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

  • 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
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.

|Abstract
= 72 veces | PDF
= 68 veces|

Downloads

Download data is not yet available.

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.

References

Agudelo-Gómez D, Pineda-Sierra S, Cerón-Muñoz MF. Genetic Evaluation of dual-purpose buffaloes (Bubalus bubalis) in Colombia using principal component analysis. PloS ONE 2015; 10:1-9.

Afzal M, Anwar M, Mirza MA. Some factors affecting milk yield and lactation length in Nili Ravi buffaloes. Pakistan Vet J 2007:113-117.

Aziz MA, Schoeman SJ, Jordaan GF, El-Chafie OM, Mahdy AT. Genetic and phenotypic variation of some reproductive traits in Egyptian buffalo. SASAS 2001; 31(3):195-199.

Barros, CC, Aspilcueta-Borquis, RR, Fraga, AB, Tonhati, H. Genetic parameter estimates for production and reproduction traits in dairy buffaloes. Rev Caatinga 2016; 29(1):216-221.

Borquis RRA, Araújo Neto FR, Baldi F, Bignardi AB, Albuquerque LG, Tonhati H. Genetic parameters for buffalo milk yield and milk quality traits using Bayesian inference. J Dairy Sci 2010; 93:2195-2201.

Food and Agriculture Organization of the United Nations – FAO. Live Animals 2014.

Fraga AB, Silva FL, Hongyu K, Santos DDS, Murphy TW, Lopes FB. Multivariate analysis to evaluate genetic groups and production traits of crossbred Holstein × Zebu cows. Trop Anim Health Prod 2016; 48:533-538.

González A, Luque M, Rodero E, González C, Aguilera R, Jiménez J, Sepúlveda N, Bravo S, Herrera M. Use of morphometric variables for differentiating Spanish hound breeds. Int J Morphol 2011; 29:1248-1255.

Husson F, Josse J, Lê S. FactoMineR: Multivariate Exploratory Data Analysis and Data Mining/R package version 1.33 2016.

Jolliffe IT. Discarding Variables in a Principal Component Analysis I: Artificial Data. J Roy Stat Soc 1972; 21:160-173.

Kadegowda AKG, Piperova LS, Erdman R A. Principal component and multivariate analysis of milk long-chain fatty acid composition during diet-induced milk fat depression. J Dairy Sci 2008; 91:749-759.

Jolliffe IT. Discarding Variables in a Principal Component Analysis II: Real Data. J Roy Stat Soc 1973; 22:21-31.

Lê S, Josse J, Husson F. FactoMineR: An R Package for Multivariate Analysis. J Stat Softw 2008; 25:1-18.

Malhado CHM, Ramos AA, Carneiro PLS, Azevedo DMMR, Affonso PRAM, Pereira DG, Souza JC. Estimativas de parâmetros genéticos para características reprodutivas e produtivas de búfalas mestiças no Brasil. Rev Bras Saúde Prod An 2009; 10(4):830-839.

Neser FWC, Erasmus GJ, Scholtz MM. The use of a cluster analysis in across herd genetic evaluation for beef cattle. South African J Anim Sci 2008; 38:51-57.

Oliveira DP, Barros CC, Araújo Neto FR, Lourenco DAL, Hurtado-Lugo NA, Tonhati H. Principal Components for Reproductive and Productive Traits in Buffaloes from Brazil. Proceedings of the 10th World Congress of Genetics Applied to Livestock Production, Aug 17-22, Vancouver, Canada; 2014.

Pereira RGA, Barbosa SBP, Lopes CRA, Santoro KR, Townsend CR, Magalhães JA, Silva Neto FG, Costa NL. Intervalo de partos em rebanho bubalino no Estado de Rondônia. 53th Boletim de Pesquisa e Desenvolvimento, Embrapa Rondônia, Porto Velho, RO, Brazil; 2008.

RStudio Team. RStudio: Integrated Development for R. RStudio,Inc., Boston, MA, USA; 2016.

Ramos AA, Malhado, CHM, Carneiro, PLS, Gonçalves, HC, Azevedo, DMMR. Caracterização fenotípica e genética da produção de leite e do intervalo entre partos em bubalinos da raça Murrah. Pesquisa Agropecuária Brasileira 2006; 41(8):1261-1267.

Rencher A. Methods of multivariate analysis. 2nd ed. John Wiley & Sons, Inc, New York, NY, USA; 2002.

Rodrigues AE, Marques JRF, Araújo CV, Camargo Jr RNC, Dias LNS. Estimação de parâmetros genéticos para características produtivas em búfalos na Amazônia Oriental. Arq Bras Med Vet Zoo 2010; 62:712-717.

Ventura HT, Lopes PS, Peloso JV, Guimarães SEF, Carneiro APS, Carneiro PLS. Use of multivariate analysis to evaluate genetic groups of pigs for dry-cured ham production. Livest Sci 2012; 148:214-220.

Vohra V, Niranjan SK, Mishra AK, Jamuna V, Chopra A, Sharma N, Jeong DK. Phenotypic characterization and multivariate analysis to explain body conformation in lesser known buffalo (Bubalus bubalis) from North India. Asian-Aust J Anim Sci 2015; 28:311-317.

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
Section
Original research articles