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?
2019
María Gabriela Pizarro Inostroza | Vincenzo Landi | Francisco Javier Navas González | Jose Manuel León Jurado | Amparo Martínez Martínez | Javier Fernández Álvarez | Juan Vicente Delgado Bermejo
A total of 2090 lactation records for 710 Murciano-Granadina goats were collected during the years 2005&ndash:2016 and analyzed to investigate the influence of the &alpha:S1-CN genotype on milk yield and components (protein, fat, and dry matter). Goats were genetically evaluated, including and excluding the &alpha:S1-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&rsquo:s efficiency, translating into more accurate genetic parameters and breeding values (PBV). Genetic correlations ranged from &minus:0.15 to &minus:0.01 between protein/dry matter and milk yield/protein and fat content, while phenotypic correlations were &minus:0.02 for milk/protein and &minus:0.01 for milk/fat or protein content. For males, the broadest range for reliability (RAP) (0.45&ndash:0.71) was similar to that of females (0.37&ndash:0.86) when the genotype was included. PBV ranges broadened while the maximum remained similar (0.61&ndash:0.77) for males and females (0.62&ndash:0.81) when the genotype was excluded, respectively. Including the &alpha:S1-CN genotype can increase production efficiency, milk profitability, milk yield, fat, protein and dry matter contents in Murciano-Granadina dairy breeding programs.
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