Appendix 3. Mango Objective Reporting
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SIGNATURE Cocktails COCKTAILS Cucumber Fizz S’More Martini Signature Absolut Pear Our S’more Vodka, St. Martini is a fun Germaine, adult twist on a lemon juice, classic dessert. A garnished with perfect cocktail fresh cucumber year round Jake’s Cooler Fire & ICe Inspired by the Jalapeño- lifestyle! Coconut infused rum and schnapps tequila, Patrón mixed with Citronge, lemonade, our signature sweet cucumber, and sour and lime blue curaçao Salted Ultimate Watermelon Absolute Pepper Margarita Bloody Mary 1800 Silver Absolut Peppar, Zing Tequila, St. Germain, Dekuyper Zang Mix, spices and Watermelon AJ’s famous Bloody Pucker, citrus agave Mary garnish! Make Your Mark Blood Orange Maker’s Mark Ricky Kentucky Bourbon, Tanqueray Gin, lemon juice, simple syrup and blood orange, fresh mint leaves fresh lime Adult Arnold Twisted Art Palmer & Jake Stoli vodka with Bombay Sapphire, muddled fresh St. Germaine, mint and lemon lemon juice, wedges, lemonade simple syrup, and fresh-brewed soda water, iced tea lemon garnish BOTTLE & DRAFT BEER DRAFT BEER Bud Light • Miller Light • Coors Light • Stella • Blue Moon • Sam Adam’s Seasonal • Bell’s Seasonal • Leinenkugel Seasonal • Founder’s Seasonal Beer BOTTLED BEER Wine Budweiser • Bud Light • Miller Lite • Coors Light • Michelob • Corona • MGD • Labatt’s • Heineken *We just have too much beer. Please ask your server for a current list* WINE Red Wine By the Glass or Bottle Cabernet Sauvignon - Louis Martini Merlot - Kendall Jackson Shiraz - Koonunga Hill Penfolds Pinot Noir - Meiomi Malbec - Don Gascon White -
List of the Import Prohibited Plants
List of the Import Prohibited Plants The Annexed Table 2 of the amended Enforcement Ordinance of the Plant Protection Law (Amended portions are under lined) Districts Prohibited Plants Quarantine Pests 1. Yemen, Israel, Saudi Arabia, Fresh fruits of akee, avocado, star berry, Mediterranean fruit fly Syria, Turkey, Jordan, Lebanon, allspice, olive, cashew nut, kiwi fruit, Thevetia (Ceratitis capitata) Albania, Italy, United Kingdom peruviana, carambola, pomegranate, jaboticaba, (Great Britain and Northern broad bean, alexandrian laurel, date palm, Ireland, hereinafter referred to as Muntingia calabura, feijoa, pawpaw, mammee "United Kingdom"), Austria, apple, longan, litchi, and plants of the genera Netherlands, Cyprus, Greece, Ficus, Phaseolus, Diospyros(excluding those Croatia, Kosovo, Switzerland, listed in appendix 41), Carissa, Juglans, Morus, Spain, Slovenia, Serbia, Germany, Coccoloba, Coffea, Ribes, Vaccinium, Hungary, France, Belgium, Passiflora, Dovyalis, Ziziphus, Spondias, Musa Bosnia and Herzegovina, (excluding immature banana), Carica (excluding Portugal, Former Yugoslav those listed in appendix 1), Psidium, Artocarpus, Republic of Macedonia, Malta, , Annona, Malpighia, Santalum, Garcinia, Vitis Montenegro, Africa, Bermuda, (excluding those listed in appendices 3 and 54), Argentina, Uruguay, Ecuador, El Eugenia, Mangifera (excluding those listed in Salvador, Guatemala, Costa Rica, appendices 2 ,36 ,43 ,51 and 53), Ilex, Colombia, Nicaragua, West Indies Terminalia and Gossypium, and Plants of the (excluding Cuba, Dominican family Sapotaceae, Cucurbitaceae (excluding Republic,Puerto Rico), Panama, those listed in appendices 3 and 42), Cactaceae Paraguay, Brazil, Venezuela, (excluding those listed in appendix 35), Peru, Bolivia, Honduras, Australia Solanaceae (excluding those listed in (excluding Tasmania), Hawaiian appendices 3 and 42), Rosaceae (excluding Islands those listed in appendices 3 and 31) and Rutaceae (excluding those listed in appendices 4 to 8 ,39 ,45 and 56). -
OUTSTANDING WARRANTS As of 10/10/2017
OUTSTANDING WARRANTS as of 10/10/2017 AGUILAR, CESAR JESUS ALEXANDER, SARAH KATHEREN ALLEN, RYAN MICHAEL A AGUILAR, ROBERTO CARLOS ALEXANDER, SHARRONA LAFAYE ALLEN, TERRELL MARQUISE AARON, WOODSTON AGUILERA, ROBERTO ALEXANDER, STANLEY TOWAYNE ALLEN, VANESSA YVONNE ABABTAIN, ABDULLAH AGUILIAR, CANDIDO PEREZ ALEXANDER, STEPHEN PAUL ALMAHAMED, HUSSAIN HADI M MOHAMMED A AHMADI, PAULINA GRACE ALEXANDER, TERRELL ALMAHYAWI, HAMED ABDELTIF, ALY BEN AIKENS, JAMAL RAHEEM ALFONSO, MIGUEL RODRIGUEZ ALMASOUDI, MANSOUR ABODERIN, OLUBUSAYO ADESAJI AITKEN, ROBERT ALFORD, LARRY ANTONIO MOHAMMED ALMUTAIRI, ABDULHADI HAZZAA ABRAMS, TWANA AKIBAR, BRIANNA ALFREDS, BRIAN DANIEL ALNUMARI, HESHAM MOHSMMED ABSTON, CALEB JAMES AKINS, ROBERT LEE ALGHAMDI, FAHADAHMED-A ALONZO, RONY LOPEZ ACAMPORA, ADAM CHRISTOPHER AL NAME, TURKI AHMED M ALHARBI, MOHAMMED JAZAA ALOTAIBI, GHAZI MAJWIL ACOSTA, ESPIRIDION GARCIA AL-SAQAF, HUSSEIN M H MOHSEB ALHARBI, MOHAMMED JAZAA ALSAIF, NAIF ABDULAZIZ ACOSTA, JADE NICOLE ALASMARI, AHMAD A MISHAA ALIJABAR, ABDULLAH ALSHEHRI, MAZEN N DAFER ADAMS, ANTONIO QUENTERIUS ALBERDI, TOMMY ALLANTAR, OSCAR CVELLAR ALSHERI, DHAFER SALEM ADAMS, BRIAN KEITH ALBOOSHI, AHMED ABALLA ALLEN, ANDREW TAUONE ALSTON, COREY ROOSEVELT ADAMS, CHRISTOPHER GENE ALBRIGHT, EDMOND JERRELL ALLEN, ANTHONY TEREZ ALSTON, TORIANO ADARRYL ADAMS, CRYSTAL YVONNE ALCANTAR, ALVARO VILCHIS ALLEN, ARTHUR JAMES ALTMAN, MELIS CASSANDRA ADAMS, DANIEL KENNETH ALCANTAR, JOSE LUIS MORALES ALLEN, CHADWICK DONOVAN ALVARADO, CARLOS ADAMS, DARRELL OSTELLE ALCANTARA, JESUS ALLEN, CHRISTOPHER -
Cold Storage of 'Palmer' Mangoes Sorted Based on Dry Matter Content
Article Cold storage of ‘Palmer’ mangoes sorted based on dry matter content using portable near infrared (VIS-NIR) spectrometer Santos Neto, João Paixão dos, Leite, Gustavo Walace Pacheco, Oliveira, Gabriele da Silva, Cunha Júnior, Luís Carlos, Gratão, Priscila Lupino, Medeiros-De-morais, Camilo De lelis and Teixeira, Gustavo Henrique de Almeida Available at http://clok.uclan.ac.uk/22728/ Santos Neto, João Paixão dos, Leite, Gustavo Walace Pacheco, Oliveira, Gabriele da Silva, Cunha Júnior, Luís Carlos, Gratão, Priscila Lupino, Medeiros- De-morais, Camilo De lelis ORCID: 0000-0003-2573-787X and Teixeira, Gustavo Henrique de Almeida (2018) Cold storage of ‘Palmer’ mangoes sorted based on dry matter content using portable near infrared (VIS-NIR) spectrometer. Journal of Food Processing and Preservation, 42 (6). e13644. ISSN 0145-8892 It is advisable to refer to the publisher’s version if you intend to cite from the work. http://dx.doi.org/10.1111/jfpp.13644 For more information about UCLan’s research in this area go to http://www.uclan.ac.uk/researchgroups/ and search for <name of research Group>. For information about Research generally at UCLan please go to http://www.uclan.ac.uk/research/ All outputs in CLoK are protected by Intellectual Property Rights law, including Copyright law. Copyright, IPR and Moral Rights for the works on this site are retained by the individual authors and/or other copyright owners. Terms and conditions for use of this material are defined in the policies page. CLoK Central Lancashire online Knowledge www.clok.uclan.ac.uk 1 1 Cold storage of ‘Palmer’ mangoes sorted based on dry matter content using portable 2 near infrared (VIS-NIR) spectrometer 3 4 João Paixão dos Santos Netoa, Gustavo Walace Pacheco Leitea, Gabriele da Silva Oliveira a, 5 Luís Carlos Cunha Júniorb, Priscila Lupino Gratãoa, Camilo de Lelis Medeiros de Moraisc, 6 Gustavo Henrique de Almeida Teixeiraa,* 7 8 aUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias 9 (FCAV), Campus de Jaboticabal. -
Mango Production in Pakistan; Copyright © 1
MAGO PRODUCTIO I PAKISTA BY M. H. PAHWAR Published by: M. H. Panhwar Trust 157-C Unit No. 2 Latifabad, Hyderabad Mango Production in Pakistan; Copyright © www.panhwar.com 1 Chapter No Description 1. Mango (Magnifera Indica) Origin and Spread of Mango. 4 2. Botany. .. .. .. .. .. .. .. 9 3. Climate .. .. .. .. .. .. .. 13 4. Suitability of Climate of Sindh for Raising Mango Fruit Crop. 25 5. Soils for Commercial Production of Mango .. .. 28 6. Mango Varieties or Cultivars .. .. .. .. 30 7. Breeding of Mango .. .. .. .. .. .. 52 8. How Extend Mango Season From 1 st May To 15 th September in Shortest Possible Time .. .. .. .. .. 58 9. Propagation. .. .. .. .. .. .. .. 61 10. Field Mango Spacing. .. .. .. .. .. 69 11. Field Planting of Mango Seedlings or Grafted Plant .. 73 12. Macronutrients in Mango Production .. .. .. 75 13. Micro-Nutrient in Mango Production .. .. .. 85 14. Foliar Feeding of Nutrients to Mango .. .. .. 92 15. Foliar Feed to Mango, Based on Past 10 Years Experience by Authors’. .. .. .. .. .. 100 16. Growth Regulators and Mango .. .. .. .. 103 17. Irrigation of Mango. .. .. .. .. .. 109 18. Flowering how it takes Place and Flowering Models. .. 118 19. Biennially In Mango .. .. .. .. .. 121 20. How to Change Biennially In Mango .. .. .. 126 Mango Production in Pakistan; Copyright © www.panhwar.com 2 21. Causes of Fruit Drop .. .. .. .. .. 131 22. Wind Breaks .. .. .. .. .. .. 135 23. Training of Tree and Pruning for Maximum Health and Production .. .. .. .. .. 138 24. Weed Control .. .. .. .. .. .. 148 25. Mulching .. .. .. .. .. .. .. 150 26. Bagging of Mango .. .. .. .. .. .. 156 27. Harvesting .. .. .. .. .. .. .. 157 28. Yield .. .. .. .. .. .. .. .. 163 29. Packing of Mango for Market. .. .. .. .. 167 30. Post Harvest Treatments to Mango .. .. .. .. 171 31. Mango Diseases. .. .. .. .. .. .. 186 32. Insects Pests of Mango and their Control . -
Fruit Yield and Quality of Palmer Mango Trees Under Different Irrigation Systems
ORIGINAL ARTICLE published: 05 June 2020 https://doi.org/10.14295/CS.v11i0.3254 Fruit yield and quality of Palmer mango trees under different irrigation systems Welson Lima Simões¹* , Maria Aparecida do Carmo Mouco¹ , Victor Pimenta Martins de Andrade2 , Pedro Paulo Bezerra3 , Eugenio Ferreira Coelho4 1Embrapa Semiarid, Petrolina, Brazil 2Federal Institute of Education, Science and Technology of Sertão Pernambucano, Santa Maria da Boa Vista, Brazil 3Federal Rural University of Pernambuco, Recife, Brazil 4Embrapa Cassava and Fruit, Cruz das Almas, Brazil *Corresponding author, e-mail: [email protected] Abstract Mango production has been having a great economical expression in the Brazilian agriculture. However, the economic crisis and increased competitiveness of the international market required improvements in the crop efficiency for its sustainability. In this context, the objective of this work was to evaluate the effect of different irrigation system on the physiology and fruit yield and quality of Palmer mango trees in the semiarid conditions of the Lower Middle São Francisco Valley, Brazil. The experiment was carried out at the Agranvil Farm, in Petrolina, state of Pernambuco, Brazil, with harvests in July 2013 and October 2014. A randomized block statistical design was used, with four treatments replicated in 5 blocks, during two production cycles. The treatments consisted of four irrigation systems: one micro sprinkler under the plant canopy (MSPC); drip system with two lateral lines per plant row (DSLL); one micro sprinkler between plants (MSBP); and ring-shaped drip system around the plants (RSDS). All treatments provided a flow rate of 56 L h-1 plant-1. The physiological characteristics evaluated were: photosynthesis, stomatal conductance, leaf transpiration, and leaf temperature. -
A Season Like No Other
JUNE 2021 / VOLUME FORTY-FOUR 2020... a season like no other PAGE 12 Biosecurity—Emergency Plant Pest Response Deed PAGE 18 Season in review PAGE 20 Mango industry aims high with high-density plantings PAGE 22 WINTER ISSUE Get better fruit quality and shelf life for your mango and tropical fruit with exceptional in-crop disease control from Luna® Sensation Fungicide. NEW Registration • Suits tight harvesting schedule • Aids resistance management • Flexibility to spray over flowering • Complements an IPM strategy For more information visit lunasensation.com.au or speak to your advisor. Luna® is a Registered Trademark of the Bayer Group. Bayer CropScience Pty Ltd ABN 87 000 226 022. Level 1, 8 Redfern Road Hawthorn East VIC 3123, Australia. Technical Enquiries: 1800 804 479 [email protected] BHO0173_Luna_Sensation_Avocado&Mango_210x297_FA.indd 2 19/8/20 5:15 pm CONTENTS 4 CEO & CHAIRMAN REPORTS 6 DIRECTOR REPORTS 8 AMIA & INDUSTRY NEWS Executive team update AMIA AGM AG Visa announced Export information AMIA now a member of Irrigation Australia Increase to minimum wage and other updates ATO Resources QFF updates Major drought reform for Queensland producers New research identifies 12 PR & MARKETING best mango pollinators 2020...a season like no other 18 BIOSECURITY, A wide range of insects visit mango RESEARCH & POLICY flowers, but new research has identified Biosecurity—Emergency Plant Pest Response Deed which of those are the most effective Biosecurity—National Fruit Fly pollinators. Symposium calls for national strategy committment -
Changes in the Sensory Characteristics of Mango Cultivars During the Production of Mango Purée and Sorbet
DIFFERENCES IN SENSORY CHARACTERISTICS AMONG VARIOUS MANGO CULTIVARS IN THE FORM OF FRESH SLICED MANGO, MANGO PURÉE, AND MANGO SORBET by CHRISTIE N. LEDEKER B.S., University of Delaware, 2008 A THESIS submitted in partial fulfillment of the requirements for the degree MASTER OF SCIENCE Interdisciplinary Food Science Graduate Program Department of Human Nutrition KANSAS STATE UNIVERSITY Manhattan, Kansas 2011 Approved by: Major Professor Dr. Delores H. Chambers Abstract Fresh mangoes are highly perishable, and therefore, they are often processed to extend shelf-life and facilitate exportation. Studying the transformation that mango cultivars undergo throughout processing can aid in selecting appropriate varieties for products. In the 1st part of this study, the flavor and texture properties of 4 mango cultivars available in the United States (U.S.) were analyzed. Highly trained descriptive panelists in the U.S. evaluated fresh, purée, and sorbet samples prepared from each cultivar. Purées were made by pulverizing mango flesh, passing it through a china cap, and heating it to 85 °C for 15 s. For the sorbets, purées were diluted with water (1:1), sucrose was added, and the bases were frozen in a batch ice cream freezer. Much of the texture variation among cultivars was lost after fresh samples were transformed into purées, whereas much of the flavor and texture variation among cultivars was lost once fresh mangoes and mango purées were transformed into sorbets. Compared to the other cultivars, Haden and Tommy Atkins underwent greater transformations in flavor throughout sorbet preparation, and processing reduced the intensities of some unpleasant flavors in these cultivars. -
'Honey Gold' Mango Fruit
Final Report Improving consumer appeal of Honey Gold mango by reducing under skin browning and red lenticel discolouration Peter Hofman The Department of Agriculture and Fisheries (DAF) Project Number: MG13016 MG13016 This project has been funded by Horticulture Innovation Australia Limited with co-investment from Piñata Farms Pty Ltd and funds from the Australian Government. Horticulture Innovation Australia Limited (Hort Innovation) makes no representations and expressly disclaims all warranties (to the extent permitted by law) about the accuracy, completeness, or currency of information in Improving consumer appeal of Honey Gold mango by reducing under skin browning and red lenticel discolouration. Reliance on any information provided by Hort Innovation is entirely at your own risk. Hort Innovation is not responsible for, and will not be liable for, any loss, damage, claim, expense, cost (including legal costs) or other liability arising in any way (including from Hort Innovation or any other person’s negligence or otherwise) from your use or non-use of Improving consumer appeal of Honey Gold mango by reducing under skin browning and red lenticel discolouration, or from reliance on information contained in the material or that Hort Innovation provides to you by any other means. ISBN 978 0 7341 3977 1 Published and distributed by: Horticulture Innovation Australia Limited Level 8, 1 Chifley Square Sydney NSW 2000 Tel: (02) 8295 2300 Fax: (02) 8295 2399 © Copyright 2016 Contents Summary ......................................................................................................................................... -
Ataulfo’ Mango Under Pruning and Paclobutrazol Management
J. Agr. Sci. Tech. (2014) Vol. 16: 385-393 Vegetative and Reproductive Development of ‘Ataulfo’ Mango under Pruning and Paclobutrazol Management ∗ D. A. García De Niz 1, G. L. Esquivel 2 , R. B. Montoya 2, B. G. Arrieta Ramos 2, G. A. Santiago 2, J. R. Gómez Aguilar 2, and A. R. Sao José 3 ABSTRACT Pruning of the plant canopy and paclobutrazol application to the root zone are agronomic practices that improve harvest yield in mango ( Mangifera indica L.) orchards. To assess the effect of pruning and paclobutrazol treatment on the vegetative and reproductive development of ‘Ataulfo’ mango, three pruning dates (20 April, 20 May, and 20 June) and three concentrations of paclobutrazol (PBZ) (7.5, 11.25, and 15 mL of active ingredient) were used. While control trees presented only one vegetative growth during the productive cycle, trees that were pruned and treated with PBZ had up to three vegetative growth cycles before flowering, regardless of whether pruning occurred in April, May, or June. The number of vegetative shoots and inflorescences (m -2) were equal when trees were pruned and PBZ was applied. When pruning was performed in April or May, the time of harvest occurred 28 days earlier compared to the control. Pruning in April numerically resulted in the greatest production efficiency (7-11 kg m -2). For all the three pruning dates, fruit production of trees treated with PBZ and pruning was from 38 to 98 kg; these values were always less than those obtained for the control trees. The greatest incidence of seedless fruits (57-80%) occurred when pruning was performed in June. -
Mangifera Indica CV. 'Nam Dok Mai Si Thong'
E3S Web of Conferences 187, 04006 (2020) https://doi.org/10.1051/e3sconf /202018704006 TSAE 2020 Overall precision test of near infrared spectroscopy on mango fruits (Mangifera indica CV. ‘Nam Dok Mai Si Thong’) by on-line and off-line systems Wachiraya Lekhawattana1*, and Panmanas Sirisomboon2 1King Mongkut’s Institute of Technology Ladkrabang, Department of Agricultural Engineering, Faculty of Engineering, Bangkok, Thailand. 2King Mongkut’s Institute of Technology Ladkrabang, NIR Spectroscopy Research Center for Agricultural Products and Foods, Department of Agricultural Engineering, Faculty of Engineering, Bangkok, Thailand. Abstract. The near infrared (NIR) spectroscopy both on-line and off-line scanning was applied on mango fruits (Mangifera indica CV. ‘Nam dok mai- si Thong’) for the overall precision test. The reference parameter was total soluble solids content (Brix value). The results showed that the off-line scanning had a higher accuracy than on-line scanning. The scanning repeatability of the off-line and on-line systems were 0.00199 and 0.00993, respectively. The scanning reproducibility of the off-line and online systems were 0.00279 and 0.00513, respectively. The reference of measurement ͦ repeatability was 0.2. The maximum coefficient of determination (R ΛΏΦ) of the reference measurement was 0.894. 1 Introduction Mango is an important economic crop, which can generate income for farmers in Thailand because of consumption demand in both domestic and international markets. According to the statistics of mangoes exports in 2017, The total production throughout was 2.017 million tons [2]. The most exported mango species include nam dok mai, Khiao Sawiei, Hnuk Klangwan, Chok Anan, Rad and Aok Rong, respectively. -
Fruit Load Estimation in Mango Orchards – a Method Comparison
Fruit load estimation in mango orchards – a method comparison J. P. Underwood1, M.M. Rahman2, A. Robson2, K. B. Walsh3, A. Koirala3, Z. Wang3 Abstract—The fruit load of entire mango orchards was been previously described for macadamia and avocado by [1] estimated well before harvest using (i) in-field machine vision on (e.g. R2 = 0.81, 0.68 and 0.72 on three avocado blocks, mobile platforms and (ii) WorldView-3 satellite imagery. For respectively; for 18 trees per block). This remote sensing in-field machine vision, two imaging platforms were utilized, approach allows for a yield forecast of large areas. However, with (a) day time imaging with LiDAR based tree segmentation Robson et al. [1] reported that the VI used and the relationship and multiple views per tree, and (b) night time imaging system slope between that VI and fruit load varied with orchard, using two images per tree. The machine vision approaches necessitating field-work for calibration at each orchard. involved training of neural networks with image snips from one orchard only, followed by use for all other orchards (varying in Machine vision systems for estimation of mango fruit load location and cultivar). Estimates of fruit load per tree achieved on tree have been previously reported by Payne et al. [2] and up to a R2 = 0.88 and a RMSE = 22.5 fruit/tree against harvest Stein et al. [3]. The former study [2] used a night imaging, fruit count per tree (n = 18 trees per orchard). With satellite dual-view approach (two images of each tree, from the two imaging, a regression was established between a number of inter rows), with a report of a coefficient of determination (R2) spectral indices and fruit number for a set (n=18) of trees in each of only 0.74 relative to human count, with fruit number under 2 orchard (example: R = 0.57, RMSE = 22 fruit/tree), and this estimated due to canopy occlusion.