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A new way to measure milk yield persistency: a genetic point of view with application to Gyr (Bos indicus) cattle

Published online by Cambridge University Press:  05 August 2015

Rodrigo Junqueira Pereira ,
Denise Rocha Ayres ,
Lenira El Faro ,
Aníbal Eugênio Vercesi Filho ,
Rui da Silva Verneque  and
Lucia Galvão de Albuquerque
Rodrigo Junqueira Pereira*
Affiliation:
Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Rodovia Carlos Tonnani, Km 5, CEP 14870 -000 Jaboticabal, SP, Brazil Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Mato Grosso, MT-270, Km 06, CEP 78735-001, Campus Rondonópolis, MT, Brazil
Denise Rocha Ayres
Affiliation:
Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Rodovia Carlos Tonnani, Km 5, CEP 14870 -000 Jaboticabal, SP, Brazil Grupo de Melhoramento Animal de Mato Grosso (GMAT), Instituto de Ciências Agrárias e Tecnológicas, Universidade Federal de Mato Grosso, MT-270, Km 06, CEP 78735-001, Campus Rondonópolis, MT, Brazil
Lenira El Faro
Affiliation:
Instituto de Zootecnia, Rodovia Carlos Tonanni, Km 94, CEP 14160-900, Sertãozinho, SP, Brazil
Aníbal Eugênio Vercesi Filho
Affiliation:
Instituto de Zootecnia, Rodovia Carlos Tonanni, Km 94, CEP 14160-900, Sertãozinho, SP, Brazil
Rui da Silva Verneque
Affiliation:
Embrapa Gado de Leite, Rua Eugênio do Nascimento, 610, Bairro Dom Bosco, CEP 36038-330, Juiz de Fora, MG, Brazil
Lucia Galvão de Albuquerque
Affiliation:
Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Rodovia Carlos Tonnani, Km 5, CEP 14870 -000 Jaboticabal, SP, Brazil
*
*For correspondence; e-mail: rodjunper@gmail.com
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Abstract

The objective of this work was to estimate genetic parameters for a measure of persistency of milk yield and to evaluate its association with 305-d cumulative milk yield and lactation length. 12 346 records from 8202 dairy Gyr cows including lactations up to fifth calving were used. The measure of persistency was obtained from one of the parameters of a quadratic model that describes the cumulative yield across lactation as a function of days in milk. A three-trait multivariate analysis was done. Heritability and repeatability for persistency were 0·08 and 0·21, respectively. Deviance Information Criterion provided evidence that the additive genetic covariance between the measure of persistency studied and 305-d cumulative yield is zero. Genetic correlations between persistency and lactation length were 0·50 and 0·27 for first or all lactations, respectively. Milk yield persistency as measured in this study has low heritability. Selection for persistency can increase lactation length. The measure of milk yield persistency studied here is genetically independent of total milk yield and can be included in routine genetic evaluations of dairy cattle.

Keywords

Bayesian inferencedairy cattlegenetic parameterspersistency
Type
Research Article
Information
Journal of Dairy Research , Volume 82 , Issue 4 , November 2015 , pp. 385 - 390
Copyright
Copyright © Proprietors of Journal of Dairy Research 2015 

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References

Ali, TE & Schaeffer, LR 1987 Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science 67 637–644CrossRefGoogle Scholar
Appuhamy, JADRN, Cassell, BG, Dechow, CD & Cole, JB 2007 Phenotypic relationships of common health disorders in dairy cows to lactation persistency estimated from daily milk weights. Journal of Dairy Science 90 4424–4434CrossRefGoogle ScholarPubMed
Appuhamy, JADRN, Cassell, BG & Cole, JB 2009 Phenotypic and genetic relationships of common health disorders with milk and fat yield persistencies from producer-recorded health data and test day yields. Journal of Dairy Science 92 1785–1795CrossRefGoogle ScholarPubMed
Butler, WR 2000 Nutritional interactions with reproductive performance in dairy cattle. Animal Reproduction Science 60–61 449–457CrossRefGoogle ScholarPubMed
Cole, JB & Vanraden, PM 2006 Genetic evaluation and best prediction of lactation persistency. Journal of Dairy Science 89 2722–2728CrossRefGoogle ScholarPubMed
Cole, JB & Null, DJ 2009 Genetic evaluation of lactation persistency for five breeds of dairy cattle. Journal of Dairy Science 92 2248–2258CrossRefGoogle ScholarPubMed
Haile-Mariam, M, Bowman, PJ & Goddard, ME 2003 Genetic and environmental relationship among calving interval, survival, persistency of milk yield and somatic cell count in dairy cattle. Livestock Prodution Science 80 189–200CrossRefGoogle Scholar
Harder, B, Bennewitz, J, Hinrichs, D & Kalm, E 2006 Genetic parameters for health traits and their relationship to different persistency traits in German Holstein dairy cattle. Journal of Dairy Science 89 3202–3212CrossRefGoogle ScholarPubMed
Hickson, RE, Lopez-Villalobos, N, Dalley, DE, Clark, DA & Holmes, CW 2006 Yields and persistency of lactation in Friesian and Jersey cows milked once daily. Journal of Dairy Science 89 2017–2024CrossRefGoogle ScholarPubMed
Jakobsen, JH, Madsen, P, Jensen, J, Pedersen, J, Christensen, LG & Sorensen, DA 2002 Genetic parameters for milk production and persistency for Danish Holstein estimated in random regression models using REML. Journal of Dairy Science 85 1607–1616CrossRefGoogle ScholarPubMed
Jakobsen, JH, Rekaya, R, Jensen, J, Sorensen, DA, Madsen, P, Gianola, D, Christensen, LG & Pedersen, J 2003 Bayesian estimates of covariance components between lactation curve parameters and disease liability in Danish Holstein cows. Journal of Dairy Science 86 3000–3007CrossRefGoogle ScholarPubMed
Kamidi, RE 2005 A parametric measure of lactation persistency in dairy cattle. Livestock Production Science 96 141–148CrossRefGoogle Scholar
Lang, SLC, Iverson, SJ & Bowen, WD 2012 Primiparous and multiparous females differ in mammary gland alveolar development: implications for milk production. Journal of Experimental Biology 215 2904–2911CrossRefGoogle ScholarPubMed
Misztal, I 2011 BLUPF90 Manual. http://nce.ads.uga.edu/~ignacy/newprograms.html Accessed on 12/09/2011Google Scholar
Muir, BL, Fatehi, J & Schaeffer, LR 2004 Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holstein. Journal of Dairy Science 87 3029–3037CrossRefGoogle Scholar
Pereira, RJ, Santana, JRML, Bignardi, AB, Verneque, RS, El Faro, L & Albuquerque, LG 2011 Effect of pregnancy on the genetic evaluation of dairy cattle. Genetics and Molecular Research 10 2190–2201CrossRefGoogle ScholarPubMed
Pereira, RJ, Verneque, RS, Lopes, PS, Santana, ML Jr, Lagrotta, MR, Torres, RA, Vercesi Filho, AE & Machado, MA 2012 Milk yield persistency in Brazilian Gyr cattle based on a random regression model. Genetics and Molecular Research 11 1599–1609CrossRefGoogle ScholarPubMed
Pereira, RJ, Bignardi, AB, El Faro, L, Verneque, RS, Vercesi Filho, AE & Albuquerque, LG 2013 Random regression models using Legendre polynomials or linear Splines for test-day milk yield of Dairy Gyr (Bos indicus) cattle. Journal of Dairy Science 96 565–574CrossRefGoogle ScholarPubMed
Santos, FAP, Martinez, JC, Greco, LF, Carareto, R & Penati, MA 2007 Supplementation of grazing cows: technical and economic considerations seeking greater profitability. In The Brazil and the New Era of the Milk Market - Understanding to Compete, 1st edition. pp. 249–300 (eds Carvalho, MP, Santos, MV (Org.)). Uberlância, MG: Impressão Gráfica Rio PedrenseGoogle Scholar
Smith, BJ 2007 boa: an R Package for MCMC Output Convergence Assessment and Posterior Inference. Journal of Statistical Software 21 1–37CrossRefGoogle Scholar
Spiegelhalter, DJ, Best, NG, Carlin, BP & Van Der Linde, A 2002 Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 64 583–639CrossRefGoogle Scholar
Togashi, K & Lin, CY 2004 Efficiency of different selection criteria for persistency and lactation milk yield. Journal of Dairy Science 87 1528–1535CrossRefGoogle ScholarPubMed