Assessment of some important genetic markers affecting meat production and quality traits in Aberdeen Angus and other breed beef cattle and crossbreeds


Creative Commons License

Ardıçlı S., Üstüner H., Selvi T. N. , Şentürk N.

7TH NATIONAL – 3RD INTERNATIONAL HERD HEALTH AND MANAGEMENT, Antalya, Turkey, 20 - 23 October 2022, vol.7, no.24, pp.232-233

  • Publication Type: Conference Paper / Summary Text
  • Volume: 7
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.232-233
  • Bursa Uludag University Affiliated: Yes

Abstract

Myogenic Differentiation 1 (MYOD1), Oxidized Low-density Lipoprotein Receptor 1 (OLR1),

and Melanocortin 4 Receptor (MC4R) genes play important roles in the regulation of the fat and energy

metabolism and physiology of cattle growth as well as health traits. Thus, the variation in these genes

is highly valuable for the improvement of beef yield and quality. This study was designed to evaluate

the effects of the MYOD1, OLR1, and MC4R gene polymorphisms on the selected beef production traits.

A total of 165 Aberdeen Angus bulls and crossbreds were genotyped by PCR-RFLP in this study. We

analyzed the association of the SNPs with slaughter weight, hot and chilled carcass weight, chilling

loss, dressing percentage, back fat thickness, carcass fatness score, color score, and marbling. The

genetic merit for the selected beef yield and quality traits were quantified by the general linear model

(GLM). First, individual gene effects were evaluated. We next analyzed the genotypic interactions for

each phenotypic trait regarding haplotype effects. The genotypic/allelic frequencies and Hardy-

Weinberg Equilibrium was estimated and population genetics parameters including heterozygosity,

number of effective alleles, polymorphism information content, and fixation index were calculated.

Results revealed that all three genotypes were observed for all of the markers. The OLR1 marker was

significantly associated with hot carcass weight (P<0.05) and back fat thickness (P<0.001). Moreover,

the effect of MYOD1 on the beef color score was found to be significant (P<0.05). Significant genotypic

interactions were observed for the MYOD1×OLR1 (back fat thickness and color score) and

OLR1×MC4R (back fat thickness). In addition, some tendencies (P<0.1) were observed at both

individual genotype and haplotype levels. Consequently, novel associations identified in this study may

be useful for the molecular genetic applications incorporated into cattle breeding programs to improve

beef yield and quality.