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

Hélio de Almeida Ricardo*, Roberto de Oliveira Roça, Nicola Ross Lambe, Leonardo de Oliveira Seno, Ingrid Harumi de Souza Fuzikawa, Alexandre Rodrigo Mendes Fernandes

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)
    6 Downloads (Pure)

    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.

    Original languageEnglish
    Pages (from-to)639-644
    Number of pages6
    JournalRevista Brasileira de Zootecnia
    Volume45
    Issue number10
    Early online date1 Oct 2016
    DOIs
    Publication statusFirst published - 1 Oct 2016

    Keywords

    • Regression models
    • Retail cuts
    • Sheep

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