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Article

A comparison of alternative random regression and reaction norm models for whole genome predictions.

Journal of animal science - 1 Jun 2015

Yang W, Chen C, Steibel J P, Ernst C W, Bates R O, Zhou L, Tempelman R J

Abstract excerpt

Whole genome prediction (WGP) based on high density SNP marker panels is known to improve the accuracy of breeding value (BV) prediction in livestock. However, these accuracies can be compromised when genotype by environment interaction (G×E) exists but is not accounted for. Reaction norm (RN) and random regression (RR) models have proven to be useful in accounting for G×E in pre-WGP evaluations by modeling BV as...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 26115256
DOI: 10.2527/jas.2014-8685

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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