Literature DB >> 24220804

Relationships between genotype x environment interaction and genetic correlation of the same trait measured in different environments.

Y Itoh1, Y Yamada.   

Abstract

Relationships between genotype x environment interaction and genetic correlation of the same trait measured in different fixed environments are derived by comparing the variance-covariance structures of observations between a one-way multiple-trait linear model and a two-way single-trait mixed linear model. In the latter model, heterogeneity of interaction variances among environments and non-zero covariances among interactions are assumed, in addition to the heterogeneity of error variances and non-zero covariances between genetic-group effects and interactions that were accommodated in earlier work. The results are applicable to more than two environments and to unbalanced data. This paper is a generalization and a correction of earlier works.

Year:  1990        PMID: 24220804     DOI: 10.1007/BF00224009

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  2 in total

1.  On a method of estimating the genetic correlation between characters measured in different experimental units.

Authors:  R L Fernando; S A Knights; D Gianola
Journal:  Theor Appl Genet       Date:  1984-01       Impact factor: 5.699

2.  Parametric relationships between genotype x environment interaction and genetic correlation when two environments are involved.

Authors:  Y Yamada; Y Itoh; I Sugimoto
Journal:  Theor Appl Genet       Date:  1988-12       Impact factor: 5.699

  2 in total
  2 in total

1.  Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments.

Authors:  M Cooper; I H Delacy
Journal:  Theor Appl Genet       Date:  1994-07       Impact factor: 5.699

2.  Mixed effects models for quantitative trait loci mapping with inbred strains.

Authors:  Lara E Bauman; Janet S Sinsheimer; Eric M Sobel; Kenneth Lange
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

  2 in total

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