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Outlooks on Pest Management最新文献

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Biotechnology News 生物技术新闻
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_05
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引用次数: 0
Glutathione S-Transferase's Role in Herbicide Metabolism: Crops Vs. Weeds 谷胱甘肽s -转移酶在除草剂代谢中的作用:作物与杂草
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_06
Amber Pelon, Fatemeh Abdollahi, Todd A. Gaines, Franck E. Dayan
The authors briefly describe the discovery and structure of glutathione S -transferases (GST), and how these enzymes are involved in herbicide metabolism. GSTs contribute to both herbicide selectivity in crops and herbicide resistance in weeds. This review highlights examples from research on selected crops and weeds demonstrating how these enzymes can have both positive and negative impacts on the efficacy of herbicides.
作者简要介绍了谷胱甘肽S -转移酶(GST)的发现和结构,以及这些酶如何参与除草剂代谢。gst对作物的除草剂选择性和杂草的抗性都有贡献。这篇综述重点介绍了对特定作物和杂草的研究,证明这些酶如何对除草剂的功效产生积极和消极的影响。
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引用次数: 0
Beet Moth: Has Summer 2022 Introduced a New Threat to the UK Sugar Beet Crop? 甜菜蛾:2022年夏季是否给英国甜菜作物带来了新的威胁?
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_02
Mark Stevens, Kate Orman, Eleanor Towler
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引用次数: 0
The Current Status of Weed Resistance to Herbicides and The Discovery of New Herbicides With Novel Modes of Action Necessary to Combat Them 杂草对除草剂的抗性现状及新除草剂的发现与新作用模式的必要对抗
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_01
Ken Pallett
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引用次数: 0
Regulatory News 监管新闻
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_03
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引用次数: 0
EPA Proposal 美国环保署建议
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_09
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引用次数: 0
Nanotechnology in Agriculture: Feeding the Future a Brief Review by Leonard Copping 纳米技术在农业:喂养未来的简要回顾,伦纳德·科普平
Q2 Agricultural and Biological Sciences Pub Date : 2023-08-01 DOI: 10.1564/v34_aug_12
Leonard Copping
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引用次数: 0
Company News 公司新闻
Q2 Agricultural and Biological Sciences Pub Date : 2023-06-01 DOI: 10.1564/v34_jun_09
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引用次数: 0
Characteristics of Spray Applications with Drones in Brazil: Spraying System and Swath Width 无人机在巴西喷雾应用的特点:喷洒系统和带状宽度
Q2 Agricultural and Biological Sciences Pub Date : 2023-06-01 DOI: 10.1564/v34_jun_02
Fernando K. Carvalho, U. R. Antuniassi, Rodolfo G. Chechetto, A. A. Mota, Vicente M. Cornago Junior
The objective of this study was to evaluate operational parameters and swath width characteristics of drone's spray applications in Brazil, considering aspects such as height and uniformity of deposition. There were evaluated 32 configurations of applications of 7 agricultural spraying drones. The technical basis for data collection was the use of a semiautomated electronic system, which analyzes the deposition of droplets on a polyester string and informs the ideal swath width for each configuration of drone applications, considering the deposition's coefficient of variation (CV). The system, denominated IFD ® (Swath Width Inspection), is based on ASAE S386.2 2018 standard. Likewise, it was collected information about flight high and drone configurations. IFD ® was a practical method to evaluate swath width and uniformity of drone applications. The results allowed an average increase on swath width of 27% compared to the swath previously used by the remote pilots. The swatch width obtained by using coarse (C) and very coarse (VC) droplet spectrum categories was 4.3 m, for median (M) 5.1 m, and fine (F) and very fine (VF) 5.2 m. The higher coefficient of variation (CV) was obtained for coarse and very coarse spray qualities, 16,7%, followed by median 16%, and fine and very fines, 14.4%.
本研究的目的是评估无人机在巴西喷洒应用的操作参数和条带宽度特性,考虑沉积的高度和均匀性等方面。对7架农业喷洒无人机的32种应用配置进行了评估。数据收集的技术基础是使用半自动电子系统,该系统分析液滴在聚酯绳上的沉积,并考虑沉积的变异系数(CV),为无人机应用的每种配置提供理想的线束宽度。该系统名为IFD®(Swath Width Inspection),基于ASAE S386.2 2018标准。同样,它也收集了有关高空飞行和无人机配置的信息。IFD®是一种评估无人机应用的线束宽度和均匀性的实用方法。与远程飞行员之前使用的线束相比,结果允许线束宽度平均增加27%。通过使用粗糙(C)和非常粗糙(VC)液滴光谱类别获得的样品宽度为4.3 m,中值(m)为5.1 m,精细(F)和非常精细(VF)为5.2 m。粗糙和非常粗糙的喷雾质量获得了更高的变异系数(CV),为16.7%,其次是中值16%,精细和非常精细,为14.4%。
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引用次数: 0
Applying Pesticides Using Drones 使用无人机施用农药
Q2 Agricultural and Biological Sciences Pub Date : 2023-06-01 DOI: 10.1564/v34_jun_08
G. Matthews
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引用次数: 0
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Outlooks on Pest Management
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