Autoria: ARANDAS, J. K. G.; ALVES, A. G. C.; FACO, O.; BELCHIOR, E. B.; SHIOTSUKI, L.; RIBEIRO, M. N.

Resumo: Abstract: This study aimed to characterize the purebred Morada Nova sheep and crossbred farming systems in Ceará State, Brazil, through multivariate analysis. The study was carried out in the Morada Nova municipality in Ceará. Thirteen representative Morada Nova pure sheep Breeders (MNB) and 48 crossbreds? breeders of Morada Nova with other breeds (CMN) were interviewed. Was used a questionnaire-based including 12 variables: Breeder Age (BA); Herd Size (HS); Breeding System (BS); feed Supplementation (SUPLE); season feed supplementation (winter or summer); Age at Sexual maturity of Ram (ASR); Ram Discard Age (RDA); Age at Sexual maturity of the Ewe (ASE); Ewe Discard Age (EDA); Commercialization (COM); family participation (FAMP); Main Breeder Activity (MBA). Descriptive statistics and variance analysis were performed, followed by Tukey's test for the comparison of the farming systems of the two studied groups. Variables that characterize the farming systems were subjected to factorial analysis, cluster and discriminant analysis. Based on the factorial analysis, the variables SUPLE, SEASON, ASR, EDA, BA, HS and MBA most significantly contributed to the characterization of farming systems in both studied groups. There was obtained a high level of error classification of breeders to their origin group, due to the handling homogeneity between the studied groups. Multivariate analyses are useful for characterizing the farming system, but the results found can be influenced by the nature or characteristics of the data evaluated.

Ano de publicação: 2020

Tipo de publicação: Artigo de periódico

Unidade: Embrapa Caprinos e Ovinos

Palavras-chave: Analysis of variance, Análise multivariada, Brasil, Breeding Practices, Crossing, Cruzamento, Livestock System, Livestock breeds, Local Breed, Multivariate analysis, Método Estatístico, Ovino, Raça Morada Nova, Raça local, Região Nordeste, Semiárido, Sheep breeds, Small ruminants