Literature DB >> 12487479

Genotype x environment interaction for protein yield in Dutch dairy cattle as quantified by different models.

M P L Calus1, A F Groen, G de Jong.   

Abstract

Variance components and breeding values for protein yield were estimated with REML without and with correction for heterogeneity of variances. Three different sire models were applied, which all accounted for genotype x environment (G x E) interaction. The first model included a sire x herd-year-season subclass (HYS) interaction. The second model divided all records in four different types of management groups, based on estimated HYS subclass effect. The third model, the reaction norm model, performed a random linear regression on the estimated HYS effect. For comparison, a standard model that did not take G x E interaction into account was also applied. Data consisted of 102,899 305-d first-lactation protein records of Holstein Friesians of 1,000 ofthe largest Dutch dairy herds. All animals calved in 1997, 1998, or 1999. Estimated breeding values (EBV) for 2,150 bulls with at least five daughters were calculated. The interaction model detected an interaction variance of 2.5% of the phenotypic variance. The EBV showed a correlation of 1.00 with those of the standard model without interaction. The model with the division in groups showed correlations between groups ranging from 0.73 to 0.86. The EBV showed correlations from 0.84 to 0.91 with the EBV of the standard model. The reaction norm model calculated EBV that had a correlation of 1.00 with the EBV of the standard model. The reaction norm model was not able to detect significant variance of the slope for the protein data corrected for heterogeneity of variances.

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Year:  2002        PMID: 12487479     DOI: 10.3168/jds.S0022-0302(02)74399-3

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


  14 in total

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4.  Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models.

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Journal:  Genet Sel Evol       Date:  2016-01-14       Impact factor: 4.297

5.  A reaction norm model for genomic selection using high-dimensional genomic and environmental data.

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Journal:  Theor Appl Genet       Date:  2013-12-12       Impact factor: 5.699

6.  Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms.

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7.  Using genome-wide association analysis to characterize environmental sensitivity of milk traits in dairy cattle.

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Review 9.  Genotype by environment interaction and breeding for robustness in livestock.

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Journal:  Front Genet       Date:  2015-10-20       Impact factor: 4.599

10.  Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles.

Authors:  Ana I Vazquez; Yogasudha Veturi; Michael Behring; Sadeep Shrestha; Matias Kirst; Marcio F R Resende; Gustavo de Los Campos
Journal:  Genetics       Date:  2016-04-29       Impact factor: 4.562

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