Análise discriminante baseada nos escores de conformação e acabamento de carcaça de ovinos

Marilene dos Santos Maciel; Janaína Kelli Gomes Aranhas; Francisco Fernando Ramos de  Carvalho; George Rodrigo Beltrão da  Cruz; Neila Lidiany  Ribeiro; Maria Norma  Ribeiro

doi:10.1590/1983-21252023v36n121rc

Authors

Marilene dos Santos Maciel Department of Animal Science, Universidade Federal Rural de Pernambuco, Recife, PE https://orcid.org/0000-0003-4234-9764
Janaína Kelli Gomes Aranhas Department of Animal Science, Universidade Federal Rural de Pernambuco, Recife, PE https://orcid.org/0000-0002-0582-0978
Francisco Fernando Ramos de Carvalho Department of Animal Science, Universidade Federal Rural de Pernambuco, Recife, PE https://orcid.org/0000-0001-9211-0263
George Rodrigo Beltrão da Cruz Department of Animal Science at the Center for Human, Social and Agrarian Sciences, Universidade Federal da Paraíba, Bananeiras, PB https://orcid.org/0000-0002-8480-4625
Neila Lidiany Ribeiro Instituto Nacional do Semiárido, Campina Grande, PB https://orcid.org/0000-0002-6410-244X
Maria Norma Ribeiro Department of Animal Science, Universidade Federal Rural de Pernambuco, Recife, PE https://orcid.org/0000-0003-3373-3246

DOI:

https://doi.org/10.1590/1983-21252023v36n121rc

Keywords:

Multivariate methods. Santa Inês sheep. Carcass classification.

Abstract

Carcass classification consists of grouping animals with similar carcass characteristics. When the groups are defined a priori, as in the case of conformation and finishing scores, the interest is to identify the contribution of each variable used in separating the groups. Therefore, discriminant analysis was used to discriminate Santa Inês animals according to the conformation and carcass finishing scores (score 2 = regular, score 3 = good) and to identify the variables that most contribute to the differentiation. The conformation and carcass finishing scores vary from 1 to 5. This study used scores 2 and 3, considering that the evaluated animals ranged between these two respective scales. The database consisted of information from 122 uncastrated Santa Inês sheep submitted to the confinement regime, of which 24 variables related to the carcass of the animals were recorded. Data were submitted to the Mardia test to verify multivariate normality, followed by the nonparametric k-nearest neighbor (k-NN) test. The stepwise procedure selected a particular subset of variables, and the Mahalanobis Distance (D²) was used to assess the separation of groups (p-value ˂ 0.05). The variables with the highest discriminatory power for the carcass conformation scores were cold carcass weight (CCW), external carcass length (ECL), and neck (NEC), for carcass finishing were live weight at slaughter (LWS), ECL, and thoracic perimeter (TP). The multivariate discriminant analysis proved efficient in allocating the animals in their groups of origin.

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