Among the economically relevant traits for the beef cattle industry, those linked to reproduction are more important than any other traits. Anti-Müllerian hormone (AMH) has been related as a biomarker to predict the number of health antral follicles for commercial beef cattle. However, information on genomic associated to that hormone is very rare in Bos indicus, the relevant breed group in tropical areas. Therefore, the primary objective of this study was to implement a genome-wide association study (GWAS) to identify genomic regions associated to AMH concentration in Nellore cattle, the most important breed in the Brazilian beef industry and investigating the genetic mechanisms underlie this trait. Data from 1,375 females belonging to four farms located in midwestern states of Brazil and genotypes from 917 females of those animals were used. The GWAS analysis was performed with BLUPF90 software using the postGSf90 program. The nine windows significant identified were located on chromosomes 1, 5, 8, 10, 11 and 17 that in total explained 15.86% of the additive genetic variance, considering windows of 150 adjacent SNPs. The identified genes are involved to regulation of ovarian follicle development, ovulation, luteal function, maternal recognition of pregnancy, implantation, maintenance of gestation, ovarian infections and on pituitary function, ubiquitin protein and spermatogenesis associated with fertility and an important signaling pathway increasing the understanding of biological pathways. These results provide pertinent information as the first step to help elucidate which genes affect this trait and further improve the hypothesis of AMH it has been used as a biomarker to predict fertility and utility in future experiments and breeding programs. Keywords: anti-müllerian hormone, cattle, marker, ovulation, precocity,

Laís Grigoletto, Elisangela Chicaroni. Mattos, Fernando Baldi, Joanir Pereira Eler, Pietro Baruselli, José Bento Ster Ferraz

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Electronic Poster Session - Biology - Reproduction 1, , 290, 2018
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