Literature DB >> 14762093

Genotype x environment interaction for grazing versus confinement. I. Production traits.

J F Kearney1, M M Schutz, P J Boettcher, K A Weigel.   

Abstract

The objective of this study was to investigate the possible existence of a genotype x environment interaction (GxE) for production traits of US Holsteins in grazing versus confinement herds. Grazing herds were defined as those that utilized grazing for at least 6 mo and were enrolled in dairy herd improvement (DHI). Control herds were confinement DHI herds of comparable size in similar regions. The performance of daughters in grazing herds and control herds was examined using linear regression of mature equivalent milk, fat, and protein yield on the November 2000 USDA-DHI predicted transmitting abilities (PTA) of their sires for those traits. Heritabilities and genetic correlations were estimated using restricted maximum likelihood in a bivariate animal model that considered the same trait in different environments as different traits. Product-moment and rank correlations were calculated between sires' estimated breeding values, estimated separately in both environments. For grazing herds, the coefficient of regression of milk, fat and protein on PTA were 0.78, 0.76, and 0.78, respectively. Corresponding coefficients in the control herds were 0.99, 0.96, and 0.98. Estimates of heritability for the traits ranged from 0.2 to 0.25, and differences between grazing and control environments were small. Estimates of the genetic correlations for the traits in both environments were 0.89, 0.88, and 0.91 for milk, fat, and protein, respectively. Within-quartile analyses revealed a lower correlation for milk and protein between the upper and lower grazing quartiles, while the same quartiles for the control herds did not differ from unity. Rank correlation coefficients between sire estimated breeding values from the 2 environments were 0.59, 0.63, and 0.66 for milk, fat, and protein, respectively. The mean rank change for the top 100 sires between the two environments was 27. The regression coefficients indicate that expected daughter differences may be overstated by current sire PTA in grazing herds. Genetic correlations less than unity suggests that there is, at least, some reranking among sires in both environments, while the rank correlations indicate the possibility of sire reranking when evaluations were performed within management system. However, differences are not so large as to justify separate genetic evaluations for each system.

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Year:  2004        PMID: 14762093     DOI: 10.3168/jds.S0022-0302(04)73189-6

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  7 in total

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Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

2.  Two approaches to account for genotype-by-environment interactions for production traits and age at first calving in South African Holstein cattle.

Authors:  Vincent Ducrocq; Astrid Cadet; Clotilde Patry; Lene van der Westhuizen; Jacob B van Wyk; Frederick Wilhelm Cornelius Neser
Journal:  Genet Sel Evol       Date:  2022-06-11       Impact factor: 5.100

3.  Little genetic variability in resilience among cattle exists for a range of performance traits across herds in Ireland differing in Fasciola hepatica prevalence.

Authors:  Alan J Twomey; David A Graham; Michael L Doherty; Astrid Blom; Donagh P Berry
Journal:  J Anim Sci       Date:  2018-06-04       Impact factor: 3.159

4.  Genomic Selection Improves Response to Selection in Resilience by Exploiting Genotype by Environment Interactions.

Authors:  Han A Mulder
Journal:  Front Genet       Date:  2016-10-13       Impact factor: 4.599

5.  Impact of a high-fibre diet on genetic parameters of production traits in growing pigs.

Authors:  V Déru; A Bouquet; C Hassenfratz; B Blanchet; C Carillier-Jacquin; H Gilbert
Journal:  Animal       Date:  2020-06-19       Impact factor: 3.240

6.  Gene-environment interaction in yeast gene expression.

Authors:  Erin N Smith; Leonid Kruglyak
Journal:  PLoS Biol       Date:  2008-04-15       Impact factor: 8.029

7.  Selection of performance-tested young bulls and indirect responses in commercial beef cattle herds on pasture and in feedlots.

Authors:  Fernanda S S Raidan; Dalinne C C Santos; Mariana M Moraes; Andresa E M Araújo; Henrique T Ventura; José A G Bergmann; Eduardo M Turra; Fabio L B Toral
Journal:  Genet Sel Evol       Date:  2016-11-09       Impact factor: 4.297

  7 in total

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