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综合性状及其分量的多元条件分析

Multivariable Conditional Analysis for Complex Trait and Its Components

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提出基于混合线性模型的多元条件分析方法,用于分析复杂综合性状的分量对其目标性状的贡献.定义了贡献率和贡献遗传效应两个概念,贡献率测定给定分量性状的遗传变异对目标性状的贡献比率,贡献遗传效应衡量给定分量性状的遗传效应对目标性状的贡献值.运用所提出的新方法分析了棉花籽棉产量的3个分量对产量的贡献.
Methods of multivariable conditional analysis were proposed for analyzing contribution of component traits to complex target trait based on mixed linear model approaches.The contribution ratio and the contributed genetic effect were defined.The contribution ratio could measure the proportion of genetic variation of the given component trait on the target trait.The contributed genetic effect could quantify genetic effect of the given component traits contributed to the target trait.A worked example from the cotton data is given to illustrate the application of the new methods for analyzing the contribution of three yield components to lint yield.

conditional genetic variance componentsconditional genetic effectscontribution ratio,contributed genetic effectcomplex traits

温永仙、朱军

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浙江大学农学系,杭州,310029

福建农林大学计算机与信息科学学院,福州,350002

条件方差分量 条件遗传效应 贡献率 贡献遗传效应 产量性状

国家自然科学基金

39970473

2005

遗传学报
中国遗传学会 中国科学院遗传与发育生物学研究所

遗传学报

CSCD北大核心
影响因子:0.821
ISSN:1673-8527
年,卷(期):2005.32(3)
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