Genetic contribution and decision-making coefficients analysis of agronomic components of upland cotton in Southern Xinjiang to yield traits

IF 1.6 3区 农林科学 Q2 AGRONOMY
Changxi Li, Yonghu Guan, Zhanpeng Dong, Yongjun Mei
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引用次数: 0

Abstract

This study investigates the genetic contribution and decision-making coefficients of agronomic traits of upland cotton parents, and their F1 crosses to provide a scientific basis for breeders to select and improve certain traits. Therefore, Genetic contribution and decision-making coefficients analysis were conducted on 4 agronomic traits and 4 yield traits of 130 upland cotton varieties (lines) and their 206 F1 crosses using the additive-dominance genetic model and its interaction effect with the environment. The results showed that these traits had rich genetic diversity, and the coefficient of variation (CV) for these eight traits in the parents ranged from 4.68 to 50.83%, while that of the F1 crosses was between 3.96 and 55.87%. The contribution rate of the additive effects of agronomic traits to yield, except for the first fruiting branch position and the lint percentage, was highly significant, ranging from 4 to 100%. Moreover, the additive contribution rate of the five petal boll rate and plant height to boll number and boll weight and the contribution rate of the dominance × environment interaction reached a positive and extremely significant level of more than 0.01. The additive variance, dominance × environment interaction, and residual variance among different models of genetic variation, as well as generalized heritability, significantly contributed to the total phenotypic variation in traits. The contribution of the dominance effect to the total phenotypic variation was highly significant, except for the boll number, and the contribution of the additive × environment interaction effect to the total phenotypic variation was highly significant, except for the lint yield. The main decision-making traits and limiting traits responsible for improving the yield of upland cotton hybrids were identified. The dominance decision-making coefficients of the lint yield, the decision-making coefficients of the dominance × environment interaction, the phenotypic decision-making coefficients, and the genotypic decision-making coefficients played a major role in determining the boll number. The decisive factors influencing boll weight, controlled by the additive effect, were the first fruiting branch position, plant height, and the five petal boll rate. The boll number was the most limiting trait affecting boll weight by influencing dominance decision-making coefficients, decision-making coefficients of the additive × environment interaction, decision-making coefficients of the dominance × environment interaction, phenotypic decision-making coefficients, and genotypic decision-making coefficients. Plant height and five petal boll number were the decision-making traits of lint percentage controlled by additive effects, while lint yield and boll weight were the major limiting traits.

南疆陆地棉农艺成分对产量性状的遗传贡献及决策系数分析
本研究探讨了陆地棉亲本及其 F1 代杂交种农艺性状的遗传贡献率和决策系数,为育种者选择和改良某些性状提供科学依据。因此,利用加性-显性遗传模型及其与环境的交互效应,对 130 个陆地棉品种(系)及其 206 个 F1 杂交种的 4 个农艺性状和 4 个产量性状进行了遗传贡献率和决策系数分析。结果表明,这些性状具有丰富的遗传多样性,这八个性状在亲本中的变异系数(CV)在 4.68% 至 50.83% 之间,而在 F1 杂交种中的变异系数在 3.96% 至 55.87% 之间。除第一果枝位置和皮棉率外,其他农艺性状的加法效应对产量的贡献率非常显著,在 4% 至 100% 之间。此外,五瓣花铃率和株高对花铃数和花铃重的加法贡献率以及优势×环境交互作用的贡献率均达到正值,且极显著,均超过 0.01。不同遗传变异模型之间的加性方差、优势×环境互作和残差以及广义遗传力对性状的总表型变异有显著贡献。除棉铃数外,显性效应对总表型变异的贡献非常显著;除皮棉产量外,加性 × 环境交互效应对总表型变异的贡献非常显著。确定了提高陆地棉杂交种产量的主要决策性状和限制性状。皮棉产量的优势决策系数、优势×环境交互作用的决策系数、表型决策系数和基因型决策系数在决定棉铃数方面发挥了主要作用。在加法效应的控制下,影响花铃重的决定性因素是第一果枝位置、株高和五瓣花铃率。棉铃数是影响棉铃重的最大限制性性状,其影响因素包括显性决策系数、加数×环境互作决策系数、显性×环境互作决策系数、表型决策系数和基因型决策系数。株高和五瓣棉铃数是受加数效应控制的皮棉率决策性状,而皮棉产量和棉铃重则是主要的限制性性状。
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来源期刊
Euphytica
Euphytica 农林科学-农艺学
CiteScore
3.80
自引率
5.30%
发文量
157
审稿时长
4.5 months
期刊介绍: Euphytica is an international journal on theoretical and applied aspects of plant breeding. It publishes critical reviews and papers on the results of original research related to plant breeding. The integration of modern and traditional plant breeding is a growing field of research using transgenic crop plants and/or marker assisted breeding in combination with traditional breeding tools. The content should cover the interests of researchers directly or indirectly involved in plant breeding, at universities, breeding institutes, seed industries, plant biotech companies and industries using plant raw materials, and promote stability, adaptability and sustainability in agriculture and agro-industries.
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