Generalizing the use of the canonical transformation for the solution of multivariate mixed model equations

被引：17

作者：

Ducrocq, V ^{[1
]}

Chapuis, H ^{[1
]}

机构：

[1] BETINA SELECT,F-56250 ELVEN,FRANCE

来源：

GENETICS SELECTION EVOLUTION | 1997年 / 29卷 / 03期

关键词：

genetic evaluation; mixed model; computing algorithm; multiple trait; animal model;

D O I：

10.1051/gse:19970207

中图分类号：

S8 [畜牧、动物医学、狩猎、蚕、蜂];

学科分类号：

0905 ;

摘要：

The canonical transformation converts t correlated traits into t phenotypically and genetically independent traits. Its application to multiple trait BLUP genetic evaluations decreases computing requirements, increases the convergence rate of iterative solvers and simplifies programming. This paper presents alternative ways to retain, at least partly, these desirable characteristics in situations where the canonical transformation is theoretically impossible: when some traits are missing in some animals (including when a reduced animal model is used), when more than one random effect is included in the model and when different traits are described by different models.

引用

页码：205 / 224

页数：20

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