灰色关联度分析法在小麦品种(系)筛选试验中的应用  

Application of Gray Relational Degree Analysis in Wheat Varieties(Lines)Screening

作　　者：张慧敏 常鸿杰 王二伟 耿若飞 王春英 贾真真 ZHANG Hui-min;CHANG Hong-jie;WANG Er-wei(Pingdingshan Academy of Agricultural Sciences,Pingdingshan,Henan 467000)

机构地区：[1]平顶山市农业科学院,河南平顶山467000

出　　处：《安徽农业科学》2021年第21期36-38,共3页Journal of Anhui Agricultural Sciences

基　　金：农业基础性长期性科技工作国家作物种质资源数据中心观测监测任务项目(ZX01S1714)。

摘　　要：[目的]科学合理地筛选出适宜当地种植的品种(系)。[方法]利用2019—2020年度国家种质资源观测数据,对10个品种(系)的8个性状进行灰色关联度分析。[结果]加权关联系数最高的3个品种依次为平麦189、秋乐2122和平麦998,这3个品种的综合性状最优,与田间表现一致。[结论]灰色关联分析法可以有效地应用于小麦品种(系)的筛选,平麦189、秋乐2122和平麦998适宜在平顶山地区种植。[Objective]To scientifically and rationally screen out the varieties(lines)suitable for local planting.[Method]Using the data of national germplasm resources in 2019-2020,eight characters of ten cultivars(lines)were analyzed by grey correlation degree.[Result]Three varieties with the highest correlation coefficient were in the order of Pingmai 189,Qiule 2122 and Pingmai 998,the three varieties had the best comprehensive traits and were consistent with the field performance.[Conclusion]Grey correlation analysis could be used effectively in wheat varieties(lines)screening,Pingmai 189,Qiule 2122 and Pingmai 998 were suitable for Pingdingshan area.

关 键 词：小麦 灰色关联度分析 综合性状 

分 类 号：S512.1[农业科学—作物学]