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基于环境互作的加性-显性-加加上位性模型的多环境指数选择(英文) 被引量:1

Index Selection in Multi-environments Based on an Additive-dominance and Additive×Additive Model with Environment Interaction
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摘要 适应性和稳定性是优良品种所必须具备的基本条件。在多个环境下对多个性状进行选择一直是一个悬而未决的难题。基于加性-显性-加加互作以及它们和环境互作的遗传模型,本文提出了两类选择指数:普通选择指数和考虑基因型与环境互作的选择指数(环境互作选择指数)。其中普通选择指数可用于具有广泛适应性品种的选择,环境互作选择指数则可用于具有特定环境适应性的基因型的选择。对于自花授粉作物,本文提出了两类育种值,即普通育种值和基因型与环境互作育种值。其中,普通育种值包括上位性效应和加加上位性效应,基因型与环境互作育种值包括加性、加加上位性与环境的互作效应。应用混合线性模型估算选择指数构建中涉及的方差-协方差分量。以一组陆地棉双列杂交设计试验作为实例,演示了所提出的选择指数的构建过程。本文提出的指数选择方法可望为多环境下多个性状同步选择提供一条有效的途径。 Adaptability and stability are very important characteristics of elite cultivars. Selection upon multiple traits in various environments is a pendent item. Based on an additive, dominance and additive x additive (AA) model with environment interaction, two types of selection indices, general index and index involving in genotype by environment interaction (GE interaction index) were developed. The general selection index can be utilized for selecting cultivars with a wide adaptation potential, while the GE interaction selection index can be adopted to select lines that are adapted to specific environments. For self-fertilizing crops, two kinds of breeding values, general breeding value and breeding value related to genotype by environment interaction (GE interaction breeding value) were proposed. The first one consists of AA epistatic effects in addition to additive effect. The second is comprised of effects of additive x environment interaction and AA x environment interaction. Mixed linear model approaches were employed to estimate variance-covariance components of traits involved in the selection index. Data from a diallel cross of Gossypium hirsutum L. were analyzed as a working example for the construction of selection indices by using the newly developed methodology.
出处 《棉花学报》 CSCD 北大核心 2010年第1期89-96,F0003,共9页 Cotton Science
基金 Supported by the National Basic Research Program of China (973) (2006CB101708) National Science and Technology Supporting Item (2006BAD10A00)
关键词 棉花 指数选择 加性-显性-加加上位性模型 基因型与环境互作 混合线性模型 cotton index selection additive-dominance-epistasis model genotype by environment interaction mixed linear model approach
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