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首页> 外文期刊>Journal of the American Society for Horticultural Science >Heritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach: I. An analysis of several reproductive traits.
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Heritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach: I. An analysis of several reproductive traits.

机译:桃的遗传力,遗传和表型相关性,以及预测的数量性状的选择响应:I.对几种生殖性状的分析。

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摘要

Seedlings of 108 families from crosses among 42 peach (Prunus persica) cultivars and selections were evaluated for 6 plant characteristics in 1993, 1994 and 1995. The data were analyzed by using a mixed linear model, with years treated as fixed, andadditive genotypes as random factors. Best linear unbiased prediction (BLUP) was used to estimate fixed effects. Restricted maximum likelihood (REML) was used to estimate variance components, and a multiple trait model was used to estimate genetic and phenotypic covariances among traits. The narrow-sense heritability estimates were 0.41, 0.29, 0.48, 0.47, 0.43 and 0.23 for flower density, flowersode, node density, fruit density, fruit set, and blind node propensity, respectively. Most genetic correlations among pairs of traits were >=0.30, and were generally much higher than the corresponding phenotypic correlations. The combinations which had the highest genetic correlation estimates were flower density and flowersode (ra = 0.95), fruit density and fruit set (ra = 0.84) and flower density and fruit density (ra = 0.71). Direct selection practiced solely for flower density (either direction) is expected to have a greater effect on fruit density than direct selection for fruit density.
机译:在1993、1994和1995年,对42个桃(Prunus persica)品种和选育的108个科的幼苗进行了6种植物性状的评估。采用混合线性模型对数据进行了分析,以年为固定年,加成基因型为随机因素。最佳线性无偏预测(BLUP)用于估计固定效果。限制性最大似然(REML)用于估计方差成分,多性状模型用于估计性状之间的遗传和表型协方差。对于花密度,花/节,节密度,果实密度,结实和盲结倾向,狭义遗传力估计分别为0.41、0.29、0.48、0.47、0.43和0.23。性状对之间的大多数遗传相关性均> = 0.30,并且通常远高于相应的表型相关性。遗传相关性估计最高的组合为:花密度和花/节(ra = 0.95),果实密度和坐果(ra = 0.84)以及花密度和果实密度(ra = 0.71)。预期仅针对花密度(任一方向)进行的直接选择对水果密度的影响要大于直接选择对水果密度的影响。

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