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中国农学通报 ›› 2023, Vol. 39 ›› Issue (6): 35-40.doi: 10.11924/j.issn.1000-6850.casb2022-0308

所属专题: 生物技术 资源与环境 棉花

• 农学·农业基础科学 • 上一篇    下一篇

陆地棉资源主要产量和纤维品质性状的遗传多样性分析研究

贾晓昀(), 赵红霞, 朱继杰, 王国印, 李妙(), 王士杰()   

  1. 河北省农林科学院粮油作物研究所/河北省作物遗传育种实验室,石家庄 050035
  • 收稿日期:2022-04-20 修回日期:2022-08-27 出版日期:2023-02-25 发布日期:2023-02-22
  • 通讯作者: 李妙,女,1964年出生,河北晋州人,研究员,本科,主要从事棉花新品种选育及遗传改良研究。通信地址:050035 河北省石家庄市开发区恒山街162号 河北省农林科学院粮油作物研究所,Tel:0311-87670672,E-mail:limiao2003@sina.com。王士杰,男,1981年出生,河北鹿泉人,副研究员,硕士,主要从事棉花新品种选育及遗传改良研究。通信地址:050035 河北省石家庄市开发区恒山街162号 河北省农林科学院粮油作物研究所,Tel:0311-87670672,E-mail:cottonbreeding@163.com
  • 作者简介:

    贾晓昀,男,1987年出生,河北赤城人,副研究员,博士,主要从事棉花生物技术与育种研究。通信地址:050035 河北省石家庄市开发区恒山街162号 河北省农林科学院粮油作物研究所,Tel:0311-87670672,E-mail:

  • 基金资助:
    河北省现代农业产业技术体系“棉花创新团队建设专项-机采品种选育”(HBCT2018040202); 河北省农林科学院科技创新专项“适机采; 高品质棉花种质创制与新品种培育研究”(2022KJCXZX-LYS-14); 新疆生产建设兵团科技攻关项目“南疆无地膜机采棉种植关键技术研究”(2019DB010)

Upland Cotton Germplasms: Genetic Diversity Analysis of Main Yield and Fiber Quality Traits

JIA Xiaoyun(), ZHAO Hongxia, ZHU Jijie, WANG Guoyin, LI Miao(), WANG Shijie()   

  1. Institution of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035
  • Received:2022-04-20 Revised:2022-08-27 Online:2023-02-25 Published:2023-02-22

摘要:

为了提高棉花种质资源的利用效率、增加骨干亲本的遗传多样性,对114份资源材料进行遗传多样性分析、相关性分析、主成分分析和聚类分析。衣分、单铃重和马克隆值的变异系数较大,整齐度的变异系数最小;子指的遗传多样性指数最大,伸长率的遗传多样性指数最小;主成分分析的前3个因子累计贡献率达到83.91%;单铃重与衣分和子指均为极显著正相关,衣分与子指为极显著负相关,纤维品质性状之间均为正相关关系,子指与纤维品质主要表现为负相关,单铃重和衣分与纤维品质表现为显著的正相关;聚类分析将供试材料分为3个大群,第I大群主要为彩色棉品种;第II大群为纤维品质优异、产量性状一般的材料;第III大群的产量和纤维品质综合表现较好。本研究明确了各类材料的典型特征,为材料的高效利用和亲本选择提供一定参考。

关键词: 陆地棉, 种质资源, 遗传多样性, 相关性分析, 主成分分析, 聚类分析

Abstract:

In order to improve the utilization efficiency of cotton germplasm resources and increase the genetic diversity of backbone parents, genetic diversity analysis, correlation analysis, principal component analysis and cluster analysis were conducted on 114 germplasm materials. The coefficient of variation (CV) of lint percentage, single boll weight and micronaire were relatively large, and the CV of fiber uniformity was the smallest. The genetic diversity index of seed index was the largest, and that of fiber elongation rate was the smallest. The cumulative contribution rate of the first three factors of principal component analysis reached 83.91%. Single boll weight was significantly positively correlated with lint percentage and seed index, lint percentage was significantly negatively correlated with seed index, and fiber quality traits were positively correlated with each other. Seed index was mainly negatively correlated with fiber quality, and single boll weight and lint percentage were significantly positively correlated with fiber quality. The tested materials were divided into 3 groups by cluster analysis. Group I was mainly colored cotton varieties. Group II was materials with excellent fiber quality and common yield characters. Group III showed better comprehensive performance of yield and fiber quality. This study defined typical characteristics of different upland cotton material types, and provided certain reference for the efficient utilization of germplasm materials and the combination of parents.

Key words: upland cotton, germplasms, genetic diversity, correlation analysis, principal component analysis, cluster analysis