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农学学报 ›› 2021, Vol. 11 ›› Issue (11): 11-18.doi: 10.11923/j.issn.2095-4050.cjas2020-0186

所属专题: 资源与环境 棉花

• 农艺科学/生理生化 • 上一篇    下一篇

80份棉花种质资源的育种应用价值评价

李兴河1(), 王海涛1, 刘存敬1, 唐丽媛1, 张素君1, 蔡肖1, 熊永斌2(), 张香云1()   

  1. 1河北省农林科学院棉花研究所/农业农村部黄淮海半干旱区棉花生物学与遗传育种重点实验室/国家棉花改良中心河北分中心,石家庄 050051
    2河北省农林科学院,石家庄 050051
  • 收稿日期:2020-08-26 修回日期:2020-11-26 出版日期:2021-11-20 发布日期:2021-12-09
  • 通讯作者: 熊永斌,张香云 E-mail:xingheli111@126.com;Marrying2006@163.com;jimianzhang@qq.com
  • 作者简介:李兴河,男,1989年出生,山东德州人,助理研究员,硕士研究生,主要从事棉花分子育种研究。通信地址:050051 河北省石家庄市新华区和平西路598号 河北省农林科学院棉花研究所,Tel:0311-87652088,E-mail: xingheli111@126.com
  • 基金资助:
    棉花生物学国家重点实验室开放课题“陆海导入系纤维长度QTLs精细定位与基因挖掘”(CB2021A31);河北省农林科学院创新工程项目(2019-3-7-1,2019-3-7-4);第二师科技攻关项目“适宜机采棉花种质资源创新与新品种(系)选育”(2019NYGG03)

80 Cotton Germplasm Resources: Utilization Value Evaluation

Li Xinghe1(), Wang Haitao1, Liu Cunjing1, Tang Liyuan1, Zhang Sujun1, Cai Xiao1, Xiong Yongbin2(), Zhang Xiangyun1()   

  1. 1Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/Key Laboratory Biology and Genetic Improvement of Cotton in Huanghuaihai Semiarid Area, Ministry of Agriculture/National Cotton Improvement Center Hebei Branch, Shijiazhuang 050051, Hebei, China
    2Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, Hebei, China
  • Received:2020-08-26 Revised:2020-11-26 Online:2021-11-20 Published:2021-12-09
  • Contact: Xiong Yongbin,Zhang Xiangyun E-mail:xingheli111@126.com;Marrying2006@163.com;jimianzhang@qq.com

摘要:

旨在客观、准确评价引种棉花种质资源的应用价值,为棉花新品种培育提供优异亲本,本研究以80份新引进种质资源为材料,以产量、纤维品质、抗病性3方面的10个性状为指标,进行主成分分析和系统聚类分析。结果表明:前4个主成分特征值均大于1,累积贡献率达到76.893%,第1主成分主要与纤维品质有关,第2主成分主要与棉花产量有关,第3主成分主要与抗病性有关,第4主成分主要与纤维伸长率有关。卡方距离为2.15时,供试材料可分为6类,第I、第Ⅱ类群综合性状优良,与主成分分析散点图的第I类群特点相同,均属于相对高产、优质类群。最终,将聚类分析的第I、第Ⅱ类群和主成分分析散点图的第I类群取交集,获得25份高产、优质资源材料,扩充了河北省农林科学院棉花研究所的育种资源圃。

关键词: 棉花, 种质资源, 育种, 性状, 主成分分析, 聚类分析

Abstract:

To objectively and accurately evaluate the utilization value of introduced cotton germplasm resources and provide excellent parents for new cotton varieties breeding, a total of 80 cotton germplasm resources were used in this study. Principal component analysis (PCA) and systematic cluster analysis were carried out based on 10 representative traits relating with yield, fiber quality and disease resistance. The results show that the values of the first four principal component features are all greater than 1, and the cumulative contribution rate reaches 76.893%. The first principal component is corresponding with fiber quality, the second principal component is corresponding with cotton yield, the third principal component is corresponding with disease resistance, and the fourth principal component is corresponding with fiber elongation. The 80 germplasm resources are divided into 6 major groups at the chi-square distance D = 2.15. The comprehensive characters of group I and group II are excellent, which are the same as those of group I in PCA scatter diagram, and they belong to high yield and good quality groups. Finally, 25 high-yield and high-quality resource materials are obtained by aggregating the same results of systematic cluster analysis group I, group II and PCA scatter diagram group I, which can expand breeding resources of the Institute of Cotton of Hebei Academy of Agriculture and Forestry Sciences.

Key words: Cotton, Germplasm Resources, Breeding, Traits, Principal Component Analysis, Systematic Cluster Analysis

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