Influence of genetic markers on the feeding behavior of yearling bulls

Authors

  • Estela Garza-Brenner National Polytechnic Institute
  • Ana M. Sifuentes-Rincón National Polytechnic Institute
  • Felipe A. Rodríguez Almeida Autonomous University of Chihuahua
  • Ronald D. Randel Texas A&M University System
  • G. Manuel Parra-Bracamonte National Polytechnic Institute
  • Williams Arellano Vera National Polytechnic Institute

DOI:

https://doi.org/10.17533/udea.rccp.v32n1a02

Keywords:

beef cattle, feed efficiency, residual feed intake, single nucleotide polymorphism, temperament

Abstract

Background: The search for gene and marker effects on economically important traits is aimed not only to understanding the genetic architecture of complex traits but also to applying the information to breeding schemes. Objective: To analyze the effect of two temperament-related SNPs (rs109576799 located in the DRD3 gene, and rs43696138 in the HTR2A gene) on feeding performance of Mexican beef cattle. Methods: One hundred and thirty-six young beef bulls were included in a centralized feed efficiency performance test based on residual feed intake (RFI), with 20 d for adaptation and 70 d of feed efficiency testing. In addition to feeding traits, temperament was assessed at the beginning of the trial using pen score (PS) and exit velocity (EV). All animals were genotyped with two markers located in the HTR2A and DRD3 genes, and an association analysis was conducted between these genotypes and the measured traits. Results: For Brangus breed, a significant association was obtained between average daily gain (ADG; p=0.019), and the rs43696138 marker, resulting in higher gains for homozygous genotype GG (1.69 ± 0.04 kg), when compared to the heterozygous genotype GA (1.54 ± 0.04 kg). Conclusion: The previously reported association of these markers with temperament was not confirmed in the evaluated breeds; however, the rs43696138 marker showed an effect on a feeding performance trait. Further studies are needed to determine the effect of this and other markers on both RFI and temperament.

|Abstract
= 261 veces | PDF
= 209 veces| | HTML
= 0 veces|

Downloads

Download data is not yet available.

Author Biographies

Estela Garza-Brenner, National Polytechnic Institute

MSc., Animal Biotechnology Laboratory, Genomic Biotechnology Center, National Polytechnic Institute, Reynosa, Tamaulipas, Mexico.

Ana M. Sifuentes-Rincón, National Polytechnic Institute

Dr., Animal Biotechnology Laboratory, Genomic Biotechnology Center, National Polytechnic Institute, Reynosa, Tamaulipas, Mexico.

Felipe A. Rodríguez Almeida, Autonomous University of Chihuahua

PhD., Faculty of Zootechnics and Ecology, Autonomous University of Chihuahua, Chihuahua, Mexico.

 

Ronald D. Randel, Texas A&M University System

PhD., Texas A&M AgriLife Research, Texas A&M University System, Overton, USA.

G. Manuel Parra-Bracamonte, National Polytechnic Institute

PhD., Animal Biotechnology Laboratory, Genomic Biotechnology Center, National Polytechnic Institute, Reynosa, Tamaulipas, Mexico.

Williams Arellano Vera, National Polytechnic Institute

MSc., Animal Biotechnology Laboratory, Genomic Biotechnology Center, National Polytechnic Institute, Reynosa, Tamaulipas, Mexico.

 

References

Arthur PF, Renand G, Krauss D. Genetic and phenotypic relationships among different measures of growth and efficiency in young Charolais bulls. Livest Prod Sci 2001; 68:131-139.

Banlaki Z, Elek Z, Nanasi T, Szekely A, Nemoda Z, Sasvari-Szekely M, Ronai Z. Polymorphism in the Serotonin Receptor 2a (HTR2A) gene as possible predisposal factor for aggressive traits. PLoS One 2015; 10, e0117792. doi:10.1371/journal.pone.0117792.

Burdick NC, Randel RD, Carrol JA, Welsh TH Jr. Interactions between temperament, stress, and immune function in cattle. Int J Zool 2011; 1-9.

Burrow HM, Dillon RD. Relationships between temperament and growth in a feedlot and commercial carcass traits of Bos indicus crossbreds. Aust J Exp Agr 1997; 37:(4)407–411.

Crews DH Jr. Genetics of efficient feed utilization and national cattle evaluation: a review. Genet Mol Res 2005; 4(2):152-165.

Dos Santos FC, Peixoto MGCD, Fonseca PadS, Pires MdFÁ, Ventura RV, Rosse IdC, Bruneli FA, Machad MA, Carvalho MR. Identification of candidate genes for reactivity in Guzerat (Bos indicus) Cattle: A genome-wide association study. PloS ONE 2017; 12(1): e0169163. doi:10.1371/journal.pone0169163.

Friedrich J, Brand B, Schwerin M. Genetics of cattle temperament and its impact on livestock production and breeding – a review. Arch Anim Breed 2015; 58:13–21.

Garza-Brenner E, Sifuentes-Rincón AM, Randel RD, Paredes-Sánchez FA, Parra-Bracamonte GM, Arellano Vera W, Rodríguez Almeida FA, Segura Cabrera A. Association of SNPs in dopamine- and serotonin-pathway genes and their interacting genes with temperament traits in Charolais cattle. J App Genet 2017; 58(3):363-371.

Hammond AC, Olson TA, Chase Jr CC, Bowers EJ, Randel RD, Murphy CN, Vogt DW, Tewolde A. Heat tolerance in two tropically adapted Bos taurus breeds, Senepol and Romosinuano, compared with Brahman, Angus, and Hereford cattle in Florida. J Anim Sci 1996; 74:295–303.

Haskell MJ, Simm G, Turner SP. Genetic selection for temperament traits in dairy and beef cattle. Front Genet 2014; 5:1–18.

Koch RM, Swiger LA, Chambers D, Gregory KE. Efficiency of feed use in beef cattle. J Anim Sci 1963; 22:486-494.

Lindholm-Perry AK, Kuehn LA, Freetly HC, Snelling WM. Genetic markers that influence feed efficiency phenotypes also affect cattle temperament as measured by flight speed. Anim Genet 2014; 46:60–64.

Llonch P, Somarriba M, Duthie C-A, Haskell MJ, Rooke JA, Troy S, Roehe R, Turner SP. Association of Temperament and Acute Stress Responsiveness with Productivity, Feed Eficiency, and Methane Emissions in Beef Cattle: An Observational Study. Front Vet Sci 2016; 3:43-51. doi: 10.3389/fvets.2016.00043.

Machado MBB, Alencar MM, Pereira AP, Oliveira HN, Casas E, Countinho LL, Regitano LCA. QTL affecting body weight in a candidate region of cattle chromosome 5. Genet Mol Biol 2003; 26:259-265.

Moore SS, Mujibi FB, Sherman EL. Molecular basis for residual feed intake in beef cattle. J Anim Sci2007; 87(E. Suppl.):E41–E47. doi:10.2527/jas.2008-1418.

Rousset, F. Genepop’007: A complete reimplementation of the Genepop software for Windows and Linux. Molecular Ecology Resources, 2008; 8(1):103-106.

SAS®, Statistical Analysis System. SAS/STAT User ́s Guide. Version 9.4. Cary, NC, USA: SAS Institute Incorporation; 2013.

Supek F, Miñana B, Valcárcel J, Gabaldón T, Lehner B. Synonymous mutations frequently act as driver mutations in human cancers. Cell. 2014; 156:1324–1335. doi:10.1016/j.cell.2014.01.051

Downloads

Published

2019-03-27

How to Cite

Garza-Brenner, E., Sifuentes-Rincón, A. M., Rodríguez Almeida, F. A., Randel, R. D., Parra-Bracamonte, G. M., & Arellano Vera, W. (2019). Influence of genetic markers on the feeding behavior of yearling bulls. Revista Colombiana De Ciencias Pecuarias, 32(1), 14–20. https://doi.org/10.17533/udea.rccp.v32n1a02

Issue

Section

Original research articles

Most read articles by the same author(s)