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

Authors

  • Jailton S. Bezerra Junior Federal University of Alagoas
  • Fabiane L. Silva Federal University of Recôncavo da Bahia
  • Kuang Hongyu Federal University of Mato Grosso
  • Alberto G. Couto Búfalo Bill
  • Rosália B. N. Medeiros Federal University of Alagoas
  • Filipe C. T. Araújo Federal University of Alagoas
  • Luciano G. Lima Federal University of Alagoas
  • Angelina B. Fraga Federal University of Alagoas

DOI:

https://doi.org/10.17533/udea.rccp.v31n2a03

Keywords:

Bubalus bubalis, cluster analysis, crossbred Murrah buffalo, dendrogram, principal component

Abstract

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 (PC1) and second (PC2) 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.

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Author Biographies

Jailton S. Bezerra Junior, Federal University of Alagoas

Zoo, MSc., Center for Agricultural Sciences, Federal University of Alagoas, Rio Largo, Brazil.

Fabiane L. Silva, Federal University of Recôncavo da Bahia

Zoo, PhD., Department of Agricultural, Environmental and Biological Sciences, Federal University of Recôncavo da Bahia, Cruz das Almas, Brazil.

Kuang Hongyu, Federal University of Mato Grosso

Math, PhD., Department of Statistics, Federal University of Mato Grosso, Cuiabá, Brazil.

Alberto G. Couto, Búfalo Bill

Civ. Eng., MSc., Búfalo Bill, São Luiz do Quitunde, Alagoas, Brazil.

Rosália B. N. Medeiros, Federal University of Alagoas

Zoo, PhD., Center for Agricultural Sciences, Federal University of Alagoas, Rio Largo, Brazil.

Filipe C. T. Araújo, Federal University of Alagoas

Zoo, MSc., Center for Agricultural Sciences, Federal University of Alagoas, Rio Largo, Brazil.

Luciano G. Lima, Federal University of Alagoas

Zoo, MSc., Center for Agricultural Sciences, Federal University of Alagoas, Rio Largo, Brazi

Angelina B. Fraga, Federal University of Alagoas

Zoo, PhD., Center for Agricultural Sciences, Federal University of Alagoas, Rio Largo, Brazil.

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Published

2018-06-20

How to Cite

Bezerra Junior, J. S., Silva, F. L., Hongyu, K., Couto, A. G., Medeiros, R. B. N., Araújo, F. C. T., Lima, L. G., & Fraga, A. B. (2018). Multivariate analysis of milk yield, lactation length and calving interval in female buffaloes. Revista Colombiana De Ciencias Pecuarias, 31(2), 103–109. https://doi.org/10.17533/udea.rccp.v31n2a03

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Original research articles