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胚乳性状的遗传模型及其分析方法 被引量:61

A Genetic Model and Analysis Methods for Endosperm Traits
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摘要 提出分析谷类作物胚乳数量性状世代平均数的遗传模型.该模型把控制胚乳性状的总遗传效应G分解为胚乳直接效应G.、细胞质效应C和母体植株效应G_(mo)而G_o又可分解为直接加性(A)和直接显性(D)遗传分量,G_m则可分解为母体加性(A_m)和母体显性(D_m)遗传分量.用MINQUE(0/l)法可以无偏地估算该模型中的直接遗传方差分量σ_A^2和σ_D^2细胞质遗传方差σ_c^2及母体植株的遗传方差分量σ_(Am)~2和σ_(Dm)~2,也可估算胚乳基因与母体植株基因的遗传协方差分量σ_(A.Am)和σ_(D.Dm).成对性状的遗传协方差分量同样可用MINQUE(0/1)法估算.该模型中的随机遗传效应则可用MINQUE(0/1)法作调整无偏预测.由于遗传变异是从若干组合的不同世代间估计,因而有关胚乳数量性状的测定可以整个世代的籽粒为样本. A Genetic model is proposed for analyzing generation means of endosperm quantitative traits in cereal crops. The total genetic effect (G) of endosperm quantitative traits is partitioned into endosperm direct genetic effect(Go),cytoplasm genetic effect (C) ,and maternal plant genetic effect (Gm). Endosperm direct genetic effect can be further partitioned into direct additive(A) and direct dominance (D) genetic components. Maternal plant genetic effect (Gm)can also be partitioned into maternal additive (Am) and maternal dominance (Dm) genetic components. MINQUE (0/1) method can be used for estimating endosperm direct genetic variance components (σ2A and σ2D ), cytoplasm genetic variance (σ2C) and maternal plant genetic variance components (σ2Am and σ2Dm). Genetic covariance components between endosperm genes and maternal plant genes(σA.Am and σD. Dm) are estimable. Unbiased estimation for covariance components between two traits can also be obtained by the MINQUE(0/1)method. The random genetic effects in the model are able to be predicted by the Adjusted Unbiased Prediction (AUP) approach with MINQUE (0/1) method. Since genetic variation is analyzed for different generations in several crosses,only sam-pled seeds (neither individual seed nor seeds of individual plant) from the whole generation are measured for endosperm traits.
作者 朱军 许馥华
机构地区 浙江农业大学
出处 《作物学报》 CAS CSCD 北大核心 1994年第3期264-270,共7页 Acta Agronomica Sinica
基金 国家教委资助项目
关键词 胚乳性状 遗传模型 谷类作物 Endosperm traits, Genetic model, Estimation of genetic variances and co-variances, Prediction of genetic effects
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参考文献7

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