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PIM (Poppy Integrated Management): a bio-economic decision support model for the management of Papaver rhoeas in rain-fed cropping systems

机译:PIM(罂粟综合管理):一种在雨养作物系统中管理罂粟的生物经济决策支持模型

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摘要

T orra J, C irujeda A, R ecasens J, T aberner A & P owles SB (2010). PIM (Poppy Integrated Management): a bio-economic decision support model for the management of Papaver rhoeas in rain-fed cropping systems. Weed Research50, 127-139. A bio-economic model for Papaver rhoeas designed for dry-land cropping systems in Spain was developed. The model included four seed bank layers to simulate seed movement in the soil profile resulting from tillage, with different emergence rates and seed bank mortalities depending on soil cultivation and burial depth. Users of Poppy Integrated Management (PIM) might specify the crop sequence and any feasible combination of 38 different weed management practices (herbicide and non-herbicide options) each year over 10 or 20 years. Weed treatment options included selective herbicides (14), non-selective herbicides (1), non-herbicide treatments (11) and user-defined treatments (1). PIM represented weed and seed bank population dynamics, weed-crop competition, weed treatment impacts, agronomic practices and financial details. The bio-economic model could be used to evaluate weed management scenarios by investigating the implications of different tillage, fallow and cereal rotational sequences and of constraints on herbicide availability. Model validation combined available data from literature with our own data, to show that PIM was sufficiently accurate for predicting P. rhoeas population dynamics. Sensitivity analyses indicated that economics associated with fuel, fertiliser and seed costs, as well as grain yield and price, were primary drivers of management decisions, whereas seedling emergence and initial seed bank size were of secondary importance.
机译:托拉(Torra J),西里耶达(Cirujeda A),拉卡斯纳(R ecasens J),塔伯纳(Tabnerner)和普勒斯(Powles SB)(2010) PIM(罂粟综合管理):一种在雨养作物系统中管理罂粟的生物经济决策支持模型。杂草研究50,127-139。针对西班牙旱地种植系统开发了罂粟的生物经济模型。该模型包括四个种子库层,以模拟耕作导致土壤剖面中种子的运动,其出苗率和种子库死亡率取决于土壤耕种和埋葬深度。罂粟综合管理(PIM)的用户可以在10或20年内每年指定作物序列以及38种不同杂草管理实践(除草剂和非除草剂选择)的任何可行组合。杂草处理选择包括选择性除草剂(14),非选择性除草剂(1),非除草剂处理(11)和用户定义的处理(1)。 PIM代表了杂草和种子库种群动态,杂草作物竞争,杂草处理影响,农艺实践和财务细节。通过调查不同耕作,休耕和谷物轮作顺序的影响以及除草剂可利用性的制约因素,该生物经济模型可用于评估杂草治理方案。模型验证将文献中的可用数据与我们自己的数据相结合,以显示PIM足够准确地预测了非洲假单胞菌的种群动态。敏感性分析表明,与燃料,肥料和种子成本以及谷物产量和价格相关的经济学是管理决策的主要驱动力,而幼苗出苗和初始种子库大小则次要。

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