02752naa a2200409 a 450000100080000000500110000800800410001902400420006010000220010224501330012426000090025752015560026665000250182265000130184765000260186065000170188665000200190365000150192365000250193865000100196365300260197365300110199965300230201065300210203365300210205465300160207565300160209165300220210765300210212965300150215070000200216570000130218570000200219870000180221870000190223677300870225521236252020-07-07       2020    bl uuuu     u00u1 u    #d7 aDOI: 10.3844/ajavsp.2020.185.1972DOI1 aARANDAS, J. K. G.  aCharacterization of the sheep farming system in the brazilian Semiarid from the multivariate perspective.h[electronic resource]  c2020  aAbstract: 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.  aAnalysis of variance  aCrossing  aMultivariate analysis  aSheep breeds  aSmall ruminants  aCruzamento  aMétodo Estatístico  aOvino  aAnálise multivariada  aBrasil  aBreeding Practices  aLivestock breeds  aLivestock System  aLocal Breed  aRaça local  aRaça Morada Nova  aRegião Nordeste  aSemiárido1 aALVES, A. G. C.1 aFACO, O.1 aBELCHIOR, E. B.1 aSHIOTSUKI, L.1 aRIBEIRO, M. N.  tAmerican Journal of Animal and Veterinary Sciencesgv. 15, n. 3, p. 185-197, 2020.