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Dissecting genetic trends to understand breeding practices in livestock: a maternal pig line example.

TitleDissecting genetic trends to understand breeding practices in livestock: a maternal pig line example.
Publication TypeJournal Article
Year of Publication2021
AuthorsAbdollahi-Arpanahi, R, Lourenco, D, Legarra, A, Misztal, I
JournalGenet Sel Evol
Volume53
Issue1
Pagination89
Date Published2021 Nov 27
ISSN1297-9686
KeywordsAnimals, Female, Genome, Genotype, Livestock, Male, Models, Genetic, Pedigree, Phenotype, Swine
Abstract

BACKGROUND: Understanding whether genomic selection has been effective in livestock and when the results of genomic selection became visible are essential questions which we have addressed in this paper. Three criteria were used to identify practices of breeding programs over time: (1) the point of divergence of estimated genetic trends based on pedigree-based best linear unbiased prediction (BLUP) versus single-step genomic BLUP (ssGBLUP), (2) the point of divergence of realized Mendelian sampling (RMS) trends based on BLUP and ssGBLUP, and (3) the partition of genetic trends into that contributed by genotyped and non-genotyped individuals and by males and females.

METHODS: We used data on 282,035 animals from a commercial maternal line of pigs, of which 32,856 were genotyped for 36,612 single nucleotide polymorphisms (SNPs) after quality control. Phenotypic data included 228,427, 101,225, and 11,444 records for birth weight, average daily gain in the nursery, and feed intake, respectively. Breeding values were predicted in a multiple-trait framework using BLUP and ssGBLUP.

RESULTS: The points of divergence of the genetic and RMS trends estimated by BLUP and ssGBLUP indicated that genomic selection effectively started in 2019. Partitioning the overall genetic trends into that for genotyped and non-genotyped individuals revealed that the contribution of genotyped animals to the overall genetic trend increased rapidly from ~ 74% in 2016 to 90% in 2019. The contribution of the female pathway to the genetic trend also increased since genomic selection was implemented in this pig population, which reflects the changes in the genotyping strategy in recent years.

CONCLUSIONS: Our results show that an assessment of breeding program practices can be done based on the point of divergence of genetic and RMS trends between BLUP and ssGBLUP and based on the partitioning of the genetic trend into contributions from different selection pathways. However, it should be noted that genetic trends can diverge before the onset of genomic selection if superior animals are genotyped retroactively. For the pig population example, the results showed that genomic selection was effective in this population.

DOI10.1186/s12711-021-00683-6
Alternate JournalGenet Sel Evol
PubMed ID34837954
PubMed Central IDPMC8627101
Grant List2020-67015-31030 / / National Institute of Food and Agriculture /