湖北农业科学 ›› 2025, Vol. 64 ›› Issue (10): 10-15.doi: 10.14088/j.cnki.issn0439-8114.2025.10.002

• 育种·栽培 • 上一篇    下一篇

52份早熟棉品系农艺性状及产量构成综合评价

闫振华, 黄晓莉, 戴宝生, 张华崇, 赵树琪, 张欣, 李蔚   

  1. 黄冈市农业科学院,湖北 黄冈 438000
  • 收稿日期:2025-03-18 出版日期:2025-10-25 发布日期:2025-11-14
  • 通讯作者: 李 蔚(1967-),男,正高级农艺师,主要从事棉花和小麦栽培及育种研究,(电子信箱)hbhgliwei@126.com。
  • 作者简介:闫振华(1988-),男,山东阳信人,高级农艺师,硕士,主要从事棉花和小麦栽培及育种研究,(电子信箱)hgyzh@qq.com。
  • 基金资助:
    黄冈市青年拔尖人才培养项目; 湖北省棉花科技支撑项目; 湖北省农业科技创新中心资助项目(2021-620-000-001-06); 国家现代农业产业技术体系——棉花产业技术体系项目(CARS-15-39)

Comprehensive evaluation of agronomic traits and yield components of 52 early-maturing cotton lines

YAN Zhen-hua, HUANG Xiao-li, DAI Bao-sheng, ZHANG Hua-chong, ZHAO Shu-qi, ZHANG Xin, LI Wei   

  1. Huanggang Academy of Agricultural Sciences, Huanggang 438000, Hubei, China
  • Received:2025-03-18 Published:2025-10-25 Online:2025-11-14

摘要: 为了筛选出综合性状优良的品系,利用变异性、相关性、主成分和聚类分析等方法,综合评价52份早熟棉品系的10个农艺性状。结果表明,皮棉产量、子棉产量、株高以及单株结铃数均呈现出中等的遗传变异特征,较容易受到环境因素的影响,并展现出较强的可塑性;皮棉产量与株高、衣分、子棉产量呈极显著正相关,与生育期、单株结铃数呈显著正相关。聚类分析可以将材料分为3个类群,第Ⅰ类群由11个品系组成,占全部材料的21.15%;第Ⅱ类群由25个品系组成,占全部材料的48.08%;第Ⅲ类群由16个品系组成,占全部材料的30.77% 。主成分分析提取了4个主成分,累计贡献率为79.06% ;主成分1主要是与产量相关的性状因子,主成分2主要是与成铃相关的因子;主成分3主要是与子棉产量相关的因子;主成分4可以理解为果枝因子。通过综合得分,筛选出10份表现优异的品系,其中品系1表现最优。

关键词: 早熟棉, 品系, 农艺性状, 产量, 综合评价

Abstract: In order to screen lines with superior comprehensive traits, 10 agronomic traits of 52 early-maturing cotton lines were comprehensively evaluated using methods of variability, correlation, principal component, and cluster analysis. The results showed that lint yield, seed cotton yield, plant height, and number of bolls per plant all exhibited moderate genetic variation characteristics, were relatively susceptible to environmental influences, and demonstrated strong plasticity. Lint yield showed a highly significant positive correlation with plant height, lint percentage, and seed cotton yield, and a significant positive correlation with growth period and the number of bolls per plant. Cluster analysis categorized the lines into three groups: Group Ⅰ consisted of 11 lines, accounting for 21.15% of the total materials; Group Ⅱ consisted of 25 lines, accounting for 48.08%; Group Ⅲ consisted of 16 lines, accounting for 30.77%. Principal component analysis extracted four principal components, with a cumulative contribution rate of 79.06%. Principal Component 1 was mainly associated with yield-related traits; Principal Component 2 was primarily related to boll setting factors; Principal Component 3 was chiefly connected to seed cotton yield factors; Principal Component 4 could be understood as the fruit branch factor. Based on comprehensive scores, 10 lines with excellent performance were identified, among which Line 1 performed the best.

Key words: early-maturing cotton, lines, agronomic traits, yield, comprehensive evaluation

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