棉花抗旱性基因型的多年多点研究

IF 5.9 1区 农林科学 Q1 AGRONOMY
Jinglin Li , Shaodong Liu , Ruihua Liu , Huijuan Ma , Qian Shen , Siping Zhang , Changwei Ge , Chaoyou Pang
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引用次数: 0

摘要

确定与棉花抗旱性密切相关的农艺性状,以及棉花抗旱性的通用基因型。该实验于2020年至2021年在新疆阿拉尔和甘肃敦煌进行。选取199个棉花基因型,对株高(PH)、铃数(BN)、单铃重(SBW)、衣分(LP)、第一营养枝长(FVSL)、籽棉产量(SCY) 6个农艺性状进行测定和分析。根据各农艺性状抗旱系数(DC)值进行主成分分析(PCA)和相关分析。计算综合干旱系数(CDC)、抗旱综合评价值(D)和权重抗旱系数(WDC)值,并以DC值为自变量,CDC、D和WDC值为因变量进行多元回归分析。根据CDC、D和WDC值进行聚类分析。阿拉尔和敦煌的结果表明,干旱胁迫显著降低了所有6个农艺性状的生长。两样地的差异程度差异较大,说明环境因素影响了农艺性状对干旱胁迫的响应。相关分析表明,两个位点各农艺性状的相关系数均存在显著差异。主成分分析(PCA)表明,PH、SBW和SCY在两个试验点均较为稳定,而LP和FVSL对环境较为敏感。多因素分析表明,与CDC和WDC值相比,D值客观反映了不同农艺性状对抗旱性的贡献,6个农艺性状的方程系数在两个站点之间差异显著。聚类分析将199个棉花基因型分为高抗旱性、抗旱性、干旱敏感性和高抗旱性4个群体,并在两个站点进行不同的配置。大多数基因型在两个站点间抗旱性差异显著,只有UC016、UC032、UC067、UC073、UC135、UC154和UC173 7个基因型表现出一致和普遍的抗旱性。其中,UC067、UC154和UC173产量较高,可作为高产抗旱基因型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drought resistance cotton genotypes evaluation with multi-year & multi-site study
To determine the agronomic traits closely related to the drought resistance of cotton, and the universal genotypes for drought resistance in cotton. The experiment was conducted in Alaer, Xinjiang Uygur Autonomous and Dunhuang, Gansu Province between 2020 and 2021. 199 cotton genotypes were selected, six agronomic traits: plant height (PH), boll number (BN), single boll weight (SBW), lint percentage (LP), first vegetative shoot length (FVSL), seed cotton yield (SCY) were measured and analyzed. Principal component analysis (PCA) and correlation analysis were conducted on the basis of drought resistance coefficient (DC) value of each agronomic trait. The comprehensive drought coefficient (CDC), drought resistance comprehensive evaluation values (D), and weight drought resistance coefficient (WDC) values were then calculated, and multiple regression analysis was performed with the DC value as the independent variable, the CDC, D, and WDC values serving as dependent variables. Cluster analysis was conducted on the basis of the CDC, D, and WDC values. The results from Alaer and Dunhuang indicated, drought stress significantly reduced the growth of all six agronomic traits. The degree of variation between the two sites varied greatly, indicating that environmental factors affected the response of agronomic traits to drought stress. Correlation analysis revealed that there were significant differences in each agronomic trait correlation between the two sites. Principal component analysis (PCA) indicated that PH, SBW and SCY were stable across both sites, but LP and FVSL were sensitive to environment. Multivariate analysis indicated that compared with CDC and WDC values, D value objectively reflects the contribution of different agronomic traits to drought resistance, with significant differences in the equation coefficients of the six agronomic traits between the two sites. Cluster analysis grouped the 199 cotton genotypes into four groups: high drought resistance, drought resistance, drought sensitive and high drought sensitive, with different allocations at the two sites. Most genotypes exhibited significant differences in drought resistance across the two sites, just seven genotypes: UC016, UC032, UC067, UC073, UC135, UC154 and UC173, presented consistent and universal drought resistance. Among these, UC067, UC154, and UC173 presented relatively high yields and could be used as high-yield and high-drought resistant genotypes.
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
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