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首页> 外文期刊>Acta Agriculturae Scandinavica. Section B, Soil and Plant Science >Analysis of downy mildew data on field pea: an empirical comparison of two logistic models
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Analysis of downy mildew data on field pea: an empirical comparison of two logistic models

机译:豌豆的霜霉病数据分析:两种逻辑模型的经验比较

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In the years 2002-2005, special trials concerning the level of infection of pea varieties by downy mildew were performed in Poland. In these trials, the large number of varieties were tested in many locations (environments), separately on reach and light soils. Obtained trial data are unique because of the large scale of the performed investigations and also for the fact that all the observations were made by the same observer. In a paper, two methods of statistical analysis of such (ordered) data are compared.Several models have been proposed for the statistical interpretation of ordinal data. One of the most popular is the cumulative-type fixed logistic model. In the present work, using two field pea data sets, we considered whether adding random effects to the simple logistic model can improve inference. It was investigated whether there is any difference between the decisions concerning varieties resulting from the simple logistic model and the proposed mixed logistic model. The two models were also compared in terms of goodness of fit. According to two applied goodness-of-fit statistics, the mixed model performed better in all the cases. Statistical analysis (what is important for practical agriculture) enabled identification of the most resistant and the most susceptible variety from the analyzed set of cultivars.
机译:在2002年至2005年期间,在波兰进行了有关豌豆品种被霜霉病感染程度的特别试验。在这些试验中,在许多地方(环境)分别对触角和轻土壤进行了大量品种的测试。获得的试验数据之所以独特,是因为进行了大规模的调查,而且所有观察都是由同一观察者进行的。在一篇论文中,比较了这种(有序)数据的两种统计分析方法。针对序数数据的统计解释提出了几种模型。最受欢迎的一种是累积型固定逻辑模型。在目前的工作中,我们使用两个豌豆数据集,考虑了将随机效应添加到简单逻辑模型是否可以改善推理。研究了由简单逻辑模型和提出的混合逻辑模型得出的关于品种的决策之间是否存在差异。还比较了两个模型的拟合优度。根据两个应用的拟合优度统计,混合模型在所有情况下均表现更好。统计分析(对于实用农业来说很重要)可以从分析的品种中鉴定出最抗病和最易感的品种。

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