改进熵权法在作物区域试验中的应用分析——以小麦为例

作物区域试验的目的就是要鉴定作物新品种（系）的生产潜力、稳产性及区域适应性,田间调查和室内考种的项目繁多,但试验结果往往是对参试品系产量进行排名,其他性状进行描述,缺乏一种能代表品系综合性状表现的总成绩。本研究把熵权法引入小麦区域试验,建立了小麦综合表现的评价指标体系,包括目标层,准则层和指标层,其中目标层为参试材料综合性状表现,准则层包括田间记载性状、籽粒性状和产量性状,指标层有16个指标构成。通过计算各指标权重值和转化值,进而计算出各指标的分数值,分数值代表了一个品系在区域试验中的综合表现,可用于参试品种（系）间的比较。研究结果表明熵权法引入小麦区域试验,对参试品种（系）的评价是客观的。

Application Analysis of Entropy Weight Method in Regional Tests of Crops: Taking Wheat as an Example

The aim of the crop regional test is to identify the production potential, stable yield and regional adaptability of new varieties (or strains). Though the field investigations and indoor plant laboratory tests are numerous, the conclusions are always to rank the yield and describe other characters, lacking an overall score representing the comprehensive character performance of the strains. This study introduced the entropy weight method of wheat regional test, and set up a comprehensive performance evaluation index system of wheat, including the target layer, criterion layer and index layer. And the target layer is the comprehensive character expression of the tested materials. The criterion layer includes field recorded characters, grain characters and yield characters, and the index layer is composed of 16 indexes. By calculating the weight value and transformation value of each index, the score value of each index could be obtained. The score value represents the comprehensive performance of a strain in the regional test, which could be used for the comparison of varieties (strains). Thus, the entropy weight method can be an objective evaluation method in the regional test of crops.