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?

Autor: Pizarro Inostroza MG; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain. kalufour@yahoo.es., Landi V; Animal Breeding Consulting, S.L., Córdoba Science and Technology Park Rabanales 21, 14071 Córdoba, Spain. landivincenzo@yahoo.it., Navas González FJ; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain. fjng87@hotmail.com., León Jurado JM; Centro Agropecuario Provincial de Córdoba, Diputación Provincial de Córdoba, Córdoba, 14071 Córdoba, Spain. jomalejur@yahoo.es., Martínez Martínez A; Animal Breeding Consulting, S.L., Córdoba Science and Technology Park Rabanales 21, 14071 Córdoba, Spain. amparomartinezuco@gmail.com., Fernández Álvarez J; National Association of Breeders of Murciano-Granadina Goat Breed, Fuente Vaqueros, 18340 Granada, Spain. j.fernandez@caprigran.com., Delgado Bermejo JV; Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain. juanviagr218@gmail.com.
Jazyk: angličtina
Zdroj: Animals : an open access journal from MDPI [Animals (Basel)] 2019 Sep 13; Vol. 9 (9). Date of Electronic Publication: 2019 Sep 13.
DOI: 10.3390/ani9090679
Abstrakt: 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 AP ) (0.45-0.71) was similar to that of females (0.37-0.86) when the genotype was included. PBV ranges broadened while the maximum remained similar (0.61-0.77) for males and females (0.62-0.81) when the genotype was excluded, respectively. Including the αS1-CN genotype can increase production efficiency, milk profitability, milk yield, fat, protein and dry matter contents in Murciano-Granadina dairy breeding programs.
Databáze: MEDLINE
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