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Bayesian Analysis of the Association between Casein Complex Haplotype Variants and Milk Yield, Composition, and Curve Shape Parameters in Murciano-Granadina Goats

2020; Multidisciplinary Digital Publishing Institute; Volume: 10; Issue: 10 Linguagem: Inglês

10.3390/ani10101845

2076-2615

María Gabriela Pizarro Inostroza, Francisco Javier Navas González, Vincenzo Landi, José Manuel León Jurado, Juan Vicente Delgado Bermejo, Javier Fernández Álvarez, Amparo Martínez,

Animal Genetics and Reproduction

Considering casein haplotype variants rather than SNPs may maximize the understanding of heritable mechanisms and their implication on the expression of functional traits related to milk production. Effects of casein complex haplotypes on milk yield, milk composition, and curve shape parameters were used using a Bayesian inference for ANOVA. We identified 48 single nucleotide polymorphisms (SNPs) present in the casein complex of 159 unrelated individuals of diverse ancestry, which were organized into 86 haplotypes. The Ali and Schaeffer model was chosen as the best fitting model for milk yield (Kg), protein, fat, dry matter, and lactose (%), while parabolic yield-density was chosen as the best fitting model for somatic cells count (SCC × 103 sc/mL). Peak and persistence for all traits were computed respectively. Statistically significant differences (