Hammond R B, Higley L G, Pedigo L P, Bledsoe L, Spomer S M, DeGooyer T A
Department of Entomology, Ohio Agricultural Reseach & Development Center, The Ohio State University, Wooster 44691, USA.
J Econ Entomol. 2000 Oct;93(5):1429-36. doi: 10.1603/0022-0493-93.5.1429.
An ongoing change in soybean production gaining popularity in the United States is a reduction in row spacing. Plant canopy closure is quicker and leaf area index is greater, thus yield is usually higher. Because yield response to insect defoliation is primarily a function of how defoliation causes changes in light interception, the possibility exists that the insect-injury-yield-loss relationship might differ among row widths. Soybean was grown in four states using similar methodologies. Insect defoliation was simulated by picking leaflets based on an insect defoliation model. Plant growth measurements were taken immediately following the end of defoliation. Numerous independent variables were measured or calculated, including percentage light interception, leaf area index, percentage defoliation, and leaf area per plot. Analyses of covariance were conducted on the resultant data to determine whether insect-injury-yield-loss relationships interact with row width. A significant interaction would indicate that the impact of the variables on yield was dependent on the row width, whereas a nonsignificant interaction would suggest that the relationship between the variables and yield is similar at all row widths. Few significant interactions were obtained, indicating that the impact of the variables on yield is similar across row widths. Because of the lack of significant interactions, the insect-injury-yield-loss relationships previously developed should be usable across varying row widths. Thus, treatment decisions based on light interception and leaf area indices, both considered more appropriated measures of insect injury, should be applicable for all row spacings.
在美国,大豆生产中一项越来越流行的持续变化是缩小行距。植株冠层闭合更快,叶面积指数更大,因此产量通常更高。由于产量对昆虫食叶的响应主要取决于食叶如何导致光截获的变化,所以不同行距下昆虫伤害与产量损失之间的关系可能存在差异。在美国四个州采用类似方法种植大豆。根据昆虫食叶模型采摘小叶来模拟昆虫食叶。在食叶结束后立即进行植株生长测量。测量或计算了许多自变量,包括光截获百分比、叶面积指数、食叶百分比和每块地的叶面积。对所得数据进行协方差分析,以确定昆虫伤害与产量损失之间的关系是否与行距相互作用。显著的相互作用表明这些变量对产量的影响取决于行距,而不显著的相互作用则表明这些变量与产量之间的关系在所有行距下都相似。几乎没有得到显著的相互作用,这表明这些变量对产量的影响在不同行距下是相似的。由于缺乏显著的相互作用,以前建立的昆虫伤害与产量损失之间的关系应该适用于不同的行距。因此,基于光截获和叶面积指数的处理决策(这两者都被认为是更合适的昆虫伤害度量)应该适用于所有行距。