Short communication: Genetic analysis of lactation curves in buffaloes, using Wood’s model
Abstract
Aim of study: To estimate the heritability and genetic correlations for lactation curve traits in buffaloes.
Area of study: The buffalo cows were raised on properties located in the states of São Paulo, Ceará and Rio Grande do Norte, Brazil.
Material and methods: The individual parameters of Wood’s model ( , , and ) were obtained using a non-linear mixed model. Peak yield (PY), peak time (PT) and lactation persistency (LP) were also calculated. These individual parameters were employed in multi-trait analysis with the milk yield (MY) using Bayesian inference.
Main results: The heritability estimates were of low to moderate magnitudes, with values ranging from 0.156 ( ) to 0.299 (PY). The estimates for genetic correlation between the Wood’s parameters and MY were of low to high magnitude and ranged from -0.533 ( and MY) to 0.983 (PY and MY).
Research highlights: The heritability estimates obtained indicate that the traits studied can be used in animal breeding programs.
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References
Akers RM, 2000. Selection for milk production from a lactation biology viewpoint. J Dairy Sci 83 (5): 1151-1158. https://doi.org/10.3168/jds.S0022-0302(00)74981-2
Aspilcueta-Borquis RR, Baldi F, Araujo Neto FR, Albuquerque LG, Muñoz-Berrocal M, Tonhati H, 2012. Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes. J Dairy Res 79 (1): 60-65. https://doi.org/10.1017/S0022029911000823
Aspilcueta-Borquis RR, Araujo Neto FR, Baldi F, Hurtado-Lugo NA, Camargo GMF, Munoz-Berrocal M, Tonhati H. 2013. Multiple-trait random regression models for the estimation of genetic parameters for milk, fat, and protein yield in buffaloes. J Dairy Sci 96: 5923-6023. https://doi.org/10.3168/jds.2012-6023
Bangar YC, Verma MR, 2017. Non-linear modelling to describe lactation curve in Gir crossbred cows. J Anim Sci Technol 59 (1): 3. https://doi.org/10.1186/s40781-017-0128-6
Boujenane I, Hilal B, 2012. Genetic and non genetic effects for lactation curve traits in Holstein-Friesian cows. Arch Anim Breeding 55 (5): 450-457. https://doi.org/10.5194/aab-55-450-2012
Chang YM, Rekaya R, Gianola D, Thomas DL, 2001. Genetic variation of lactation curves in dairy sheep: a Bayesian analysis of Wood's function. Livest Prod Sci 71 (2-3): 241-251. https://doi.org/10.1016/S0301-6226(01)00185-3
Comets E, Lavenu A, Lavielle M, 2017. Parameter estimation in nonlinear mixed effect models using Saemix, an R implementation of the Saem algorithm. J Stat Softw 80 (3): 1-42. https://doi.org/10.18637/jss.v080.i03
Ferris TA, Mao IL, Anderson CR, 1985. Selecting for lactation curve and milk yield in dairy cattle. J Dairy Sci 68: 1438-1448. https://doi.org/10.3168/jds.S0022-0302(85)80981-4
Grossman M, Koops WJ, 2003. Modeling extended lactation curves of dairy cattle: A biological basis for the multiphasic approach. J Dairy Sci 86 (3): 988-998. https://doi.org/10.3168/jds.S0022-0302(03)73682-0
Hernández JCÁ, Ortega OC, Portillo BA, Montaldo HH, Ronquillo MG, 2014. Application of the Wood's model to analyse lactation curves of organic dairy sheep farming. Anim Prod Sci 54 (10): 1609-1614. https://doi.org/10.1071/AN14272
Hossein-Zadeh NG, 2015. Estimates of genetic parameters and genetic trends for production and reproduction traits in Iranian buffaloes (Bubalus bubalis). Anim Prod Sci 57 (2): 216-222. https://doi.org/10.1071/AN15370
Hossein-Zadeh NG, Nazari MA, Shadparvar AA, 2017. Genetic perspective of milk yield persistency in the first three lactation of Iranian buffaloes (Bubalus bubalis). J Dairy Res 84: 434-439. https://doi.org/10.1017/S0022029917000498
Macciotta NP, Dimauro C, Rassu SP, Steri R, Pulina G, 2011. The mathematical description of lactation curves in dairy cattle. It J Anim Sci 10 (4): e51. https://doi.org/10.4081/ijas.2011.e51
Misztal I, Tsuruta S, Strabel T, Auvray B, Druet T, Lee DH, 2019. BLUPF90 and related programs (BGF90). University of Georgia, Athens. http://nce.ads.uga.edu/wiki/doku.php [May 10, 2019].
Pareek NK, Narang R, 2014. Genetic analysis of first lactation persistency and milk production traits in graded Murrah buffaloes. Buffalo Bull 33 (4): 432-436.
Pereira JP, Lopes PS, Verneque RS, Santana Júnior ML, Lagrotta MR, Torres RA, 2010. Funções de covariância para produção de leite no dia do controle em bovinos Gir leiteiro. Pesqu Agropec Bras 45 (11): 1303-1311. https://doi.org/10.1590/S0100-204X2010001100011
Pereira RJ, Ayres DR, El Faro L, Verneque RS, Vercesi Filho AE, Albuquerque LG, 2013. Comparison of factor-analytic and reduced rank models for test-day milk yield in Gyr dairy cattle (Bos indicus). Genet Mol Res 12 (3): 4036-4045. https://doi.org/10.4238/2013.September.27.5
Rekaya R, Carabano MJ, Toro MA, 2000. Bayesian analysis of lactation curves of Holstein-Friesian cattle using a nonlinear model. J Dairy Sci 83 (11): 2691-2701. https://doi.org/10.3168/jds.S0022-0302(00)75163-0
Rosati A, Van Vleck LD, 2002. Estimation of genetic parameters for milk, fat, protein and mozzarella cheese production for the Italian river buffalo Bubalus bubalis population. Livest Prod Sci 74: 185-190. https://doi.org/10.1016/S0301-6226(01)00293-7
Şeahin A, Ulutaş Z, Arda Y, Yüksel A, Serdar G, 2015. Lactation curve and persistency of Anatolian buffaloes. It J Anim Sci 14 (2): 3679. https://doi.org/10.4081/ijas.2015.3679
Wasike CB, Kahi AK, Peters KJ, 2014. Genetic relationship between lactation curve traits in the first three parities of dairy cattle. South Afr J Anim Sci 44 (3): 245-253. https://doi.org/10.4314/sajas.v44i3.6
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