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Empirical Models of Pigweed (Amaranthus spp.) Interference in Soybean (Glycine max)

机译:杂草(Amaranthus spp。)干扰大豆的实证模型

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摘要

Three empirical crop yield loss models were used to describe the interference of redroot pigweed and Powell amaranth populations with soybean. Data were obtained from field experiments conducted in 1992 and 1993. Pigweed densities of 0 to eight plants m~(-1) were established within the soybean row. Pigweed sowing dates were selected so that weed seedling emergence coincided with VE, VC, and V2 soybean growth stages within the time frame of the critical weed-free period. The model incorporating pigweed density and time of emergence gave the best description of soybean yield loss in comparison to the two relative leaf area models. This model was fit to a combined data set of percent yield loss because parameter estimates did not differ among locations and years. Estimated soybean yield losses decreased from 16.4 to 0.5% with delayed pigweed emergence from 0 to 20 degree days. Leaf area of pigweed relative to soybean encompassed pigweed density and time of emergence. Relationship between relative leaf area and soybean yield loss was best described by the one-parameter model estimating a relative damage coefficient 'q' than the two-parameter model that also estimated maximum expected yield loss. The relative damage coefficient 'q' decreased with later times of leaf area assessment but could be predicted with one leaf area observation. Empirical models that incorporate time of weed emergence represent a step toward improving predictions of yield loss. This is important for the selection of cost-effective weed control strategies. Nomenclature: Powell amaranth, Amaranthus powellii S. Wats. #~3 AMAPO; redroot pigweed, Amaranthus retroflexus L. # AMARE; soybean, Glycine max (L.) Merr. 'Maple Glen' and 'KG 60.'
机译:使用三种经验性农作物产量损失模型来描述红根杂草和鲍威尔a菜种群对大豆的干扰。数据是从1992年和1993年进行的田间试验获得的。在大豆行内建立了0至8株m〜(-1)的杂草密度。选择杂草播种日期,以使杂草幼苗出苗与关键的无杂草时期内的VE,VC和V2大豆生长阶段相吻合。与两个相对叶面积模型相比,包含杂草密度和出苗时间的模型可以最好地描述大豆产量损失。该模型适合于产量损失百分比的组合数据集,因为参数估算在不同地点和年份之间没有差异。估计大豆产量损失从16.4%降低到0.5%,而杂草从0到20度日延迟出现。杂草相对于大豆的叶面积涵盖了杂草密度和出苗时间。相对叶面积与大豆产量损失之间的关系最好通过一参数模型来估计,相对于两参数模型,该参数估计相对损害系数“ q”,后者也可以估算最大预期产量损失。相对损害系数“ q”随着叶面积评估的后期而降低,但可以通过观察一个叶面积来预测。结合杂草萌发时间的经验模型代表了改善产量损失预测的一步。这对于选择具有成本效益的杂草控制策略非常重要。命名法:鲍威尔mar菜,A菜powellii S.Wats。 #〜3 AMAPO;红根杂草,A菜。大豆,Glycine max(L.)Merr。 “枫树格伦”和“ KG 60”。

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