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首页> 外文期刊>Weed Technology: A journal of the Weed Science Society of America >Modeling the evolution of glyphosate resistance in barnyardgrass (Echinochloa crus-galli) in cotton-based production systems of the midsouthern United States.
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Modeling the evolution of glyphosate resistance in barnyardgrass (Echinochloa crus-galli) in cotton-based production systems of the midsouthern United States.

机译:模拟美国中南部基于棉花的生产系统中bar草(Echinochloa crus-galli)的草甘膦抗性演变。

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Glyphosate-resistant (GR) weeds have been a prime challenge to the sustainability of GR cotton-based production systems of the midsouthern United States. Barnyardgrass is known to be a high-risk species for evolving herbicide resistance, and a simulation model was developed for understanding the likelihood of glyphosate resistance evolution in this species in cotton-based systems. Under a worst-case scenario of five glyphosate applications in monoculture GR cotton, the model predicts resistance evolution in about 9 yr of continuous glyphosate use, with about 47% risk by year 15. A unique insight from this model is that management in response to GR Palmer amaranth in this system (a reactive response) provided a proactive means to greatly reduce the risks of glyphosate resistance evolution in barnyardgrass. Subsequent model analysis revealed that the risk of resistance is high in fields characterized by high barnyardgrass seedbank levels, seedling emergence, and seed production per square meter, whereas the risk is low in fields with high levels of postdispersal seed loss and annual seedbank loss. The initial frequency of resistance alleles was a high determinant of resistance evolution (e.g., 47% risk at year 15 at an initial frequency of 5e-8 vs. 4% risk at 5e-10). Monte Carlo simulations were performed to understand the influence of various glyphosate use patterns and production practices in reducing the rate and risk of glyphosate resistance evolution in barnyardgrass. Early planting and interrow cultivation are useful tools. Crop rotation is effective, but the diversity of weed management options practiced in the rotational crop is more important. Diversifying weed management options is the key, yet application timing and the choice of management option is critical. Model analyses illustrate the relative effectiveness of a number of diversified glyphosate use strategies in preventing resistance evolution and preserving the long-term utility of glyphosate in midsouthern U.S. cotton-based production systems.
机译:抗草甘膦(GR)杂草一直是美国中南部基于GR棉花的生产系统可持续性的主要挑战。众所周知,n草是发展除草剂抗性的高风险物种,因此开发了一个模拟模型,以了解棉基系统中该物种对草甘膦抗性演变的可能性。在最坏的情况下,在单一种植GR棉花中使用五种草甘膦,该模型预测连续使用草甘膦约9年会产生抗药性,到15年时风险约为47%。该模型的独特见解在于,应对该系统中的GR Palmer mar菜(反应性反应)提供了一种主动手段,可大大降低bar草中草甘膦抗性演变的风险。随后的模型分析表明,以bar草种子库水平高,幼苗出苗和每平方米种子产量为特征的田间,抗药性的风险较高,而散播后种子损失和年度种子库损失为高水平的田地,抗药性的风险低。耐药性等位基因的初始频率是耐药性进化的高决定因素(例如,在15e时初始频率为5e -8 的风险为47%,而5e -10 < / sup>)。进行了蒙特卡洛模拟,以了解各种草甘膦使用方式和生产实践对降低n草中草甘膦抗性进化的速率和风险的影响。早播和行间耕作是有用的工具。轮作是有效的,但轮作中实行的杂草处理选择的多样性更为重要。杂草管理方案的多样化是关键,但施用时机和管理方案的选择至关重要。模型分析表明,在美国中南部棉花生产系统中,多种草甘膦使用策略在防止耐药性演变和保持草甘膦的长期效用方面具有相对有效性。

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