Glyphosate-tolerant and glyphosate-resistant weeds are becoming increasingly problematic in cotton fields in Australia, necessitating a return from a glyphosate dominated system to a more integrated approach to weed management. The development of an integrated weed management system can be facilitated by identifying the critical period for weed control (CPWC), a model that enables cotton growers to optimize the timing of their weed control inputs. Using data from field studies conducted from 2003 to 2015, CPWC models using extended functions, including weed biomass in the relationships, were developed for the mimic weeds, common sunflower and Japanese millet, in high-yielding, fully irrigated cotton. A multispecies CPWC model was developed after combining these data sets with data for mungbean in irrigated cotton, using weed height and weed biomass as descriptors in the models. Comparison of observed and predicted relative cotton-lint yields from the multispecies CPWC model demonstrated that the model reasonably described the competition from these three very different mimic weeds, opening the possibility for cotton growers to use a multispecies CPWC model in their production systems.

中文翻译：

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建立高产棉花多品种杂草竞争模型

耐草甘膦和抗草甘膦杂草在澳大利亚的棉田中变得越来越成问题，需要从以草甘膦为主的系统回归到更综合的杂草管理方法。通过确定杂草控制关键期 (CPWC) 可以促进综合杂草管理系统的开发，CPWC 是一种使棉花种植者能够优化其杂草控制投入时间的模型。使用 2003 年至 2015 年进行的田间研究数据，CPWC 模型使用扩展函数，包括关系中的杂草生物量，针对高产、完全灌溉棉花中的模拟杂草、普通向日葵和日本小米开发。在将这些数据集与灌溉棉花中的绿豆数据相结合后，开发了一个多物种 CPWC 模型，使用杂草高度和杂草生物量作为模型中的描述符。多物种 CPWC 模型观察到的和预测的相对皮棉产量的比较表明，该模型合理地描述了来自这三种非常不同的模拟杂草的竞争，为棉花种植者在其生产系统中使用多物种 CPWC 模型提供了可能性。