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Revista Colombiana de Ciencias Pecuarias
Print version ISSN 0120-0690
Abstract
BEZERRA JUNIOR, Jailton S et al. Multivariate analysis of milk yield, lactation length, and calving interval in female buffaloes. Rev Colom Cienc Pecua [online]. 2018, vol.31, n.2, pp.103-109. ISSN 0120-0690. https://doi.org/10.17533/udea.rccp.v31n2a03.
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.
Keywords : Bubalus bubalis; cluster analysis; crossbred Murrah buffalo; dendrogram; principal component.
