The analysis of quantitative trait loci in multi-environment trials using a multiplicative mixed model

被引：34

作者：

Verbyla, AP

Eckermann, PJ

Thompson, R

Cullis, BR

机构：

[1] Univ Adelaide, SARDI, BiometricsSA, Glen Osmond, SA 5064, Australia

[2] Rothamsted Res, Harpenden AL5 2JQ, Herts, England

[3] NSW Agr, Agr Res Inst, Wagga Wagga, NSW 2650, Australia

来源：

AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH | 2003年 / 54卷 / 11-12期

关键词：

factor analytic models; genotype by environment interaction; mixed models; multiplicative mixed models; QTL analysis; regression interval analysis; residual variation;

D O I：

10.1071/AR02239

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

A new approach for multi-environment quantitative trait locus (QTL) analysis based on an appropriate genetic model is presented. To accommodate a multi-environment analysis, the size of a QTL effect is assumed to be a random effect. The approach results in a multiplicative mixed model for QTL x environment interaction of the factor analytic type. The full genetic model may also include a factor analytic model for the residual genotype x environment interaction, whereas the environmental model for the non-genetic variation involves local, global, and extraneous variation. The approach is used to determine QTLs for yield in the Arapiles x Franklin doubled haploid population of the National Barley Molecular Marker Program. Analysis leads to the determination of 8 QTLs. Many of these QTLs are associated with other traits.

引用

页码：1395 / 1408

页数：14

共 36 条

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