Genetic and Phenotypic Analysis of Meat Quality Traits in Buffalo Beef and Correlations to Carcass Composition

Author(s):  
Sarubbi
2020 ◽  
Author(s):  
Piush Khanal ◽  
Christian Maltecca ◽  
Clint Schwab ◽  
Justin Fix ◽  
Francesco Tiezzi

Abstract BackgroundSwine gut microbiome constitutes a portion of the whole genome and has potential to affect different phenotypes. More recently, research is more directed towards association of gut microbiome and different traits in swine. However, the contribution of microbial composition to the phenotypic variation of meat quality and carcass composition traits in pigs has not been explored yet. The objectives of this study are to estimate the microbiabilities for different meat quality and carcass composition traits; to investigate the impact of intestinal microbiome on heritability estimates; to estimate the correlation between microbial diversity and meat quality and carcass composition traits; and to estimate the microbial correlation between the meat quality and carcass composition traits in a commercial swine population.ResultsThe contribution of the microbiome to carcass composition and meat quality traits was prominent although it varied over time, increasing from weaning to off test for most traits. Microbiability estimates of carcass composition traits were greater than that of meat quality traits. Among all of the traits analyzed, belly weight had higher microbiability estimate (0.29 ± 0.04). Adding microbiome information did not affect the estimates of genomic heritability of meat quality traits but affected the estimates of carcass composition traits. Fat depth had greater decrease (10%) in genomic heritability. High microbial correlations were found among several traits. This suggested that genomic correlation was partially contributed by genetic similarity of microbiome composition.ConclusionsResults indicate that better understanding of microbial composition could aid the improvement of complex traits, particularly the carcass composition traits in swine by inclusion of microbiome information in the genetic evaluation process.


2015 ◽  
Vol 42 (9) ◽  
pp. 1403-1407 ◽  
Author(s):  
Lupei Zhang ◽  
Hongyan Ren ◽  
Jiuguang Yang ◽  
Qianfu Gan ◽  
Fuping Zhao ◽  
...  

2009 ◽  
Vol 8 (sup3) ◽  
pp. 98-100 ◽  
Author(s):  
Kresimir Salajpal ◽  
Marija Dikic ◽  
Danijel Karolyi ◽  
Zlatko Janjecic ◽  
Ivan Juric

2000 ◽  
Vol 32 (2) ◽  
pp. 165 ◽  
Author(s):  
Pascale Le Roy ◽  
Jean-Michel Elsen ◽  
Jean-Claude Caritez ◽  
André Talmant ◽  
Hervé Juin ◽  
...  

2019 ◽  
Author(s):  
Piush Khanal ◽  
Christian Maltecca ◽  
Clint Schwab ◽  
Justin Fix ◽  
Francesco Tiezzi

AbstractThe impact of gut microbiome composition was investigated at different stages of production (Wean, Mid-test, and Off-test) on meat quality and carcass composition traits of 1,123 three-way-crossbred pigs. Data were analyzed using linear mixed models which included the fixed effects of dam line, contemporary group and gender as well as the random effects of pen, animal and microbiome information at different stages. The contribution of the microbiome to all traits was prominent although it varied over time, increasing from weaning to Off-test for most traits. Microbiability estimates of carcass composition traits were greater compared to meat quality traits. Adding microbiome information did not affect the estimates of genomic heritability of meat quality traits but affected the estimates of carcass composition traits. High microbial correlations were found among different traits, particularly with traits related to fat deposition with decrease in genomic correlation up to 20% for loin weight and belly weight. Decrease in genomic heritabilities and genomic correlations with the inclusion of microbiome information suggested that genomic correlation was partially contributed by genetic similarity of microbiome composition.


2006 ◽  
Vol 82 (2) ◽  
pp. 151-162 ◽  
Author(s):  
E. Karamichou ◽  
R. I. Richardson ◽  
G. R. Nute ◽  
K. A. McLean ◽  
S. C. Bishop

AbstractGenetic parameters for carcass composition and meat quality traits were estimated in Scottish Blackface sheep, previously divergently selected for carcass lean content (LEAN and FAT lines). Computerized X-ray tomography (CT) was used to obtain non-destructive in vivo estimates of the carcass composition of 700 lambs, at ca. 24 weeks of age, with tissue areas and image densities obtained for fat, muscle and bone components of the carcass. Comprehensive measures of meat quality and carcass fatness were made on 350 male lambs, at ca. 8 months of age, which had previously been CT scanned. Meat quality traits included intramuscular fat content, initial and final pH of the meat, colour attributes, shear force, dry matter, moisture and nitrogen proportions, and taste panel assessments of the cooked meat. FAT line animals were significantly (P<0·05) fatter than the LEAN line animals in all measures of fatness (from CT and slaughter data), although the differences were modest and generally proportionately less than 0·1. Correspondingly, the LEAN line animals were superior to the FAT line animals in muscling measurements. Compared with the LEAN line, the FAT line had lower muscle density (as indicated by the relative darkness of the scan image), greater estimated subcutaneous fat (predicted from fat classification score) at slaughter, more intramuscular fat content, a more ‘yellow’ as opposed to ‘red’ muscle colour, and juicer meat (all P<0·05). All CT tissue areas were moderately to highly heritable, with h2 values ranging from 0·23 to 0·76. Likewise, meat quality traits were also moderately heritable. Muscle density was the CT trait most consistently related to meat quality traits, and genetic correlations of muscle density with live weight, fat class, subcutaneous fat score, dry matter proportion, juiciness, flavour and overall liking were all moderately to strongly negative, and significantly different from zero. In addition, intramuscular fat content was positively genetically correlated with juiciness and flavour, and negatively genetically correlated with shear force value. The results of this study demonstrate that altering carcass fatness will simultaneously change muscle density (indicative of changes in intramuscular fatness), and aspects of intramuscular fat content, muscle colour and juiciness. The heritabilities for the meat quality traits indicate ample opportunities for altering most meat quality traits. Moreover, it appears that colour, intramuscular fat content, juiciness, overall liking and flavour may be adequately predicted, both genetically and phenotypically, from measures of muscle density. Thus, genetic improvement of carcass composition and meat quality is feasible using in vivo measurements.


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