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Assessing broomrape risk due to weeds in cropping systems with an indicator linked to a simulation model

机译:评估与模拟模型相关的指标,评估作物系统中杂草引起的扫帚风险

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摘要

Integrated crop protection tolerates residual weed floras if they are not harmful for crop production. These weeds can host harmful crop pests, among which parasitic plants such as branched broomrape (Phelipanche ramosa). This holoparasite is responsible for large yield losses in French crops such as oilseed rape. To date, there are no herbicides available to control it. To evaluate ex ante the impact of crop management practices on weed mediated parasite infection of crops, we developed an indicator calculated from outputs of the weed dynamics model FLORSYS. It consists of three components assessing weed impact on (1) stimulation of parasite germination during the whole cropping season, i.e. the potential risk reduction for future crops via a reduction of the parasite seed bank, (2) the stimulation of parasite germination in host crops, i.e. the potential risk increase for the current crop, (3) parasite reproduction on weed plants, i.e. the potential risk increase for future crops. This indicator was then used to predict weed-mediated broomrape risk in cropping systems from six regions from France and one from Spain. Antagonisms and synergies with other indicators of weed-harmfulness for crop production and weed contribution to plant and functional biodiversity were investigated with Pearson correlation analyses. For instance, cropping systems with a high parasite risk also had a high functional biodiversity (e.g. weed-based food offer for bees). Effects of crop management practices on the weed-mediated parasite risk indicator were identified with linear models; regression trees were used to identify the combinations of management practices that maximised or minimised weed-mediated broomrape risk. Parasite risk depended on crop rotation, sowing and harvest dates, tillage, herbicides and mechanical weeding. The lowest risk was observed in fields that were last tilled less than 21 days before sowing, with more than 0.6 herbicides per year (i.e. 3 applications in 5 years) with multiple entry modes into the weeds (e.g. leaves and roots) and the last herbicide sprayed no later than 127 days before harvest. RLQ analyses were used to identify correlations between weed species traits (Q matrix) and simulated parasite risk (R matrix), via simulated weed densities (L matrix). Early summer-emerging weed species increased parasite risk. No other notable correlations were found, indicating that parasite risk results from a weed community of interacting species, and not simply from individual weed species. An advice table was built to summarize and explain the effects of crop management practices on weed-mediated parasite risk.
机译:如果对作物生产无害,则集成的作物保护措施可以耐受残留的杂草植物区系。这些杂草可以寄居有害的农作物害虫,其中包括寄生植物,如分支的room帚(Phelipanche ramosa)。这种全寄生虫是法国油菜等农作物大量减产的原因。迄今为止,尚无可用于控制它的除草剂。为了评估作物管理实践对杂草介导的作物寄生虫感染的事前影响,我们开发了根据杂草动力学模型FLORSYS的输出计算的指标。它包括评估杂草对以下方面的影响的三个组成部分:(1)在整个种植季节刺激寄生虫发芽,即通过减少寄生虫种子库减少未来作物的潜在风险;(2)刺激寄主作物中的寄生虫发芽,即当前作物的潜在风险增加,(3)杂草植物上的寄生虫繁殖,即未来作物的潜在风险增加。然后,该指标用于预测法国六个地区和西班牙一个地区的农作物系统中杂草介导的扫帚风险。利用Pearson相关分析,研究了杂草危害作物的其他指标的拮抗作用和协同作用,以及杂草对植物和功能性生物多样性的贡献。例如,具有高寄生虫风险的农作物系统也具有较高的功能生物多样性(例如,以杂草为基础的蜜蜂食品)。线性模型确定了作物管理措施对杂草介导的寄生虫风险指标的影响。回归树用于确定使杂草介导的扫帚风险最大化或最小化的管理措施的组合。寄生虫风险取决于作物轮作,播种和收获日期,耕作,除草剂和机械除草。在最后播种不到21天的田地中观察到最低的风险,每年使用0.6种以上的除草剂(即5年内施用3种),杂草(例如叶和根)有多种进入方式,最后一种除草剂收获前不迟于127天喷洒。 RLQ分析用于通过模拟杂草密度(L矩阵)来识别杂草物种性状(Q矩阵)与模拟寄生虫风险(R矩阵)之间的相关性。夏季初出现的杂草物种增加了寄生虫的风险。没有发现其他显着的相关性,表明寄生虫风险是由相互作用物种的杂草群落引起的,而不仅仅是单个杂草物种引起的。建立了一个建议表,以总结和解释作物管理实践对杂草介导的寄生虫风险的影响。

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