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Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes

Published online by Cambridge University Press:  07 November 2011

Rúsbel R Aspilcueta-Borquis ,
Fernando Baldi ,
Francisco R Araujo Neto ,
Lucia G Albuquerque ,
Milthon Muñoz-Berrocal  and
Humberto Tonhati
Rúsbel R Aspilcueta-Borquis
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal, SP, Brazil, 14884 900
Fernando Baldi
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal, SP, Brazil, 14884 900
Francisco R Araujo Neto
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal, SP, Brazil, 14884 900
Lucia G Albuquerque
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal, SP, Brazil, 14884 900 Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq) and Instituto Nacional de Ciência e Tecnologia – Ciência Animal (INCT- CA), Viçosa, MG, Brazil, 36570 000
Milthon Muñoz-Berrocal
Affiliation:
Universidad Nacional Agraria de la Selva, Aptdo. 156, UNAS-Tingo Maria-Peru
Humberto Tonhati*
Affiliation:
Department of Animal Science, São Paulo State University (FCAV/UNESP), Jaboticabal, SP, Brazil, 14884 900 Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq) and Instituto Nacional de Ciência e Tecnologia – Ciência Animal (INCT- CA), Viçosa, MG, Brazil, 36570 000
*
*For correspondence; e-mail: [email protected]
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Abstract

The objective of this study was to apply factor analysis to describe lactation curves in dairy buffaloes in order to estimate the phenotypic and genetic association between common latent factors and cumulative milk yield. A total of 31 257 monthly test-day milk yield records from buffaloes belonging to herds located in the state of São Paulo were used to estimate two common latent factors, which were then analysed in a multi-trait animal model for estimating genetic parameters. Estimates of (co)variance components for the two common latent factors and cumulated 270-d milk yield were obtained by Bayesian inference using a multiple trait animal model. Contemporary group, number of milkings per day (two levels) and age of buffalo cow at calving (linear and quadratic) as covariate were included in the model as fixed effects. The additive genetic, permanent environmental and residual effects were included as random effects. The first common latent factor (F1) was associated with persistency of lactation and the second common latent factor (F2) with the level of production in early lactation. Heritability estimates for F1 and F2 were 0·12 and 0·07, respectively. Genetic correlation estimates between F1 and F2 with cumulative milk yield were positive and moderate (0·63 and 0·52). Multivariate statistics employing factor analysis allowed the extraction of two variables (latent factors) that described the shape of the lactation curve. It is expected that the response to selection to increase lactation persistency is higher than the response obtained from selecting animals to increase lactation peak. Selection for higher total milk yield would result in a favourable correlated response to increase the level of production in early lactation and the lactation persistency.

Keywords

Multivariate analysisGibbs samplerbuffaloesgenetic parametersmilk yield
Type
Research Article
Information
Journal of Dairy Research , Volume 79 , Issue 1 , February 2012 , pp. 60 - 65
Copyright
Copyright © Proprietors of Journal of Dairy Research 2011

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References

Ali, E & Schaeffer, LR 1987 Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science 67 637–644CrossRefGoogle Scholar
Aspilcueta-Borquis, R, Bignardi, AB, Seno, LO, Camargo, GM, Muñoz-Berrocal, M, Albuquerque, LG, Di Palo, R & Tonhati, H 2010 Genetic parameters for milk yield analyzed by test-day models in Murrah buffaloes in Brazil. Italian Journal of Animal Science 9 179–182Google Scholar
Chaves, LC, Daher, SE, Schierholt, AS, Araújo, CV, Dib Taxi, CM, Silva, CP, Brito, LC, Oliveira, TR, Torres, RA & Tonhati, H 2010 Genetic evaluation of persistency of milk yield in dairy buffaloes using random regression model. Revista Veterinaria 21 391–391Google Scholar
Cobuci, JA, Euclydes, RF, Costa, CN, Lopes, PS, Torres, RA & Pereira, CS 2004 Analysis of persistency in the lactation of Holstein cows using test-day yield and random regression model. Brazilian Journal of Animal Science 33 546–554Google Scholar
Dorneles, CKP, Rorato, PRN, Cobuci, JA, Lopes, SJ, Weber, T & Oliveira, HN 2009 Lactation persisitency for Holstein cows raised in the State of Rio Grande do Sul using a random regression model. Ciência Rural 39 1485–1491CrossRefGoogle Scholar
Haile-Mariam, M, Bowman, PL & Goddard, ME 2003 Genetic and environmental relationship among calving interval, survival, persistency of milk yield and somatic cell count in dairy cattle. Livestock Production Science 80 189–200CrossRefGoogle Scholar
Jamrozik, J, Schaeffer, LR & Dekkers, JCM 1997 Genetic evaluation of dairy cattle using test day yields and random regression model. Journal of Dairy Science 80 1217–1226CrossRefGoogle ScholarPubMed
Macciotta, NPP, Vicario, D & Cappio-Borlino, A 2006 Use of multivariate analysis to extract latent variables realted to level of production and lactation persistency in dairy cattle. Journal of Dairy Science 89 3188–3194CrossRefGoogle Scholar
Macciotta, NPP, Vicario, D, Dimauro, C & Cappio-Borlino, A 2004 A multivariate approach to modelling shapes of individual lactation curves in cattle. Journal of Dairy Science 87 1092–1098CrossRefGoogle ScholarPubMed
Misztal, I 2007 BLUPF90 family of programs. http://nce.ads.uga.edu/~ignacy/newprograms.html Accessed 12 March 2010Google Scholar
Muir, BL, Fatehi, J & Schaeffer, LR 2004 Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holsteins. Journal of Dairy Science 87 3029–3037CrossRefGoogle ScholarPubMed
Pool, MH, Janss, LLG & Meuwissen, THE 2000 Genetic parameters of Legendre polynomials for first parity lactation curves. Journal Dairy Science 83 2640–2649CrossRefGoogle ScholarPubMed
Rekaya, R, Carabano, MJ & Toro, MA 2000 Bayesian analysis of lactation curves of Holstein-Friesian cattle. Journal of Dairy Science 83 2691–2701CrossRefGoogle ScholarPubMed
Rekaya, R, Weigel, KA & Gianola, D 2001 Hierarchical nonlinear model for persistency of milk yield in the first three lactations of Holsteins. Livestock Production Science 68 181–187CrossRefGoogle Scholar
Rosati, A & Van Vleck, LD 2002 Estimation of genetic parameters for milk, fat, protein and mozzarella cheese production in Italian river buffalo population. Livestock Production Science 74 185–190CrossRefGoogle Scholar
Swalve, HH 1995 Genetic relationship between dairy lactation persistency and yield. Journal of Animal Breeding Genetics 112 303–311CrossRefGoogle Scholar
Thevamanoharan, K, Vandepitte, W, Mohiuddin, G & Shafique, M 2000 Genetic, phenotypic and residual correlation between various performance traits of Nili-Ravi buffaloes. Buffalo Bulletin 19 80–86Google Scholar
Tonhati, H, Muñoz, MFC, Duarte, JMC, Reichert, RH, Oliveira, JA, Lima, ALF 2004 Estimates of correction factors for lactation length and genetic parameters for milk yield in buffaloes. Arquivo Brasileiro de Medicina Veterinária e Zootecnia 56 251–257CrossRefGoogle Scholar
Tonhati, H, Cerón-Muñoz, MF, Oliveira, JO, El Faro, L, Lima, FAL & Albuquerque, LG 2008 Test-day milk yield as a selection criterion for dairy buffaloes (Bubalus bubalis Artiodactyla, Bovidae). Genetic Molecular Biology 31 674–679CrossRefGoogle Scholar
Van der Linde, R, Groen, A & de Jong, G 2000 Estimation of genetic parameters for persistency of milk production in dairy cattle Proceedings of the 2000 Interbull Meeting in Bled Slovenia 14–15 May 2000 Interbull Bull 25 113–116 Available at: http://www-interbull.slu.se/bulletins/bulletin25/van_der_Linde.pdfGoogle Scholar
Van Kaam, JBCHM 1997 Gibanal: Analyzing program for Markov Chain Monte Carlo sequences version 2.4 Department of Animal Science, Wageningen Agricultural University, Wageningen, The NetherlandsGoogle Scholar
Wilmink, JBM 1987a Efficiency of selection for different cumulative milk, fat and protein yields in first lactation. Livestock Production Science 17 211–224CrossRefGoogle Scholar
Wilmink, JBM 1987b Comparison of different methods of predicting 305-day milk yield using means calculated from within-herd lactation curves. Livestock Production Science 17 1–17CrossRefGoogle Scholar
Yilmaz, I, Eyduran, E, Kaygisiz, A & Javed, K 2011 Estimates of genetic parameters for lactation shape parameters with multivariate statistical technique in Brown Swiss cattle. International Journal of Agriculture Biology 13 174–178Google Scholar
Zicarelli, L 2004 Buffalo milk: its properties, dairy yield and Mozzarella production. Veterinary Research Communication 28 127–135CrossRefGoogle ScholarPubMed