浙江农业科学 ›› 2024, Vol. 65 ›› Issue (6): 1316-1319.DOI: 10.16178/j.issn.0528-9017.20230184

• 粮食作物 • 上一篇    下一篇

小麦种质资源农艺性状的相关及聚类分析

蔡金华()   

  1. 泰兴市张桥镇综合服务中心,江苏 泰兴 225400
  • 收稿日期:2023-06-18 出版日期:2024-06-11 发布日期:2024-06-20
  • 作者简介:蔡金华(1990—),男,江苏海门人,农艺师,主要从事作物新品种推广与遗传育种工作,E-mail:jshmcjh@163.com
  • 基金资助:
    国家重点研发计划“七大农作物育种”重点专项(2017YFD0100800)

Correlation and cluster analysis of agronomic traits of wheat germplasm resources

CAI Jinhua()   

  1. Zhangqiao Town Comprehensive Service Center of Taixing City, Taixing 225400, Jiangsu
  • Received:2023-06-18 Online:2024-06-11 Published:2024-06-20

摘要:

研究小麦种质资源农艺性状,可为小麦亲本选配和杂种后代选择、小麦种质资源创新和新品种选育提供参考。该试验利用35份小麦种质材料,对其8个农艺性状进行相关分析、通径分析及聚类分析。研究表明,成穗率的变异系数最大,其他性状由高到低依次是株高、穗粒数、千粒重、有效穗、穗粒重、产量、生育期。穗粒数和穗粒重与产量呈显著正相关。通过通径分析,发现有效穗、株高、穗粒数、千粒重对小麦种质资源农艺性状呈正向贡献。从产量构成因素看,提高有效穗、穗粒重和千粒重能提高产量。欧氏距离为80可将35份种质材料分为4类。本研究表明,这些小麦种质资源变异类型丰富,可以根据性状间的相关性进行选择。

关键词: 小麦, 种质资源, 农艺性状, 相关分析, 聚类分析

Abstract:

The study of agronomic traits of wheat germplasm resources can provide a reference for wheat parental selection and hybrid offspring selection, wheat germplasm resource innovation and new variety breeding. In this paper, 35 wheat germplasm materials were used to analyze the correlation, path and cluster analysis of 8 agronomic traits. The results showed that the coefficient of variation of spike formation rate was the largest, and the other traits from high to low were plant height, grain number per spike, 1 000-grain weight, effective spike, grain weight per spike, yield and growth period. There was a significant positive correlation between grain number and grain weight per panicle and yield. Through path analysis, it was found that effective panicle, plant height, grain number per spike and 1 000-grain weight had a positive contribution to the agronomic traits of wheat germplasm resources. From the perspective of yield components, increasing the effective panicle, grain weight per spike and 1 000-grain weight can increase the yield. With a Euclidean distance of 80, 35 germplasm materials can be divided into 4 categories. This study showed that these wheat germplasm resources were rich in variation types, and they could be selected according to the correlation between traits.

Key words: wheat, germplasm resources, agronomic traits, correlation analysis, cluster analysis

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