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中国农学通报 ›› 2016, Vol. 32 ›› Issue (3): 108-114.doi: 10.11924/j.issn.1000-6850.casb15080017

所属专题: 生物技术 棉花

• 生物技术科学 • 上一篇    下一篇

陆地棉染色体片段代换系及F1皮棉产量与产量构成因素的相关和通径分析

黎波涛,石玉真,龚举武,李俊文,刘爱英,王涛,商海红,巩万奎,陈婷婷,葛 群,王永波,贾 琳,胡玉枢,袁有禄   

  1. 中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,中国农业科学院棉花研究所/棉花生物学国家重点实验室,常德市农业科学研究所,辽宁省经济作物研究所,中国农业科学院棉花研究所/棉花生物学国家重点实验室
  • 收稿日期:2015-08-04 修回日期:2015-09-21 接受日期:2015-10-22 出版日期:2016-01-29 发布日期:2016-01-29
  • 通讯作者: 袁有禄
  • 基金资助:
    国家自然科学基金“棉花陆海渐渗系的评价鉴定及纤维品质性状遗传分析”(31101188);国家863 计划项目“高产优质多抗棉花分子育种与品种创制”(2012AA101108);国家973 计划项目“棉花纤维品质功能基因组研究及优质高产新品种的分子改良”(2010CB126006);中央级公益性科研院所基本科研业务费专项重点项目“棉花陆海染色体片段代换系的评价及纤维品质遗传分析”(SJA1203)。

Correlation and Path Analyses of Lint Yield and Yield Components of Cotton Chromosome Segment Substitution Lines and F1

  • Received:2015-08-04 Revised:2015-09-21 Accepted:2015-10-22 Online:2016-01-29 Published:2016-01-29

摘要: 探讨棉花染色体片段代换系皮棉产量与产量构成因素之间的相关关系,明确其产量育种的主攻方向,以1套陆地棉染色体片段代换系及F1为材料,采用相关与通径分析的方法,对5种环境条件下代换系亲本及F1的皮棉产量与产量构成因素进行分析。结果表明,产量构成因素的变异系数以铃数最大,铃重次之,衣分最小,且F1产量构成因素的变异系数在所有环境下均比代换系亲本要小。铃数、衣分及铃重与皮棉产量均呈正相关,除个别环境外均达到显著性水平,其与皮棉产量的相关和偏相关系数在代换系亲本中以铃数最大,而F1中则以衣分最大。衣分,铃数与皮棉产量的相关程度受环境影响小,而铃重受环境影响较大。除1种环境外,代换系亲本的直接通径系数以铃数最大,衣分次之,铃重最小,而F1中则以衣分最大,铃数次之,铃重最小;代换系亲本中各因素的间接通径系数均为正值,而F1中铃数与铃重相互之间的间接通径系数均为负值。材料类型和环境条件不同,其产量构成因素与皮棉产量的相关程度及贡献大小也存在较大差异。代换系亲本产量育种的主攻目标前期应该重在衣分,后期重在铃数,而F1则始终以提高衣分为主。

关键词: 哈尼族, 哈尼族, 农业生物资源, 传统知识, 调查

Abstract: In order to study the relations among lint yield and yield components in cotton chromosome segment substitution lines (CSSLs) and clarify the main direction of yield breeding of cotton, a set of CSSLs and its F1 have been used to analysis the relations among lint yield and yield components using the correlation and path analysis in five environments. The results showed that the coefficient of variation of boll number among yield components was the largest, and followed by lint percentage and boll weight, respectively. Compared to CSSLs, the coefficient of variation of yield components in F1 was smaller in all environments. Lint yield exhibited positive and significant correlations with boll weight, lint percentage and boll number except for a few environments. The coefficients of simple correlation and partial correlation of boll number in CSSLs were the largest, but the coefficients of lint percentage in F1 were the largest. Compared to lint percentage and boll number, the relation between boll weight and lint yield was controlled significantly by environment. Path analysis illustrated that the boll number in CSSLs had the highest positive direct effect on lint yield, followed by lint percentage and boll weight, but the lint percentage in F1 had the highest positive direct effect on lint yield, followed by boll number and boll weight except for one environment. The indirect effects of yield components on lint yield in CSSLs were positive, but the indirect effects of boll number via boll weight and boll weight via boll number on lint yield in F1 were negative. The results indicated that the relations between lint yield and yield components, and the effects of yield components on lint yield were significantly controlled by the type of materials and environment. Based on the results of this study, the main direction of cotton yield breeding using CSSLs was to improve lint percentage at the early stage and boll number at the later stage, and For F1, the main direction of yield breeding was to improve lint percentage.