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Crop Response, Weed Management Systems, and Tank Mix Partners with Isoxaflutole in HPPD Tolerant Cotton

by

Delaney Caitlin Foster, B.S.

A Thesis

In

Plant and Soil Science

Submitted to the Graduate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of

MASTER OF SCIENCE

Approved

Dr. Peter A. Dotray Chair of Committee

Dr. Frederick T. Moore

Dr. J. Wayne Keeling

Dr. Cade Coldren

Mark Sheridan Dean of the Graduate School

May, 2021

Copyright 2021, Delaney Caitlin Foster Texas Tech University, Delaney Caitlin Foster, May 2021

ACKNOWLEDGMENTS

First, I’d like to thank my committee chair and mentor Dr. Peter Dotray for taking a chance on this South Georgia girl from ABAC. Dr. Dotray truly provided me with every resource I could ever need to succeed and for that I am forever thankful.

His goal was for me to leave west Texas and share with others about my time here in the same manner I talked about my experiences in Georgia (excitedly)… I’d say he accomplished just that. Thank you for being a great mentor and providing me endless learning experiences.

Thanks are also in order to my committee members. Dr. Wayne Keeling always helped me see the big picture, I hope one day growers trust my professional opinion as much as they do his. Dr. Keeling challenged my weed ID skills more than a few times each summer with samples brought to him by growers and consultants; this seemingly small real-world experience was invaluable. Thank you to Dr. Frederick

Moore with BASF Corporation for bringing an industry perspective to the table and for advocating the importance of the IFT work, as well as helping me share my results at conferences and meetings. Dr. Cade Coldren taught the first graduate class I attended and gave me a great outside look on statistics while always being excited to learn about weed science.

A special thank you to Dr. Corey Thompson with BASF for the great advice, technical support, and answering my unending questions about this project… he could’ve easily defended my thesis better than I. Bobby, Grace, Kyle, Jon, Ubaldo, and Andrew, thank you for your companionship and support. Without all of you, I’d still be measuring plant heights in the field. To my best friend Taylor Randell, thank ii Texas Tech University, Delaney Caitlin Foster, May 2021 you for the advice and weekly phone calls from Georgia. Even moving halfway across the country, we pick up where we left off every time.

I appreciate the BASF Corporation employees who attended my field tours and conference presentations. Each of you met my project with excitement for this future technology and I’m thankful I was able to share this work with the folks who will be promoting it soon. I have no doubt these opportunities helped prepare me for professional life in the future. I would also like to thank Texas Tech University for the opportunity to research and learn in and outside of the classroom as well as Texas

A&M AgriLife Research and Extension for the use of resources and personnel.

Without either institution, my research would not have been possible.

Finally, thank you to my family – Mom, Dad, Brody, and Kelsi, for all of their love and support while I “make a career out of school”. Your encouragement means the world.

iii Texas Tech University, Delaney Caitlin Foster, May 2021

TABLE OF CONTENTS ACKNOWLEDGMENTS ...... ii

LIST OF TABLES ...... v

CHAPTER I: LITERATURE REVIEW ...... 1

Literature Cited ...... 12 CHAPTER II: COTTON RESPONSE TO SYSTEMS USING ISOXAFLUTOLE ...... 18

Abstract ...... 18 Introduction ...... 20 Materials and Methods ...... 22 Results and Discussion ...... 25 Literature Cited ...... 30 CHAPTER III: WEED MANAGEMENT IN HERBICIDE SYSTEMS USING ISOXAFLUTOLE ...... 47

Abstract ...... 47 Introduction ...... 49 Materials and Methods ...... 51 Results and Discussion ...... 52 Literature Cited ...... 55 CHAPTER IV: TANK MIX PARTNERS WITH ISOXAFLUTOLE ACROSS THE COTTON BELT ...... 63

Abstract ...... 63 Introduction ...... 65 Materials and Methods ...... 67 Results and Discussion ...... 68 Literature Cited ...... 80

iv Texas Tech University, Delaney Caitlin Foster, May 2021

LIST OF TABLES Table 2.1. Treatments, application timing, herbicide, and rates used in crop tolerance experiments at New Deal and Lubbock in 2019 and 2020...... 33 Table 2.2. Cotton response 14 days after planting at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 34 Table 2.3. Cotton response 14 days after the early postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 35 Table 2.4. Cotton response 7 days after the mid-postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 36 Table 2.5. Cotton response 10 days after the postemergence-directed application at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 37 Table 2.6. Cotton density 21 days after planting at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 38 Table 2.7. Cotton heights 14 days after the early postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 39 Table 2.8. Cotton lint yield at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 40 Table 2.9. Cotton heights at harvest at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 41 Table 2.10. Cotton micronaire measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 42 Table 2.11. Cotton length measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 43 Table 2.12. Cotton uniformity measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 44 Table 2.13. Cotton strength measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 45 Table 2.14. Cotton elongation measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials...... 46 Table 3.1. Herbicide treatments, rates, and application timings used in non- crop weed control experiments at Halfway, TX in 2019 and 2020...... 57 Table 3.2 Palmer amaranth control 14 days after the preemergence application at Halfway, TX in 2019 and 2020 systems trials...... 58 Table 3.3. Palmer amaranth control 21 days after the preemergence application at Halfway, TX in 2019 and 2020 systems trials...... 59

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Table 3.4. Palmer amaranth control and counts 21 days after the early postemergence application at Halfway, TX in 2019 and 2020 systems trials...... 60 Table 3.5. Palmer amaranth control 21 days after the mid-postemergence application at Halfway, TX in 2019 and 2020 systems trials...... 61 Table 3.6. Palmer amaranth control 10 days after the postemergence-directed application at Halfway, TX in 2019 and 2020 systems trials...... 62 Table 4.1. Details for locations of field experiments in 2019 and 2020...... 83 Table 4.2. Details for applications of field experiments in 2019 and 2020...... 84 Table 4.3. Preemergence treatments and herbicide rates used in weed control experiments across the cotton belt in 2019 and 2020...... 85 Table 4.4. Palmer amaranth control and density in Halfway, TX in 2019 and 2020...... 86 Table 4.5. Palmer amaranth control and density in Marianna, AR in 2019 and 2020...... 87 Table 4.6. Palmer amaranth control in Bixby, OK in 2019 and 2020...... 88 Table 4.7. Palmer amaranth control and density in College Station, TX in 2019 and 2020...... 89 Table 4.8. Palmer amaranth control and density in Ideal, GA in 2019 and 2020...... 90 Table 4.9. Palmer amaranth control and density in Jackson, TN in 2019 and 2020...... 91 Table 4.10. Palmer amaranth control and density in Dundee, MS in 2019 and 2020...... 92 Table 4.11. Large crabgrass control and density in Marianna, AR in 2019...... 93 Table 4.12. Large crabgrass control and density in Ideal, GA in 2019 and 2020...... 94 Table 4.13. Large crabgrass control in Bixby, OK in 2019 and 2020...... 95 Table 4.14. Morningglory species control and density in Marianna, AR in 2020...... 96 Table 4.15. Morningglory species control in Bixby, OK in 2019 and 2020...... 97 Table 4.16. Morningglory species control and density in College Station, TX in 2019 and 2020...... 98 Table 4.17. Morningglory species control and density in Jackson, TN in 2020...... 99 Table 4.18. Weed control and density in Stillwater, OK in 2019 and 2020...... 100

vi Texas Tech University, Delaney Caitlin Foster, May 2021

Table 4.19. Weed control and density in San Angelo, TX in 2019 and 2020...... 101

vii Texas Tech University, Delaney Caitlin Foster, May 2021

CHAPTER I

LITERATURE REVIEW

The history of cotton production dates back 10 to 20 million years where older varieties became domesticated in southern Asia and Africa. Over time the species evolved into the upland cotton, Gossypium hirsutum, that is grown today and has origins from Mesoamerica. Upland cotton is a woody perennial plant that humans have domesticated and grow as an annual crop. United States cotton production began circa 1605 in the southeastern colonies of Virginia, the Carolinas, and Georgia.

Between 1850 and 1950, United States cotton production increased five-fold over this

100 year period (Smith and Cothren 1999). Much of this increase can be attributed to the growth of the American textile industry as well as technological advances in both ginning and farm equipment.

More than five million hectares of cotton were planted in the United States in

2018, of which 56% were planted in Texas (USDA NASS 2018). The High Plains spanning from the northern and western borders of Texas to the Pecos River, is the largest contiguous cotton producing region in the nation and home to 66% of Texas cotton and cottonseed production (Plains Cotton Growers 2020). Cotton growers in the

United States and on the High Plains face a number of challenges such as drought, extreme weather events, diseases, nematodes, insects, weeds, and other agronomic pests.

Average annual precipitation in the High Plains is 45 centimeters, which is low in comparison to other cotton producing regions of the United States that can receive 1

Texas Tech University, Delaney Caitlin Foster, May 2021 up to 150 centimeters (National Weather Service 2008). In addition to low rainfall, the

High Plains is located above the Ogallala aquifer, a large underground water reservoir from which humans are drawing faster than it can be recharged (McGuire 2017).

These challenging environmental conditions not only make it difficult to grow dryland cotton on the High Plains, but also make it difficult to provide full irrigation because of reduced well capacity. The driest year on record was 2011 and Texas cotton producers suffered an estimated economic loss of $2.2 billion caused by drought

(Anderson et al. 2012). The High Plains also differs from other cotton regions by having a shorter growing season due to cold temperatures late in the spring and early in the fall. Other natural disasters and extreme weather events are uncontrollable challenges that cotton producers face. Hailstorms can have a significant impact on cotton production, causing total loss in some cases. McGinty et al. (2019) reported anywhere between 18 to 84% stand loss from simulated hail damage to cotton.

Hurricanes, in other parts of the country, can be detrimental as well. Hurricane

Michael caused a multi-billion dollar loss to the row crop industry in the southeast in

2018 (Martin 2018).

While the forces of nature are out of producers’ control, the negative impact of agronomic pests such as pathogens, plant parasitic nematodes, insects, and weeds can be mitigated to a large degree. In west Texas, diseases such as verticillium wilt,

Verticillium dahliae, can cause cotton yield loss of 2,400 kilograms per hectare; however, many of these disease-induced losses can be overcome by planting resistant varieties (Chawla et al. 2012). Nematodes are the leading plant pathogen in terms of

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Texas Tech University, Delaney Caitlin Foster, May 2021 yield loss in Texas, causing a 3.1% loss in 2018. The impact of nematodes can successfully be reduced by the use of crop rotation and in-furrow nematicides

(Lawrence et al. 2019; Texas A&M AgriLife Extension 2020). Perhaps the most important insect to devastate the cotton industry was the boll weevil, Anthonomus grandis. Prior to the success of the Boll Weevil Eradication Program in the 1970’s, cotton loss to the boll weevil were estimated around one-third of the yield potential

(Lange et al. 2009). More recent estimates of Texas High Plains cotton loss due to insects, commonly bollworms, thrips, and stinkbugs is 1% (Cook and Cutts 2018).

One of the most detrimental pests to cotton production are weeds. Weeds cause an average yield loss of 34% if not controlled properly (Oerke 2006). According to the

North American 2019 survey of most common and troublesome weeds in broadleaf crops, Palmer amaranth (Amaranthus palmeri S. Watson) and morningglory (Ipomoea spp) were the top two both most common and troublesome weeds in cotton production

(Van Wychen 2019). Other weeds on those lists include horseweed (Conyza canadensis L.), crabgrass (Digitaria spp), and barnyardgrass (Echinochloa crus-galli

L.). Common and troublesome weeds found in the Texas High Plains include Palmer amaranth, kochia (Bassia scoparia L.), and Russian thistle (Salsola tragus L.).

Weed management decisions have been a driving factor in agricultural production for almost 10,000 years, beginning with hand-weeding when humans began to domesticate crops (Bell 2015). In more recent centuries, mechanical weed control decreased the need for hand-pulling with the invention of mule-drawn plows, followed by self-propelled tractors and various implements to mechanically remove

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Texas Tech University, Delaney Caitlin Foster, May 2021 weeds (Timmons 2005). Current methods of mechanical weed control still include inter-row cultivation as well as implements such as rod-weeders used prior to planting to remove weeds and prepare the soil for planting. In the 1990’s, using a moldboard plow or chisel plow were common practices; however, a moldboard plow was found to be more effective than the chisel plow in both soybean (Glycine max L. Merr.) and corn (Zea mays L.) (Cox et al. 1999). These two methods of mechanical weed control suppress weed emergence by deep burial of seed. When weed pressure is moderately low, in-row cultivation and rotary hoeing can be successful means of weed control without suffering stand loss in dry beans (Phaseolus vulgaris L.) and corn (Amador-

Ramirez et al. 2001; Vangessel et al. 1995; Vangessel et al. 1998). Current research in specialty crops looking at “futuristic” means of mechanical weed control, such as precision robotic weeders and drone-mounted sprayers, is being conducted; however, these methods are still years from being adopted commercially if they succeed.

Chemical control of weeds was discovered in the most recent century. In the early 1900’s, European scientists began noticing that mixtures of heavy metal salts such as iron sulfate could be used for selective weed control in cereal crops (Zimdahl

2010). This was followed by the discovery and use of petroleum fractions (diesel oil) called naphtha and smudge-pot oil that were first used to kill vegetation on railways and roadsides (Crafts and Reiber 1948; Robinson 1973). The first phenoxy were discovered in the 1940’s, which provided growers a selective broadleaf herbicide and began the chemical era of agriculture. This was followed by the discovery and use of the triazines in following decades (LeBaron and Muller 2008). Prior to the 1960’s,

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Texas Tech University, Delaney Caitlin Foster, May 2021 flame cultivation was an attempted control method, but was replaced by more effective chemical herbicide options due to elevated gas prices and unacceptable crop injury (Seifert and Snipes 1998). In 1963, the first herbicide, trifluralin, was available in cotton and was quickly and widely accepted. Other herbicides such as fluometuron and prometryn soon followed. These herbicides, which are still used today, introduced a new concept of soil applied herbicides and provided exceptional control of many annual grass and small-seeded broadleaf weeds (Buchanan 1992).

In 1960, herbicides accounted for 18% of United States pesticide use; however, that number grew to 76% by 2008 because of new herbicide chemistries and advances in herbicide tolerant crop genetics (Fernandez-Cornejo et al. 2014). Diclofop-methyl was introduced in 1975 as the first acetyl CoA carboxylase inhibitor. This group of herbicides controlled grass weeds in broadleaf crops exceptionally well (Appleby

2005). In 1993, pyrithiobac was available as the first selective postemergence over the top herbicide for control of broadleaf weeds in cotton (Keeling et al. 1993). The most recent class of chemistry to be developed were the HPPD, or p- hydroxyphenylpyruvate dioxygenase inhibiting herbicides, which were introduced in the 1980’s (Duke 2011; Mitchell et al. 2001).

Weed species present in agricultural production fields have shifted over time based on weed management decisions made each year and over years. Selective herbicides are more effective on certain weeds than others, causing a shift in weed populations with each new herbicide discovery and new herbicide tolerant crop technology (Weber et al. 1974). tolerant cotton (BXN) was

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Texas Tech University, Delaney Caitlin Foster, May 2021 commercialized in 1995 as the first transgenic herbicide tolerant cotton. The BXN gene, which results in bromoxynil metabolism, was cloned from bacteria and transferred to plants. The expression of the BXN gene allowed cotton to tolerate postemergence over the top applications of bromoxynil, a herbicide that is phytotoxic to wild type cotton (Reddy 2004; Stalker et al. 1988). Bromoxynil was successful at controlling many problematic weeds including morningglory, common cocklebur

(Xanthium strumarium L.), and spurred anoda (Anoda cristata L. Schltdl); however, the herbicide exhibited little to no activity on Palmer amaranth. This technology was quickly phased out following the introduction of first-generation tolerant

(Roundup Ready) cotton in 1997 (Troxler et al. 2002).

In 1970, glyphosate was synthesized by Monsanto to be screened in greenhouse trials as an herbicide (Dill et al. 2010). Initially used for burndown and spot treatments, glyphosate was an effective nonselective herbicide in many cropping systems. Glyphosate was first available as an over-the-top option in transgenic cotton in 1997 and its use rapidly expanded while use of other herbicide groups such as photosystem II inhibitors and declined. By 2002, glyphosate became the leading herbicide used in cotton in terms of treated area (Webster and Nichols

2012).

Glyphosate inhibits 5-enolpyruvylshikimate-3-phosphate (EPSP) synthase, a key enzyme for aromatic amino acid synthesis. In order for cotton to achieve tolerance to glyphosate, a modified CP4 EPSP synthase enzyme was introduced (Kishore et al.

1992). The initial Roundup Ready® cotton was tolerant to applications of glyphosate

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Texas Tech University, Delaney Caitlin Foster, May 2021 through the four-leaf stage, but later applications at reproductive stages caused yield reductions of 21 to 55% (Light et al. 2003). Second generation glyphosate tolerant

(Roundup Ready Flex®) cotton became available in 2006 and allowed for an extended window of application in-season (Huff et al. 2010; Miller et al. 2008). When first introduced, in-season applications of glyphosate over-the-top were effective at controlling many Amaranthus and annual grass species, but were inadequate at controlling most morningglory, dayflower (Commelina spp), and sedges (Cyperus spp). These weeds became more problematic because tillage practices decreased with the adoption of Roundup Ready cropping systems (Culpepper 2006).

In the first five years after adopting glyphosate resistant cotton, the average number of glyphosate applications nearly doubled because of the ability to make in- season over-the-top applications (Young 2006). Over-reliance on postemergence applications of glyphosate did not properly steward the Roundup Ready technology and in 2001, glyphosate resistant weeds were reported in Roundup Ready cotton systems in Tennessee when horseweed was confirmed as the first glyphosate resistant weed in cotton (Heap 2020; Steckel and Gwathmey 2009). Four years later, the first case of glyphosate resistant Palmer amaranth was confirmed in Georgia (Culpepper et al. 2006). Today, every cotton producing state in the nation has confirmed glyphosate resistant Palmer amaranth populations (Heap 2020). The spread of glyphosate resistant

Palmer amaranth across the southern United States initiated another weed species shift, placing Palmer amaranth at the top of the list of problematic weeds in the coming years.

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Texas Tech University, Delaney Caitlin Foster, May 2021

In 2004, tolerant (LibertyLink®) cotton was commercialized.

Transgenic cotton tolerant to both glufosinate and glyphosate (GlyTol LibertyLink®) was commercialized in 2011 (Reed et al. 2014). Crops tolerant to glufosinate have the resistance (BAR) gene inserted that results in glufosinate detoxification

(Blair-Kerth et al. 2001). One weakness of glufosinate is its inconsistent weed control in dry, hot, and low humidity environments (Steckel et al. 1997). Glufosinate also should be applied so that adequate coverage is obtained because it is a contact herbicide.

In 2016, the next transgenic events became commercially available in cotton when 2,4-D (Enlist™) and (XtendFlex®) tolerant cotton varieties were available for use. These technologies were developed through the insertion of the

AAD-1 (aryloxyalkanoate dioxygenase-1) transgene and dicamba monooxygenase gene, respectively, which results in herbicide detoxification (Behrens et al. 2007;

Braxton et al. 2017; Inman et al. 2016). The following year, low volatility herbicide formulations received Federal 3 label status for use in these new cotton technologies.

These two auxinic herbicides selectively control broadleaf weeds such as Palmer amaranth, and when applied in a timely manner are effective at controlling weeds postemergence (Cahoon et al. 2015; Manuchehri et al. 2017). Use of these herbicides comes with the risk of off-target movement and tank contamination, which can be detrimental to sensitive crops such as peanut, non-tolerant cotton and soybean, and specialty crops at low concentrations (Culpepper et al. 2018).

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Texas Tech University, Delaney Caitlin Foster, May 2021

Palmer amaranth is a weed native to the dry southwestern United States and

Mexico (Sauer 1950). In a 2019 survey, Palmer amaranth was ranked as the most common and troublesome weed species among all broadleaf crops, fruits, and vegetables (Van Wychen 2019). Among the four most common Amaranthus species,

Palmer amaranth has the greatest leaf number, dry matter, and fastest growth rate per growing degree days (Horak and Loughin 2000). Steckel et al. (2004) determined that

Palmer amaranth has the greatest germination rate of the Amaranthus species. Over reliance on herbicides has led to populations of two herbicide resistant Amaranthus species in Texas (Heap 2020). In a recent state-wide survey of Palmer amaranth populations, samples collected from the High Plains Region had the greatest number of populations that were resistant or less sensitive to glyphosate, pyrithiobac, and (Garetson et al. 2019).

Palmer amaranth has the potential to make mechanical cotton harvest more difficult when weeds become entangled in harvest equipment. In dryland stripper cotton, it has been reported that machine stoppages required to dislodge large weed stems added an additional 74 to 183 minutes per hectare of harvest time in weedy cotton (Smith et al. 2000). Harvesting cotton with a picker was considered impractical when Palmer amaranth densities exceeded six plants per 9.1 m of row (Morgan et al.

2001).

Soil residual herbicides are an important tool for cotton growers because of their efficacy and ability to control potentially resistant Palmer amaranth before they emerge. Critical weed-free periods vary by crop. In cotton, an eight week weed-free

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Texas Tech University, Delaney Caitlin Foster, May 2021 period after emergence is needed to ensure minimal yield loss due to weed competition (Buchanan and Burns 1970). In Georgia, Palmer amaranth that emerged in cotton between 12- and 17-leaves had no effect on yield while earlier emerging

Palmer amaranth decreased cotton lint yield (MacRae et al. 2013). Fortunately, there are several options for preemergence herbicides in cotton; however, the majority of these herbicides are photosystem II or acetolactate synthase (ALS) inhibitors, which are two groups where a large number of resistant weed species have developed.

Isoxaflutole is a Herbicide Resistance Action Committee (HRAC) Group F2 herbicide that inhibits the plant essential enzyme p-hydroxyphenylpyruvate dioxygenase (Herbicide Resistance Action Committee 2020). P- hydroxyphenylpyruvate inhibitors are part of a larger group of carotenoid biosynthesis inhibitors. Herbicides in this group deplete plastoquinones, an essential electron acceptor in the carotenoid biosynthetic pathway, which are essential for plant life as they protect chlorophyll molecules from photooxidation caused by light. This generates singlet oxygen in the absence of carotenoids (Beaudegnies et al. 2009).

Once the carotenoid biosynthesis pathway is blocked and the formation of new carotenoids is stopped, all new plant growth show symptomology that resembles

“bleaching” or white colored meristematic tissue (Lee et al. 1997). Lipid peroxidation causes eventual plant death.

Isoxaflutole received Federal 3 label status in 1998 and has been an effective herbicide at controlling a number of annual grass and broadleaf weed species in field corn (Environmental Protection Agency 1998). When used as part of a preemergence

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Texas Tech University, Delaney Caitlin Foster, May 2021 herbicide program, isoxaflutole provided up to 95% Palmer amaranth control three weeks after application (Meyer et al. 2016). Johnson et al. (2012) found that isoxaflutole applied alone provided from 87 to 99% Palmer amaranth control eight weeks after application.

While current cotton varieties do not tolerate HPPD inhibitors, BASF

Corporation has developed HPPD-tolerant cotton that will allow growers to use isoxaflutole in future weed management programs. Adding a new mode of action to cotton weed management such as an HPPD inhibitor like isoxaflutole may increase the diversity of weed management programs, delaying the development of herbicide resistant weeds (Anderson and Hartzler 2016). According to the International Survey of Herbicide Resistant Weeds database (Heap 2020), Palmer amaranth and tall waterhemp (Amaranthus rudis Sauer) have confirmed resistance to HPPD inhibitors in the midwestern United States where these herbicides are commonly used in corn. It would be beneficial to determine the best way to integrate isoxaflutole into current local weed management programs. In addition, there would be value determining effective tank mix partners labelled for use in cotton to extend soil residual weed control and delay the development of resistance.

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Texas Tech University, Delaney Caitlin Foster, May 2021

Literature Cited

Amador-Ramirez MD, Wilson RG, Martin AR (2001) Weed control and dry bean (Phaseolus vulgaris) response to in-row cultivation, rotary hoeing, and herbicides. Weed Techol 15:429-436

Anderson DP, Welch JM, Robinson J (2012) Agricultural impacts of Texas' driest year on record. Choices: The Magazine of Food, Farm, and Resource Issues 27:1-3

Anderson M, Hartzler B (2016) Herbicide program development: using multiple sites of action. Integrated Crop Management. Integrated Crop Management Blog: Iowa State University Extension and Outreach. 1 p

Appleby AP (2005) A history of weed control in the United States and Canada - a sequal. Weed Sci 53:762-768

Beaudegnies R, Edmunds AJF, Fraser TEM, Hall RG, Hawkes TR, Mitchell G, Schaetzer J, Wendeborn S, Wibley J (2009) Herbicidal 4- hydroxyphenylpyruvate dioxygenase inhibitors—a review of the triketone chemistry story from a syngenta perspective. Bioorganic & Medicinal Chemistry 17:4134-4152

Behrens MR, Mutlu N, Chakraborty S, Dumitru R, Jiang WZ, LaVallee BJ, Herman PL, Clemente TE, Weeks DP (2007) Dicamba resistance: enlarging and preserving biotechnology-based weed management strategies. Sci 316:1185- 1188

Bell CE (2015) A Historical View of Weed Control Technology. http://ucanr.edu/blogs/blogcore/postdetail.cfm?postnum=17593 Accessed April 11, 2020.

Blair-Kerth LK, Dotray PA, Keeling JW, Gannaway JR, Oliver MJ, Guisenberry JE (2001) Tolerance of transformed cotton to glufosinate. Weed Sci 49:375-380

Braxton LB, Richburg JS, York AC, Culpepper AS, Haygood RA, Lovelace ML, Perry DH, Walton LC (2017) Resistance of Enlist™ (AAD-12) cotton to glufosinate. Weed Technol 31:380-386

Buchanan GA (1992) Trends in weed control methods. Pages 47-72 in McWhorter CG, Abernathy JR, eds. Weeds of Cotton: Characterization and Control. Memphis, TN: The Cotton Foundation

Buchanan GA, Burns ER (1970) Influence of weed competition on cotton. Weed Sci 18:149-154

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Cahoon CW, York AC, Jordan DL, Everman WJ, Seagroves RW, Culpepper AS, Eure PM (2015) Palmer amaranth (Amaranthus palmeri) management in dicamba- resistant cotton. Weed Technol 29:758-770

Chawla S, Woodward JE, Wheeler TA, Dever JK (2012) Effect of Cultivar Selection on Soil Population of Verticillium dahliae and Wilt Development in Cotton. Plant Health Progress 13:1-12

Cook DR, Cutts M (2018) Cotton Insect Losses - 2018. Accessed February 26, 2020.

Cox WJ, Singer JS, Shields EJ, Waldron KK, Bergstrom GC (1999) Agronomics and economics of different weed management systems in corn and soybean. Agron J 91:585-591

Crafts AS, Reiber HG (1948) Herbicidal properties of oils. Hilgardia 18:77-78

Culpepper AS (2006) Glyphosate-induced weed shifts. Weed Technol 20:277-281

Culpepper AS, Grey TL, Vencill WK, Kichler JM, Webster TM, Brown SM, York AC, Davis JW, Hanna WW (2006) Glyphosate-resistant Palmer amaranth (Amaranthus palmeri) confirmed in Georgia. Weed Sci 54:620-626

Culpepper AS, Smith J, Prostko E (2018) Visual Sensitivity Scale for Dicamba and 2,4-D. UGA Weed Science: University of Georgia Weed Science. 2 p

Dill GM, Sammons RD, Feng PCC, Kohn F, Kretzmer K, Mehrsheikh A, Bleeke M, Honegger JL, Farmer D, Wright D, Haupfear EA (2010) Glyphosate: Discovery, Development, Applications, and Properties. Pages 1-2 in Nandula VK, Ed. Glyphosate Resistance in Crops and Weeds: History, Development, and Management: Wiley

Duke SO (2011) Why have no new herbicide modes of action appeared in recent years? Pest Manage Sci 68:505-512

Environmental Protection Agency (1998) Pesticide Fact Sheet: Isoaxflutole: Environmental Protection Agency. 15 p

Fernandez-Cornejo J, Nehring R, Osteen C, Wechsler S, Martin A, Vialou A (2014) Pesticide use in U.S. agriculture: 21 selected crops, 1960-2008. Accessed April 2, 2020

Garetson R, Singh V, Singh S, Dotray P, Bagavathiannan M (2019) Distribution of herbicide-resistant Palmer amaranth (Amaranthus palmeri) in row crop production systems in Texas. Weed Technol 33:355-365

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Heap I (2020) The International Survey of Herbicide Resistant Weeds. Accessed June 12, 2020

Herbicide Resistance Action Committee (2020) HRAC Mode of Action Classification 2020. Accessed April 1, 2020

Horak MJ, Loughin TM (2000) Growth analysis of four Amaranthus species. Weed Sci 48:347-355

Huff JA, Reynolds DB, Dodds DM, Irby JT (2010) Glyphosate tolerance in enhanced glyphosate-resistant cotton (Gossypium hirsutum). Weed Technol:289-294

Inman MD, Jordan DL, York AC, Jennings KM, Monks DW, Everman WJ, Bollman SL, Fowler JT, Cole RM, Soteres JK (2016) Long-term management of Palmer amaranth (Amaranthus palmeri) in dicamba-tolerant cotton. Weed Sci 64:161- 169

Johnson WG, Chahal GS, Regehr DL (2012) Efficacy of various corn herbicides applied preplant incorporated and preemergence. Weed Technol 26:220-229

Keeling JW, Henniger CG, Abernathy JR (1993) Effects of DPX PE350 on cotton (Gossypium hirsutum) growth, yield, and fiber quality. Weed Technol 7:930- 933

Kishore GM, Padgette SR, Fraley RT (1992) History of herbicide-tolerant crops, methods of development and current state of the art - emphasis on glyphosate tolerance. Weed Technol 6:626-634

Lange F, Olmstead AL, Rhode PW (2009) The impact of the boll weevil, 1892-1932. The J of Economic History 69:685-718

Lawrence K, Hagan A, Norton R, Hu J, Faske T, Hutmacher R, Mueller J, Small I, Grabau Z, Kemerait B, Price P, Allen T, Atwell S, Idowu J, Thiessen L, Byrd S, Goodson J, Kelly H, Wheeler T, Isakeit T, Mehl HL (2019) Cotton disease loss estimate committee report. Pages 54-56 in Proceedings of the 2019 Beltwide Cotton Conferences. New Orleans, LA

LeBaron HM, Muller G (2008) Biology and ecology of weeds and the impact of triazine herbicides in LeBaron H, McFarland J, Burnside O, eds. The Triazine Herbicides: 50 Years Revolutionizing Agriculture 63-72

Lee DL, Prisbylla MP, Cromartie TH, Dagarin DP, W.Howard S, Provan WM, Ellis MK, Fraser T, Mutter LC (1997) The discovery and structural requirements of inhibitors of p-hydroxyphelynpyruvate dioxygenase. Weed Technol 45:601- 609

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Light GG, Baughman TA, Dotray PA, Keeling JW, Wester DB (2003) Yield of glyphosate-tolerant cotton as affected by topical glyphosate applications on the Texas High Plains and Rolling Plains. J of Cotton Sci 7:231-235

MacRae AW, Webster TM, Sosnoskie LM, Culpepper AS, Kichler JM (2013) Cotton yield loss potential in response to length of Palmer amaranth (Amaranthus palmeri) interference. J of Cotton Sci 17:227-232

Manuchehri MR, Dotray PA, Keeling JW (2017) Enlist weed control systems for Palmer amaranth (Amaranthus palmeri) management in Texas High Plains cotton. Weed Technol 31:793-798

Martin J (2018) Georgia farmers face long recovery from hurricane michael crop losses. Insurance Journal. 1 p

McGinty J, Morgan G, Mott D (2019) Cotton response to simulated hail damage and stand loss in central texas. J of Cotton Sci 23:1-6

McGuire VL (2017) Water-level and recoverable water in storage changes, High Plains aquifer, predevelopment to 2015 and 2013-2015. U.S. Geological Survey Scientific Investigations Report 2017. 14 p https://doi.org/10.3133/sir20175040

Meyer CJ, Norsworthy JK, Young BG, Steckel LE, Bradley KW, Johnson WG, Loux MM, Davis VM, Kruger GR, Bararpour MT, Ikley JT, Spaunhorst DJ, Butts TR (2016) Early-season Palmer amaranth and waterhemp control from preemergence programs utilizing 4-hydroxyphenylpyruvate dioxygenase– inhibiting and auxinic herbicides in soybean. Weed Technol 30:67-75

Miller DK, Zumba JX, Blouin DC, Bagwell R, Burris E, Clawson EL, Leonard BR, Scroggs DM, Stewart AM, Vidrine PR (2008) Second-generation glyphosate- resistant cotton tolerance to combinations of glyphosate with insecticides and mepiquat chloride. Weed Technol 22:81-85

Mitchell G, Bartlett DW, Fraser TE, Hawkes TR, Holt DC, Townson JK, Wichert RA (2001) : a new selective herbicide for use in maize. Pest Manage Sci 57:120-128

Morgan GD, Baumann PA, Chandler JM (2001) Competitive impact of Palmer amaranth (Amaranthus palmeri) on cotton (Gossypium hirsutum) development and yield. Weed Technol 15:408-412

National Weather Service Lubbock TX (2008) Official Precipitation and its Collection History Accessed March 28, 2020

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Plains Cotton Growers (2020) Cotton 101. https://plainscotton.org/cotton-101/. Accessed February 22, 2020

Oerke EC (2006) Crop losses to pests. J of Agricultural Sci 144:31-43

Reddy KN (2004) Weed control and species shift in bromoxynil- and glyphosate- resistant cotton (Gossypium hirsutum) rotation systems. Weed Technol 18:131- 139

Reed JD, Keeling JW, Dotray PA (2014) Palmer amaranth (Amaranthus palmeri) management in GlyTol LibertyLink cotton. Weed Technol 28:592-600

Robinson EL (1973) Weed control in cotton with emulsified oils and herbicidal naphtha. Weed Sci 21:402-404

Sauer JD (1950) The Grain Amaranths: A survey of Their History and Classification. Annals of the Missouri Botanical Garden 1990 37:561-632

Seifert S, Snipes CE (1998) Response of cotton (Gossypium hirsutum) to flame cultivation. Weed Technol 12:470-473

Smith CW, Cothren JT (1999) Development of the World Cotton Industry Cotton: Origin, History, Technology, and Production. Pp 65-99

Smith DT, Baker RV, Steele GL (2000) Palmer Aamaranth (Amaranthus palmeri) impacts on yield, harvesting, and ginning in dryland cotton (Gossypium hirsutum). Weed Technol 14:122-126

Stalker DM, McBride KE, Malyj LD (1988) Herbicide resistance in transgenic plants expressing a bacterial detoxification gene. Science 242:419-422

Steckel GJ, Wax LM, Simmons FW, Phillips WH (1997) Glufosinate efficacy on annual weeds is influenced by rate and growth stage. Weed Technol 11:484- 488

Steckel LE, Gwathmey CO (2009) Glyphosate-resistant horseweed (Conyza canadensis) growth, seed production, and interference in cotton. Weed Sci 57:346-350

Steckel LE, Sprague CL, Stoller EW, Wax LM (2004) Temperature effects on germination of nine Amaranthus species. Weed Sci 52:217-221

Texas A&M AgriLife Extension (2020) Cotton Plant Disease Handbook. Plant Disease Handbook https://plantdiseasehandbook.tamu.edu/problems- treatments/problems-affecting-multiple-crops/root-knot-nematodes/. Accessed March 23, 2020. 16

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Timmons FL (2005) A history of weed control in the United States and Canada. Weed Sci 18:294-307

Troxler SC, Askew SD, Wilcut JW, Smith WD, Paulsgrove MD (2002) , , and bromoxynil systems for bromoxynil-resistant cotton (Gossypium hirsutum). Weed Technol 16:838-844

USDA NASS (2018) Annual Cotton Review https://www.nass.usda.gov/Statistics_by_State/Texas/Publications/Current_Ne ws_Release/2018_Rls/tx-cotton-review-2018.pdf. Accessed March 4, 2020

Van Wychen L (2019) 2019 Survey of the most common and troublesome weeds in broadleaf crops, fruits, & vegetables in the United States and Canada. Accessed March 19, 2020

Vangessel MJ, Schweizer EE, Lybecker DW, Westra P (1995) Compatibility and efficiency of in-row cultivation for weed management in corn (Zea mays). Weed Technol 9:754-760

Vangessel MJ, Schweizer EE, Wilson RG, Wiles LJ, Westra P (1998) Impact of timing and frequency of in-row cultivation for weed control in dry bean (Phaseolus vulgaris). Weed Technol 12:548-553

Weber JB, Best JA, Witt WW (1974) Herbicide residues and weed shifts on modified- soil field plots. Weed Sci 22:427-433

Webster TM, Nichols RL (2012) Changes in the prevalence of weed species in the major agronomic crops of the southern United States: 1994/1995 to 2008/2009. Weed Sci 60:145-157

Young BG (2006) Changes in herbicide use patterns and production practices resulting from glyphosate-resistant crops. Weed Technol 20:301-307

Zimdahl RL (2010) A History of Weed Science in the United States. Burlington, MA: Elsevier. Pp. 79-81

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CHAPTER II COTTON RESPONSE TO HERBICIDE SYSTEMS USING ISOXAFLUTOLE D. C. Foster, P. A. Dotray, C. N. Thompson, G. Baldwin, F. T. Moore

Abstract

Over half of the nation’s cotton is planted in Texas with 1.6 million hectare residing in the High Plains region. Since 2011, glyphosate resistant Palmer amaranth has increased weed control costs in cotton production and alternatives to glyphosate- based systems are needed. Integrating soil residual herbicides into a weed management system is an effective strategy to control glyphosate resistant weeds before they emerge. BASF Corporation is developing p-hydroxyphenylpyruvate dioxygenase (HPPD) tolerant cotton, which will allow growers to use isoxaflutole, an

HPPD inhibiting HRAC Group F2 herbicide, in future weed management programs.

Field experiments were conducted at New Deal and Lubbock, Texas in 2019 and 2020 to determine HPPD-tolerant cotton response to isoxaflutole applied preemergence or early postemergence to 2- to 4-leaf cotton. Visual cotton response was evaluated 14 days after the preemergence and early postemergence applications, 7 days after the mid-postemergence application, and 10 days after the postemergence-directed application. Cotton stand, height, and lint yield and quality also were evaluated. At

New Deal, cotton response was greatest following the early postemergence application, but never exceeded 10%. Cotton response was greatest following the preemergence application at Lubbock in 2019, but never exceeded 14%. In 2020 at

Lubbock, cotton was replanted due to severe weather. There was <1% cotton response following the preemergence application and maximum cotton response observed was 18

Texas Tech University, Delaney Caitlin Foster, May 2021

9% following the early postemergence and mid-postemergence applications. Cotton response was undetectable by late season. There were no differences in cotton stand at either location. Cotton lint yields ranged from 1,214-1,425 kg ha-1 at New Deal and

675-758 kg ha-1 and 1,544-1729 kg ha-1 in Lubbock in 2019 and 2020, respectively.

Lint yields and fiber quality parameters following isoxaflutole treatments were not different from the nontreated weed-free control.

Nomenclature: Cotton, Gossypium hirsutum L.; isoxaflutole; p- hydroxyphenylpyruvate dioxygenase.

Key words: Crop response; preemergence

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Introduction

In 2018, 56% of the more than five million hectares of cotton (Gossypium hirsutum L.) in the United States were planted in Texas (USDA NASS 2018). The

High Plains region is the largest contiguous cotton producing region in the nation where 66% of Texas cotton and cottonseed production is located (Plains Cotton

Growers 2020). One of the most detrimental pests to cotton production are weeds.

Weeds cause an average yield loss of 34% if not controlled properly (Oerke 2006).

According to the 2019 survey of most common and troublesome weeds in broadleaf crops, Palmer amaranth (Amaranthus Palmeri S. Watson) and morningglory (Ipomoea spp) are the top two most common and most troublesome weeds in cotton production

(Van Wychen 2019). Other weeds listed include horseweed (Conyza canadensis L.), crabgrass (Digitaria spp), and barnyardgrass (Echinochloa crus-galli L.).

Troublesome weeds found in the Texas High Plains include Palmer amaranth, kochia

(Bassia scoparia L.), and Russian thistle (Salsola tragus L.).

Palmer amaranth is native to the semi-arid southwestern United States and

Mexico (Sauer 1950). Palmer amaranth was ranked as the most common and troublesome weed among all broadleaf crops, as well as in fruit and vegetable production (Van Wychen 2019). Among the four most common Amaranthus species,

Palmer amaranth has the greatest leaf number and dry matter and has the fastest growth rate per growing degree days (Horak and Loughin 2000). Steckel et al. (2004) determined that Palmer amaranth has the greatest germination rate of the Amaranthus species. Intensive use of herbicides has led to populations of seven different herbicide

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Texas Tech University, Delaney Caitlin Foster, May 2021 resistant weeds in Texas (Heap 2020). In a recent state-wide survey of Texas Palmer amaranth, samples collected from the High Plains region of west Texas had the greatest number of populations that were resistant or less sensitive to glyphosate, pyrithiobac, and atrazine (Garetson et al. 2019).

Controlling herbicide resistant Palmer amaranth before emergence can be achieved using soil residual herbicides (Young 2006), making them an important tool for cotton growers. In cotton, an eight week weed-free period after emergence is needed to ensure minimal yield loss due to weed competition (Buchanan and Burns

1970). In Georgia, Palmer amaranth that emerged between the 12- and 17- leaf stage of cotton had no effect on yield while earlier emerging weeds decreased lint yield

(MacRae et al. 2013). Fortunately, there are several options for preemergence herbicides in cotton; however, the majority of these herbicides are photosystem II and acetolactate synthase (ALS) inhibitors, two groups where large numbers of resistant weed species have developed (Heap 2020).

Isoxaflutole is an Herbicide Resistance Action Committee (HRAC) Group F2 herbicide that inhibits the plant essential enzyme p-hydroxyphenylpyruvate dioxygenase, also known as HPPD (Herbicide Resistance Action Herbicide 2020). P- hydroxyphenylpyruvate inhibitors are part of a larger group of carotenoid biosynthesis inhibitors. Herbicides in this group deplete plastoquinones, an essential electron acceptor in the carotenoid biosynthetic pathway that are essential for plant life as they protect chlorophyll molecules from photooxidation. This generates singlet oxygen in the absence of carotenoids (Beaudegnies et al. 2009). Once the carotenoid biosynthesis

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Texas Tech University, Delaney Caitlin Foster, May 2021 pathway is blocked and the formation of new carotenoids is stopped, all new plant growth show symptomology that resembles “bleaching” or white colored meristematic tissue (Lee et al. 1997). Lipid peroxidation causes eventual plant death.

Isoxaflutole received Federal 3 label status in 1998 and has been an effective herbicide at controlling a number of annual grass and broadleaf weeds in field corn

(Zea mays L.) (Environmental Protection Agency 1998). When used as part of a preemergence herbicide program, isoxaflutole provided up to 95% Palmer amaranth control three weeks after application (Meyer et al. 2016). Johnson et al. (2012) found that isoxaflutole controlled Palmer amaranth 87 to 99% eight weeks after application.

While current cotton varieties do not tolerate HPPD inhibitors, BASF Corporation has developed HPPD-tolerant cotton that will allow growers to use isoxaflutole in future weed management programs pending germplasm approval. The objective of this study was to determine HPPD-tolerant cotton response to isoxaflutole used in a season-long herbicide system.

Materials and Methods

Field experiments were conducted in 2019 and 2020 at the Texas Tech

University New Deal Research Farm (33.730881°N, -101.734796°W) near New Deal,

TX and at the BASF Corporation Breeding and Trait Development Research Farm

(33.581785°N, -101.779416°W) in Lubbock, TX. The soil type at New Deal was a

Pullman sandy clay loam (19% sand, 42% silt, and 39% clay) with a pH of 8.2 and 1% organic matter (USDA-NRCS). The New Deal location was equipped with subsurface

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Texas Tech University, Delaney Caitlin Foster, May 2021 drip irrigation. Cotton was planted using a John Deere 1700 MaxEmerge cone planter at New Deal on May 15, 2019 and May 16, 2020. The target planting density at both locations was 145,000 plants per hectare. At New Deal, total in-season irrigation was

364 mm and 371 mm and rainfall was 469 mm and 218 mm in 2019 and 2020, respectively. At New Deal, trifluralin at 1.12 kg ai ha-1 was applied and incorporated twice to a depth of 5 cm using a rolling cultivator on April 9, 2019 and March 25,

2020. Plots were maintained weed-free throughout the season by hand-weeding, cultivation, and use of clethodim at 0.25 kg ai ha-1 plus 1% v/v crop oil concentrate. At

New Deal, harvest aids at 1.26 kg ai ha-1 and thidiazuron+diuron at

0.11+0.05 kg ai ha-1 were applied on September 30, 2020. On October 7, 2020, at 0.28 kg ai ha-1 plus 0.25% v/v nonionic surfactant was applied to finish preparing cotton for harvest. Harvest aids were not applied in 2019.

The Lubbock location soil was an Amarillo fine sandy loam (66% sand, 15% silt, and 19% clay) with a pH of 8.4 and less than 1% organic matter. The Lubbock location was equipped with overhead center pivot sprinkler irrigation. Cotton was planted using a John Deere 1700 MaxEmerge cone planter at Lubbock on May 29,

2019 and May 26, 2020. At Lubbock in 2020, high force winds destroyed emerged cotton on June 9, so cotton was replanted on existing beds with minimal soil disturbance on June 11. At Lubbock, total in-season irrigation was 102 mm and 377 mm and rainfall was 497 mm and 167 mm in 2019 and 2020, respectively. At

Lubbock, a blanket treatment of trifluralin at 0.84 kg ai ha-1 was applied and incorporated to a depth of 5 cm using a tandem plow with double disc lister on March

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Texas Tech University, Delaney Caitlin Foster, May 2021

18, 2019 and April 1, 2020. To aid in weed control at the Lubbock location, S- at 1.07 kg ai ha-1 was applied over the entire trial area on May 28 and July

11 in 2019 and May 28 in 2020 and diuron at 0.9 kg ai ha-1 was applied under a hooded sprayer on July 28, 2020. At Lubbock, harvest aids ethephon at 1.26 kg ai ha-1 and thidiazuron+diuron at 0.11+0.05 kg ai ha-1 were applied on October 2, 2019 and

October 20, 2020. On October 14, 2019, pyraflufen ethyl at 0.006 kg ai ha-1 was applied to finish preparing cotton for harvest.

Treatments were arranged in a randomized complete block design with four replications and listed in Table 2.1. Plot size was four 101.6 cm rows by 7.6 m in length with the center two rows receiving herbicide treatments. All herbicides were applied using a CO2-pressurized backpack sprayer equipped with AIXR 11002 nozzles

(TeeJet® Technologies, Glendale Heights, IL) calibrated to deliver 140 L ha-1 at 4.85 kph using 220 kPa. Ammonium sulfate at 2.82 kg ha-1 was added to all treatments containing glufosinate.

Visual cotton response was evaluated on a 0-100% scale (0 being no visual response and 100 being all plants dead) (Frans et al. 1986) at both locations 14 days after the preemergence (PRE) and early postemergence (EPOST) applications, 7 days after the mid-postemergence (MPOST) application, and 10 days after the post- emergence directed (PDIR) application. Cotton stand was determined in 2 m from the center two rows 21 days after the PRE application except in Lubbock in 2020 where stand was recorded 21 days after the replanting, which was 37 days after the initial

PRE application. The height of six plants chosen randomly per plot (three each from

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Texas Tech University, Delaney Caitlin Foster, May 2021 the center two rows) was recorded by measuring plants to the tallest part of the growing point 14 days after the EPOST application and just prior to harvest.

At New Deal, yield data was collected per plot using a 2 row John Deere 7445 cotton stripper and at Lubbock with a John Deere 7460 cotton stripper, both equipped with calibrated load cells to determine plot yield. A 25-boll sample was collected at random from the center two rows of each plot just prior to mechanical harvest.

Samples were ginned on a 20-saw table top gin to calculate lint percentage. Fiber samples were sent to Texas Tech’s Fiber and Biopolymer Institute in Lubbock, TX in

2019 and BASF’s internal lab in Leland, MS in 2020 for fiber quality analysis using

High Volume Instrument testing. Lint yield was calculated on a per plot basis by multiplying plot yield by the lint percentage from the 25-boll sample.

Data were analyzed using the GLIMMIX procedure (2014 Version 9.4, SAS

Institute Inc., Cary, NC) for analysis of variance and Tukey’s HSD at alpha = 0.05.

Locations were analyzed separately and at Lubbock, years also were analyzed separately because of the need to replant cotton in 2020. Year was considered a random effect at New Deal to broaden the inference space and account for environmental variability when making a recommendation (Blouin et al. 2011; Carmer et al. 1989; Moore and Dixon 2014).

Results and Discussion

At 14 days after the PRE treatment, cotton response (stunting and discoloration) was ≤6% for all treatments at New Deal (Table 2.2). The only response

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Texas Tech University, Delaney Caitlin Foster, May 2021

>5% was from the isoxaflutole plus prometryn plus treatment. At

Lubbock in 2019, cotton response ranged from 1-14%. The lowest response occurred in treatments with isoxaflutole plus fluometuron or pendimethalin (1%) and the greatest response occurred in plots treated with isoxaflutole plus prometryn (14%). In

2020 at Lubbock, cotton response was <3% when evaluated 14 days after replanting

(31 days after the PRE application) and was similar for all treatments.

At New Deal, cotton response 14 days after the EPOST treatment ranged from

8-10% (Table 2.3). Cotton response at Lubbock 14 days after the EPOST treatment ranged from 6-9% in both 2019 and 2020. Cotton response across treatments at all locations were similar 14 days after the EPOST applications. Seven days after the

MPOST treatment, no cotton response was observed at New Deal (Table 2.4). At

Lubbock, cotton response ranged from 6-9% 7 days after the MPOST treatment in

2019 and 2020 and were not different among treatments.

At 10 days after the PDIR treatment, cotton response was ≤1% at New Deal and no response was observed either year at Lubbock (Table 2.5). Similarly in HPPD- tolerant soybean (Glycine max L. Merr.), Schultz et al. (2015) observed ≤2% injury following isoxaflutole PRE at rates up to 0.14 kg ai ha-1. Smith et al. (2019) observed less than 10% bleaching from isoxaflutole applied PRE at 9 of 10 field sites tested.

Cotton density 21 days after the PRE application ranged from 89,000-110,000 plants ha-1 at New Deal (Table 2.6). In 2019 at the Lubbock location, cotton density ranged from 131,000-168,000 plants ha-1 21 days after the PRE application. Twenty- one days after replanting and 37 days after the PRE application, cotton density ranged

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Texas Tech University, Delaney Caitlin Foster, May 2021 from 141,000-157,000 plants ha-1 in 2020. Cotton densities were similar among treatments and the nontreated control at all locations and years.

At New Deal, cotton height from the nontreated control was 25 cm while cotton height in herbicide treated plots ranged from 23-24 cm 14 days after the

EPOST treatments (Table 2.7). In 2019 at Lubbock, cotton height in the nontreated control was 22 cm while herbicide treatments reduced cotton height 1-3 cm 14 days after the EPOST treatments. Cotton height was always highest in the nontreated control.

At New Deal, cotton lint yield ranged from 1,214-1,425 kg ha-1 and yield following all herbicide treatments were similar to the nontreated control (1,416 kg ha-1) (Table 2.8). All treatments yielded >1,400 kg ha-1 except the systems containing isoxaflutole plus pendimethalin and isoxaflutole plus prometryn plus pendimethalin, both followed by plus glufosinate (1,214-1,235 kg ha-1). At Lubbock in

2019, cotton lint yield ranged from 675-758 kg ha-1 and yield following all herbicide treatments did not differ from the nontreated control (730 kg ha-1). In 2020, lint yield ranged from 1,544-1729 kg ha-1 and all herbicide treatments were similar to the nontreated control (1,729 kg ha-1).

In 2020 at Lubbock, herbicide treatments reduced cotton height 1-4 cm when compared to the nontreated control (28 cm) 14 days after the EPOST treatment. At harvest, cotton height at New Deal ranged from 70-83 cm and all herbicide treatments were similar to the nontreated control (74 cm) (Table 2.9). At Lubbock in 2019, cotton height from the nontreated control was 64 cm while cotton height in herbicide treated

27

Texas Tech University, Delaney Caitlin Foster, May 2021 plots ranged from 59-64 cm at harvest. In 2020 at Lubbock, the nontreated control cotton height was 71 cm. Isoxaflutole plus prometryn (½ rate) and isoxaflutole plus prometryn both followed by S-metolachlor plus glufosinate and prometryn followed by isoxaflutole plus glufosinate with and without glyphosate decreased cotton height at harvest (64-65 cm).

At New Deal, cotton micronaire following all herbicide systems ranged from

4.0-4.3 and all systems were similar to the nontreated control (4.2) (Table 2.10). At

Lubbock in 2019, micronaire ranged from 4.3-4.6 and in 2020 ranged from 3.3-3.8 and micronaire following all systems were similar to the nontreated control (4.4 and

3.5, respectively). Length measurements at New Deal were 1.1 cm for all herbicide systems (Table 2.11). At Lubbock, length was 1.0 cm for all herbicide systems in 2019 and ranged from 1.1-1.2 cm in 2020 and length following all herbicide systems were not different from the nontreated control (1.2 cm). Cotton uniformity at New Deal ranged from 81.3-82.2% and all treatments were similar to the nontreated control

(81.6%) (Table 2.12). At Lubbock in 2019, uniformity ranged from 80.0-81.6% and in

2020 uniformity ranged from 82.4-83.6%. All treatments had similar cotton uniformity when compared to the nontreated control in both years (80.6 and 82.8%, respectively).

At New Deal, cotton strength ranged from 29.4-30.8 g tex-1 and all treatments were similar to the nontreated control (29.4 g tex-1) (Table 2.13). Strength at Lubbock ranged from 26.8-28.5 g tex-1 and 30.1-31.8 g tex-1 in 2019 and 2020, respectively. All treatments had similar cotton strength when compared to the nontreated control in both years (26.8 and 31.7 g tex-1, respectively). Cotton elongation at New Deal ranged

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Texas Tech University, Delaney Caitlin Foster, May 2021 from 6.0 to 6.2% and no treatment differed from the nontreated control (6.2%) (Table

2.14). At Lubbock in 2019, elongation ranged from 5.6-5.8% and in 2020 ranged from

5.8-7.2% and all treatments had similar cotton elongation when compared to the nontreated control (5.6 and 7.1%, respectively).

This study suggests that the opportunity to use isoxaflutole in cotton weed management systems will present no adverse effects on cotton yield and fiber quality.

Cotton height was decreased at all locations following the EPOST treatment and at harvest at Lubbock in 2020. Cotton density was not affected by treatments of isoxaflutole when compared to the nontreated control. Isoxaflutole will provide cotton growers a novel site of action for weed control without risk of negative crop response.

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Literature Cited

Beaudegnies R, Edmunds AJF, Fraser TEM, Hall RG, Hawkes TR, Mitchell G, Schaetzer J, Wendeborn S, Wibley J (2009) Herbicidal 4- hydroxyphenylpyruvate dioxygenase inhibitors—a review of the triketone chemistry story from a syngenta perspective. Bioorganic and Medicinal Chemistry 17:4134-4152

Blouin DC, Webster EP, Bond JA (2011) On the analysis of combined experiments. Weed Technol 25:165-169

Buchanan GA, Burns ER (1970) Influence of weed competition on cotton. Weed Sci 18:149-154

Carmer SG, Nyquist WE, Walker WM (1989) Least significant differences for combined analyses of experiments with two- or three- factor treatment designs. Agron J 81:665-672

Environmental Protection Agency (1998) Pesticide Fact Sheet: Isoaxflutole: Environmental Protection Agency. 15 p

Frans RE, Talbert R, Marx D, Crowley H (1986) Experimental design and techniques for measuring and analyzing plant response to weed control practices. Pages 29-46 in Camper ND, ed. Research Methods in Weed Science. Champaign: Southern Weed Science Society

Garetson R, Singh V, Singh S, Dotray P, Bagavathiannan M (2019) Distribution of herbicide-resistant Palmer amaranth (Amaranthus palmeri) in row crop production systems in Texas. Weed Technol 33:355-365

Heap I (2020) The International Survey of Herbicide Resistant Weeds. Accessed December 30, 2020.

Herbicide Resistance Action Committee (2020) HRAC Mode of Action Classification 2020. Accessed December 30, 2020.

Horak MJ, Loughin TM (2000) Growth analysis of four Amaranthus species. Weed Sci 48:347-355

Johnson WG, Chahal GS, Regehr DL (2012) Efficacy of various corn herbicides applied preplant incorporated and preemergence. Weed Technol 26:220-229

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Lee DL, Prisbylla MP, Cromartie TH, Dagarin DP, SWHoward, Provan W, Ellis MK, Fraser T, Mutter LC (1997) The discovery and structural requirements of inhibitors of p-hydroxyphelynpyruvate dioxygenase. Weed Technol 45:601- 609

MacRae AW, Webster TM, Sosnoskie LM, Culpepper AS, Kichler JM (2013) Cotton yield loss potential in response to length of Palmer amaranth (Amaranthus palmeri) interference. J of Cotton Sci 17:227-232

Meyer CJ, Norsworthy JK, Young BG, Steckel LE, Bradley KW, Johnson WG, Loux MM, Davis VM, Kruger GR, Bararpour MT, Ikley JT, Spaunhorst DJ, Butts TR (2016) Early-season Palmer amaranth and waterhemp control from preemergence programs utilizing 4-hydroxyphenylpyruvate dioxygenase– inhibiting and auxinic herbicides in soybean. Weed Technol 30:67-75

Moore KJ, Dixon PM (2014) Analysis of combined experiments revisited. Agron J 107:763-771

Oerke EC (2006) Crop losses to pests. J Agric Sci 144:31-43

Plains Cotton Growers (2020) Cotton 101. https://plainscotton.org/cotton-101/. Accessed February 22, 2020

Sauer JD (1950) The Grain Amaranths: A survey of Their History and Classification. Annals of the Missouri Botanical Garden 1990 37:561-632

Schultz JL, Weber M, Allen J, Bradley KW (2015) Evaluation of weed management programs and response of FG72 soybean to HPPD-inhibiting herbicides. Weed Technol 29:653-664

Smith A, Soltani N, Kaastra AJ, Hooker DC, Robinson DE, Sikkema PH (2019) Annual weed management in isoxaflutole-resistant soybean using a two-pass weed control strategy. Weed Technol 33:411-425

Steckel LE, Sprague CL, Stoller EW, Wax LM (2004) Temperature effects on germination of nine Amaranthus species. Weed Sci 52:217-221

USDA NASS (2018) Annual Cotton Review https://www.nass.usda.gov/Statistics_by_State/Texas/Publications/Current_Ne ws_Release/2018_Rls/tx-cotton-review-2018.pdf. Accessed March 4, 2020.

USDA NRCS: Official soil series. https.//soilseries.sc.egov.usda.gov/ Accessed January 11, 2021

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Van Wychen L (2019) 2019 Survey of the most common and troublesome weeds in broadleaf crops, fruits, and vegetables in the United States and Canada. Accessed March 19, 2020.

Young BG (2006) Changes in herbicide use patterns and production practices resulting from glyphosate-resistant crops. Weed Technol 20:301-307

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Table 2.1. Treatments, application timing, herbicide, and rates used in crop tolerance experiments at New Deal and Lubbock in 2019 and 2020.

Herbicide Rate Application timinga kg ai or ae ha-1 Nontreated Control --

Prometryn 1.35 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + prometryn 0.11 + 1.35 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + pendimethalin 0.11 + 1.12 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + prometryn + pendimethalin 0.11 + 1.35 + 1.12 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + prometryn 0.11 + 0.67 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + prometryn 0.11 + 1.35 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + fluometuron 0.11 + 1.12 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Prometryn 1.35 PRE Isoxaflutole + glufosinate 0.11 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Prometryn 1.35 PRE Isoxaflutole + glufosinate + glyphosate 0.11 + 0.88 + 2.1 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR a Abbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence.

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Table 2.2. Cotton response 14 days after planting at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton responsebc New Deal Lubbock PRE Herbicidesd 2019/2020 2019 2020 ------%------Nontreated NA NA NA Prometryn 3 bc 6 bc 0 Isoxaflutole + fluometuron 1 c 1 c 1 Isoxaflutole + prometryn 5 ab 14 a 0 Isoxaflutole + prometryn + pendimethalin 6 a 9 ab 1 Isoxaflutole + ½ prometryn 2 c 4 bc 2 Isoxaflutole + pendimethalin 1 c 1 c 1 aAbbreviations: PRE, preemergence. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. c Cotton response data were combined across years at New Deal but separated at Lubbock. d All herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, and pendimethalin at 1.12.

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Table 2.3. Cotton response 14 days after the early postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton responsebc Herbicide systemd New Deal Lubbock PRE EPOSTe 2019/2020 2019 2020 ------%------Nontreated NA NA NA Prometryn S-metolachlor + glufosinate 8 7 8 Isoxaflutole + prometryn Dimethenamid + glufosinate 10 8 7 Isoxaflutole + pendimethalin Dimethenamid + glufosinate 10 7 6 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate 9 8 8 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate 9 6 9 Isoxaflutole + prometryn S-metolachlor + glufosinate 9 9 8 Isoxaflutole + fluometuron S-metolachlor + glufosinate 9 7 9 Prometryn Isoxaflutole + glufosinate 9 6 6 Prometryn Isoxaflutole + glufosinate + glyphosate 10 7 8 aAbbreviations: EPOST, early postemergence; PRE, preemergence. bCotton response data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. d All herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, and glyphosate at 2.1. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.4. Cotton response 7 days after the mid-postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton responsebc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST 2019/2020 2019 2020 ------%------Nontreated NA NA NA Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 0 7 8 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate 0 8 7 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate 0 7 6 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate 0 9 8 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 0 8 9 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 0 8 8 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate 0 7 9 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate 0 7 6 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate 0 7 8 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PRE, preemergence. b Cotton response data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, and glyphosate at 2.1. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.5. Cotton response 10 days after the postemergence-directed application at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton responsebc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------%------Nontreated NA NA NA Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1 0 0 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 0 0 0 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 0 0 0 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 0 0 0 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1 0 0 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1 0 0 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 0 0 0 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 1 0 0 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 1 0 0 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton response data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.6. Cotton density 21 days after planting at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton densitybc New Deal Lubbock PRE Herbicidesd 2019/2020 2019 2020 ------1,000 plants ha-1------Nontreated 110 168 148 Prometryn 109 142 142 Isoxaflutole + fluometuron 98 145 141 Isoxaflutole + prometryn 109 131 141 Isoxaflutole + prometryn + pendimethalin 89 131 157 Isoxaflutole + ½ prometryn 95 135 151 Isoxaflutole + pendimethalin 110 124 143 aAbbreviations: PRE, preemergence. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. cCotton density data were combined across years at New Deal but separated at Lubbock. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, and pendimethalin at 1.12.

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Table 2.7. Cotton heights 14 days after the early postemergence application at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton heightbc Herbicide systemd New Deal Lubbock PRE EPOSTe 2019/2020 2019 2020 ------cm------Nontreated 25 a 22 a 28 a Prometryn S-metolachlor + glufosinate 24 ab 21 a 26 ab Isoxaflutole + prometryn Dimethenamid + glufosinate 23 b 20 ab 25 ab Isoxaflutole + pendimethalin Dimethenamid + glufosinate 23 b 20 ab 24 b Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate 23 b 19 b 26 ab Isoxaflutole + ½ prometryn S-metolachlor + glufosinate 24 ab 20 ab 27 ab Isoxaflutole + prometryn S-metolachlor + glufosinate 24 ab 20 ab 24 b Isoxaflutole + fluometuron S-metolachlor + glufosinate 24 ab 21 a 25 ab Prometryn Isoxaflutole + glufosinate 23 b 20 ab 24 b Prometryn Isoxaflutole + glufosinate + glyphosate 24 ab 21 a 26 ab aAbbreviations: EPOST, early postemergence; PRE, preemergence. bCotton height data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, and glyphosate at 2.1. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.8. Cotton lint yield at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton lint yieldbc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------kg ha-1------Nontreated 1416 730 1729 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1425 718 1685 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 1329 707 1632 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 1235 688 1686 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 1214 675 1628 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1332 706 1714 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1332 723 1613 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1367 758 1544 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 1353 680 1654 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 1367 688 1650 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton lint yield data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.9. Cotton heights at harvest at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Cotton heightbc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------cm------Nontreated 74 64 71 a Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 75 63 67 ab Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 74 64 68 ab Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 74 62 67 ab Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 74 61 70 ab Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 72 59 65 b Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 70 62 65 b Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 83 60 66 ab Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 75 62 65 b Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 73 60 64 b aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton height data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.10. Cotton micronaire measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Micronairebc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 Nontreated 4.2 4.4 3.5 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 4.2 4.5 3.7 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 4.1 4.6 3.3 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 4.0 4.4 3.7 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 4.1 4.3 3.5 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 4.3 4.3 3.8 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 4.1 4.4 3.7 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 4.0 4.3 3.6 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 4.1 4.5 3.8 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 4.1 4.5 3.7 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton fiber quality data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.11. Cotton length measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Lengthbc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------cm------Nontreated 1.1 1.0 1.2 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1.1 1.0 1.2 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 1.1 1.0 1.2 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 1.1 1.0 1.2 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 1.1 1.0 1.2 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1.1 1.0 1.2 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1.1 1.0 1.1 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 1.1 1.0 1.1 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 1.1 1.0 1.2 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 1.1 1.0 1.2 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton fiber quality data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.12. Cotton uniformity measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Uniformitybc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------%------Nontreated 81.6 80.6 82.8 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 81.9 80.4 83.6 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 81.8 81.6 82.9 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 82.0 80.8 82.4 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 82.2 80.5 82.7 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 81.7 80.7 82.9 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 81.6 80.6 83.3 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 81.3 80.1 82.7 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 81.7 81.1 83.1 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 81.5 80.0 83.3 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton fiber quality data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.13. Cotton strength measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Strengthbc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------g tex-1------Nontreated 29.4 26.8 31.7 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 30.8 26.8 31.3 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 29.4 27.3 31.3 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 30.7 28.2 30.7 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 30.2 27.7 31.3 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 30.0 27.4 30.1 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 30.0 27.7 30.7 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 30.4 28.5 31.8 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 29.5 27.8 30.8 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 30.3 27.8 31.1 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton fiber quality data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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Table 2.14. Cotton elongation measurements at New Deal and Lubbock, TX in 2019 and 2020 systems trials.a Elongationbc Herbicide systemd New Deal Lubbock PRE EPOSTe MPOST PDIR 2019/2020 2019 2020 ------%------Nontreated 6.2 5.6 7.1 Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 6.1 5.7 7.1 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 6.0 5.6 7.0 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 6.1 5.7 7.2 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 6.1 5.6 7.2 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 6.0 5.7 7.2 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 6.1 5.8 7.2 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 6.1 5.6 6.8 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 6.1 5.7 7.2 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 6.1 5.6 7.2 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bCotton fiber quality data were combined across years at New Deal but separated at Lubbock. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. dAll herbicides used according to labelled rates in kg ai ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and diuron at 1.12. e2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate.

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CHAPTER III WEED MANAGEMENT IN HERBICIDE SYSTEMS USING ISOXAFLUTOLE D. C. Foster, P. A. Dotray, C. N. Thompson, G. Baldwin, F. T. Moore

Abstract

The southern United States produces 90% of the nation’s cotton and the Texas

High Plains is the largest contiguous production region. Since 2011, cotton production has been threatened by the rapid increase of glyphosate-resistant Palmer amaranth populations and alternatives to heavy reliance on glyphosate in glyphosate-based systems are needed. Integrating soil residual herbicides into a weed management system is an effective strategy to control glyphosate resistant weeds before they emerge. BASF Corporation is developing p-hydroxyphenylpyruvate dioxygenase tolerant cotton, which will allow growers to use isoxaflutole in future cotton weed management systems. In 2019 and 2020, non-crop field experiments were conducted at the Texas A&M AgriLife Research Center in Halfway, TX to determine the efficacy of isoxaflutole applied preemergence or early postemergence as part of a cotton weed management system. At 14 and 21 days after the preemergence treatment, all treatments containing isoxaflutole controlled Palmer amaranth ≥94%. All treatments controlled Palmer amaranth ≥94% 21 days after the early postemergence application. Palmer amaranth density 21 days after the early postemergence treatment was reduced 88-100% in herbicide treated plots and 40,365 plants ha-1 were present in the nontreated control. All systems that included isoxaflutole preemergence decreased

Palmer amaranth density 96-99% while treatments with isoxaflutole applied early postemergence decreased Palmer amaranth density 88-94% when compared to the 47

Texas Tech University, Delaney Caitlin Foster, May 2021 nontreated control. Twenty-one days after the mid-postemergence treatment, systems with isoxaflutole in the early postemergence application controlled Palmer amaranth

88-93% while systems with isoxaflutole preemergence controlled Palmer amaranth

94-98%. End of season weed control was lowest in the system without isoxaflutole

(88%) and when isoxaflutole was used in the early postemergence application (88-

91%).

Nomenclature: Isoxaflutole; Palmer amaranth, Amaranthus palmeri S. Wats.; p- hydroxyphenylpyruvate dioxygenase.

Key words: Weed management; preemergence

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Introduction

One of the most detrimental impediments to efficient cotton production is the presence of weeds. According to the 2019 survey of most common and troublesome weeds in broadleaf crops, Palmer amaranth (Amaranthus palmeri S. Watson) was the most common and troublesome weed in cotton (Gossypium hirsutum L.) production

(Van Wychen 2019). Cotton growers rely on a number of strategies to manage weeds including cultivation, cultivar selection, cover crops, and herbicides. Many herbicide- resistant crop traits have come to market including cotton tolerance to bromoxynil, glyphosate, glufosinate, dicamba, and 2,4-D. Over-reliance on glyphosate led to weed populations rapidly evolving resistance to the herbicide that was once an effective stand-alone product. To be successful at managing weeds, cotton growers need to adopt a season-long systems approach that includes the use of several application timings and herbicide modes of action (Burke et al. 2005; Scott et al. 2002; Toler et al.

2002).

Soil residual herbicides are an important tool for cotton growers because of their efficacy and ability to control herbicide resistant Palmer amaranth before they emerge. In cotton, an eight week weed-free period after emergence was needed to ensure minimal yield loss due to weed competition (Buchanan and Burns 1970). In

Georgia, Palmer amaranth that emerged between 12- and 17-leaf cotton had no effect on yield while earlier emerging weeds decreased lint yield, which provides strong evidence on the importance of early-season weed control (MacRae et al. 2013).

Fortunately, there are several preemergence herbicide options in cotton production;

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Texas Tech University, Delaney Caitlin Foster, May 2021 however, the majority of these herbicides are photosystem II and acetolactate synthase inhibitors, which are the two mode of action groups where the largest number of resistant weed species have developed (Heap 2020).

Some herbicides act at the plant essential enzyme p-hydroxyphenylpyruvate dioxygenase and are known as HPPD inhibitors (Herbicide Resistance Action

Herbicide 2020). P-hydroxyphenylpyruvate inhibitors are Weed Science Society of

America Group 27 herbicides and part of a larger group of carotenoid biosynthesis inhibitors. Herbicides in this group deplete plastoquinones, an essential electron acceptor in the carotenoid biosynthetic pathway, which are essential for plant life as they protect chlorophyll molecules from photooxidation. This generates singlet oxygen in the absence of carotenoids (Beaudegnies et al. 2009). Once the carotenoid biosynthesis pathway is blocked and the formation of new carotenoids stopped, all new plant growth show symptoms that resemble “bleaching” or white colored meristematic tissue (Lee et al. 1997).

BASF Corporation has recently developed HPPD-tolerant cotton. If approved, this technology will allow growers to use isoxaflutole in future weed management programs. Adding a new mode of action to cotton weed management such as an HPPD inhibitor will increase the diversity of weed management programs and delay the development of herbicide resistant weeds to currently available herbicides in cotton

(Anderson and Hartzler 2016). Determining the best way to integrate isoxaflutole into current cotton weed management systems would be beneficial. The objective of this

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Texas Tech University, Delaney Caitlin Foster, May 2021 study was to evaluate season-long weed management programs in cotton by incorporating isoxaflutole applied preemergence or early postemergence.

Materials and Methods

In 2019 and 2020, non-crop field experiments were conducted at the Texas

A&M AgriLife Research Center (34.1861009°N, -101.9460551°W) in Halfway, TX.

The soil was a Pullman clay loam (22.5% sand, 44.5% silt, and 33% clay) with a pH of 8.4 and less than 1% organic matter (USDA-NRCS). This research site is equipped with overhead center pivot sprinkler irrigation. A blanket treatment of trifluralin at

1.12 kg ai ha-1 was applied and incorporated to a depth of 5 cm using a field cultivator on March 5, 2019 and March 6, 2020. Each year treatments were arranged in a randomized complete block design with four replications as listed in Table 3.1. All herbicides were applied using a CO2-pressurized backpack sprayer equipped with

AIXR 11002 nozzles (TeeJet® Technologies, Glendale Heights, IL) calibrated to deliver 140 L ha-1 at 4.82 kph using 220 kPa. Ammonium sulfate at 2.82 kg ha-1 was added to all treatments containing glufosinate. In 2019, herbicide applications were made on May 15, June 11, July 10, and July 31 for preemergence (PRE), early postemergence (EPOST), mid-postemergence (MPOST), and postemergence-directed

(PDIR) treatments, respectively. In 2020, herbicide applications were made on May

18, June 12, July 15, and August 6. Preemergence herbicides were sprinkler-activated within 48 hours of application using 1.9 cm water.

Palmer amaranth control was evaluated on a 0-100% scale (0 being no control and 100 being no Palmer amaranth present) (Frans et al. 1986) 14 and 21 days after

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Texas Tech University, Delaney Caitlin Foster, May 2021 the PRE application, 21 days after the EPOST and MPOST applications, and 10 days after the PDIR application. Palmer amaranth density was recorded by counting the total number of plants present between the center two rows of four 101.6-cm rows by

102 cm 21 days after the EPOST applications. Total in-season irrigation was 95 mm and 398 mm in 2019 and 2020, respectively. Total in-season rainfall was 233 mm in

2019 and 123 mm in 2020. Data were analyzed using the GLIMMIX procedure (2014

Version 9.4, SAS Institute Inc., Cary, NC) for analysis of variance and Tukey’s HSD at alpha = 0.05. Year was considered a random effect to broaden the inference space and account for environmental variability when making a recommendation; therefore, data were pooled across years (Blouin et al. 2011; Carmer et al. 1989; Moore and

Dixon 2014).

Results and Discussion

At 14 and 21 days after the PRE application, all treatments containing isoxaflutole controlled Palmer amaranth ≥94%, while prometryn controlled Palmer amaranth ≤90% (Tables 3.2 and 3.3). At 21 days after the PRE application, isoxaflutole plus fluometuron and isoxaflutole plus prometryn plus pendimethalin completely controlled Palmer amaranth (Table 3.3). All treatments controlled Palmer amaranth ≥94% 21 days after the EPOST application (Table 3.4). Palmer amaranth density 21 days after the EPOST treatment ranged from 269-4,777 plants ha-1 in herbicide-treated plots and 40,365 plants ha-1 in the nontreated control. When compared to the nontreated control, all systems that included isoxaflutole PRE

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Texas Tech University, Delaney Caitlin Foster, May 2021 decreased Palmer amaranth density 96-99% while treatments with isoxaflutole applied

EPOST decreased Palmer amaranth density 88-94%. Prometryn followed by (fb) S- metolachlor plus glufosinate decreased Palmer amaranth density by 90% when compared to the nontreated control.

Twenty-one days after the MPOST treatment, systems with isoxaflutole applied EPOST controlled Palmer amaranth 88-93% while systems with isoxaflutole

PRE controlled Palmer amaranth 94-98% (Table 3.5). The system without isoxaflutole controlled Palmer amaranth 90% 21 days after the MPOST treatment. Ten days after the PDIR treatment, systems containing isoxaflutole PRE and diuron PDIR controlled

Palmer amaranth 97-98% at the end of the season while systems containing isoxaflutole PRE without a PDIR application controlled Palmer amaranth 87-96%

(Table 3.6). End of season weed control was lowest in the system without isoxaflutole

(88%) and when isoxaflutole was used in the EPOST application (88-91%).

In corn, isoxaflutole applied PRE alone fb glufosinate postemergence (POST) controlled Palmer amaranth 91% at the end-of-season (Stephenson and Bond 2012).

Similar to this new technology in cotton, soybean (Glycine max L. Merr.) tolerance to isoxaflutole also has been developed. In soybean, isoxaflutole at 105 g plus , a common PRE treatment in soybean, provided full-season residual control of Amaranthus species (Smith et al. 2019). In cotton, fluometuron and prometryn are common PRE herbicides, both of which increased season-long broadleaf weed control compared to a POST-only system (Porterfield et al. 2002;

Scroggs et al. 2007). Similarly, Grichar et al. (2004) found that tank mixing PRE

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Texas Tech University, Delaney Caitlin Foster, May 2021 herbicides in cotton increased season-long control of Amaranthus species while at the same time diversifying weed control programs. Isoxaflutole was most effective on

Palmer amaranth when applied before weed emergence but had little effect on emerged weeds. The opportunity to use isoxaflutole in cotton will improve season- long control of Palmer amaranth and add a novel site of action in weed management systems when integrated as part of an overall weed management program.

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Literature Cited

Anderson M, Hartzler B (2016) Herbcide program development: using multiple sites of action Integrated Crop Management. Integrated Crop Management Blog: Iowa State University Extension and Outreach 1 p

Beaudegnies R, Edmunds AJF, Fraser TEM, Hall RG, Hawkes TR, Mitchell G, Schaetzer J, Wendeborn S, Wibley J (2009) Herbicidal 4- hydroxyphenylpyruvate dioxygenase inhibitors—a review of the triketone chemistry story from a syngenta perspective. Bioorganic and Medicinal Chemistry 17:4134-4152

Blouin DC, Webster EP, Bond JA (2011) On the analysis of combined experiments. Weed Technol 25:165-169

Buchanan GA, Burns ER (1970) Influence of weed competition on cotton. Weed Sci 18:149-154

Burke IC, Troxler SC, Askew SD, Wilcut JW, Smith WD (2005) Weed management systems in glyphosate-resistant cotton. Weed Technol 19:422-429

Carmer SG, Nyquist WE, Walker WM (1989) Least significant differences for combined analyses of experiments with two- or three- factor treatment designs. Agron J 81:665-672

Frans R E, Talbert R, Marx D, Crowley H (1986) Experimental design and techniques for measuring and analyzing plant response to weed control practices. Pages 29-46 in Camper ND, ed. Research Methods in Weed Science. Champaign: Southern Weed Science Society

Grichar WJ, Besler BA, Brewer KD, Minton BW (2004) Using soil-applied herbicides in combination with glyphosate in a glyphosate-resistant cotton herbicide program. Crop Prot 23:1007-1010

Heap I (2020) The International Survey of Herbicide Resistant Weeds. Accessed December 30, 2020.

Herbicide Resistance Action Committee (2020) HRAC Mode of Action Classification 2020. Accessed December 30, 2020.

Lee DL, Prisbylla MP, Cromartie TH, Dagarin DP, SWHoward, Provan W, Ellis MK, Fraser T, Mutter LC (1997) The discovery and structural requirements of inhibitors of p-hydroxyphenylpyruvate dioxygenase. Weed Technol 45:601- 609

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MacRae AW, Webster TM, Sosnoskie LM, Culpepper AS, Kichler JM (2013) Cotton yield loss potential in response to length of Palmer amaranth (Amaranthus palmeri) interference. J of Cotton Sci 17:227-232

Moore KJ, Dixon PM (2014) Analysis of combined experiments revisited. Agron J 107:763-771

Porterfield D, Wilcut JW, Askew SD (2002) Weed management with CGA-362622, fluometuron, and prometryn in cotton. Weed Sci 50:642-647

Scott GH, Askew SD, Wilcut JW (2002) Glyphosate systems for weed control in glyphosate-tolerant cotton (Gossypium hirsutum). Weed Technol 16:191-198

Scroggs DM, Miller DK, Griffin JL, Wilcut JW, Blouin DC, Stewart AM, Vidrine PR (2007) Effectiveness of preemergence herbicide and postemergence glyphosate programs in second-generation glyphosate-resistant cotton. Weed Technol 21:877-881

Smith A, Soltani N, Kaastra AJ, Hooker DC, Robinson DE, Sikkema PH (2019) Annual weed management in isoxaflutole-resistant soybean using a two-pass weed control strategy. Weed Technol 33:411-425

Stephenson DO, Bond JA (2012) Evaluation of thiencarbazone-methyl and isoxaflutole-based herbicide programs in corn. Weed Technol 26:37-42

Toler JE, Murdock EC, Keeton A (2002). Weed management systems for cotton (Gossypium hirsutum) with reduced tillage, Weed Technol 16:773-780

USDA NRCS: Official soil series. https.//soilseries.sc.egov.usda.gov/ Accessed January 11, 2021

Van Wychen L (2019) 2019 Survey of the most common and troublesome weeds in broadleaf crops, fruits, and vegetables in the United States and Canada. Accessed March 19, 2020.

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Table 3.1. Herbicide treatments, rates, and application timings used in non-crop weed control experiments at Halfway, TX in 2019 and 2020. Herbicide Rate Application Timinga kg ai or ae ha-1 Nontreated Control --

Prometryn 1.35 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + prometryn 0.11 + 1.35 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + pendimethalin 0.11 + 1.12 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + prometryn + pendimethalin 0.11 + 1.35 + 1.12 PRE Dimethenamid + glufosinate 0.84 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST

Isoxaflutole + prometryn 0.11 + 0.67 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + prometryn 0.11 + 1.35 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + fluometuron 0.11 + 1.12 PRE S-metolachlor + glufosinate 1.4 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Prometryn 1.35 PRE Isoxaflutole + glufosinate 0.11 + 0.88 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Prometryn 1.35 PRE Isoxaflutole + glufosinate + glyphosate 0.11 + 0.88 + 2.1 EPOST Glyphosate + glufosinate 2.1 + 0.88 MPOST Diuron 1.12 PDIR

Isoxaflutole + prometryn 0.11 + 1.35 PRE S-metolachlor + dicamba + glyphosate 1.4 + 0.56 + 2.1 EPOST Dicamba + glyphosate 0.56 + 2.1 MPOST

Prometryn 1.35 PRE Isoxaflutole + dicamba + glyphosate 0.11 + 0.56 + 2.1 EPOST Dicamba + glyphosate 0.56 + 2.1 MPOST a Abbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence.

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Table 3.2 Palmer amaranth control 14 days after the preemergence application at Halfway, TX in 2019 and 2020 systems trials.a Palmer amaranth controlb PRE Herbicide Treatmentc 2019/2020d ------%------Prometryn 90 b Isoxaflutole + fluometuron 100 a Isoxaflutole + prometryn 100 a Isoxaflutole + prometryn + pendimethalin 100 a Isoxaflutole + ½ prometryn 98 ab Isoxaflutole + pendimethalin 94 b aAbbreviations: PRE, preemergence. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. cAll herbicides used according to labelled rates in kg ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, and pendimethalin at 1.12. dPalmer amaranth control data were combined across years.

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Table 3.3. Palmer amaranth control 21 days after the preemergence application at Halfway, TX in 2019 and 2020 systems trials.a Palmer amaranth controlb PRE Herbicide Treatmentc 2019/2020d ------%------Prometryn 89 b Isoxaflutole + fluometuron 100 a Isoxaflutole + prometryn 99 a Isoxaflutole + prometryn + pendimethalin 100 a Isoxaflutole + ½ prometryn 97 ab Isoxaflutole + pendimethalin 94 ab aAbbreviations: PRE, preemergence. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. cAll herbicides used according to labelled rates in kg ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, and pendimethalin at 1.12. dPalmer amaranth control data were combined across years.

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Table 3.4. Palmer amaranth control and counts 21 days after the early postemergence application at Halfway, TX in 2019 and 2020 systems trials.a Weed control systembc Palmer amaranth controld Palmer amaranth density PRE EPOST 2019/2020e ------%------plants ha-1------Nontreated 40,365 a Prometryn S-metolachlor + glufosinate 95 3,834 b Isoxaflutole + prometryn Dimethenamid + glufosinate 100 404 b Isoxaflutole + pendimethalin Dimethenamid + glufosinate 98 1,009 b Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate 100 605 b Isoxaflutole + ½ prometryn S-metolachlor + glufosinate 98 807 b Isoxaflutole + prometryn S-metolachlor + glufosinate 99 1,412 b Isoxaflutole + fluometuron S-metolachlor + glufosinate 100 672 b Prometryn Isoxaflutole + glufosinate 94 3,498 b Prometryn Isoxaflutole + glufosinate + glyphosate 95 4,777 b Isoxaflutole + prometryn S-metolachlor + dicamba + glyphosate 99 269 b Prometryn Isoxaflutole + dicamba + glyphosate 96 2,355 b aAbbreviations: EPOST, early postemergence; PRE, preemergence. bAll herbicides used according to labelled rates in kg ai or ae ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and dicamba at 0.56. c2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate. dTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. ePalmer amaranth control and density data were combined across years.

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Table 3.5. Palmer amaranth control 21 days after the mid-postemergence application at Halfway, TX in 2019 and 2020 systems trials.a Weed control systemb Palmer amaranth controlc PRE EPOSTd MPOST 2019/2020e ------%------Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 90 ab Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate 94 ab Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate 94 ab Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate 96 ab Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 97 ab Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate 97 ab Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate 96 ab Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate 90 ab Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate 88 b Isoxaflutole + prometryn S-metolachlor + dicamba + glyphosate Dicamba + glyphosate 98 a Prometryn Isoxaflutole + dicamba + glyphosate Dicamba + glyphosate 93 ab aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PRE, preemergence. bAll herbicides used according to labelled rates in kg ai or ae ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.4, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.1, and dicamba at 0.56. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. d2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate. ePalmer amaranth control data were combined across years.

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Table 3.6. Palmer amaranth control 10 days after the postemergence-directed application at Halfway, TX in 2019 and 2020 systems trials.a Weed control systemb Palmer amaranth controlc PRE EPOSTd MPOST PDIR 2019/2020e ------%------Prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 88 Isoxaflutole + prometryn Dimethenamid + glufosinate Glufosinate + glyphosate -- 90 Isoxaflutole + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 87 Isoxaflutole + prometryn + pendimethalin Dimethenamid + glufosinate Glufosinate + glyphosate -- 89 Isoxaflutole + ½ prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 98 Isoxaflutole + prometryn S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 98 Isoxaflutole + fluometuron S-metolachlor + glufosinate Glufosinate + glyphosate Diuron 97 Prometryn Isoxaflutole + glufosinate Glufosinate + glyphosate Diuron 89 Prometryn Isoxaflutole + glufosinate + glyphosate Glufosinate + glyphosate Diuron 88 Isoxaflutole + prometryn S-metolachlor + dicamba + glyphosate Dicamba + glyphosate -- 96 Prometryn Isoxaflutole + dicamba + glyphosate Dicamba + glyphosate -- 91 aAbbreviations: EPOST, early postemergence; MPOST, mid-postemergence; PDIR, postemergence-directed; PRE, preemergence. bAll herbicides used according to labelled rates in kg ai or ae ha-1: prometryn at 1.35, isoxaflutole at 0.11, fluometuron at 1.12, pendimethalin at 1.12, S-metolachlor at 1.40, dimethenamid at 0.84, glufosinate at 0.88, glyphosate at 2.10, dicamba at 0.56, and diuron at 1.12. cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05. d2.52 kg/ha ammonium sulfate was included in all treatments containing glufosinate. ePalmer amaranth control data were combined across years.

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CHAPTER IV TANK MIX PARTNERS WITH ISOXAFLUTOLE ACROSS THE COTTON BELT D. C. Foster, P. A. Dotray, T. A. Baughman, S. A. Byrd, A. S. Culpepper, D. M.

Dodds, S. D. Hall, J. P. McNeal, B. Norris, R. L. Noland, S. Nolte, M. House, J. K.

Norsworthy, R. B. Farr, L. Steckel and C. N. Thompson

Abstract

The increase in number of herbicide resistant weeds threatens cotton production and profitability and is forcing producers to use multiple herbicide modes of action to manage weeds. P-hydroxyphenylpyruvate dioxygenase (HPPD) inhibitors are a relatively new class of herbicide chemistry first available for use in the 1980’s.

While current varieties do not tolerate HPPD inhibitors, BASF Corporation has developed HPPD-tolerant cotton that will allow growers to use isoxaflutole in future weed management programs. Using multiple modes of action that include soil residual herbicides will increase weed management options and help in the stewardship of old and new technologies to slow the development and spread of herbicide resistant weeds. In 2019 and 2020, a multi-state research project was developed to examine weed control following isoxaflutole applied preemergence alone and when used with a number of tank mix partners at their high and low labelled rates. There were nine and ten locations conducted in six states in both years. In 5 of 7 locations, Palmer amaranth (Amaranthus palmeri) was completely controlled at 14 days after application when isoxaflutole was mixed with the high rate of either fluometuron, prometryn, or

S-metolachlor. At 28 days after application, Palmer amaranth was controlled ≥95% at

6 of 7 locations with the addition of the high rate of diuron or fluridone. The addition 63

Texas Tech University, Delaney Caitlin Foster, May 2021 of the high rate of diuron or fluridone provided the greatest control 42 days after application at 4 of 7 locations. At all three locations where large crabgrass (Digitaria sanguinalis) was present, isoxaflutole plus the high rate of diuron provided the greatest control at 14 days after application. At 28 days after application, isoxaflutole plus the high rate of diuron, fluridone, pendimethalin, or S-metolachlor or isoxaflutole plus the low rate of fluometuron controlled large crabgrass ≥95% in 2 of 3 locations.

In 2 of 3 locations, isoxaflutole plus the high rate of pendimethalin or S-metolachlor improved large crabgrass control at 42 days after application when compared to isoxaflutole alone. At 14 and 21 days after application, morningglory control was

≥95% at all locations where this weed was present following isoxaflutole plus of the high rate of diuron and at 3 of 4 locations following isoxaflutole plus the high rate of fluometuron. At 42 days after application at all locations, isoxaflutole plus diuron or fluridone and isoxaflutole plus the high rate of fluometuron improved morningglory control compared to isoxaflutole alone. These results suggest that isoxaflutole applied preemergence alone or in tank mixture is efficacious on a number of cross-spectrum annual weeds in cotton and extended weed control may be achieved when isoxaflutole is tank mixed with a number of currently available soil residual herbicides.

Nomenclature: Cotton, Gossypium hirsutum L.; isoxaflutole; Palmer amaranth,

Amaranthus palmeri S. Wats.; p-hydroxyphenylpyruvate dioxygenase; large crabgrass, Digitaria sanguinalis L.; morngingglory, Ipomoea spp.

Key words: Tank mixes; preemergence

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Introduction

From the onset to the peak of the Roundup Ready era, the use of soil residual herbicides decreased because postemergence-topical applications of glyphosate effectively controlled most weed species (Faircloth et al. 2001; Young 2006). Over- reliance on glyphosate did not properly steward the Roundup Ready technology and glyphosate resistant weeds began appearing in 2001 in Tennessee when horseweed

(Conyza canadensis L.) was confirmed as the first glyphosate resistant weed in cotton

(Gossypium hirsutum L.) (Heap 2020; Steckel and Gwathmey 2009). Soil-active herbicides are important tools for cotton growers because of their broad spectrum efficacy and ability to control herbicide resistant Palmer amaranth (Amaranthus palmeri S. Watson) before they emerge.

There are 515 unique cases of herbicide resistant weeds in the United States

(Heap 2020). The most recent herbicide class of chemistry developed were the p- hydroxyphenylpyruvate dioxygenase inhibitors, also known as HPPD inhibitors, which were introduced in the 1980’s. Unfortunately, there are currently two

Amaranthus species with confirmed resistance to HPPD inhibitors (Duke 2011; Heap

2020; Mitchell et al. 2001). The Herbicide Resistance Action Committee (HRAC) classifies isoxaflutole as a Group F2 herbicide that inhibits the plant essential enzyme

HPPD (Herbicide Resistance Action Herbicide 2020). P- hydroxyphenylpyruvate inhibitors are part of a larger group of carotenoid biosynthesis inhibitors. Herbicides in this group deplete plastoquinone, an essential electron acceptor in the carotenoid biosynthetic pathway, which are essential for plant life as they protect chlorophyll

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Texas Tech University, Delaney Caitlin Foster, May 2021 molecules from photooxidation. This generates an abundance of singlet oxygen in the absence of carotenoids (Beaudegnies et al. 2009). Once the carotenoid biosynthesis pathway is blocked and the formation of new carotenoids stopped, all new plant growth show symptomology that resembles “bleaching” or albino colored meristematic tissue (Lee et al. 1997).

Isoxaflutole received Federal 3 label status in 1998 and has been an effective herbicide at controlling a number of annual grass and broadleaf weed species in field corn (Zea mays L.) (Environmental Protection Environmental 1998). When used as part of a preemergence herbicide program, isoxaflutole provided up to 95% Palmer amaranth control three weeks after application (Meyer et al. 2016). When applied preemergence, isoxaflutole alone provided 87 to 99% Palmer amaranth control eight weeks after application (Johnson et al. 2012). Diggle et al. (2003) reported that when herbicides were applied in combination, resistance to only one did not occur because plants with resistance to only one herbicide were adequately controlled by the other herbicide. Synergism has been observed between the photosystem II inhibiting herbicides and p-hydroxyphenylpyruvate dioxygenase inhibiting herbicides

(Abendroth et al. 2006; Woodyard et al. 2009).

Adding a new mode of action to cotton weed management such as an HPPD inhibitor like isoxaflutole will increase the diversity of weed management programs and delay the development of herbicide resistant weeds (Anderson and Hartzler 2016).

While current cotton varieties do not tolerate HPPD inhibitors, BASF Corporation has developed HPPD-tolerant cotton that will allow growers to use isoxaflutole in future

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Texas Tech University, Delaney Caitlin Foster, May 2021 weed management programs. According to the 2019 survey of most common and troublesome weeds in broadleaf crops, Palmer amaranth and morningglory (Ipomoea spp) are the top two most common and most troublesome weeds in cotton production

(Van Wychen 2019). Other weeds on those lists include horseweed, crabgrass

(Digitaria spp), and barnyardgrass (Echinochloa crus-galli L.). Isoxaflutole has been studied alone and in tank-mix with many corn and current soybean (Glycine max L.

Merr.) herbicides, but has never been studied with cotton herbicides. Therefore, the objective of this study was to determine effective tank mix partners with isoxaflutole to extend soil residual weed control across the cotton belt.

Materials and Methods

Non-crop field experiments were conducted at ten locations in 2019 and nine locations in 2020 across the cotton belt. Site details are provided in Table 4.1.

Applications were made with a CO2-pressurized backpack sprayer and all locations received at least 6 mm rainfall or sprinkler irrigations within the first 13 days to activate the preemergence treatments (Table 4.2). Treatments included isoxaflutole alone and applied in tank mix with high and low rates of commonly used preemergence herbicides in cotton (Table 4.3).

Weed control by species was evaluated on a 0-100% scale (0 being no control and 100 being no presence of the target weed) (Frans et al. 1986) every seven days starting fourteen days after application and concluded forty nine days after application.

Weed density by species was recorded in two one-half meter quadrants in each plot

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Texas Tech University, Delaney Caitlin Foster, May 2021 between 21 and 35 days after application. Data were separated by location but year was considered a random effect to broaden the inference space and account for environmental variability when making a recommendation; therefore, data were pooled across years (Blouin et al. 2011; Carmer et al. 1989; Moore and Dixon 2014).

Data were analyzed using the GLIMMIX procedure (2014 Version 9.4, SAS Institute

Inc., Cary, NC) for analysis of variance and Tukey’s HSD at alpha = 0.05.

Results and Discussion

Palmer amaranth

At Halfway, TX, Palmer amaranth control and density was evaluated in 2019 and 2020. At 14 days after application, all treatments controlled Palmer amaranth

≥99% (Table 4.4) and all treatments controlled Palmer amaranth ≥97% at 28 days after application. At 42 days after application, all treatments controlled Palmer amaranth >95% except for isoxaflutole alone (93%) and isoxaflutole plus prometryn

(92-93%), pendimethalin (94%), or the low rate of fluridone (94%). Palmer amaranth density in the nontreated control was 31,673 plants ha-1 35 days after application.

Palmer amaranth density in all treatments were similar and decreased to 0-5% of the nontreated control.

At Marianna, AR, Palmer amaranth control was evaluated in 2019 and 2020 and density was recorded in 2019. At 14 days after application, all treatments controlled Palmer amaranth ≥98% (Table 4.5). All treatments controlled Palmer amaranth ≥97% at 28 days after application except for isoxaflutole plus the low rate of

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Texas Tech University, Delaney Caitlin Foster, May 2021 pyrithiobac (94%). Twenty-eight days after application in 2019, Palmer amaranth density decreased 63-100% when compared to the nontreated control (52,000 plants ha-1). At this evaluation time, complete Palmer amaranth control was observed following isoxaflutole alone and tank mixed with fluometuron or pendimethalin, the low rate of prometryn, fomesafen, S-metolachlor, or pyrithiobac, or the high rate of fluridone. At 42 days after application, all treatments controlled Palmer amaranth

>90% except isoxaflutole plus the low rate of pendimethalin (89%), pyrithiobac (85%) or the high rate of (89%).

At Bixby, OK, Palmer amaranth control was evaluated in 2019 and 2020.

Density was not measured at this site. All treatments controlled Palmer amaranth

≥99% 14 days after application except isoxaflutole alone (98%) (Table 4.6). At 28 days after application, all treatments controlled Palmer amaranth ≥94% except isoxaflutole alone (82%) and isoxaflutole plus the low rate of pendimethalin (84%) or both rates of pyrithiobac (83-87%). By 42 days after application, only isoxaflutole plus the high rate of prometryn, diuron, or acetochlor controlled Palmer amaranth

≥75%. All tank mix partners increased Palmer amaranth control compared to isoxaflutole alone (31%) at 42 days after application.

At College Station, TX, Palmer amaranth control and density were evaluated in

2019 and 2020. At 14 days after application, all treatments controlled Palmer amaranth ≥97% except isoxaflutole plus the low rate of pendimethalin (93%) (Table

4.7). The only treatments that failed to control Palmer amaranth >90% 28 days after application were isoxaflutole alone and isoxaflutole tank mixed with the low rate of

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Texas Tech University, Delaney Caitlin Foster, May 2021 fomesafen. Palmer amaranth density in the nontreated control was 346,900 plants ha-1

28 days after application. All treatments decreased Palmer amaranth density 85-100%.

At 42 days after application, isoxaflutole alone controlled Palmer amaranth 79%, while isoxaflutole plus diuron or the high rate of fluridone or S-metolachlor controlled

Palmer amaranth ≥98%.

At Ideal, GA, Palmer amaranth control and density were recorded in 2019 and

2020, but control at 42 days after application was evaluated only in 2019. All treatments controlled Palmer amaranth ≥99% when evaluated 14 days after application

(Table 4.8). At 28 days after application, isoxaflutole alone controlled Palmer amaranth 61% while the addition of diuron, fluridone, fomesafen, S-metolachlor, or acetochlor or the high rate of pendimethalin improved Palmer amaranth control to

≥90%. Palmer amaranth density in the nontreated control was 928,000 plants ha-1 28 days after application. Isoxaflutole applied alone decreased Palmer amaranth density by 67% while the addition of a tank mix partner decreased Palmer amaranth density

74-99%. Palmer amaranth densities were <10,000 plants ha-1 following isoxaflutole plus the high rate of diuron or fomesafen and following isoxaflutole plus fluridone. At

42 days after application in 2019, all tank mix partners controlled Palmer amaranth

80-99%, which was greater than the control following isoxaflutole alone (64%) and isoxaflutole tank mixed with the low rate of fluometuron (67%), prometryn (74%), fomesafen (79%), or both rates of pyrithiobac (71-75%). Both rates of diuron, fluridone, acetochlor, or the high rate of fomesafen and S-metolachlor controlled

Palmer amaranth >90% when tank mixed with isoxaflutole.

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At Jackson, TN, Palmer amaranth control and density were evaluated in 2019 and 2020. At 14 days after application, all treatments controlled Palmer amaranth

≥96% (Table 4.9). At 28 days after application, only isoxaflutole plus the high rate of fomesafen or acetochlor controlled Palmer amaranth >90%. Palmer amaranth density was 268,000 plants ha-1 in the nontreated control and ranged from 40,000 to 732,000 plants ha-1 following all PRE treatments 28 days after application. Only the addition of the high rate of fluridone, fomesafen, or the low rate of acetochlor reduced Palmer amaranth density >100,000 plants ha-1. At 42 days after application, poor Palmer amaranth control was observed (21-57%) and was similar across treatments.

At Dundee, MS, Palmer amaranth control and density were evaluated in 2019 and 2020. Palmer amaranth control was ≥98% following all treatments except isoxaflutole alone (88%) and isoxaflutole plus pyrithiobac (86%) 14 days after application (Table 4.10). At 28 days after application, isoxaflutole alone and the addition of the high rate of pyrithiobac controlled Palmer amaranth 73% while all other tank mix partners controlled this weed 87-95%. Palmer amaranth density in the nontreated control was 1,370,000 plants ha-1. All treatments lowered Palmer amaranth density except isoxaflutole alone (860,000 plants ha-1), isoxaflutole plus the low rate of fluometuron (660,000 plants ha-1), and isoxaflutole plus the high rate of pyrithiobac

(580,000 plants ha-1). At 42 days after application, isoxaflutole alone controlled

Palmer amaranth 26% and the only tank mix partners to increase control compared to isoxaflutole alone were the high rate of fluometuron (61%), fomesafen (64%), and S- metolachlor (62%), and the low rate of diuron (64%).

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In 5 of 7 locations, Palmer amaranth was completely controlled at 14 days after application when isoxaflutole was mixed with the high rate of fluometuron, prometryn, or S-metolachlor. At 28 days after application, Palmer amaranth was controlled ≥95% at 6 of 7 locations with the addition of the high rate of diuron or fluridone. The addition of the high rate of diuron or fluridone provided the greatest control 42 days after application at 4 of 7 locations. While isoxaflutole alone is active on Palmer amaranth, control increased when tank mixing isoxaflutole with another soil-residual herbicide. These results are similar to those reported by Stephenson and

Bond (2012) where isoxaflutole alone controlled Palmer amaranth 83% at the end of the season and tank mixing isoxaflutole with thiencarbazone-methyl and/or atrazine increased Palmer amaranth control 1 to 9%.

Other Target Species

While the target weed in this study was Palmer amaranth, other weed species present at some locations across the cotton belt included large crabgrass (Digitaria sanguinalis L.) and morningglory. Control was rated where populations were present to gain a better understanding of isoxaflutole activity on weed species other than

Palmer amaranth.

Large crabgrass

At Marianna, AR, large crabgrass was present in 2019. At 14 days after application, all treatments completely controlled large crabgrass except isoxaflutole plus the low rate of diuron (98%), fomesafen (99%), or pyrithiobac (99%) (Table

4.11). At 28 days after application, isoxaflutole plus fluometuron, fluridone, or S-

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Texas Tech University, Delaney Caitlin Foster, May 2021 metolachlor, isoxaflutole plus the low rate of diuron, or isoxaflutole plus the high rate of pendimethalin and acetochlor controlled large crabgrass >90%. At 28 days after application, large crabgrass density in the nontreated control was 958,000 plants ha-1.

All treatments decreased large crabgrass density except for isoxaflutole plus the low rate of diuron, pendimethalin, or acetochlor, and the high rate of pyrithiobac, where densities ranged from 357,000 to 420,000 plants ha-1. At 42 days after application, isoxaflutole alone controlled large crabgrass 75% and control improved following isoxaflutole plus fluometuron or fluridone, isoxaflutole plus the high rate of prometryn, S-metolachlor or pendimethalin, and isoxaflutole plus the low rate of diuron (>85%).

At Ideal, GA, large crabgrass control and density were evaluated in 2019 and

2020. At 14 days after application, all treatments controlled large crabgrass ≥91%

(Table 4.12). At 28 days after application, isoxaflutole plus the high rate of prometryn

(94%), diuron (96%), fomesafen (91%), pendimethalin (94%), S-metolachlor (97%), acetochlor (92%), and both rates of fluridone (91-95%) improved large crabgrass control compared to isoxaflutole alone (77%). Large crabgrass density in the nontreated control was 415,000 plants ha-1 and all treatments lowered large crabgrass density to 3-31% of control levels. All tank mix partners controlled large crabgrass

≥90% 42 days after application except the low rate of prometryn (86%), fomesafen

(86%), or S-metolachlor (84%), and both rates of pyrithiobac (82%) or fluometuron

(82 and 88%).

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At Bixby, OK, large crabgrass control was evaluated in 2019 and 2020.

Density was not measured at this site. At 14 days after application, all treatments controlled large crabgrass ≥95% (Table 4.13). At 28 days after application, all treatments controlled large crabgrass ≥90% except isoxaflutole plus fomesafen (84-

88%) or pyrithiobac (79%), and isoxaflutole plus the low rate of acetochlor (89%). By

42 days after application, only isoxaflutole plus the high rate of prometryn, diuron, or

S-metolachlor controlled large crabgrass >80%.

At all three locations where large crabgrass was present, isoxaflutole plus the high rate of diuron provided the greatest level of control 14 days after application. At

28 days after application, isoxaflutole plus the high rate of diuron, fluridone, pendimethalin, or S-metolachlor and isoxaflutole plus the low rate of fluometuron controlled large crabgrass ≥95% in 2 of 3 locations. In 2 of 3 locations, isoxaflutole plus the high rate of pendimethalin or S-metolachlor improved large crabgrass control at 42 days after application when compared to isoxaflutole alone. Brown and

Masiunas (2002) also observed that large crabgrass was controlled 95% following isoxaflutole 21 days after application. Combinations of isoxaflutole plus metribuzin controlled large crabgrass 97 to 100% in studies conducted by Smith et al. (2019).

Morningglory

At Marianna, AR, morningglory control and density were recorded in 2020. At

14 days after application, all treatments controlled morningglory ≥90% (Table 4.14).

At 28 days after application, isoxaflutole alone controlled morningglory 50% and only the addition of the high rate of diuron (88%) or fluridone (85%) improved control.

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Morningglory density in the nontreated control was 40,000 plants ha-1 and only isoxaflutole tank mixed with diuron or the high rate of fluridone reduced morningglory density to <10,000 plants ha-1. At 42 days after application, no treatment controlled morningglory >50%.

At Bixby, OK, morningglory control was evaluated in 2019 and 2020. Density was not measured at this site. All treatments controlled morningglory ≥93% 14 days after application (Table 4.15). At 28 days after application, isoxaflutole alone controlled morningglory 76% and the addition of the high rate of prometryn or pyrithiobac or both rates of diuron increased morningglory control to ≥90%. By 42 days after application, the addition of the high rate of prometryn (88%) or both rates of diuron (83-89%) increased morningglory control compared to isoxaflutole alone

(66%).

At College Station, TX, morningglory control was evaluated in 2019 and 2020 and densities were recorded in 2020. At 14 days after application, isoxaflutole plus the high rate of prometryn, S-metolachlor, fluridone, pyrithiobac, or both rates of diuron controlled morningglory ≥90% (Table 4.16). Isoxaflutole plus the high rate of fluridone controlled morningglory >90% 28 days after application. In 2019, morningglory densities ranged from 5,000-100,000 plants ha-1 and the nontreated control had 65,000 plants ha-1 28 days after application. Isoxaflutole plus the high rate of fluridone reduced morningglory density 92% compared to the nontreated control.

By 42 days after application, morningglory control ranged from 45 to 94% and only isoxaflutole plus the high rate of fluridone controlled morningglory >90%.

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At Jackson, TN, morningglory control and density was recorded in 2020. At 21 days after application, isoxaflutole plus the high rate of fluometuron, prometryn, diuron, and isoxaflutole plus the low rate of pendimethalin or pyrithiobac controlled morningglory >95% (Table 4.17). Morningglory density was 54,000 plants ha-1 in the nontreated control at 28 days after application. The addition of the high rate of pendimethalin or low rate of pyrithiobac decreased morningglory density >50%. At 35 days after application, isoxaflutole plus the high rate of pendimethalin controlled morningglory >80%.

At 14 and 21 days after application, morningglory control was ≥95% at all locations following isoxaflutole plus of the high rate of diuron and at 3 of 4 locations following isoxaflutole plus the high rate of fluometuron. At all locations, the high rate of diuron and at 3 of 4 locations the high rate of fluridone and pendimethalin improved morningglory control at 28 and 35 days after application when compared to isoxaflutole alone. At 42 days after application, isoxaflutole plus diuron or fluridone and isoxaflutole plus the high rate of fluometuron improved morningglory control compared to isoxaflutole alone at all locations. In a study evaluating isoxaflutole- based systems in corn, Stephenson and Bond (2012) found that using isoxaflutole alone controlled morningglory 87% 56 days after application and the addition of atrazine as a tank mix partner increased control to 90%.

General weed control

Overall weed control was evaluated in Stillwater, OK and San Angelo, TX but was not separated by species. At Stillwater, OK, weed control was evaluated in 2019

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Texas Tech University, Delaney Caitlin Foster, May 2021 and 2020 and weed species present were a mix of large crabgrass, yellow nutsedge

(Cyperus esculentus L.), red sprangletop (Leptochloa mucronate), tumble pigweed

(Amaranthus albus L.), carpetweed (Mollugo verticillata L.), and puncturevine

(Tribulus terrestris L.). At 14 days after application, isoxaflutole controlled weeds

69% (Table 4.18). The addition of any tank mix partner increased control, but only the addition of the low rate of fluometuron or fomesafen and the high rate of prometryn or

S-metolachlor controlled this complex of weeds >95%. At 28 days after application, the addition of S-metolachlor (99%) or the low rate of fomesafen (98%) improved control compared to isoxaflutole alone (77%). By 42 days after application, all treatments increased control (84 to 98%) compared to isoxaflutole alone (60%). Weed density in the nontreated control was >250,000 plants ha-1 28 days after application while weed density was <13,000 plants ha-1 following isoxaflutole alone. All tank mix partners decreased densities 55-99% when compared to using isoxaflutole alone.

At San Angelo, TX, weed control was evaluated in 2019 and 2020 and weed species present were Palmer amaranth and Texas millet (Urochloa texana Buckl. R.

Webster). At 14 days after application, all treatments provided complete weed control

(Table 4.19). At 28 and 42 days after application, all treatments controlled weeds

≥97%. Because weed control was excellent for most early ratings, weed control evaluations were extended to 75 days after application both years. At 75 days after application, isoxaflutole alone controlled weeds 56%, isoxaflutole plus the high rate of

S-metolachlor increased control to 98%, and all other tank mix partners provided 68-

86% control. Palmer amaranth was present in the nontreated control and isoxaflutole

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Texas Tech University, Delaney Caitlin Foster, May 2021 plus the high rate of pendimethalin, acetochlor, or pyrithiobac had a density of 108 plants ha-1. Texas millet was the main weed species present and a density of >125,000 plants ha-1 was recorded in the nontreated control. All treatments lowered Texas millet density to 0-4,310 plants ha-1.

At all evaluations at both Stillwater, OK and San Angelo, TX locations, the addition of any tank mix partner improved weed control when compared to isoxaflutole alone. Fourteen days after application, isoxaflutole plus the high rate of S- metolachlor or prometryn and isoxaflutole plus the low rate of fluometuron or fomesafen controlled weeds >95% at both locations. The addition of S-metolachlor, the high rate of prometryn, or the low rate of fomesafen controlled weeds >95% at both locations 28 days after application. At both locations, control remained >90% when tank mixing isoxaflutole with S-metolachlor or fomesafen, the high rate of prometryn, or the low rate of fluridone 42 days after application. Schultz et al. (2015) reported similar results where an overall weed biomass reduction of 97-100% in soybean systems was observed following isoxaflutole PRE at 0.11 kg ai ha-1.

Summary

Herbicides that consistently performed well with isoxaflutole across multiple locations and weed species were diuron, fluridone, and S-metolachlor. For broadleaf weed species, diuron and fluridone were most effective when tank mixed with isoxaflutole while tank mixing isoxaflutole with pendimethalin or S-metolachlor was most effective on grass species. Fluridone is an HRAC Group F1 herbicide and shares the same mode of action as isoxaflutole, although binding to a different enzyme

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(phytoene desaturase); therefore, tank mixing with this active ingredient would be considered similar to other herbicide modes of action and would help slow the development of weed resistance to HPPD-inhibiting herbicides. Diuron and S- metolachlor contain different modes of action than isoxaflutole and tank mixing with these two herbicides could help slow the spread of resistant weeds. Overall, weed control decreased more rapidly in environments that received higher amounts of annual rainfall. Tank mix partner recommendations will likely depend on a number of factors including environment, soil type, target weed species, and rotational crops. The opportunity to use isoxaflutole in cotton weed management systems will not only improve season-long control of a number of troublesome weeds but also will add a novel site of action for cotton growers, diversifying weed control programs.

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Literature Cited

Abendroth JA, Martin AR, Roeth FW (2006) Plant response to combinations of mesotrione and photosystem II inhibitors. Weed Technol 20:267-274

Anderson M, Hartzler B (2016) Herbcide program development: using multiple sites of action Integrated Crop Management. Integrated Crop Management Blog: Iowa State University Extension and Outreach. 1 p

Beaudegnies R, Edmunds AJF, Fraser TEM, Hall RG, Hawkes TR, Mitchell G, Schaetzer J, Wendeborn S, Wibley J (2009) Herbicidal 4-hydroxyphenylpyruvate dioxygenase inhibitors—a review of the triketone chemistry story from a syngenta perspective. Bioorg Med Chem 17:4134-4152

Blouin DC, Webster EP, Bond JA (2011) On the analysis of combined experiments. Weed Technol 25:165-169

Brown D, Masiunas J (2002) Evaluation of herbicides for pumpkin (Cucurbita spp.). Weed Technol 16:282-292

Buchanan GA, Burns ER (1970) Influence of weed competition on cotton. Weed Sci 18:149-154

Carmer SG, Nyquist WE, Walker WM (1989) Least significant differences for combined analyses of experiments with two- or three- factor treatment designs. Agron J 81:665-672

Diggle AJ, Neve PB, Smith FP (2003) Herbicides used in combination can reducethe probability of herbicide resistancein finite weed populations. Weed Res 43:371- 382

Duke SO (2011) Why have no new herbicide modes of action appeared in recent years? Pest Manage Sci 68:505-512

Environmental Protection Agency (1998) Pesticide Fact Sheet: Isoxaflutole: Environmental Protection Agency. 15 p

Faircloth WH, Patterson MG, Monks CD, Goodman WR (2001) Weed management programs for glyphosate-tolerant cotton (Gossypium hirsutum). Weed Technol 15:544-551

Frans R E, Talbert R, Marx D, Crowley H (1986) Experimental design and techniques for measuring and analyzing plant response to weed control practices. Pages 29-46 in Camper ND, ed. Research Methods in Weed Science. Champaign: Southern Weed Science Society

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Texas Tech University, Delaney Caitlin Foster, May 2021

Heap I (2020) The International Survey of Herbicide Resistant Weeds. Accessed December 7, 2020.

Herbicide Resistance Action Committee (2020) HRAC Mode of Action Classification 2020. Accessed December 30, 2020.

Johnson WG, Chahal GS, Regehr DL (2012) Efficacy of various corn herbicides applied preplant incorporated and preemergence. Weed Technol 26:220-229

Lee DL, Prisbylla MP, Cromartie TH, Dagarin DP, SWHoward, Provan W, Ellis MK, Fraser T, Mutter LC (1997) The discovery and structural requirements of inhibitors of p-hydroxyphenylpyruvate dioxygenase. Weed Technol 45:601-609

Meyer CJ, Norsworthy JK, Young BG, Steckel LE, Bradley KW, Johnson WG, Loux MM, Davis VM, Kruger GR, Bararpour MT, Ikley JT, Spaunhorst DJ, Butts TR (2016) Early-season Palmer amaranth and waterhemp control from preemergence programs utilizing 4-hydroxyphenylpyruvate dioxygenase–inhibiting and auxinic herbicides in soybean. Weed Technol 30:67-75

Mitchell G, Bartlett DW, Fraser TEM, Hawkes TR, Holt DC, Townson JK, Wichert RA (2001) Mesotrione: a new selective herbicide for use in maize. Pest Manage Sci 57:120-128

Moore KJ, Dixon PM (2014) Analysis of combined experiments revisited. Agron J 107:763-771

Schultz JL, Weber M, Allen J, Bradley KW (2015) Evaluation of weed management programs and response of FG72 soybean to HPPD-inhibiting herbicides. Weed Technol 29:653-664

Smith A, Soltani N, Kaastra AJ, Hooker DC, Robinson DE, Sikkema PH (2019) Annual weed management in isoxaflutole-resistant soybean using a two-pass weed control strategy. Weed Technol 33:411-425

Steckel LE, Gwathmey CO (2009) Glyphosate-resistant horseweed (Conyza canadensis) growth, seed production, and interference in cotton. Weed Sci 57:346-350

Stephenson DO, Bond JA (2012) Evaluation of thiencarbazone-methyl and isoxaflutole- based herbicide programs in corn. Weed Technol 26:37-42

Van Wychen L (2019) 2019 Survey of the most common and troublesome weeds in broadleaf crops, fruits, and vegetables in the United States and Canada. Accessed March 19, 2020.

Woodyard AJ, Bollero GA, Riechers DE (2009) Broadleaf weed management in corn utilizing synergistic postemergence herbicide combinations. Weed Technol 23:513-518

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Young BG (2006) Changes in herbicide use patterns and production practices resulting from glyphosate-resistant crops. Weed Technol 20:301-307

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Table 4.1. Locations of isoxaflutole tank-mix partner field experiments in 2019 and 2020. Location Year Longitude Latitude Altitude Soil Type pH Organic Application Matter Date °N °W m % Halfway, TX 2019 34.1861009 101.9460551 1,072 Pullman clay loam 8.4 <1 May 14 Halfway, TX 2020 34.1861009 101.9460551 1,072 Pullman clay loam 8.4 <1 May 18 College Station, TX 2019 30.5091994 96.4212093 67 Belk clay 8.4 1.25 May 29 College Station, TX 2020 30.5074 96.4185 67 Weswood silty clay loam 8.1 2 May 6 Carlsbad, TX 2019 31.605664 101.651133 609 Rioconcho clay loam 8.2 1.5 May 30 San Angelo, TX 2020 31.5497 100.5073 600 Angelo clay loam 7.8 1.6 July 9 Bixby, OK 2019 35.9652896 95.8632737 185 Radley silt loam 6.4 0.6 June 12 Bixby, OK 2020 35.9652896 95.8632737 185 Radley silt loam 6.4 0.6 June 2 Stillwater, OK 2019 36.130614 97.106572 272 Norge loam 6.5 1.6 June 10 Stillwater, OK 2020 36.130614 97.106572 272 Norge loam 6.5 1.6 June 11 Marianna, AR 2019 34.726739 90.735393 67 Convent silt loam 7.0 1.0 May 15 Marianna, AR 2020 34.726739 90.735393 67 Convent silt loam 7.0 1.0 May 12 Dundee, MS 2019 34.32962 90.282511 56 Sharky clay 7.0 2.5 June 3 Dundee, MS 2020 34.32962 90.282511 56 Sharky clay 7.0 2.5 May 20 Jackson, TN 2019 35.630803 88.855149 112 Lexington silt loam 6.4 2 May 2 Jackson, TN 2020 35.631734 88.856941 112 Lexington silt loam 6.4 2 May 14 Ideal, GA 2019 32.423478 84.128571 135 Dothan loamy sand 6.3 1.9 April 23 Ideal, GA 2020 32.423478 84.128571 135 Dothan loamy sand 6.3 1.9 May 5 Attapulgus, GA 2019 30.764509 84.479890 77 Faceville sandy loam 6.2 1.1 May 15

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Table 4.2. Spray application details for field experiments in 2019 and 2020.a Location Year Volume Spray Tips Pressure Speed Plot size Activation Rainfall/ Irrigation L ha-1 kPa KPH m2 DAA mm Halfway, TX 2019 140 XR 11002 221 4.8 37 1 19 Halfway, TX 2020 140 XR 11002 207 4.8 37 1 19 College Station, TX 2019 140 TTI 110015 317 4.8 19 2 22 College Station, TX 2020 140 DG 11003 248 4.8 19 6 41 Carlsbad, TX 2019 140 TT 8002 207 5.5 9.3 0 7 San Angelo, TX 2020 140 TT 8002 207 5.5 9.3 13 8 Bixby, OK 2019 112 TTI 110015 241 4.8 23 4 6 Bixby, OK 2020 112 TTI 110015 241 4.8 23 6 13 Stillwater, OK 2019 140 XR 8002 138 4.8 20 5 11 Stillwater, OK 2020 140 XR 8002 138 4.8 20 8 53 Marianna, AR 2019 140 XR 110015 276 4.8 12 3 6 Marianna, AR 2020 140 XR 110015 276 4.8 12 5 8 Dundee, MS 2019 140 XR 110015 331 4.8 18 3 30 Dundee, MS 2020 140 XR 110012 331 4.8 47 6 38 Jackson, TN 2019 140 XR 11003 207 4.8 18 1 9 Jackson, TN 2020 140 XR 11003 193 4.8 28 4 28 Ideal, GA 2019 140 TTI 110015 276 4.8 17 2 13 Ideal, GA 2020 140 TTI 110015 276 4.8 17 4 13 Attapulgus, GA 2019 140 TTI 110015 276 4.8 17 1 13 aAbbreviations: DAA, days after application; XR, extended-range; TTI, Turbo TeeJet Induction; TT, Turbo TeeJet.

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Table 4.3. Preemergence treatments and herbicide rates used in weed control experiments across the cotton belt in 2019 and 2020. Treatment Rate kg ai ha-1 Nontreated control -- Isoxaflutole 0.11 Isoxaflutole + fluometuron 0.11 + 1.12 Isoxaflutole + fluometuron 0.11 + 0.56 Isoxaflutole + prometryn 0.11 + 1.35 Isoxaflutole + prometryn 0.11 + 0.67 Isoxaflutole + diuron 0.11 + 1.12 Isoxaflutole + diuron 0.11 + 0.56 Isoxaflutole + fluridone 0.11 + 0.17 Isoxaflutole + fluridone 0.11 + 0.08 Isoxaflutole + fomesafen 0.11 + 0.28 Isoxaflutole + fomesafen 0.11 + 0.14 Isoxaflutole + pendimethalin 0.11 + 1.12 Isoxaflutole + pendimethalin 0.11 + 0.56 Isoxaflutole + S-metolachlor 0.11 + 1.4 Isoxaflutole + S-metolachlor 0.11 + 0.7 Isoxaflutole + acetochlor 0.11 + 1.26 Isoxaflutole + acetochlor 0.11 + 0.63 Isoxaflutole + pyrithiobac 0.11 + 0.058 Isoxaflutole + pyrithiobac 0.11 + 0.029

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Table 4.4. Palmer amaranth control and density in Halfway, TX in 2019 and 2020.a Palmer amaranth control Palmer amaranth density Treatment Rate 14 DAAb 28 DAA 42 DAA 35 DAA kg ai ha-1 ------%------plants ha-1------Nontreated control -- 31673 a Isoxaflutole 0.11 99 b 99 93 1344 b Isoxaflutole + fluometuron 0.11 + 1.12 100 a 99 96 403 b Isoxaflutole + fluometuron 0.11 + 0.56 100 a 100 96 67 b Isoxaflutole + prometryn 0.11 + 1.35 100 a 98 93 537 b Isoxaflutole + prometryn 0.11 + 0.67 100 a 97 92 874 b Isoxaflutole + diuron 0.11 + 1.12 100 a 99 96 201 b Isoxaflutole + diuron 0.11 + 0.56 100 a 100 96 134 b Isoxaflutole + fluridone 0.11 + 0.17 100 a 98 96 739 b Isoxaflutole + fluridone 0.11 + 0.08 100 a 99 94 268 b Isoxaflutole + fomesafen 0.11 + 0.28 100 a 99 98 336 b Isoxaflutole + fomesafen 0.11 + 0.14 100 a 100 98 134 b Isoxaflutole + pendimethalin 0.11 + 1.12 100 a 98 94 672 b Isoxaflutole + pendimethalin 0.11 + 0.56 100 a 100 94 134 b Isoxaflutole + S-metolachlor 0.11 + 1.4 100 a 100 99 0 b Isoxaflutole + S-metolachlor 0.11 + 0.7 100 a 100 97 67 b Isoxaflutole + acetochlor 0.11 + 1.26 100 a 100 98 134 b Isoxaflutole + acetochlor 0.11 + 0.63 100 a 100 97 201 b Isoxaflutole + pyrithiobac 0.11 + 0.058 99.5 ab 100 98 67 b Isoxaflutole + pyrithiobac 0.11 + 0.029 100 a 99 99 403 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.5. Palmer amaranth control and density in Marianna, AR in 2019 and 2020.a Palmer amaranth control Palmer amaranth density 14 DAAb 28 DAA 42 DAA 28 DAA Treatment Rate 2019/2020 2019 kg ai ha-1 ------%------1,000 plants ha-1----- Nontreated control -- 52 a Isoxaflutole 0.11 100 98 91 ab 0 b Isoxaflutole + fluometuron 0.11 + 1.12 100 99 94 ab 0 b Isoxaflutole + fluometuron 0.11 + 0.56 100 99 95 ab 0 b Isoxaflutole + prometryn 0.11 + 1.35 100 98 94 ab 9 ab Isoxaflutole + prometryn 0.11 + 0.67 100 98 92 ab 0 b Isoxaflutole + diuron 0.11 + 1.12 99 97 91 ab 7 ab Isoxaflutole + diuron 0.11 + 0.56 98 98 91 ab 12 ab Isoxaflutole + fluridone 0.11 + 0.17 100 99 97 a 0 b Isoxaflutole + fluridone 0.11 + 0.08 100 97 91 ab 2 ab Isoxaflutole + fomesafen 0.11 + 0.28 100 99 96 ab 12 ab Isoxaflutole + fomesafen 0.11 + 0.14 99 99 93 ab 0 b Isoxaflutole + pendimethalin 0.11 + 1.12 100 98 94 ab 0 b Isoxaflutole + pendimethalin 0.11 + 0.56 100 98 89 ab 0 b Isoxaflutole + S-metolachlor 0.11 + 1.4 100 95 91 ab 14 ab Isoxaflutole + S-metolachlor 0.11 + 0.7 100 99 93 ab 0 b Isoxaflutole + acetochlor 0.11 + 1.26 100 99 89 ab 4 b Isoxaflutole + acetochlor 0.11 + 0.63 99 97 94 ab 19 ab Isoxaflutole + pyrithiobac 0.11 + 0.058 100 97 91 ab 9 ab Isoxaflutole + pyrithiobac 0.11 + 0.029 99 94 85 b 0 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.6. Palmer amaranth control in Bixby, OK in 2019 and 2020.a Palmer amaranth control Treatment Rate 14 DAAb 28 DAA 42 DAA kg ai ha-1 ------%------Nontreated control -- Isoxaflutole 0.11 98 b 82 c 31 f Isoxaflutole + fluometuron 0.11 + 1.12 100 a 95 ab 64 a-d Isoxaflutole + fluometuron 0.11 + 0.56 99 ab 95 ab 48 c-f Isoxaflutole + prometryn 0.11 + 1.35 100 a 99 a 80 a Isoxaflutole + prometryn 0.11 + 0.67 99 ab 95 ab 52 b-f Isoxaflutole + diuron 0.11 + 1.12 99 ab 99 a 79 ab Isoxaflutole + diuron 0.11 + 0.56 99 ab 97 a 70 a-d Isoxaflutole + fluridone 0.11 + 0.17 99 ab 98 a 71 a-d Isoxaflutole + fluridone 0.11 + 0.08 99 ab 96 ab 61 a-e Isoxaflutole + fomesafen 0.11 + 0.28 99 ab 97 a 74 abc Isoxaflutole + fomesafen 0.11 + 0.14 99 ab 94 ab 66 a-d Isoxaflutole + pendimethalin 0.11 + 1.12 99 ab 94 ab 55 a-f Isoxaflutole + pendimethalin 0.11 + 0.56 99 ab 84 c 33 f Isoxaflutole + S-metolachlor 0.11 + 1.4 100 a 99 a 71 a-d Isoxaflutole + S-metolachlor 0.11 + 0.7 100 a 96 ab 66 a-d Isoxaflutole + acetochlor 0.11 + 1.26 99 ab 99 a 75 abc Isoxaflutole + acetochlor 0.11 + 0.63 99 ab 95 ab 70 a-d Isoxaflutole + pyrithiobac 0.11 + 0.058 99 ab 87 bc 45 def Isoxaflutole + pyrithiobac 0.11 + 0.029 99 ab 83 c 35 ef aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.7. Palmer amaranth control and density in College Station, TX in 2019 and 2020.a Palmer amaranth control Palmer amaranth density Treatment Rate 14 DAAb 28 DAA 42 DAA 28 DAA kg ai ha-1 ------%------100 plants ha-1------Nontreated control -- 3469 a Isoxaflutole 0.11 100 82 b 79 bc 246 b Isoxaflutole + fluometuron 0.11 + 1.12 100 96 ab 82 abc 279 b Isoxaflutole + fluometuron 0.11 + 0.56 100 100 a 96 ab 122 b Isoxaflutole + prometryn 0.11 + 1.35 100 100 a 97 ab 0 b Isoxaflutole + prometryn 0.11 + 0.67 100 96 ab 88 abc 21 b Isoxaflutole + diuron 0.11 + 1.12 100 99 ab 98 a 124 b Isoxaflutole + diuron 0.11 + 0.56 100 99 ab 98 a 0 b Isoxaflutole + fluridone 0.11 + 0.17 100 100 a 100 a 0 b Isoxaflutole + fluridone 0.11 + 0.08 100 99 ab 96 ab 8 b Isoxaflutole + fomesafen 0.11 + 0.28 99 99 ab 94 ab 41 b Isoxaflutole + fomesafen 0.11 + 0.14 98 88 ab 75 c 531 b Isoxaflutole + pendimethalin 0.11 + 1.12 100 98 ab 89 abc 88 b Isoxaflutole + pendimethalin 0.11 + 0.56 97 100 a 93 abc 37 b Isoxaflutole + S-metolachlor 0.11 + 1.4 100 99 ab 99 a 37 b Isoxaflutole + S-metolachlor 0.11 + 0.7 98 99 ab 94 ab 0 b Isoxaflutole + acetochlor 0.11 + 1.26 99 99 ab 96 ab 8 b Isoxaflutole + acetochlor 0.11 + 0.63 93 100 a 97 ab 8 b Isoxaflutole + pyrithiobac 0.11 + 0.058 100 99 ab 84 abc 303 b Isoxaflutole + pyrithiobac 0.11 + 0.029 100 99 ab 89 abc 0 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.8. Palmer amaranth control and density in Ideal, GA in 2019 and 2020.a Palmer amaranth control Palmer amaranth density 14 DAAb 28 DAA 42 DAA 28 DAA Treatment Rate 2019/2020 2019 2019/2020 kg ai ha-1 ------%------1,000 plants ha-1----- Nontreated control -- 928 a Isoxaflutole 0.11 99 61 f 64 f 311 b Isoxaflutole + fluometuron 0.11 + 1.12 100 83 a-e 80 b-e 113 cde Isoxaflutole + fluometuron 0.11 + 0.56 100 72 def 67 ef 228 bcd Isoxaflutole + prometryn 0.11 + 1.35 100 79 a-f 87 abc 127 cde Isoxaflutole + prometryn 0.11 + 0.67 100 67 ef 74 c-f 242 bc Isoxaflutole + diuron 0.11 + 1.12 100 95 ab 99 a 2 e Isoxaflutole + diuron 0.11 + 0.56 99 90 a-d 91 ab 48 de Isoxaflutole + fluridone 0.11 + 0.17 100 96 a 98 a 6 e Isoxaflutole + fluridone 0.11 + 0.08 99 92 abc 92 ab 9 e Isoxaflutole + fomesafen 0.11 + 0.28 100 97 a 96 a 6 e Isoxaflutole + fomesafen 0.11 + 0.14 99 90 a-d 79 b-f 66 cde Isoxaflutole + pendimethalin 0.11 + 1.12 100 90 a-d 92 ab 33 e Isoxaflutole + pendimethalin 0.11 + 0.56 99 75 b-f 80 b-e 146 b-e Isoxaflutole + S-metolachlor 0.11 + 1.4 100 93 ab 96 a 11 e Isoxaflutole + S-metolachlor 0.11 + 0.7 100 87 a-e 86 a-d 60 cde Isoxaflutole + acetochlor 0.11 + 1.26 99 95 ab 97 a 11 e Isoxaflutole + acetochlor 0.11 + 0.63 100 91 a-d 96 a 18 e Isoxaflutole + pyrithiobac 0.11 + 0.058 100 73 c-f 75 c-f 169 b-e Isoxaflutole + pyrithiobac 0.11 + 0.029 99 73 c-f 71 def 178 b-e aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.9. Palmer amaranth control and density in Jackson, TN in 2019 and 2020.a Palmer amaranth control Palmer amaranth density Treatment Rate 14 DAAb 28 DAA 42 DAA 28 DAA kg ai ha-1 ------%------1,000 plants ha-1----- Nontreated control -- 268 Isoxaflutole 0.11 96 76 25 ab 504 Isoxaflutole + fluometuron 0.11 + 1.12 96 81 30 ab 732 Isoxaflutole + fluometuron 0.11 + 0.56 97 83 28 ab 585 Isoxaflutole + prometryn 0.11 + 1.35 97 79 21 b 457 Isoxaflutole + prometryn 0.11 + 0.67 97 80 24 ab 416 Isoxaflutole + diuron 0.11 + 1.12 98 87 43 ab 195 Isoxaflutole + diuron 0.11 + 0.56 98 86 30 ab 248 Isoxaflutole + fluridone 0.11 + 0.17 99 87 50 ab 87 Isoxaflutole + fluridone 0.11 + 0.08 98 75 28 ab 275 Isoxaflutole + fomesafen 0.11 + 0.28 99 93 57 a 40 Isoxaflutole + fomesafen 0.11 + 0.14 98 87 36 ab 262 Isoxaflutole + pendimethalin 0.11 + 1.12 99 88 36 ab 161 Isoxaflutole + pendimethalin 0.11 + 0.56 98 80 33 ab 289 Isoxaflutole + S-metolachlor 0.11 + 1.4 98 81 33 ab 490 Isoxaflutole + S-metolachlor 0.11 + 0.7 96 84 35 ab 504 Isoxaflutole + acetochlor 0.11 + 1.26 99 92 43 ab 161 Isoxaflutole + acetochlor 0.11 + 0.63 99 89 45 ab 40 Isoxaflutole + pyrithiobac 0.11 + 0.058 96 82 33 ab 531 Isoxaflutole + pyrithiobac 0.11 + 0.029 97 80 34 ab 363 aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.10. Palmer amaranth control and density in Dundee, MS in 2019 and 2020.a Palmer amaranth control Palmer amaranth density Treatment Rate 14 DAAb 28 DAA 42 DAA 28 DAA kg ai ha-1 ------%------10,000 plants ha-1---- Nontreated control -- 137 a Isoxaflutole 0.11 88 73 26 b 86 ab Isoxaflutole + fluometuron 0.11 + 1.12 99 92 61 a 19 b Isoxaflutole + fluometuron 0.11 + 0.56 99 92 44 ab 66 ab Isoxaflutole + prometryn 0.11 + 1.35 99 91 37 ab 26 b Isoxaflutole + prometryn 0.11 + 0.67 98 87 49 ab 34 b Isoxaflutole + diuron 0.11 + 1.12 98 95 53 ab 24 b Isoxaflutole + diuron 0.11 + 0.56 98 91 64 a 24 b Isoxaflutole + fluridone 0.11 + 0.17 98 95 56 ab 18 b Isoxaflutole + fluridone 0.11 + 0.08 99 90 49 ab 31 b Isoxaflutole + fomesafen 0.11 + 0.28 99 89 64 a 24 b Isoxaflutole + fomesafen 0.11 + 0.14 99 91 59 ab 24 b Isoxaflutole + pendimethalin 0.11 + 1.12 98 91 53 ab 36 b Isoxaflutole + pendimethalin 0.11 + 0.56 99 93 46 ab 21 b Isoxaflutole + S-metolachlor 0.11 + 1.4 99 91 62 a 23 b Isoxaflutole + S-metolachlor 0.11 + 0.7 99 90 45 ab 28 b Isoxaflutole + acetochlor 0.11 + 1.26 98 92 55 ab 26 b Isoxaflutole + acetochlor 0.11 + 0.63 98 89 44 ab 36 b Isoxaflutole + pyrithiobac 0.11 + 0.058 86 73 36 ab 58 ab Isoxaflutole + pyrithiobac 0.11 + 0.029 86 90 45 ab 26 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.11. Large crabgrass control and density in Marianna, AR in 2019.a Large crabgrass control Large crabgrass density Treatment Rate 14 DAAb 28 DAA 42 DAA 28 DAA kg ai ha-1 ------%------1,000 plants ha-1----- Nontreated control -- 958 a Isoxaflutole 0.11 100 81 ab 75 325 b Isoxaflutole + fluometuron 0.11 + 1.12 100 91 ab 86 35 b Isoxaflutole + fluometuron 0.11 + 0.56 100 96 a 87 26 b Isoxaflutole + prometryn 0.11 + 1.35 100 89 ab 85 50 b Isoxaflutole + prometryn 0.11 + 0.67 100 86 ab 83 40 b Isoxaflutole + diuron 0.11 + 1.12 100 88 ab 81 345 b Isoxaflutole + diuron 0.11 + 0.56 98 90 ab 86 360 ab Isoxaflutole + fluridone 0.11 + 0.17 100 93 ab 86 35 b Isoxaflutole + fluridone 0.11 + 0.08 100 90 ab 87 167 b Isoxaflutole + fomesafen 0.11 + 0.28 100 88 ab 84 82 b Isoxaflutole + fomesafen 0.11 + 0.14 99 83 ab 74 132 b Isoxaflutole + pendimethalin 0.11 + 1.12 100 95 a 91 147 b Isoxaflutole + pendimethalin 0.11 + 0.56 100 85 ab 77 357 ab Isoxaflutole + S-metolachlor 0.11 + 1.4 100 91 ab 86 142 b Isoxaflutole + S-metolachlor 0.11 + 0.7 100 93 ab 83 230 b Isoxaflutole + acetochlor 0.11 + 1.26 100 93 ab 81 257 b Isoxaflutole + acetochlor 0.11 + 0.63 100 84 ab 75 360 ab Isoxaflutole + pyrithiobac 0.11 + 0.058 100 78 b 71 420 ab Isoxaflutole + pyrithiobac 0.11 + 0.029 99 86 ab 75 220 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.12. Large crabgrass control and density in Ideal, GA in 2019 and 2020.a Large crabgrass control Large crabgrass density 14 DAAb 28 DAA 42 DAA 28 DAA Treatment Rate 2019/2020 2019 2019/2020 kg ai ha-1 ------%------1,000 plants ha-1----- Nontreated control -- 415 a Isoxaflutole 0.11 92 77 f 76 f 105 b-d Isoxaflutole + fluometuron 0.11 + 1.12 94 89 a-f 88 b-e 55 c-g Isoxaflutole + fluometuron 0.11 + 0.56 91 83 b-f 82 ef 106 bcd Isoxaflutole + prometryn 0.11 + 1.35 96 94 abc 94 a-d 24 fg Isoxaflutole + prometryn 0.11 + 0.67 92 85 a-f 86 c-f 74 b-g Isoxaflutole + diuron 0.11 + 1.12 97 96 a 96 abc 21 fg Isoxaflutole + diuron 0.11 + 0.56 94 90 a-f 91 a-e 41 d-g Isoxaflutole + fluridone 0.11 + 0.17 95 95 ab 97 ab 19 fg Isoxaflutole + fluridone 0.11 + 0.08 94 91 a-e 90 a-e 34 efg Isoxaflutole + fomesafen 0.11 + 0.28 96 91 a-e 96 abc 30 fg Isoxaflutole + fomesafen 0.11 + 0.14 92 78 ef 86 c-f 82 b-f Isoxaflutole + pendimethalin 0.11 + 1.12 97 94 abc 98 a 22 fg Isoxaflutole + pendimethalin 0.11 + 0.56 95 90 a-f 94 a-d 35 d-g Isoxaflutole + S-metolachlor 0.11 + 1.4 97 97 a 97 abc 10 g Isoxaflutole + S-metolachlor 0.11 + 0.7 94 82 c-f 84 def 53 d-g Isoxaflutole + acetochlor 0.11 + 1.26 96 92 a-d 95 abc 22 fg Isoxaflutole + acetochlor 0.11 + 0.63 95 87 a-f 93 a-d 42 d-g Isoxaflutole + pyrithiobac 0.11 + 0.058 93 78 ef 82 ef 126 b Isoxaflutole + pyrithiobac 0.11 + 0.029 95 79 def 82 ef 125 bc aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.13. Large crabgrass control in Bixby, OK in 2019 and 2020.a Large crabgrass control Treatment Rate 14 DAAb 28 DAA 42 DAA kg ai ha-1 ------%------Nontreated control -- Isoxaflutole 0.11 99 90 ab 55 cd Isoxaflutole + fluometuron 0.11 + 1.12 100 96 a 70 abc Isoxaflutole + fluometuron 0.11 + 0.56 100 97 a 65 a-d Isoxaflutole + prometryn 0.11 + 1.35 100 97 a 82 ab Isoxaflutole + prometryn 0.11 + 0.67 100 97 a 54 cd Isoxaflutole + diuron 0.11 + 1.12 100 98 a 83 ab Isoxaflutole + diuron 0.11 + 0.56 100 97 a 64 a-d Isoxaflutole + fluridone 0.11 + 0.17 100 97 a 68 a-d Isoxaflutole + fluridone 0.11 + 0.08 99 95 a 58 bcd Isoxaflutole + fomesafen 0.11 + 0.28 99 88 ab 53 cd Isoxaflutole + fomesafen 0.11 + 0.14 98 84 ab 52 cd Isoxaflutole + pendimethalin 0.11 + 1.12 98 95 a 65 a-d Isoxaflutole + pendimethalin 0.11 + 0.56 99 91 ab 55 cd Isoxaflutole + S-metolachlor 0.11 + 1.4 99 99 b 84 a Isoxaflutole + S-metolachlor 0.11 + 0.7 100 97 a 66 a-d Isoxaflutole + acetochlor 0.11 + 1.26 98 90 ab 59 a-d Isoxaflutole + acetochlor 0.11 + 0.63 97 89 ab 57 cd Isoxaflutole + pyrithiobac 0.11 + 0.058 95 79 b 61 a-d Isoxaflutole + pyrithiobac 0.11 + 0.029 95 79 b 45 d aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.14. Morningglory species control and density in Marianna, AR in 2020.a Morningglory control Morningglory density Treatment Rate 14 DAAb 28 DAA 42 DAA 28DAA kg ai ha-1 ------%------1,000 plants ha-1------Nontreated control -- 40 Isoxaflutole 0.11 91 50 b 18 30 Isoxaflutole + fluometuron 0.11 + 1.12 95 76 ab 26 53 Isoxaflutole + fluometuron 0.11 + 0.56 97 74 ab 35 23 Isoxaflutole + prometryn 0.11 + 1.35 93 75 ab 14 35 Isoxaflutole + prometryn 0.11 + 0.67 95 74 ab 23 30 Isoxaflutole + diuron 0.11 + 1.12 96 88 a 40 3 Isoxaflutole + diuron 0.11 + 0.56 94 81 ab 34 5 Isoxaflutole + fluridone 0.11 + 0.17 93 85 a 49 8 Isoxaflutole + fluridone 0.11 + 0.08 95 70 ab 19 23 Isoxaflutole + fomesafen 0.11 + 0.28 94 71 ab 31 20 Isoxaflutole + fomesafen 0.11 + 0.14 93 61 ab 14 20 Isoxaflutole + pendimethalin 0.11 + 1.12 94 66 ab 36 30 Isoxaflutole + pendimethalin 0.11 + 0.56 91 63 ab 14 58 Isoxaflutole + S-metolachlor 0.11 + 1.4 92 59 ab 6 48 Isoxaflutole + S-metolachlor 0.11 + 0.7 90 59 ab 13 38 Isoxaflutole + acetochlor 0.11 + 1.26 90 61 ab 5 50 Isoxaflutole + acetochlor 0.11 + 0.63 92 66 ab 11 68 Isoxaflutole + pyrithiobac 0.11 + 0.058 91 74 ab 11 23 Isoxaflutole + pyrithiobac 0.11 + 0.029 90 65 ab 8 35 aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.15. Morningglory species control in Bixby, OK in 2019 and 2020.a Morningglory control Treatment Rate 14 DAAb 28 DAA 42 DAA kg ai ha-1 ------%------Nontreated control -- Isoxaflutole 0.11 93 76 66 a-d Isoxaflutole + fluometuron 0.11 + 1.12 99 87 79 a-d Isoxaflutole + fluometuron 0.11 + 0.56 99 87 68 a-d Isoxaflutole + prometryn 0.11 + 1.35 100 90 88 ab Isoxaflutole + prometryn 0.11 + 0.67 99 89 80 a-d Isoxaflutole + diuron 0.11 + 1.12 99 94 89 a Isoxaflutole + diuron 0.11 + 0.56 99 91 83 abc Isoxaflutole + fluridone 0.11 + 0.17 99 84 80 a-d Isoxaflutole + fluridone 0.11 + 0.08 99 78 76 a-d Isoxaflutole + fomesafen 0.11 + 0.28 99 80 74 a-d Isoxaflutole + fomesafen 0.11 + 0.14 99 79 64 a-d Isoxaflutole + pendimethalin 0.11 + 1.12 99 83 73 a-d Isoxaflutole + pendimethalin 0.11 + 0.56 93 71 49 d Isoxaflutole + S-metolachlor 0.11 + 1.4 99 71 57 bcd Isoxaflutole + S-metolachlor 0.11 + 0.7 97 66 56 cd Isoxaflutole + acetochlor 0.11 + 1.26 99 83 68 a-d Isoxaflutole + acetochlor 0.11 + 0.63 98 76 67 a-d Isoxaflutole + pyrithiobac 0.11 + 0.058 100 95 75 a-d Isoxaflutole + pyrithiobac 0.11 + 0.029 100 80 61 a-d aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Table 4.16. Morningglory species control and density in College Station, TX in 2019 and 2020.a Morningglory control Morningglory density 14 DAAb 28 DAA 42 DAA 28 DAA Treatment Rate 2019/2020 2019 kg ai ha-1 ------%------1,000 plants ha-1------Nontreated control -- 65 Isoxaflutole 0.11 89 ab 80 ab 81 ab 39 Isoxaflutole + fluometuron 0.11 + 1.12 88 ab 80 ab 82 ab 38 Isoxaflutole + fluometuron 0.11 + 0.56 89 ab 80 ab 80 ab 47 Isoxaflutole + prometryn 0.11 + 1.35 96 a 73 ab 85 a 15 Isoxaflutole + prometryn 0.11 + 0.67 84 ab 78 ab 74 abc 39 Isoxaflutole + diuron 0.11 + 1.12 99 a 83 ab 89 a 17 Isoxaflutole + diuron 0.11 + 0.56 92 a 74 ab 84 a 42 Isoxaflutole + fluridone 0.11 + 0.17 99 a 94 a 94 a 5 Isoxaflutole + fluridone 0.11 + 0.08 89 ab 75 ab 83 a 55 Isoxaflutole + fomesafen 0.11 + 0.28 79 ab 58 ab 45 c 100 Isoxaflutole + fomesafen 0.11 + 0.14 78 ab 55 ab 53 bc 68 Isoxaflutole + pendimethalin 0.11 + 1.12 76 ab 62 ab 67 abc 65 Isoxaflutole + pendimethalin 0.11 + 0.56 89 ab 70 ab 80 ab 57 Isoxaflutole + S-metolachlor 0.11 + 1.4 91 ab 68 ab 81 ab 76 Isoxaflutole + S-metolachlor 0.11 + 0.7 82 ab 68 ab 78 ab 46 Isoxaflutole + acetochlor 0.11 + 1.26 68 b 54 b 68 abc 81 Isoxaflutole + acetochlor 0.11 + 0.63 83 ab 53 b 70 abc 81 Isoxaflutole + pyrithiobac 0.11 + 0.058 90 ab 63 ab 83 a 93 Isoxaflutole + pyrithiobac 0.11 + 0.029 84 ab 66 ab 77 ab 48 aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Texas Tech University, Delaney Caitlin Foster, May 2021

Table 4.17. Morningglory species control and density in Jackson, TN in 2020.a Morningglory control Morningglory density Treatment Rate 21 DAAb 35 DAA 28 DAA kg ai ha-1 ------%------1,000 plants ha-1------Nontreated control -- 54 Isoxaflutole 0.11 89 77 40 Isoxaflutole + fluometuron 0.11 + 1.12 99 72 175 Isoxaflutole + fluometuron 0.11 + 0.56 92 63 148 Isoxaflutole + prometryn 0.11 + 1.35 96 64 108 Isoxaflutole + prometryn 0.11 + 0.67 89 68 121 Isoxaflutole + diuron 0.11 + 1.12 99 79 81 Isoxaflutole + diuron 0.11 + 0.56 89 65 202 Isoxaflutole + fluridone 0.11 + 0.17 94 62 202 Isoxaflutole + fluridone 0.11 + 0.08 80 71 81 Isoxaflutole + fomesafen 0.11 + 0.28 87 71 108 Isoxaflutole + fomesafen 0.11 + 0.14 93 69 94 Isoxaflutole + pendimethalin 0.11 + 1.12 89 84 13 Isoxaflutole + pendimethalin 0.11 + 0.56 99 73 81 Isoxaflutole + S-metolachlor 0.11 + 1.4 93 67 81 Isoxaflutole + S-metolachlor 0.11 + 0.7 84 63 40 Isoxaflutole + acetochlor 0.11 + 1.26 81 66 67 Isoxaflutole + acetochlor 0.11 + 0.63 80 60 108 Isoxaflutole + pyrithiobac 0.11 + 0.058 86 68 81 Isoxaflutole + pyrithiobac 0.11 + 0.029 99 73 27 aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Texas Tech University, Delaney Caitlin Foster, May 2021

Table 4.18. Weed control and density in Stillwater, OK in 2019 and 2020.a Weed control Weed densityb Treatment Rate 14 DAAc 28 DAA 42 DAA 28 DAA kg ai ha-1 ------%------plants ha-1 Nontreated control -- 258,573 a Isoxaflutole 0.11 69 77 b 60 b 12,859 b Isoxaflutole + fluometuron 0.11 + 1.12 88 95 ab 85 a 1 b Isoxaflutole + fluometuron 0.11 + 0.56 98 93 ab 90 a 1,430 b Isoxaflutole + prometryn 0.11 + 1.35 99 96 ab 93 a 1,430 b Isoxaflutole + prometryn 0.11 + 0.67 92 90 ab 89 a 5,715 b Isoxaflutole + diuron 0.11 + 1.12 94 91 ab 87 a 1,430 b Isoxaflutole + diuron 0.11 + 0.56 90 90 ab 89 a 1 b Isoxaflutole + fluridone 0.11 + 0.17 88 91 ab 84 a 5,715 b Isoxaflutole + fluridone 0.11 + 0.08 94 90 ab 91 a 4,287 b Isoxaflutole + fomesafen 0.11 + 0.28 78 93 ab 93 a 1,430 b Isoxaflutole + fomesafen 0.11 + 0.14 97 98 a 94 a 1 b Isoxaflutole + pendimethalin 0.11 + 1.12 80 89 ab 84 a 2,858 b Isoxaflutole + pendimethalin 0.11 + 0.56 94 91 ab 88 a 2,858 b Isoxaflutole + S-metolachlor 0.11 + 1.4 99 99 a 98 a 1 b Isoxaflutole + S-metolachlor 0.11 + 0.7 90 99 a 95 a 1 b Isoxaflutole + acetochlor 0.11 + 1.26 76 88 ab 90 a 2,858 b Isoxaflutole + acetochlor 0.11 + 0.63 85 92 ab 86 a 1 b Isoxaflutole + pyrithiobac 0.11 + 0.058 83 89 ab 88 a 5,715 b Isoxaflutole + pyrithiobac 0.11 + 0.029 91 89 ab 85 a 1,430 b aAbbreviations: DAA, days after application. bWeed species present were a mix of large crabgrass, yellow nutsedge (Cyperus esculentus L.), red sprangletop (Leptochloa mucronate), tumble pigweed (Amaranthus albus L.), carpetweed (Mollugo verticillata L.), and puncturevine (Tribulus terrestris L.). cTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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Texas Tech University, Delaney Caitlin Foster, May 2021

Table 4.19. Weed control and density in San Angelo, TX in 2019 and 2020.a Weed control Weed density Palmer amaranth Texas millet Treatment Rate 14 DAAb 28 DAA 42 DAA 75 DAA 28 DAA kg ai ha-1 ------%------plants ha-1------Nontreated control -- 108 125,067 a Isoxaflutole 0.11 100 99 97 56 b 0 2,155 b Isoxaflutole + fluometuron 0.11 + 1.12 100 99 99 79 ab 0 1,683 b Isoxaflutole + fluometuron 0.11 + 0.56 100 98 98 73 ab 0 2,586 b Isoxaflutole + prometryn 0.11 + 1.35 100 99 99 83 ab 0 1,131 b Isoxaflutole + prometryn 0.11 + 0.67 100 99 99 84 ab 0 1,077 b Isoxaflutole + diuron 0.11 + 1.12 100 99 99 77 ab 0 1,400 b Isoxaflutole + diuron 0.11 + 0.56 100 99 98 68 ab 0 3,434 b Isoxaflutole + fluridone 0.11 + 0.17 100 99 99 86 ab 0 323 b Isoxaflutole + fluridone 0.11 + 0.08 100 98 99 74 ab 0 1,831 b Isoxaflutole + fomesafen 0.11 + 0.28 100 99 99 75 ab 4 1,898 b Isoxaflutole + fomesafen 0.11 + 0.14 100 99 99 73 ab 0 1,293 b Isoxaflutole + pendimethalin 0.11 + 1.12 100 100 99 76 ab 108 902 b Isoxaflutole + pendimethalin 0.11 + 0.56 100 100 100 76 ab 0 0 b Isoxaflutole + S-metolachlor 0.11 + 1.4 100 99 99 98 a 0 4,310 b Isoxaflutole + S-metolachlor 0.11 + 0.7 100 100 99 81 ab 0 431 b Isoxaflutole + acetochlor 0.11 + 1.26 100 98 99 77 ab 108 2,478 b Isoxaflutole + acetochlor 0.11 + 0.63 100 99 99 72 ab 0 1,185 b Isoxaflutole + pyrithiobac 0.11 + 0.058 100 99 99 69 ab 108 1,939 b Isoxaflutole + pyrithiobac 0.11 + 0.029 100 99 99 68 ab 0 754 b aAbbreviations: DAA, days after application. bTreatment means within a column followed by the same or no letter do not statistically differ according to Tukey’s HSD test at an alpha level of 0.05.

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