ArticleJournal of animal science2020
Changes in genetic parameters for fitness and growth traits in pigs under genomic selection.
Article in Journal of animal science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Applications of omics-based phenotyping technologies in animal genetic breeding.Science China. Life sciences · 2026Review
- Genetic parameters via predictivity in large populations under strong genomic selection.Genetics, selection, evolution : GSE · 2026Article
- Recent population history in Swedish cattle breeds.Genetics, selection, evolution : GSE · 2026Article
- Impact of Model Parameterisation and Variance Component Estimates on Genomic Predictions of Carcass Traits in Montana Composite Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Restructuring breeding programs 1: Integration of diversity.Genetics, selection, evolution : GSE · 2026Article
- Strategies to improve on selection based on estimated breeding values.Genetics, selection, evolution : GSE · 2026Article
- Genetic diversity and population structure of U.S. Suffolk sheep participating in the national sheep improvement program.Genetics, selection, evolution : GSE · 2026Article
- Using predictivity to estimate heritabilities and genetic correlations over time for growth traits in a large genotyped angus cattle population.Journal of animal science · 2026Article
- Scaling linear-model breeding values to the liability scale: an application to pig binary traits.Journal of animal science · 2026Article
- Genomic Evaluation in Nellore Cattle for Reproductive Traits: Multiple Ways to Account for Missing Pedigrees.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Estimation of (co)variance components for very large datasets and complex single-step genomic models.Genetics, selection, evolution : GSE · 2025Article
- Article
- Practical Considerations When Using Mendelian Sampling Variances for Selection Decisions in Genomic Selection Programs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Estimation of heritabilities and genetic correlations by time slices using predictivity in large genomic models.Genetics · 2025Article
- Impact of genomic selection for growth and carcass traits on foot structure in Angus cattle.Journal of animal science · 2025Article
- Discovery of differentially expressed lncRNAs in porcine ovaries with smaller and bigger litter size.Frontiers in genetics · 2025Article
- A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era.Genetics, selection, evolution : GSE · 2024Article
- Supervised Machine Learning Techniques for Breeding Value Prediction in Horses: An Example Using Gait Visual Scores.Animals : an open access journal from MDPI · 2024Article
- Temporal dynamics of genetic parameters and SNP effects for performance and disorder traits in poultry undergoing genomic selection.Journal of animal science · 2024Article
- Potential negative effects of genomic selection.Journal of animal science · 2024Article
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7 authors.
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Abstract
Genomic selection increases accuracy and decreases generation interval, speeding up genetic changes in the populations. However, intensive changes caused by selection can reduce the genetic variation and can strengthen undesirable genetic correlations. The purpose of this study was to investigate changes in genetic parameters for fitness traits related with prolificacy (FT1) and litter survival (FT2 and FT3), and for growth (GT1 and GT2) traits in pigs over time. The data set contained 21,269 (FT1), 23,246 (FT2), 23,246 (FT3), 150,492 (GT1), and 150,493 (GT2) phenotypic records obtained from 2009 to 2018. The pedigree file included 369,776 animals born between 2001 and 2018, of which 39,103 were genotyped. Genetic parameters were estimated with bivariate models (FT1-GT1, FT1-GT2, FT2-GT1, FT2-GT2, FT3-GT1, and FT3-GT2) using 3-yr sliding subsets. With a Bayesian implementation using the GIBBS3F90 program computations were performed as genomic analysis (GEN) or pedigree-based analysis (PED), that is, with or without genotypes, respectively. For GEN (PED), the changes in heritability from the first to the last year interval, that is, from 2009-2011 to 2015-2018 were 8.6 to 5.6 (7.9 to 8.8) for FT1, 7.8 to 7.2 (7.7 to 10.8) for FT2, 11.4 to 7.6 (10.1 to 7.5) for FT3, 35.1 to 16.5 (32.5 to 23.7) for GT1, and 35.9 to 16.5 (32.6 to 24.1) for GT2. Differences were also observed for genetic correlations as they changed from -0.31 to -0.58 (-0.28 to -0.73) for FT1-GT1, -0.32 to -0.50 (-0.29 to -0.74) for FT1-GT2, -0.27 to -0.45 (-0.30 to -0.65) for FT2-GT1, -0.28 to -0.45 (-0.32 to -0.66) for FT2-GT2, 0.14 to 0.17 (0.11 to 0.04) for FT3-GT1, and 0.14 to 0.18 (0.11 to 0.05) for FT3-GT2. Strong selection in pigs reduced heritabilities and emphasized the antagonistic genetic relationships between fitness and growth traits. With genotypes considered, heritability estimates were smaller and genetic correlations were greater than estimates with only pedigree and phenotypes. When selection is based on genomic information, genetic parameters estimated without this information can be biased because preselection is not accounted for by the model.
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