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Article

Effects of number of training generations on genomic prediction for various traits in a layer chicken population.

Genetics, selection, evolution : GSE - 19 Mar 2016

Weng Ziqing, Wolc Anna, Shen Xia, Fernando Rohan L, Dekkers Jack C M, Arango Jesus, Settar Petek, Fulton Janet E, O'Sullivan Neil P, Garrick Dorian J

Abstract excerpt

BACKGROUND: Genomic estimated breeding values (GEBV) based on single nucleotide polymorphism (SNP) genotypes are widely used in animal improvement programs. It is typically assumed that the larger the number of animals is in the training set, the higher is the prediction accuracy of GEBV. The aim of this study was to quantify genomic prediction accuracy depending on the number of ancestral generations included in...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26992471
DOI: 10.1186/s12711-016-0198-9
PMCID: PMC4799631

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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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