Using multivariate analysis to predict carcass characteristics of lambs in grazing and supplemented with different levels of non-protein nitrogen

Abstract

The aim of this study is to assess the effects of substituting soybean meal with extruded urea in the diet of crossbred Texel x no defined racial pattern lambs under continuous grazing on Brachiaria ssp., focusing on both their productive and nutritional performance. 60 Texel crossbred lambs (12 animals for each treatment) were used, with an average initial weight of 20.7 ± 0.87 kg and an average age of 2.5 ± 0.70 months, fed treatments with increasing levels of UE (Urea extruded Amireia® 200S): 0; 6; 12; 18 and 24 grams of EU 100/kg of body weight, with trial period was 5 months, using the multivariate technique. The data were subjected to principal component and canonical discriminant analysis to check possible differences between the evaluated treatments and identify the variables that best discriminate and use these variables to create a discriminant function that represents the differences between treatments. Of the 12 variables initially used, we observed that 9 were used by the main components, but 6 were those that presented the greatest discriminatory power for the study. Main component 1 was characterized by biometric measurements and showed the greatest power of variation in the study (60%), followed by main component 2, represented by slaughter weight and empty body weight (13%). These correlations indicate that biometric measurements can serve as reliable indirect indicators for estimating carcass traits in sheep, offering a practical alternative to visual assessments.