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首页> 外文期刊>Weed Science >The Stability of Weed Seedling Population Models and Parameters in Eastern Nebraska Corn (Zea mays) and Soybean (Glycine max) Fields
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The Stability of Weed Seedling Population Models and Parameters in Eastern Nebraska Corn (Zea mays) and Soybean (Glycine max) Fields

机译:内布拉斯加州东部玉米(Zea mays)和大豆(Glycine max)田杂草幼苗种群模型和参数的稳定性

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摘要

Intensive field surveys were conducted in eastern Nebraska to determine the frequency distribution model and associated parameters of broadleaf and grass weed seedling populations. The negative binomial distribution consistently fit the data over time (1992 to 1993) and space (fields) for both the inter and intrarow broadleaf and grass weed seedling populations. The other distributions tested (Poisson with zeros, Neyman type A, logarithmic with zeros, and Poisson-binomial) did not fit the data as consistently as the negative binomial distribution. Associated with the negative binomial distribution is a k parameter, k is a nonspatial aggregation parameter related to the variance at a given mean value. The k parameter of the negative binomial distribution was consistent across weed density for individual weed species in a given field except for foxtail spp. populations. Stability of the k parameter across field sites was assessed using the likelihood ratio test There was no stable or common k value across field sites and years for all weed species populations. The lack of stability in k across field sites is of concern, because this parameter is used extensively in the development of parametric sequential sampling procedures. Because k is not stable across field sites, k must be estimated at the time of sampling. Understanding the variability in k is critical to the development of parametric sequential sampling strategies and understanding the dynamics of weed species in the field. Nomenclature: Corn, Zea mays L.; soybean, Glycine max L. Merr.
机译:在内布拉斯加州东部进行了密集的实地调查,以确定阔叶草杂草幼苗种群的频率分布模型和相关参数。二项分布的负值始终一致地拟合了行间和行间阔叶和杂草幼苗种群随时间变化的数据(1992年至1993年)和空间(田地)。测试的其他分布(具有零的Poisson,A型Neyman型,具有零的对数和Poisson二项式)与负二项分布不一样地拟合数据。与负二项式分布相关联的是k参数,k是与给定平均值下的方差相关的非空间聚合参数。负二项分布的k参数在给定田地中除杂草种类以外的杂草密度在杂草密度上是一致的。人口。使用似然比检验评估了田间站点k参数的稳定性。对于所有杂草物种种群,田间站点和年份之间都没有稳定或共同的k值。跨现场站点k缺乏稳定性值得关注,因为该参数在参数顺序采样程序的开发中被广泛使用。由于k在各个现场站点之间都不稳定,因此必须在采样时估算k。了解k的可变性对于参数化顺序采样策略的发展以及了解田间杂草物种的动态至关重要。命名:玉米,玉米。大豆,Glycine max L. Merr。

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