Predição da composição tecidual da paleta e do pernil de cordeiros a partir de medidas in vivo e da carcaça

Abstract

The objective of this study was study the correlations between corporal measures and carcass with the tissue components (bone, muscle and fat) and their proportions shoulder and leg of lambs, and developing regression equations for predicting tissue composition. Was used 20 carcass of lambs’ uncastrated, half-breed, with an average age of 162 days, final body weight 32.5 kg. Were performed corporal measures of CC (body condition), AA (withers height), AP (hindquarters height), LP (breast width), LG (hindquarters width), PT (thoracic perimeter), CCORP (body length) e PF (final body weight). Carcass measures were performed PCQ (weight hot carcass), RCQ (yield hot carcass), PCF (weight cold carcass), RCF (yield cold carcass, PPR (losses in the cooling), EGS (fat thickness), AOL (loin’s eye area), AOLPPC (loin’s eye area in relation of corporal weight), AOLPCQ (loin’s eye area in relation of weight of hot carcass), AOLPCF (loin’s eye area in relation of weight of cold carcass), COMPRICAR (carcass length), PROFPEI (depth of chest), ENG (fattening condition), CONF (conformation), TEXT (texture), COR (color) e MARM (marbling). On dissection of shoulder and leg cut’s, the tissue components related to subcutaneous fat; muscle; intermuscular fat; bone and others. The variables were tested by Pearson’s Correlation at 5% of significance and analyzed by Multiple Linear Regression, by Stepwise procedure. The equations that showed high coefficient of determination, being recommended for predicting the tissue composition of the shoulder, by measurements of carcass were GS (subcutaneous fat), %GS (percent in subcutaneous fat) and M:O (relation muscle:bone). The equation that showed high coefficient of determination, recommended for predicting tissue composition of the leg, from corporal measurements was M (muscle), as to the carcass measures, the equations M (muscle), %M (percent in muscle), GS (subcutaneous fat) and OUT (others components). The corporal measures are efficient in predicting the tissue composition of the carcass and the equations for predicting tissue composition of the shoulder, with coefficient of determination that ranged from moderate to strong. Carcass measures proved to be quite efficient and applicable only in the slaughter. The tissue composition can be estimated efficiently by corporal measures.