Genetic worth and stability of selection indices in rice (Oryza sativa L.)

M. Fotokian, K. Agahi
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引用次数: 11

Abstract

Improvement of one trait on its own will affect the performance of other traits because of genotypic correlations between traits. Index selection is one of the tools used by plant breeders to overcome this problem. The purpose of this paper is to evaluate selection indices developed for improving grain yield in rice (Oryza sativa L.). Forty-nine rice genotypes were cultivated at Tonekabon Rice Research Station, Iran, in 2009 and 2010. Selection indices were developed based on phenotypic and genotypic correlations, path coefficients, broad-sense heritability of traits and stepwise multiple linear regression coefficients. Assessment of indices revealed that the stability decreased concurrently with increase in the genetic worth, and hence an inverse association existed between stability and genetic worth of indices. The results also suggested that selection for TP, GW, GP and GL and against PH using their multiple linear regression parameters as economic weights was an effective criterion for improving grain yield in rice genotypes. On the other hand, the most stable indices were those that were developed based on heritability of traits as well as genotypic path coefficients.
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水稻选择指标的遗传价值与稳定性
由于性状间的基因型相关性,一个性状的自身改进会影响其他性状的表现。指数选择是植物育种者用来克服这一问题的工具之一。本文的目的是评价为提高水稻(Oryza sativa L.)产量而开发的选择指标。2009年和2010年在伊朗Tonekabon水稻研究站培育了49种水稻基因型。选择指标基于表型和基因型相关、通径系数、广义遗传力和逐步多元线性回归系数。各指标的稳定性随遗传价值的增加而降低,因此各指标的稳定性与遗传价值呈负相关关系。结果还表明,以TP、GW、GP、GL和PH的多元线性回归参数作为经济权重进行选择是提高水稻基因型产量的有效标准。另一方面,最稳定的指标是基于性状遗传力和基因型通径系数的指标。
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