Okra [Abelmoschus esculentus (L.) Moench] F2 分离世代的基因型和表型变异研究

T. Shiri, S. S. Gaurav, S.K. Singh, Sourabh Jain
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引用次数: 0

摘要

背景:秋葵(Abelmoschus esculentus (L.) Moench)的杂交育种对于提高该作物的产量非常重要。鉴于育种者的首要目标是产量,因此了解对产量有直接和间接影响的性状之间的联系至关重要。方法:对通过结构化交配设计与 10 个不同亲本杂交产生的 45 个杂交种进行了评估,以估计其 F2 的遗传变异性和遗传率的大小。计算了 21 个性状在三个重复中的平均表现,并评估了它们对产量的影响。采用主成分和分层聚类的多元分析方法对记录的数据进行了统计分析,显著性水平为 5%。结果对所有分析的性状进行方差分析后发现,不同种群之间的差异非常显著。开花期天数、50%开花期天数和初采期天数的 PCV 和 GCV 估计值差异较大,表明这些性状受环境控制的程度较高。开花期天数、50%开花期天数和初采期天数等性状的遗传率为中低水平。这些发现表明,这些参数的遗传多样性足以支持选育更好的品种。利用聚类分析和主成分分析(PCA),根据杂交种的表现将其分为不同的组,并确定了变异性最大的最具鉴别力的属性。结果表明,单株产量与初采日数、50%开花日数、开花日数、株高和芽长高度相关。此外,主成分显示 1000 粒种子重量和发芽率是最具区分性的性状,其次是 50%开花天数。因此,对任何性状的选择都将有利于未来的杂交种育种计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Genotypic and Phenotypic Variation in F2 Segregating Generation of Okra [Abelmoschus esculentus (L.) Moench]
Background: Hybrid breeding in Okra [Abelmoschus esculentus (L.) Moench] is important to improve productivity of this crop. Given that a breeder’s primary goal is production, it’s critical to understand the connections between the traits that have a direct and indirect impact on yield. Methods: 45 hybrids generated by crossing 10 diverse parents in structured mating design were evaluated to estimate the magnitude of their genetic variability and heritability in F2s. Mean performance across three replications were calculated for 21 traits and is assessed for their effect on yield. The recorded data were statistically analyzed at 5% level of significance by multivariate analysis using principal component and hierarchical cluster. Result: For all of the analyzed traits, the analysis of variance revealed a highly significant difference between population. A greater difference between PCV and GCV estimates for days to anthesis, days to 50% flowering and days to first picking indicates a greater degree of environmental control for these traits. Traits such as days to anthesis, days to 50% flowering and days to first picking shows low to moderate heritability. These findings show that there is enough genetic diversity in these parameters to support selection of better accessions. Using cluster analysis and principal component analysis (PCA), crosses were divided into groups based on their performance and the identification of the most discriminating attribute that accounted for the greatest variability. It revealed that yield per plant is highly associated with days to first picking, days to 50% flowering, days to anthesis, plant height and shoot length. Further, principal component shows 1000-seed weight and germination percentage followed by days to 50% flowering as the most discriminating trait. Hence, selection for any trait would favor future hybrids breeding programmes.
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