4.1 Article

PAM: Decision Support for Long-Term Palmer Amaranth (Amaranthus palmeri) Control

期刊

WEED TECHNOLOGY
卷 31, 期 6, 页码 915-927

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/wet.2017.69

关键词

Decision support software; weed control; farm management

资金

  1. USDA-NIFA Crop Protection and Pest Management Program
  2. Cotton Incorporated
  3. Bayer CropScience
  4. Dow AgroSciences
  5. Syngenta

向作者/读者索取更多资源

Palmer amaranth is the most troublesome weed problem in mid-southern US crop production. Herbicides continue to be the most commonly employed method for managing Palmer amaranth, despite the weed's widespread resistance to them. Therefore, farmers need research and extension efforts that promote the adoption of integrated weed management (IWM) techniques. Producers, crop consultants, educators, and researchers would be more likely to deploy diversified chemical and nonchemical weed management options if they are more informed about long-term biological and economic implications via user-friendly decision-support software. Described within is a recently developed software that demonstrates the effects of Palmer amaranth management practices on soil seedbank, risk of resistance evolution, and economics over a 10-year planning horizon. Aiding this objective is a point-and-click interface that provides feedback on resistance risk, yield potential, profitability, soil seedbank dynamics, and error checking of management options.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据