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A genome-wide association analysis for dairy traits in Murciano-Granadina goats

AuthorsGuan, Dailu; Landi, Vincenzo; Luigi-Sierra, Maria Gracia; Delgado, Juan Vicente; Castelló, Anna ; Cabrera, Betlem; Mármol-Sánchez, Emilio; Alvarez, J. F.; Martínez, Amparo ; Such, Xavier; Jordana Vidal, Jordi; Amills, Marcel
Dairy traits
Issue Date2019
Citation37th International Conference on Animal Genetics (2019)
AbstractWith a census of more than 100,000 individuals, Murciano-Granadina is the most important dairy goat breed in Spain. The average milk production is 498 Kg (normalized lactation of 210 d), with 5.1% and 3.6% of fat and protein percentages, respectively. However, we still do not know the main genetic determinants of milk yield and composition traits in Murciano-Granadina goats. The study presented here aimed to map loci with potential effects on 4 milk traits, i.e. Fat Percentage (FP), Protein Percentage (PP), Dry Matter (DM), and Milk Yield (MY). A total of 1,023 goats with available phenotypic records and Goat SNP50 BeadChip genotypes were used to perform genome- and chromosome-wide association analyses by fitting a univariate linear mixed model implemented in the GEMMA software. These analyses revealed a significant genome-wide association for PP on chromosome 6 (78–93 Mb), while several additional regions were significantly associated with other dairy traits at the chromosome-wide level. Interestingly, the QTL on chromosome 6 encompassed the casein cluster (αs1-CN, αs2-CN, β-CN, κ-CN), which has a strong impact on dairy traits as well as on cheese yield and texture. A next step would be to identify the casein variants that have causal effects on milk composition in Murciano-Granadina goats.
DescriptionResumen del póster presentado a la 37th International Conference on Animal Genetics (ISAG), celebrada en Lleida (España) del 7 al 12 de julio de 2019.
Appears in Collections:(CRAG) Comunicaciones congresos
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