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Joint Analysis Method for Major Genes Controlling Multiple Correlated Quantitative Traits

中国农业科学（英文版）2006，Vol.5Issue(3)：179-187,9.

Joint Analysis Method for Major Genes Controlling Multiple Correlated Quantitative Traits

作者信息

1. Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China;Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, P.R. China
折叠

摘要

Abstract

Based on the major gene and polygene mixed inheritance model for multiple correlated quantitative traits, the authors proposed a new joint segregation analysis method of major gene controlling multiple correlated quantitative traits, which include major gene detection and its effect and variation estimation. The effect and variation of major gene are estimated by the maximum likelihood method implemented via expectation-maximization (EM) algorithm. Major gene is tested with the likelihood ratio (LR) test statistic. Extensive simulation studies showed that joint analysis not only increases the statistical power of major gene detection but also improves the precision and accuracy of major gene effect estimates. An example of the plant height and the number of tiller of F2 population in rice cross Duonieai × Zhonghua 11 was used in the illustration. The results indicated that the genetic difference of these two traits in this cross refers to only one pleiotropic major gene. The additive effect and dominance effect of the major gene are estimated as -21.3 and 40.6 cm on plant height, and 22.7 and -25.3 on number of tiller, respectively. The major gene shows overdominance for plant height and close to complete dominance for number of tillers.

关键词

multiple correlated quantitative traits/major gene/joint segregation analysis/maximum likelihood estimation/EM algorithm

Key words

multiple correlated quantitative traits/major gene/joint segregation analysis/maximum likelihood estimation/EM algorithm

分类

农业科技

引用本文复制引用

..Joint Analysis Method for Major Genes Controlling Multiple Correlated Quantitative Traits[J].中国农业科学（英文版）,2006,5(3):179-187,9.

基金项目

This research was supported by the National Natural Science Foundation of China to Xu Chenwu (39900080,30270724 and 30370758). （39900080,30270724 and 30370758）

中国农业科学（英文版）

ISSN：2095-3119

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