Prediction of weight and percentage of salable meat from Brazilian market lambs by subjective conformation and fatness scores

Abstract

-This study assessed the use of conformation and fatness scores of the EUROP sheep carcass grading system to predict weight and percentage of salable meat from Brazilian market lambs. Data were collected from in vivo, carcass, and retail production from 252 uncastrated lambs. Evaluated models included single regressions, two multivariate models, and one determined by the stepwise procedure. Conformation was moderately correlated with weight of salable meat. Fatness scores were correlated with rump perimeter, carcass width, and thoracic depth with coefficients of −0.33, −0.32, and −0.23, respectively. Body weight was the best single predictor for weight of salable meat and cold carcass yield for percentage of salable meat. All multivariate models for weight of salable meat prediction were significant. Stepwise regression with body weight, leg perimeter, thoracic depth, rump perimeter, and fatness scores predicted 98% of weight of salable meat variation. For percentage of salable meat prediction, stepwise regression with cold carcass yield, leg perimeter, and conformation score was significant. The EUROP conformation and fatness scores can be used in Brazil for the prediction of lamb meat production.

Estudo exploratório da precificação dos cortes ovinos comercializados em mercados on line em diferentes países

“…Dessa forma, serviços e bens semelhantes tendem a ter preços parecidos. Ricardo et al (2016) atribuem a falta de uniformidade no mercado de carne ovina como um fator regulador da procura por cortes de carne de cordeiro, os quais variam nos teores de gordura e carne magra.…”

Multivariate modelling to estimate carcase characteristics and commercial cuts of Boer goats

“…Biometric measurements (BM) are essential to predict the quantitative characteristics of the meat and are also useful in the development of suitable selection criteria (Tesema et al ., 2019). BMs can also be used as an indirect way of estimating live weight and carcase characteristics due to the relative ease of measuring linear dimensions (Bingol et al ., 2011; Assan, 2013; Ricardo et al ., 2016; Bautista Diaz et al ., 2017). The BM correlation matrix can be used to predict live weight and carcase averages in goats (Abdel-Mageed and Ghanem, 2013; Tesema et al ., 2019) and sheep (Bautista-Diaz et al ., 2017; Costa et al ., 2020).…”

Predicting the carcass characteristics of Morada Nova lambs using biometric measurements

“…of describing and evaluating BW and carcass conformation characteristics, especially in the animal production sector (Ricardo et al, 2016).…”

“…The interpretation of several BM for estimating BW is difficult due to the high degree of correlation that can exist between them. Therefore, multiple regression analysis should be undertaken as a technique that exhibits a complex relationship between BW and BM and animal carcass measurements (Ricardo et al, 2016).…”