ArticleAnimals : an open access journal from MDPI2019
Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?
Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Drivers of artificial insemination fertility in Murciano-Granadina goats: a ten-year multifactorial approach integrating buck-doe interactions across physiological, environmental, and management conditions.BMC veterinary research · 2026Article
- Ultrasonography of Pregnancy in Murciano-Granadina Goat Breed: Fetal Growth Indices and Umbilical Artery Doppler Parameters.Animals : an open access journal from MDPI · 2023Article
- Candidate Genes and Their Expressions Involved in the Regulation of Milk and Meat Production and Quality in Goats (Animals : an open access journal from MDPI · 2022Review
- Bayesian Analysis of the Association between Casein Complex Haplotype Variants and Milk Yield, Composition, and Curve Shape Parameters in Murciano-Granadina Goats.Animals : an open access journal from MDPI · 2020Article
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Authors and funding
7 authors.
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Abstract
A total of 2090 lactation records for 710 Murciano-Granadina goats were collected during the years 2005-2016 and analyzed to investigate the influence of the αS1-CN genotype on milk yield and components (protein, fat, and dry matter). Goats were genetically evaluated, including and excluding the αS1-CN genotype, in order to assess its repercussion on the efficiency of breeding models. Despite no significant differences being found for milk yield, fat and dry matter heritabilities, protein production heritability considerably increased after aS1-CN genotype was included in the breeding model (+0.23). Standard errors suggest that the consideration of genotype may improve the model's efficiency, translating into more accurate genetic parameters and breeding values (PBV). Genetic correlations ranged from -0.15 to -0.01 between protein/dry matter and milk yield/protein and fat content, while phenotypic correlations were -0.02 for milk/protein and -0.01 for milk/fat or protein content. For males, the broadest range for reliability (R
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