| Full text | |
| Author(s): |
Baldassini, Welder A.
;
Fonseca, Victor G. L. da
;
Coutinho, Marcelo A. S.
;
Rovadoscki, Gregori
;
Mangueira, Rick A. F.
;
Torres, Rodrigo N. S.
;
Machado Neto, Otavio R.
;
Pereira, Guilherme L.
;
Curi, Rogerio A.
;
Chardulo, Luis Artur L.
Total Authors: 10
|
| Document type: | Journal article |
| Source: | TROPICAL ANIMAL HEALTH AND PRODUCTION; v. 57, n. 8, p. 7-pg., 2025-10-07. |
| Abstract | |
The aim of this study was to propose an equation for predicting beef carcass cutability. Records from 1,257 carcasses of crossbred beef steers and heifers were used. Data of number of permanent incisors teeth, hot carcass weight (HCW), backfat thickness (BFT), ribeye area (REA), ossification score (OS), hump height, marbling score (MS), 48-h post-mortem pH, meat color, and fat color were collected. Phenotypic (Spearman) correlations between the carcass variables were calculated and the collected data were used for the development of multiple linear regression equations to predict boneless carcass yield. Principal component (PC) analysis and non-hierarchical cluster analysis (K-means) of the data were performed to categorize the animals into yield classes of rib, loin, round, and chuck (RLRC) cuts. The model developed successfully predicted (P < 0.01) the RLRC yield (R-2=0.94) of the carcasses evaluated. In addition to HCW, BFT and REA, this model included for the first time qualitative variables such as hump height, OS, MS, meat color, and fat color. The model exhibited greater accuracy and precision (R-2=0.94; RMSE = 0.30; AIC = 532) than the model that included only HCW, BFT, and REA (R-2=0.91; RMSE = 0.37; AIC = 1048]. The data projected on the first two components, PC1 and PC2, explained 26.9% and 10.4% of the variance, respectively, providing five categories of boneless carcass yield similar to the North American model. The proposed equation was able to predict the RLRC yield of crossbred beef carcasses (Bos taurus taurus x Bos taurus indicus) and included qualitative variables that helped to explain variations in boneless carcass yield. (AU) | |
| FAPESP's process: | 19/22621-3 - Effect of different nutritional strategies at cow-calf on gene expression, DNA methylation and carcass and meat traits of Angus-Nellore crossbred cattle |
| Grantee: | Rogério Abdallah Curi |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 19/03263-9 - Brazil Beef Quality Certification: standardization for beef palatability |
| Grantee: | Marcelo Aranda da Silva Coutinho |
| Support Opportunities: | Research Grants - Innovative Research in Small Business - PIPE |
| FAPESP's process: | 23/05002-3 - Application of omics tools to study performance, carcass and meat quality traits of feedlot cattle: omics integration using "from-farm-to-fork" concept |
| Grantee: | Welder Angelo Baldassini |
| Support Opportunities: | Regular Research Grants |