DOI: 10.36347/sjavs.2018.v05i04.006

Pages: 218-229

Abstract: Beef quality is the most important index that consumers consider, which can be evaluated by detecting high-grade beef, marbling, eye muscle area, thickness of backfat and tenderness. The screening and identification of meat quality-related function gene have important significance for marker assisted selection. This paper explored the variation of 10 genes in 7 different populations of beef cattle. The association analysis of 10 genes and different genotype combinations with 14 carcass and growth traits of cattle was carried out by linear model using the SPSS software. PN3 gene had a significant effect on eight growth traits. Next, we studied association analysis between different genotype and growth traits, as well as the significance of different beef cattle breeds, different feed varieties and different months of age on important economic traits. Finally, the optimal prediction model of the trait LWBS with 13 traits was obtained by principal component regression. PN3 gene had a significant effect on the trait LWBS, among which individuals of BB genotype had significantly higher LWBS than those of AA and AB genotypes (P<0.01). The analysis results can provide scientific basis for improving the beef fat ratio and beef quality, and for the cultivation of new meat products.