基于熵权的DTOPSIS法和灰色局势决策法在玉米品种区域试验中的应用探讨

良种是农业科技的重要载体,农作物品种区域试验是鉴定新品种丰产性、稳产性和适应性的主要途径。首次探索将基于熵权的DTOPSIS法和灰色局势决策法应用于玉米区域试验中,对2018年河南农科联合体的18个品种（含对照品种）进行综合评价。结果表明：两种评价方法对品种评价的排序结果差异不大,只有5个品种排名顺序稍有差异,差异最大的品种排名相差2个名次,其余4个品种仅相差1个名次,灰色局势决策法计算过程相对简单。同时还发现基于熵权的DTOPSIS法和灰色局势决策法在玉米综合评价中存在产量指标权重较低的问题。因此,根据现阶段玉米育种目标和生产实际需求,玉米区域试验品种评价时应采用多种品种评价方法相结合,在确保审定品种产量的基础上,降低品种在实际种植生产过程中的风险。

Discussion on the Application in the Regional Experiment of Maize Varieties by Entropy DTOPSIS Mode and Grey Situation Decision Methods

Improved varieties are the important carriers of agricultural science and technology.Regional trails of crop varieties is the main way to identify the high yield,stable yield and adaptability of new varieties.In this paper,DTOPSIS method and grey situation decision method based on entropy weight were applied to maize regional experiment for the first time.Eighteen varieties(including the CK)of Henan Agricultural Science Complex in 2018 were comprehensively evaluated.The results showed that the ranking order of Ci value and rij value of the two methods were almost the same.Among the 18 varieties,only five varieties had slight difference in ranking order,and the most different variety had a difference of two in ranking,while the other four only had a difference of one rank.However,the evaluated results of two methods were far from the order of yield ranking.It was also found that the two evaluation methods have obvious shortcomings.Therefore,it was suggested that the comprehensive evaluation method of maize varieties in regional trials in current should be mainly based on yield,supplemented by DTOPSIS method and grey situation decision-making method based on entropy.The comprehensive evaluation of various methods could greatly reduce the risk of the approved varieties in the actual planting and production process.