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Multivariate analysis of milk yield, lactation length and calving interval in female buffaloes

2018; Universidad de Antioquia; Volume: 31; Issue: 2 Linguagem: Inglês

10.17533/udea.rccp.v31n2a03

2256-2958

Jailton S Bezerra, FABIANE L. SILVA, Kuang Hongyu, Alberto G Couto, Rosália B N Medeiros, Filipe Chagas Teodózio de Araújo, Luciano Gomes de Lima, Angelina Bossi Fraga,

Genetics and Plant Breeding

Background:The global market has an increasing demand for buffalo by-products due to their unique nutritional characteristics.Many buffalo herds lack suitable breeding control programs, hindering the implementation of selection programs.Objective: To evaluate milk production per lactation (MP), lactation length (LL), and calving interval (CI) of a herd of crossbred Murrah buffaloes to support buffalo clustering according to their potential.Methods: Data from 543 lactations between 2002 and 2014 from 105 crossbred Murrah female buffaloes were used.Data were subjected to principal component analysis (PCA) and cluster analysis.Results: The first components (PCs) were responsible for 92.32% of the total variation, of which 61.45 and 30.87% were explained by the first (PC 1 ) and second (PC 2 ) components, respectively.The cluster analysis allowed three female buffalo groups according to their potentials.Conclusion: Buffalo farmers can make decisions on nutritional, reproductive management and cow culling based on grouping.