首页> 外文OA文献 >Herbicides do not ensure for higher wheat yield, but eliminate rare plant species
【2h】

Herbicides do not ensure for higher wheat yield, but eliminate rare plant species

机译:除草剂不能确保小麦增产,但会消除稀有植物

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Weed control is generally considered to be essential for crop production and herbicides have become the main method used for weed control in developed countries. However, concerns about harmful environmental consequences have led to strong pressure on farmers to reduce the use of herbicides. As food demand is forecast to increase by 50% over the next century, an in-depth quantitative analysis of crop yields, weeds and herbicides is required to balance economic and environmental issues. This study analysed the relationship between weeds, herbicides and winter wheat yields using data from 150 winter wheat fields in western France. A Bayesian hierarchical model was built to take account of farmers' behaviour, including implicitly their perception of weeds and weed control practices, on the effectiveness of treatment. No relationship was detected between crop yields and herbicide use. Herbicides were found to be more effective at controlling rare plant species than abundant weed species. These results suggest that reducing the use of herbicides by up to 50% could maintain crop production, a result confirmed by previous studies, while encouraging weed biodiversity. Food security and biodiversity conservation may, therefore, be achieved simultaneously in intensive agriculture simply by reducing the use of herbicides.
机译:杂草控制通常被认为对作物生产至关重要,除草剂已成为发达国家控制杂草的主要方法。但是,对有害环境后果的担忧导致农民面临减少除草剂使用的巨大压力。预计到下个世纪,粮食需求将增长50%,因此需要对作物产量,杂草和除草剂进行深入的定量分析,以平衡经济和环境问题。这项研究使用来自法国西部150个冬麦田的数据分析了杂草,除草剂与冬小麦产量之间的关系。建立了贝叶斯分层模型,以考虑农民对处理效果的行为,包括对杂草和杂草控制方法的隐含感知。在农作物产量和除草剂使用之间未发现任何关系。发现除草剂比杂草种类在控制稀有植物上更有效。这些结果表明,将除草剂的使用量减少多达50%,可以保持作物的产量,这一结果已得到先前研究的证实,同时还鼓励了杂草的生物多样性。因此,只需减少除草剂的使用,在集约化农业中就可以同时实现粮食安全和生物多样性保护。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号