摘要
Genetic models are proposed for analyzing sex-linked and maternal effects as well as autosomal gene effects.For the model with no genotype×environment interaction,the total genetic effect is partitioned into direct additive (A),direct dominance (D),sexlinked (L),maternal additive (Am) and maternal dominance (Dm) genetic components.For the model including genotype×environment interaction (GE),GE can also be partitioned into components of direct additive by environment interaction (AE),direct dominance by environment interaction (DE),sex-linked by environment interaction (LE),maternal additive by environment interaction (AmE ),and maternal dominance by environment interaction (DmE).Linear functions of genetic components are listed for parent,F1,and F2.A set of parents,their reciprocal F1’s and F2’s is applicable for efficient analysis.Variance and covariance components can be well mated by MINQUE(O/l) with the jackknife procedure.The t-test conducted by the jackknife procedure is applicable for detecting significance of variation.Adjusted Unbiased Prediction (AUP) method is suggested for predicting genetic effects.
Genetic models are proposed for analyzing sex-linked and maternal effects as well as autosomal gene effects.For the model with no genotype×environment interaction,the total genetic effect is partitioned into direct additive (A),direct dominance (D),sexlinked (L),maternal additive (Am) and maternal dominance (Dm) genetic components.For the model including genotype×environment interaction (GE),GE can also be partitioned into components of direct additive by environment interaction (AE),direct dominance by environment interaction (DE),sex-linked by environment interaction (LE),maternal additive by environment interaction (AmE ),and maternal dominance by environment interaction (DmE).Linear functions of genetic components are listed for parent,F_1,and F_2.A set of parents,their reciprocal F_1's and F_2's is applicable for efficient analysis.Variance and covariance components can be well mated by MINQUE(O/l) with the jackknife procedure.The t-test conducted by the jackknife procedure is applicable for detecting significance of variation.Adjusted Unbiased Prediction (AUP) method is suggested for predicting genetic effects.
出处
《生物数学学报》
CSCD
北大核心
1994年第4期1-9,共9页
Journal of Biomathematics
基金
国家教委(跨世纪优秀人才计划)基金