Literature DB >> 24232394

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

Y Yamada1, Y Itoh, I Sugimoto.   

Abstract

Parametric relationships between the genotype x environment interaction and the genetic correlation of the same attribute measured in two different environments are derived. It is shown that the criticism by Fernando et al. (1984) of Yamada's method (1962) in the case of unbalanced data is irrelevant.

Year:  1988        PMID： 24232394     DOI： 10.1007/BF00273671

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


  3 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.  Genotype by environment interactions and genetic correlations involving two environmental factors.

Authors:  E J Eisen; A M Saxton
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

3.  Sire X environment interactions for growth traits of Hereford cattle.

Authors:  M W Tess; K E Jeske; E U Dillard; O W Robison
Journal:  J Anim Sci       Date:  1984-12       Impact factor: 3.159
  3 in total
  4 in total

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

Authors:  Y Itoh; Y Yamada
Journal:  Theor Appl Genet       Date:  1990-07       Impact factor: 5.699

2.  Alternative partitioning of the genotype-by-environment interaction.

Authors:  W Muir; W E Nyquist; S Xu
Journal:  Theor Appl Genet       Date:  1992-06       Impact factor: 5.699

3.  Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials.

Authors:  Pauline Robert; Ellen Goudemand; Jérôme Auzanneau; François-Xavier Oury; Bernard Rolland; Emmanuel Heumez; Sophie Bouchet; Antoine Caillebotte; Tristan Mary-Huard; Jacques Le Gouis; Renaud Rincent
Journal:  Theor Appl Genet       Date:  2022-08-08       Impact factor: 5.574

4.  Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and Poplar.

Authors:  Renaud Rincent; Jean-Paul Charpentier; Patricia Faivre-Rampant; Etienne Paux; Jacques Le Gouis; Catherine Bastien; Vincent Segura
Journal:  G3 (Bethesda)       Date:  2018-12-10       Impact factor: 3.154
  4 in total

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