Use of single-step genome-wide association studies for prospecting genomic regions related to milk production and milk quality of buffalo

Autor(es)

Barros, Camila da Costa ^[1] ; de Abreu Santos, Daniel Jordan ^[1] ; Aspilcueta-Borquis, Rusbel Raul ^[2] ; Ferreira de Camargo, Gregorio Miguel ^[3] ; de Araujo Neto, Francisco Ribeiro ^[4] ; Tonhati, Humberto ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ, UNESP, FCAV, Jaboticabal, SP - Brazil

^[2] Fundacao Univ Fed Grande Dourados, Dourados, MS - Brazil

^[3] Univ Fed Bahia, Salvador, BA - Brazil

^[4] Inst Fed Goiano, Rio Verde, Go - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF DAIRY RESEARCH; v. 85, n. 4, p. 402-406, NOV 2018.
• Citações Web of Science: 0

Resumo

The aim of this research communication was to identify chromosome regions and genes that could be related to milk yield (MY), milk fat (%F) and protein percentage (%P) in Brazilian buffalo cows using information from genotyped and non-genotyped animals. We used the 90 K Axiom (R) Buffalo Genotyping array. A repeatability model was used. An iterative process was performed to calculate the weights of markers as a function of the squared effects of Single Nucleotide Polymorphism (SNP) and allele frequencies. The 10 SNPs with the largest effects for MY, %F and %P were studied and they explained 7.48, 9.94 and 6.56% of the genetic variance, respectively. These regions harbor genes with biological functions that could be related to the traits analyzed. The identification of such regions and genes will contribute to a better understanding of their influence on milk production and milk quality traits of buffaloes. (AU)

• Processo FAPESP: 13/24427-3 - Seleção genômica para características de produção e qualidade do leite de búfalas
• Beneficiário: Camila da Costa Barros
• Modalidade de apoio: Bolsas no Brasil - Doutorado