Deficit Irrigation of Quality Winegrapes Using Micro-Irrigation Techniques
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Basic Soil Science W
Basic Soil Science W. Lee Daniels See http://pubs.ext.vt.edu/430/430-350/430-350_pdf.pdf for more information on basic soils! [email protected]; 540-231-7175 http://www.cses.vt.edu/revegetation/ Well weathered A Horizon -- Topsoil (red, clayey) soil from the Piedmont of Virginia. This soil has formed from B Horizon - Subsoil long term weathering of granite into soil like materials. C Horizon (deeper) Native Forest Soil Leaf litter and roots (> 5 T/Ac/year are “bio- processed” to form humus, which is the dark black material seen in this topsoil layer. In the process, nutrients and energy are released to plant uptake and the higher food chain. These are the “natural soil cycles” that we attempt to manage today. Soil Profiles Soil profiles are two-dimensional slices or exposures of soils like we can view from a road cut or a soil pit. Soil profiles reveal soil horizons, which are fundamental genetic layers, weathered into underlying parent materials, in response to leaching and organic matter decomposition. Fig. 1.12 -- Soils develop horizons due to the combined process of (1) organic matter deposition and decomposition and (2) illuviation of clays, oxides and other mobile compounds downward with the wetting front. In moist environments (e.g. Virginia) free salts (Cl and SO4 ) are leached completely out of the profile, but they accumulate in desert soils. Master Horizons O A • O horizon E • A horizon • E horizon B • B horizon • C horizon C • R horizon R Master Horizons • O horizon o predominantly organic matter (litter and humus) • A horizon o organic carbon accumulation, some removal of clay • E horizon o zone of maximum removal (loss of OC, Fe, Mn, Al, clay…) • B horizon o forms below O, A, and E horizons o zone of maximum accumulation (clay, Fe, Al, CaC03, salts…) o most developed part of subsoil (structure, texture, color) o < 50% rock structure or thin bedding from water deposition Master Horizons • C horizon o little or no pedogenic alteration o unconsolidated parent material or soft bedrock o < 50% soil structure • R horizon o hard, continuous bedrock A vs. -
Decision Support Systems for Water Management
Decision Support Systems for Water Management Mladen Todorović CIHEAM – IAM BARI [email protected] LARI, Tal Amara, Lebanon, 6-10 December 2016 DSSConcept for water of LARI management, EWS Improvement Mladen, Vieri Todorovic Tarchiani INTRODUCTION TO THE COURSE Course objectives • Overall objective: – to provide basic (and advanced) knowledge about the application of decision support systems for water management in Mediterranean environments. • Specific objective: – To explain the structure, approach and purpose of decision support systems (DSS) in general and for water management and agricultural applications in particular; – To give a grounding about Geographical Information System (GIS), its structure, database development, format and management, and GIS/DSS applications and links in agriculture and water management – To expose about the use of new technologies (e.g. remote sensing – satellite and ground-based platforms) and modelling tools and their integration with DSS/GIS applications in agriculture and water management – To present and discuss the examples of DSS/GIS/modern technologies integration and applications in agriculture and water management and especially for risk assessment and alert/emergency management; – To start-up a dialogue and process of development of a DSS for early warning drought risk and irrigation management in Lebanon. The contents of the course 1 • DSS definition, approach, scales of application, components (data and database management, models, software tools, query tool, etc.), optimization criteria, single/multi objective criteria definition, model attributes, objective functions, constraints, quantitative and qualitative risk assessment. • GIS definition, components, benefits, limitations, sources of information, data models (vector, raster), applications in agriculture and precision farming, GPS/GIS integration, database development, operational functionalities, spatial queries, data classification, hydrological balance in GIS, GIS/DSS integration, decision making process, examples of application. -
Deficit Irrigation Management of Maize in the High Plains Aquifer Region: a Review Daran Rudnick University of Nebraska-Lincoln, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Biological Systems Engineering: Papers and Biological Systems Engineering Publications 2-2019 Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review Daran Rudnick University of Nebraska-Lincoln, [email protected] Sibel Irmak University of Nebraska - Lincoln, [email protected] C. West Texas Tech University J.L. Chavez Colorado State University I. Kisekka University of California, Davis See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/biosysengfacpub Part of the Bioresource and Agricultural Engineering Commons, Environmental Engineering Commons, and the Other Civil and Environmental Engineering Commons Rudnick, Daran; Irmak, Sibel; West, C.; Chavez, J.L.; Kisekka, I.; Marek, T.H.; Schneekloth, J.P.; Mitchell McCallister, D.; Sharma, V.; Djaman, K.; Aguilar, J.; Schipanski, M.E.; Rogers, D.H.; and Schlegel, A., "Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review" (2019). Biological Systems Engineering: Papers and Publications. 629. https://digitalcommons.unl.edu/biosysengfacpub/629 This Article is brought to you for free and open access by the Biological Systems Engineering at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Biological Systems Engineering: Papers and Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Daran Rudnick, Sibel Irmak, C. West, J.L. Chavez, I. Kisekka, T.H. Marek, J.P. Schneekloth, D. Mitchell McCallister, V. Sharma, K. Djaman, J. Aguilar, M.E. Schipanski, D.H. Rogers, and A. Schlegel This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/biosysengfacpub/ 629 JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION Vol. -
A Sustainable Approach for Improving Soil Properties and Reducing N2O Emissions Is Possible Through Initial and Repeated Biochar Application
agronomy Article A Sustainable Approach for Improving Soil Properties and Reducing N2O Emissions Is Possible through Initial and Repeated Biochar Application Ján Horák 1,* , Tatijana Kotuš 1, Lucia Toková 1, Elena Aydın 1 , Dušan Igaz 1 and Vladimír Šimanský 2 1 Department of Biometeorology and Hydrology, Faculty of Horticulture and Landscape Engineering, Slovak University of Agriculture, 949 76 Nitra, Slovakia; [email protected] (T.K.); [email protected] (L.T.); [email protected] (E.A.); [email protected] (D.I.) 2 Department of Soil Science, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, 949 76 Nitra, Slovakia; [email protected] * Correspondence: [email protected] Abstract: Recent findings of changing climate, water scarcity, soil degradation, and greenhouse gas emissions have brought major challenges to sustainable agriculture worldwide. Biochar application to soil proves to be a suitable solution to these problems. Although the literature presents the pros and cons of biochar application, very little information is available on the impact of repeated application. In this study, we evaluate and discuss the effects of initial and reapplied biochar (both in rates of 0, 10, and 20 t ha−1) combined with N fertilization (at doses of 0, 40, and 80 kg ha−1) on soil properties and N O emission from Haplic Luvisol in the temperate climate zone (Slovakia). Results showed that 2 biochar generally improved the soil properties such as soil pH(KCl) (p ≤ 0.05; from acidic towards Citation: Horák, J.; Kotuš, T.; Toková, moderately acidic), soil organic carbon (p ≤ 0.05; an increase from 4% to over 100%), soil water L.; Aydın, E.; Igaz, D.; Šimanský, V. -
Growing Grapes in Missouri
MS-29 June 2003 GrowingGrowing GrapesGrapes inin MissouriMissouri State Fruit Experiment Station Missouri State University-Mountain Grove Growing Grapes in Missouri Editors: Patrick Byers, et al. State Fruit Experiment Station Missouri State University Department of Fruit Science 9740 Red Spring Road Mountain Grove, Missouri 65711-2999 http://mtngrv.missouristate.edu/ The Authors John D. Avery Patrick L. Byers Susanne F. Howard Martin L. Kaps Laszlo G. Kovacs James F. Moore, Jr. Marilyn B. Odneal Wenping Qiu José L. Saenz Suzanne R. Teghtmeyer Howard G. Townsend Daniel E. Waldstein Manuscript Preparation and Layout Pamela A. Mayer The authors thank Sonny McMurtrey and Katie Gill, Missouri grape growers, for their critical reading of the manuscript. Cover photograph cv. Norton by Patrick Byers. The viticulture advisory program at the Missouri State University, Mid-America Viticulture and Enology Center offers a wide range of services to Missouri grape growers. For further informa- tion or to arrange a consultation, contact the Viticulture Advisor at the Mid-America Viticulture and Enology Center, 9740 Red Spring Road, Mountain Grove, Missouri 65711- 2999; telephone 417.547.7508; or email the Mid-America Viticulture and Enology Center at [email protected]. Information is also available at the website http://www.mvec-usa.org Table of Contents Chapter 1 Introduction.................................................................................................. 1 Chapter 2 Considerations in Planning a Vineyard ........................................................ -
Vineyard Labor Requirements
Vineyard Establishment (vine training, trellis, planting, early vine training, nutrition, & canopy management) Tremain Hatch Viticulture Research/Extension Associate What is a Vine Training System? The system or form in which a vine is cultivated Large area of healthy leaves exposed to sunlight V. mustangensis (Buckley) jrnh.net Photo credit: UT Austin Training Systems Vary in: Applicability to a situation Site + variety + goal = situation Quality Quantity Wine quality potential Labor Shoot positioning, leaf pulling, pruning, etc. Suitability for varieties Upright or trailing shoot growth Suitability for climates Wet, dry, cold, hot Cost of establishment Upright Trailing Varietal growth habit A Review of Some Common Vine Training Systems Canopy • Growing upward Canopy Growing downward Canopy division horizontal Vertical Division Non-Divided Canopy •More “traditional” or “mainstream” training systems VSP Sprawl High Bi-lateral High Cordon Lyre Divided Canopies Geneva Double Curtain Scott Henry Smart-Dyson Smart-Dyson GDC Lyre Some Common Training Systems Vertical Shoot Positioned VSP Bi-lateral cordon, vertical shoot positioned VSP A “standard” system Height of fruiting wire Vertical division Efficiency Ease of work One fruiting zone Vertical Shoot Positioned Pros Simple concept, relatively cheap installation Can be modified into vertically divided canopy of cordon is high enough Vertical Shoot Positioned Cons Low to moderate yield potential May require frequent maintenance in high vigor site Some Common Training Systems Smart-Dyson “Ballerina” Smart-Dyson Smart-Dyson Smart-Dyson Pros Increase leaf area – Yield increases of about 50-70% over non-divided VSP Suitable to most high- vigor situations Efficiently utilizes trellis space Smart-Dyson Cons Variety Timing weed control Additional labor Disease pressure? Some Common Training Systems Geneva Double Curtain GDC Photo: T.K. -
Wine Grape Trellis and Training Systems
Wine Grape Trellis and Training Systems Thomas Todaro Viticulture Specialist Michigan State University Extension Sutton’s Bay, Michigan 2018 Wine Grape Vineyard Establishment Conference Trellis systems Definition • A support structure for the grapevine. Purpose • Maintain vine form and provide maximum sunlight penetration for buds and clusters Trellis systems vary in: • Height • Higher the trellis = greater light interception • Extremely high and low trellis can reduce labor efficiency • Types, number and location of wires • 9-guage vs. high tensile steel • Single, multiple fruiting wires / vine row • Catch wires and non-catch wire systems • Post types and size • End posts : 9-10”, 4-6’ diam. • Line posts : 8-9”, 3’ diam. • End post anchor • H-system • Dead-man • Screw • Cost of establishment Trellis end posts H Dead-man / inverted V Screw / V Trellis Line posts • Influenced by • Availability • Installation equipment • Vine training system • Cost Optimum trellis systems will: • Be strong and long-lived; • Permanent with little annual maintenance • Supports the above ground vine components • Trunk, cordons, arms, spurs, canes • Foliage and fruit • Withstand elements • Wind, rain, cold, heat • Adaptable to modern mech. • Pruning and harvesting • Economical to construct Training System Definition • A form in which a grapevine is cultivated. Purpose • To facilitate canopy management and promote vegetative (shoots and leaves) and reproductive (fruit) growth. “Vine Balance” International standard = Bi-lateral cordon, vertical shoot positioning -
Grapevine Leaf Blade Sampling
Grapevine Leaf Blade Sampling Why Sample Leaf Tissue? Sampling leaf tissue at critical times of the season (bloom & veraison) is the best way to get feedback in the current season with regard to how your vines are responding to the growing conditions, your fertilization program, and seasonal fluctuations in temperature and rainfall. Unlike a soil analysis, the results of a plant tissue analysis can provide real-time input on how well vines are taking up and assimilating nutrients. Leaf analysis tells us what the vine Soil analysis tells us what mineral nutrients has taken up from the soil. are available in the soil for vines to access. Fritz Westover–Viticulturist • VirtualViticultureAcademy.com • [email protected] • Copyright © Westover Vineyard Advising, LLC 1 Leaf Blade Sampling at Bloom Sampling at bloom gives you the chance to optimize vine nutrition to improve cluster growth and berry ripening. Bloom or full bloom 50-75% Beginning of flowering or trace caps fallen Bloom or full bloom bloom 0-30% caps fallen 50-75% caps fallen Flower Cap Fritz Westover–Viticulturist • VirtualViticultureAcademy.com • [email protected] • Copyright © Westover Vineyard Advising, LLC 2 Flower cluster in various stages of bloom and fruit set. Sample time range is from 1 week before to 1 week after bloom. Quick Tip: The optimal time for bloom nutrient sampling is when your earliest variety is at 25-50% bloom. Sample leaves with petioles attached from a location adjacent to flowers. Be consistent – if sampling adjacent to 2nd cluster, repeat for all samples in block. Fritz Westover–Viticulturist • VirtualViticultureAcademy.com • [email protected] • Copyright © Westover Vineyard Advising, LLC 3 Leaf Blade Sampling at Veraison Sampling at veraison allows you to see how effective your fertilization program was for the current season and what nutrients your vines need before bloom of the next season. -
Effect of Deficit Irrigation on Yield and Water Use Efficiency of Maize at Selekleka District, Ethiopia
Deficit irrigation on maize yield by ET Gebreigziabher Journal of Nepal Agricultural Research Council Vol. 6: 127-135, March 2020 ISSN: 2392-4535 (Print), 2392-4543 (Online) DOI: https://doi.org/10.3126/jnarc.v6i0.28124 Effect of Deficit Irrigation on Yield and Water Use Efficiency of Maize at Selekleka District, Ethiopia Ekubay Tesfay Gebreigziabher Shire-Maitsebri Agricultural Research Center, Shire, Tigray, Ethiopia; @:[email protected]; ORCID: https://orcid.org/0000-0003-2329-5991 Received 18 July 2019, Revised 26 Nov 2019, Accepted 12 Jan 2020, Published OPEN ACCESS 17 March 2020 Scientific Editors: Sabir Hussain Shah, Jiban Shrestha Copyright © 2020 NARC. Permits unrestricted use, distribution and reproduction Licensed under the Creative Commons Attribution- in any medium provided the original work is properly cited. NonCommercial 4.0 International (CC BY-NC 4.0) The authors declare that there is no conflict of interest. ABSTRACT Irrigation water availability is diminishing in many areas of the Ethiopian regions, which require many irrigators to consider deficit-irrigation strategy. This study investigated the response of maize (Zea mays L.) to moisture deficit under conventional, alternate and fixed furrow irrigation systems combined with three irrigation amounts over a two years period. The field experiment was conducted at Selekleka Agricultural Research Farm of Shire-Maitsebri Agricultural Research Center. A randomized complete block design (RCBD) with three replications was used. Irrigation depth was monitored using a calibrated 2-inch throat Parshall flume. The effects of the treatments were evaluated in terms of grain yield, dry above-ground biomass, plant height, cob length and water use efficiency. -
Does Deficit Irrigation Give More Crop Per Drop?
Proceedings of the 22nd Annual Central Plains Irrigation Conference, Kearney, NE., February 24-25, 2010 Available from CPIA, 760 N.Thompson, Colby, Kansas DOES DEFICIT IRRIGATION GIVE MORE CROP PER DROP? Tom Trout, Walter Bausch and Gerald Buchleiter Water Management Research, USDA-Agricultural Research Service Fort Collins, CO 970-492-7419 Email: [email protected]. Past studies have shown that the reduction in yield with deficit irrigation is usually less than the reduction in irrigation water applied - for example, a 30% reduction in irrigation results in only a 10% reduction in yield. This means the marginal productivity of irrigation water applied tends to be low when water application is near full irrigation. This results either from increased efficiency of water applications (less deep percolation, runoff, and evaporation losses from irrigation and better use of precipitation) with deficit irrigation, or from a physiological response in plants that increases productivity per unit water consumed when water is limited. Economically managing limited water supplies will often involve deficit irrigation rather than reducing acreage. Likewise, if water supplies can be transferred or sold for other uses and the value is higher than the value of using the water to produce maximum yields, selling the water can increase the farm income. In Colorado, there is continuing need for additional water supplies for growing cities, groundwater augmentation, and environmental restoration. This water is usually purchased from agriculture through “buy and dry” – purchasing the water rights and fallowing the land. Limited irrigation may be an alternative way to provide for other water needs while sustaining productive agriculture. -
Grape Growing
GRAPE GROWING The Winegrower or Viticulturist The Winegrower’s Craft into wine. Today, one person may fill both • In summer, the winegrower does leaf roles, or frequently a winery will employ a thinning, removing excess foliage to • Decades ago, winegrowers learned their person for each role. expose the flower sets, and green craft from previous generations, and they pruning, taking off extra bunches, to rarely tasted with other winemakers or control the vine’s yields and to ensure explored beyond their village. The Winegrower’s Tasks quality fruit is produced. Winegrowers continue treatments, eliminate weeds and • In winter, the winegrower begins pruning • Today’s winegrowers have advanced trim vines to expose fruit for maximum and this starts the vegetative cycle of the degrees in enology and agricultural ripening. Winegrowers control birds with vine. He or she will take vine cuttings for sciences, and they use knowledge of soil netting and automated cannons. chemistry, geology, climate conditions and indoor grafting onto rootstocks which are plant heredity to grow grapes that best planted as new vines in the spring, a year • In fall, as grapes ripen, sugar levels express their vineyards. later. The winegrower turns the soil to and color increases as acidity drops. aerate the base of the vines. The winegrower checks sugar levels • Many of today’s winegrowers are continuously to determine when to begin influenced by different wines from around • In spring, the winegrower removes the picking, a critical decision for the wine. the world and have worked a stagé (an mounds of earth piled against the base In many areas, the risk of rain, hail or apprenticeship of a few months or a of the vines to protect against frost. -
Modeling of Full and Limited Irrigation Scenarios for Corn in a Semiarid Environment
MODELING OF FULL AND LIMITED IRRIGATION SCENARIOS FOR CORN IN A SEMIARID ENVIRONMENT K. C. DeJonge, A. A. Andales, J. C. Ascough II, N. C. Hansen ABSTRACT. Population growth in urbanizing areas such as the Front Range of Colorado has led to increased pressure to transfer water from agriculture to municipalities. In some cases, farmers may remain agriculturally productive while practicing limited or deficit irrigation, where substantial yields may be obtained with reduced water applications during non‐water‐sensitive growth stages, and crop evapotranspiration (ET) savings could then be leased by municipalities or other entities as desired. Site‐specific crop simulation models have the potential to accurately predict yield and ET trends resulting from differences in irrigation management. The objective of this study was to statistically determine the ability of the CERES‐Maize model to accurately differentiate between full and limited irrigation treatments in northeastern Colorado in terms of evapotranspiration (ET), crop growth, yield, water use efficiency (WUE), and irrigation use efficiency (IUE). Field experiments with corn were performed near Fort Collins, Colorado, from 2006 to 2008, where four replicates each of full (100% of ET requirement for an entire season) and limited (100% of ET during reproductive stage only) irrigation treatments were evaluated. Observations of soil profile water content, leaf area index, leaf number, and grain yield were used to calibrate (2007) and evaluate (2006 and 2008) the model. Additionally, ET and