Literature DB >> 24258484

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

E J Eisen1, A M Saxton.   

Abstract

The concept of the genetic correlation for one trait across environments was extended to two environmental factors B and C. Three additive genetic correlations for the same trait were defined: rG, across both environmental factors; rG(B), across C and within B; and rG(C), across B and within C. As genotype x environment variances increase, the genetic correlations across environments decrease. These three genetic correlations are biased downward in the presence of heterogeneity of genetic variances within environments when they are calculated from the usual analysis of variance (r*G, r*G(B), r*G(C)). Correction factors were derived to remove the bias. The two-way genotype by environment interaction variances can be biased upward or downward by the heterogeneity, but the three-way interaction variance is always biased upward. Correction factors for the interaction variances were also derived. Four additive genetic correlations between two traits (X and Y) were derived: rG xy, across both B and C; rG(B) xy, and rG(C) xy, across one environmental factor and within the other; and rG(BC) xy, within both B and C. These concepts were extended to genetic correlations for dominance and maternal effects. Paternal half-sib and factorial mating designs were used to obtain the various genetic correlations. An example of a paternal half-sib design with beef cattle was used to illustrate the methodology.

Entities:  

Year:  1983        PMID: 24258484     DOI: 10.1007/BF00303929

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


  13 in total

1.  The significance for breeding of linear regression analysis of genotype-environment interactions.

Authors:  A J Wright
Journal:  Heredity (Edinb)       Date:  1976-08       Impact factor: 3.821

2.  The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance.

Authors:  R E COMSTOCK; H F ROBINSON
Journal:  Biometrics       Date:  1948-12       Impact factor: 2.571

3.  An approximate distribution of estimates of variance components.

Authors:  F E SATTERTHWAITE
Journal:  Biometrics       Date:  1946-12       Impact factor: 2.571

Review 4.  The role of maternal effects in animal breeding. 8. Comparative aspects of maternal effects.

Authors:  L V Cundiff
Journal:  J Anim Sci       Date:  1972-12       Impact factor: 3.159

5.  Estimation of heritability from experiments with inbred and related individuals.

Authors:  K Hinkelmann
Journal:  Biometrics       Date:  1971-03       Impact factor: 2.571

6.  Estimation of heritability from experiments with related dams.

Authors:  K Hinkelmann
Journal:  Biometrics       Date:  1969-12       Impact factor: 2.571

7.  Genetic parameters in two populations of chickens under reciprocal recurrent selection.

Authors:  E Krause; Y Yamada; A E Bell
Journal:  Br Poult Sci       Date:  1965-07       Impact factor: 2.095

8.  Genetics of life history in Drosophila melanogaster. I. Sib analysis of adult females.

Authors:  M R Rose; B Charlesworth
Journal:  Genetics       Date:  1981-01       Impact factor: 4.562

9.  Lymphoid leukosis virus infection: effects on production and mortality and consequences in selection for high egg production.

Authors:  J S Gavora; J L Spencer; R S Gowe; D L Harris
Journal:  Poult Sci       Date:  1980-10       Impact factor: 3.352

10.  Genetic differences between the Chinese and European races of the common carp.I. Analysis of genotype-environment interactions for growth rate.

Authors:  R Moav; G Hulata; G Wohlfarth
Journal:  Heredity (Edinb)       Date:  1975-06       Impact factor: 3.821

View more
  6 in total

1.  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.  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.  A major QTL conditioning salt tolerance in S-100 soybean and descendent cultivars.

Authors:  G J Lee; T E Carter; M R Villagarcia; Z Li; X Zhou; M O Gibbs; H R Boerma
Journal:  Theor Appl Genet       Date:  2004-09-09       Impact factor: 5.699

4.  Increased temperature, but not acidification, enhances fertilization and development in a tropical urchin: potential for adaptation to a tropicalized eastern Australia.

Authors:  Shawna A Foo; Symon A Dworjanyn; Mehar S Khatkar; Alistair G B Poore; Maria Byrne
Journal:  Evol Appl       Date:  2014-10-15       Impact factor: 5.183

5.  Genetic Analysis of Tropical Midaltitude- Adapted Maize Populations under Stress and Nonstress Conditions.

Authors:  Dan Makumbi; Silvano Assanga; Alpha Diallo; Cosmos Magorokosho; Godfrey Asea; Mosisa Worku; Marianne Bänziger
Journal:  Crop Sci       Date:  2018-06-07       Impact factor: 2.319

6.  Adaptive capacity of the habitat modifying sea urchin Centrostephanus rodgersii to ocean warming and ocean acidification: performance of early embryos.

Authors:  Shawna A Foo; Symon A Dworjanyn; Alistair G B Poore; Maria Byrne
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.