[en] Lactation persistency (LP) has been neglected over time in genetic evaluations of dairy goats. The main reason for this is the difficulty to infer about the lactation curve shape. However, some lactations models such as Wood seem to be appropriate to provide persistency estimates under biological viewpoints. The aim of this study was to fit the Wood lactation model as well as to calculate and evaluate LP as selection criteria in dairy goat breeding programs through genetic parameters estimates. A total of 23,265 first lactation test day milk yield observations from 900 animals were used. The Wood random regression model was primarily fitted to estimate the lactation curve parameters (a, b and c), and then LP and total milk yield (TMY). Posteriorly, a multi-trait animal model was fitted considering simultaneously LP and TMY. The heritability estimates were 0.31 and 0.04 for TMY and LP, respectively. Based on the low LP heritability, selection based only on this trait might be inefficient. In conclusion, the results of this study suggests that selecting for high milk yields might result in high persistency since the genetic correlation between LP and TMY was moderate (0.39).
Disciplines :
Animal production & animal husbandry
Author, co-author :
Barbosa Dias de Siqueira, Otávio Henrique Gomes
REIS MOTA, Rodrigo ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Oliveira, Hinayah Rojas
Souza Duarte, Darlene Ana ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Glória, Leonardo Siqueira
Rodrigues, Marcelo Texeira
Fonseca e Silva, Fabyano
Language :
English
Title :
Genetic evaluation of lactation persistency and total milk yield in dairy goats
Publication date :
July 2017
Journal title :
Livestock Research for Rural Development
eISSN :
0121-3784
Publisher :
Centro para la Investigación en Sistemas Sostenibles de Producción Agropecuaria, Cali, Colombia
Abdallah, J.M., McDaniel, B.T., Genetic parameters and trends of milk, fat, days open, and body weight after calving in North Carolina experimental herds (2000) Journal of Dairy Science, 83 (6), pp. 1364-1370. , http://www.journalofdairyscience.org/article/S0022-0302(00)75004-1/pdf
Cobuci, J.A., Euclydes, R.F., Costa, C.N., Lopes, P.S., Torres, R.A., Perreira, C.S., Análises da persistência na lactação de vacas da raça Holandesa, usando produção no dia do controle e modelo de regressão aleatória (2004) Revista Brasileira De Zootecnia, 33 (3), pp. 546-554. , http://www.scielo.br/pdf/rbz/v33n3/21476.pdf
Cole, J.B., Vanraden, P.M., Genetic evaluation and best prediction of lactation persistency (2006) Journal of Dairy Science, 89 (7), pp. 2722-2728. , http://www.journalofdairyscience.org/article/S0022-0302(09)70541-7/fulltext
Dekkers, J., Jamrozik, J., Ten Hag, J.H., Schaeffer, L.R., Weersink, A., Genetic and economic evaluation of persistency in dairy cattle (1996) Interbull Bulletin (12), pp. 97-102
Dekkers, J., Ten Hag, J.H., Weersink, A., Economic aspects of persistency of lactation in dairy cattle (1998) Livestock Production Science, 53 (3), pp. 237-252
Grossman, M., Hartz, S.M., Koops, W.J., Persistency of lactation yield: A novel approach (1999) Journal of Dairy Science, 82 (10), pp. 2192-2197. , http://www.journalofdairyscience.org/article/S0022-0302(99)75464-0/pdf
Guimarães, V.P., Rodrigues, M.T., Sarmento, J., Rocha, D.T., Utilização de funções matemáticas no estudo da curva de lactação em caprinos (2006) Revista Brasileira De Zootecnia, 35 (2), pp. 535-543. , http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982006000200028
Harder, B., Bennewitz, J., Hinrichs, D., Kalm, E., Genetic parameters for health traits and their relationship to different persistency traits in German Holstein dairy cattle (2006) Journal of Dairy Science, 89 (8), pp. 3202-3212. , http://www.journalofdairyscience.org/article/S0022-0302(06)72595-4/fulltext
Madsen, O., A comparison of some suggested measures of persistency of milk yield in dairy cows (1975) Animal Production, 20 (2), pp. 191-197
Melo, A., Torres, R.A., Ribeiro Júnior, J.I., Silva, F.F., Rodrigues, M.T., Silva, F.G., Brito, L.F., (2011) Identificação E Modelagem Da autocorrelação Residual No Ajuste Do Modelo De Wood às Curvas De lactação De Cabras, Ciência Rural, 41 (10), pp. 1818-1822
Meyer, K., WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML) (2007) Journal of Zhejiang University-Science B, 8 (11), pp. 815-821
Muir, B.L., Fatehi, J., Schaeffer, L.R., Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holsteins (2004) Journal of Dairy Science, 87 (9), pp. 3029-3037. , http://www.journalofdairyscience.org/article/S0022-0302(04)73435-9/fulltext
Pesántez, M., Hernández, A., Fraga, L.M., Persistency of milk yield in Anglo Nubia x Criolla goats (2014) Cuban Journal of Agriculture Science, 48 (4), pp. 337-342
Reents, R., Reinhardt, F., Abramowsky, M., Calculation of persistency proofs from the German multi-lactation model for production traits (1996) Interbull Bulletin, (12), pp. 103-107
Silva, F.F., Muniz, J.A., Aquino, L.H., Sáfadi, T., Abordagem Bayesiana da curva de lactação de cabras Saanen de primeira e segunda ordem de parto (2005) Pesquisa Agropecuária Brasileira, 40 (1), pp. 27-33. , http://www.scielo.br/pdf/pab/v40n1/23238.pdf
Sölkner, J., Fuchs, W., Comparison of different measures of persistency with special respect to variation of test-day milk yields (1987) Livestock Production Science, 16 (4), pp. 305-319
Wood, P., Algebraic model of the lactation curve in cattle (1967) Nature, 216, pp. 164-216
