ArticleGenetics, selection, evolution : GSE2018
Weighted single-step genomic BLUP improves accuracy of genomic breeding values for protein content in French dairy goats: a quantitative trait influenced by a major gene.
Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed, 70 citations in OpenAlex.
- Transition from Conventional to Genomic Selection (ssGBLUP) led to improve in accuracy gains and selection decisions in Sahiwal Cattle.Scientific reports · 2026Article
- Genetic Determinants of Milk Production Phenotypes in Dairy Goats: A Review.Veterinary sciences · 2026Review
- Weighted Single-Step Genomic Evaluation of Body Structural Traits for Early Selection of Growth Performance in Thai Swamp Buffalo.Animals : an open access journal from MDPI · 2026Article
- Development and application of SNP chips in goat breeding: a mini review.Frontiers in veterinary science · 2026Review
- Review
- Genetic Evaluation of Milk Production Traits in the Serbian Saanen Goat Population.Animals : an open access journal from MDPI · 2025Article
- Genome Selection and Genome-Wide Association Analyses for Litter Size Traits in Large White Pigs.Animals : an open access journal from MDPI · 2025Article
- Pleiotropic Genes Affecting Milk Production, Fertility, and Health in Thai-Holstein Crossbred Dairy Cattle: A GWAS Approach.Animals : an open access journal from MDPI · 2025Article
- Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results.Animals : an open access journal from MDPI · 2025Article
- Weighted single-step genomic best linear unbiased predictor enhances the genomic prediction accuracy for milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation.JDS communications · 2025Article
- Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024Review
- Variations in Casein Genes Are Associated with Milk Protein and Fat Contents in Sarda Goats (Animals : an open access journal from MDPI · 2023Article
- SLEMM: million-scale genomic predictions with window-based SNP weighting.Bioinformatics (Oxford, England) · 2023Article
- Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing.Genetics, selection, evolution : GSE · 2023Article
- An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.Frontiers in genetics · 2023Article
- The prediction accuracies of linear-type traits in Czech Holstein cattle when using ssGBLUP or wssGBLUP.Journal of animal science · 2022Article
- Using Pedigree and Genomic Data toward Better Management of Inbreeding in Italian Dairy Sheep and Goat Breeds.Animals : an open access journal from MDPI · 2022Article
- Weighted Single-Step Genomic Best Linear Unbiased Prediction Method Application for Assessing Pigs on Meat Productivity and Reproduction Traits.Animals : an open access journal from MDPI · 2022Article
- Strategies to improve the accuracy and reduce costs of genomic prediction in aquaculture species.Evolutionary applications · 2022Article
- Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle.Animals : an open access journal from MDPI · 2022Article
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2017, genomic selection was implemented in French dairy goats using the single-step genomic best linear unbiased prediction (ssGBLUP) method, which assumes that all single nucleotide polymorphisms explain the same fraction of genetic variance. However, ssGBLUP is not suitable for protein content, which is controlled by a major gene, i.e. α
methodsGenomic evaluation for protein content was performed with data from the official genetic evaluation on 2955 animals genotyped with the Illumina goat SNP50 BeadChip, 7202 animals genotyped at the α
resultsAccuracies of GEBV with ssGBLUP improved by + 5 to + 7 percent points over accuracies from the pedigree-based BLUP model. With the WssGBLUP methods, SNPs that are located close to the α
conclusionsThe three weighted ssGBLUP methods were efficient for detecting SNPs associated with protein content and for a better prediction of genomic breeding values than ssGBLUP. They also combined fast computing, simplicity and required ssGBLUP to be run only twice.
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