Research Article Open Access

Characterization of the Sheep Farming System in the Brazilian Semiarid from the Multivariate Perspective

Janaina Kelli Gomes Arandas1, Ângelo Giuseppe Chaves Alves1, Olivardo Facó2, Ernandes Barboza Belchior2, Luciana Shiotsuki2 and Maria Norma Ribeiro3
  • 1 University Federal Rural de Pernambuco, Brazil
  • 2 Embrapa Caprinos e Ovinos, Brazil
  • 3 Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil
American Journal of Animal and Veterinary Sciences
Volume 15 No. 3, 2020, 185-197

DOI: https://doi.org/10.3844/ajavsp.2020.185.197

Published On: 1 July 2020

How to Cite: Arandas, J. K. G., Alves, . G. C., Facó, O., Belchior, E. B., Shiotsuki, L. & Ribeiro, M. N. (2020). Characterization of the Sheep Farming System in the Brazilian Semiarid from the Multivariate Perspective. American Journal of Animal and Veterinary Sciences, 15(3), 185-197. https://doi.org/10.3844/ajavsp.2020.185.197

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.

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Keywords

  • Multivariate Analysis
  • Breeding Practices
  • Local Breed
  • Livestock System
  • Small Ruminants