Junglerice (Echinochloa colona L.) seedling emergence model as a tool to optimize pre-emergent herbicide application

IF 2.6 3区 农林科学 Q1 AGRONOMY
Gabriel Picapietra, H. Acciaresi
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引用次数: 0

Abstract

Junglerice (Echinochloa colona), one of the worst and most problematic weeds in the world, causes large economic losses as a result of yield loss and control cost increase. Taking into account that this weed emerges in approximately five months from September to January, and considering that reducing herbicide use is key in the current intensification of agricultural production systems, the present study was carried out under the hypothesis that there should be an optimal moment for pre-emergent herbicide application to achieve maximum weed control effectiveness and efficiency. Experiments were therefore carried out from August 2016 to January 2021 in Pergamino, Buenos Aires province, Argentina, using a double-logistic emergence model of junglerice seedlings. Bicyclopyrone plus s-metolachlor, clomazone, and pyroxasulfone plus saflufenacil were applied at different times between 92 and 478 growing degree days (GDD). Single applications between 348 and 399 GDD were observed to reduce junglerice seedling emergence by 85-99%, depending on the herbicide used. Such a seedling emergence reduction could, in combination with a competitive crop and within a sustainable production system, be a convenient strategy to provide significant weed suppression in the field. The overall results from the present study lead to the conclusion that using predictive models for pre-emergent herbicide applications ensures a more effective use of herbicides and reduces the amounts of herbicides used as well as the risks of selecting herbicide-resistant junglerice populations. Highlights - Weed occurrence indirectly increases the number of herbicide applications in Argentina. - Reducing the number and volume of herbicide applications contributes to mitigating environmental impact in the short term. - There is a critical time during weed emergence in which chemical control via herbicide application is most effective. - Seedling emergence models are useful management tools to predict critical timing for weed control.
小水蛭(Echinochloa colona L.)幼苗出苗模型作为优化苗期前除草剂施用的工具
紫锥草(Echinochloa colona)是世界上危害最严重、问题最严重的杂草之一,由于产量损失和防治成本增加而造成巨大的经济损失。考虑到这种杂草大约在5个月内出现,从9月到1月,并且考虑到减少除草剂的使用是当前农业生产系统集约化的关键,本研究是在假设存在一个最佳时刻的前提下进行的,即在出现前施用除草剂以达到最大的杂草控制效果和效率。因此,实验于2016年8月至2021年1月在阿根廷布宜诺斯艾利斯省的佩加米诺进行,使用了丛林树幼苗的双逻辑涌现模型。在92 ~ 478生长度日(GDD)之间的不同时间施用双环吡咯酮+ s-甲草胺、氯马酮和吡咯砜+氟虫酸。单次施用348 ~ 399 GDD可使丛林菊出苗率降低85-99%,具体取决于所使用的除草剂。这种减少幼苗出苗率的方法,与有竞争力的作物相结合,在可持续的生产系统内,可以成为一种方便的策略,在田间提供显著的杂草抑制。本研究的总体结果表明,在苗期前使用除草剂的预测模型可以确保更有效地使用除草剂,减少除草剂的使用量,并降低选择抗除草剂丛林鼠种群的风险。要点:杂草的发生间接增加了阿根廷除草剂的使用数量。-减少除草剂的使用数量和数量有助于在短期内减轻对环境的影响。-在杂草出现的关键时期,使用除草剂进行化学控制是最有效的。幼苗出苗模型是预测杂草控制关键时间的有用管理工具。
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来源期刊
CiteScore
4.20
自引率
4.50%
发文量
25
审稿时长
10 weeks
期刊介绍: The Italian Journal of Agronomy (IJA) is the official journal of the Italian Society for Agronomy. It publishes quarterly original articles and reviews reporting experimental and theoretical contributions to agronomy and crop science, with main emphasis on original articles from Italy and countries having similar agricultural conditions. The journal deals with all aspects of Agricultural and Environmental Sciences, the interactions between cropping systems and sustainable development. Multidisciplinary articles that bridge agronomy with ecology, environmental and social sciences are also welcome.
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