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Genetic parameters for first lactation test-day milk flow in Holstein cows

  • M. M. M. Laureano (a1), A. B. Bignardi (a2), L. El Faro (a3), V. L. Cardoso (a3) and L. G. Albuquerque (a2) (a4)...


Genetic parameters for test-day milk flow (TDMF) of 2175 first lactations of Holstein cows were estimated using multiple-trait and repeatability models. The models included the direct additive genetic effect as a random effect and contemporary group (defined as the year and month of test) and age of cow at calving (linear and quadratic effect) as fixed effects. For the repeatability model, in addition to the effects cited, the permanent environmental effect of the animal was also included as a random effect. Variance components were estimated using the restricted maximum likelihood method in single- and multiple-trait and repeatability analyses. The heritability estimates for TDMF ranged from 0.23 (TDMF 6) to 0.32 (TDMF 2 and TDMF 4) in single-trait analysis and from 0.28 (TDMF 7 and TDMF 10) to 0.37 (TDMF 4) in multiple-trait analysis. In general, higher heritabilities were observed at the beginning of lactation until the fourth month. Heritability estimated with the repeatability model was 0.27 and the coefficient of repeatability for first lactation TDMF was 0.66. The genetic correlations were positive and ranged from 0.72 (TDMF 1 and 10) to 0.97 (TDMF 4 and 5). The results indicate that milk flow should respond satisfactorily to selection, promoting rapid genetic gains because the estimated heritabilities were moderate to high. Higher genetic gains might be obtained if selection was performed in the TDMF 4. Both the repeatability model and the multiple-trait model are adequate for the genetic evaluation of animals in terms of milk flow, but the latter provides more accurate estimates of breeding values.


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Boettcher, PJ, Dekkers, JCM, Kolstad, BW 1998. Development of an udder health index for sire selection based on somatic cell score, udder conformation, and milking speed. Journal Dairy Science 81, 11571168.
Bagnato, A, Rossoni, A, Maltecca, C, Vigo, D, Ghiroldi, S 2003. Milk emission curves in different parities in Italian Brown Swiss cattle. Italian Journal Animal Science 2, 4648.
Bignardi, AB, El Faro, L, Albuquerque, LG, Cardoso, VL, Machado, PF 2008. Modelos de dimensão finita para a estimação de parâmetros genéticos para a produção de leite de primeiras lactações de vacas da raça Holandesa. Ciência Rural 38, 17051710.
Boldman, KG, Kriese, LA, Van Vleck, LD, Van Tessel, CP, Kachman, SD 1995. A manual for use of MTDFREML: a set of programs to obtain estimates of variance and (co)variance (DRAFT). Lincoln, USDA/ARS.
Dukes, HH 1996. Fisiologia dos animais domésticos, 11th edition. Rio de Janeiro, Guanabara Koogan.
El Faro, L, Albuquerque, LG 2003. Estimação de parâmetros genéticos para produção de leite no dia do controle e para a produção acumulada até 305 dias, para as primeiras lactações de vacas da raça Holandesa. Revista Brasileira Zootecnia 32, 284294.
Ferreira, WJ, Teixeira, NM, Euclydes, RF, Verneque, RS, Lopes, PS, Torres, RA, Wenceslau, AA, Silva, MVGS, Magalhaes, MN Jr 2003. Avaliação genética de bovinos da raça holandesa usando a produção de leite no dia do controle. Revista Brasileira Zootecnia 32, 295303.
Hammami, H, Rekik, B, Soyeurt, H, Ben Gara, A, Gengler, N 2008. Genetic parameters for Tunisian Holsteins using a test-day random regression model. Journal Dairy Science 91, 21182126.
Melo, CMR, Packer, IU, Costa, CN, Machado, PF 2005. Parâmetros genéticos para as produções de leite no dia do controle e da primeira lactação de vacas da raça Holandesa. Revista Brasileira Zootecnia 34, 796806.
Meyer, K 1991. Estimating variances and covariances for multivariate animal models by restricted maximum likelihood. Genetics Selection Evolution 23, 6783.
Miglior, F, Gong, W, Wang, Y, Kistemaker, GJ, Sewalem, A, Jamrozik, J 2009. Genetic parameters of production traits in Chinese Holsteins using a random regression test-day model. Journal Dairy Science 92, 46974706.
Misztal, I 2001. RELMF90 Manual. Retrieved February 7, 2008 from
Njubi, DM, Wakhungu, JW, Badamana, MS 2010. Use of test-day records to predict first lactation 305-day milk yield using artificial neural network in Kenyan Holstein–Friesian dairy cows. Tropical Animal Health and Production 42, 639644.
Povinelli, M, Romani, C, Degano, L, Cassandro, M, Dal Zotto, R, Bittante, G 2003. Sources of variation and heritability estimates for milking speed in Italian Brown cows. Italian Journal Animal Science 2, 7072.
Rensing, S, Ruten, W 2005. Genetic evaluation for milking speed in German Holstein population using different traits in a multiple trait repeatability model. INTERBULL MEETING Proceedings, Uppsala, Sweden, June 2–4, 2005, Bulletin 33, pp. 167–170.
Seykora, AJ, Mcdaniel, BT 1985. Heritabilities of teat traits and their relationships with milk yield, somatic cell count, and percentage of two-minute milk. Journal Dairy Science 68, 26702683.
Vicario, D, Degano, L Carnier, P, 2006. Test-day model for national genetic evaluation of somatic cell count in Italian Simmental Population. INTERBULL Meeting Proceedings, Uppsala, Sweden, Bulletin 33, pp. 171–175.
Zwald, NR, Weigel, KA, Chang, YM, Welper, RD, Clay, JS 2005. Genetic evaluation of dairy sires for milking duration using electronically recorded milking times of their daughters. Journal Dairy Science 88, 11921198.



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