Advanced search
Start date
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
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]
Total Authors: 6
[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
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF DAIRY RESEARCH; v. 85, n. 4, p. 402-406, NOV 2018.
Web of Science Citations: 0

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)

FAPESP's process: 13/24427-3 - Genomic selection for yield and quality of milk buffalo
Grantee:Camila da Costa Barros
Support Opportunities: Scholarships in Brazil - Doctorate