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首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Analysis of genetic effects of nuclear-cytoplasmic interaction on quantitative traits: Genetic models for seed traits of plants
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Analysis of genetic effects of nuclear-cytoplasmic interaction on quantitative traits: Genetic models for seed traits of plants

机译：核质间相互作用对数量性状的遗传效应分析：植物种子性状的遗传模型

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摘要

Two Genetic models (an embryo model and an endosperm model) were proposed for analyzing genetic effects of nuclear genes, cytoplasmic genes, maternal genes, and nuclear-cytoplasmic interaction (NCI) as well as their genotype by environment interaction for quantitative traits of plant seed. In these models, the NCI effects were partitioned into direct additive and dominance NCI components. Mixed linear model approaches were employed for statistical analysis. For both balanced and unbalanced diallel cross designs, Monte Carlo simulations were conducted to evaluate unbiasedness and precision of estimated variance components of these models. The results showed that the proposed methods work well. Random genetic effects were predicted with an adjusted unbiased prediction method. Seed traits (protein content and oil content) of Upland cotton (Gossypium hirsutum L.) were analyzed as worked examples to demonstrate the use of the models.
机译：提出了两种遗传模型（胚胎模型和胚乳模型）来分析核基因，细胞质基因，母体基因和核-细胞质相互作用（NCI）的遗传效应，以及通过环境相互作用分析它们的基因型，从而定量分析植物种子的性状。 。在这些模型中，NCI效应被分为直接的NCI分量和主导的NCI分量。混合线性模型方法用于统计分析。对于平衡和不平衡的Dialell交叉设计，都进行了Monte Carlo仿真，以评估这些模型的估计方差分量的无偏性和精度。结果表明，所提出的方法行之有效。随机遗传效应通过调整后的无偏预测方法进行预测。以陆地棉（Gossypium hirsutum L.）的种子性状（蛋白质含量和油含量）作为工作实例进行了分析，以证明该模型的使用。

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