Dimensionality reduction of variables in animal nutrition studies: an approach using discriminant analysis
DOI:
https://doi.org/10.5327/fst.596Palavras-chave:
carcass quality, dimensionality reduction, food industry impact, lamb’s meatResumo
This study aimed to evaluate the effect of including spineless cactus (Opuntia spp.) at different levels (0, 250, 500, and 750 g/kg of dry matter) in sheep diets on carcass traits, performance, muscle strength, color, and commercial cuts. Multivariate analyses, including discriminant and canonical analyses, were applied to identify the variables with the greatest discriminatory power among the experimental groups. The first canonical function explained 79.63% of the cumulative variance, while the second function increased this value to 95.07%, demonstrating the model’s efficiency. Variables such as shoulder, serrote, rib, leg, and muscle strength were key in distinguishing the groups, especially between the extreme levels of inclusion. The Mahalanobis distance confirmed the distinction between treatments, with 100% accuracy in classifying the 0 and 750 g/kg groups. The two-dimensional distribution revealed overlap among intermediate levels, suggesting a gradual response to cactus inclusion. The results indicate that spineless cactus is a viable alternative for semi-arid regions, with the potential to improve carcass yield and cut quality, while also demonstrating the effectiveness of multivariate techniques in the integrated evaluation of productive parameters.
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