Technological Economic for an Aggregate During Modernization Parameters of Milk Traits Weights of Healthy Dairy Cattle

Ashraf Mohamed Ward, M. Ismail Hdud, A. Rabia Al Zlitne, A. Abdelatef Aswehli, M. Tarek Elgusbi

Abstract


One of the conditions for increasing the efficiency of milk production is the modernization of farms with the introduction of technologies for loose maintenance and maintenance of livestock. Mainly the transition to a loose-fitting content allows to significantly reduce labour costs and the number of employees, to facilitate the work of operators directly servicing animals. At the same time, problems of mechanization and automation of processes are more easily solved. Productive longevity, expressed as the number of lactations per year or the milk yield per year during the lifetime, is a function of three or four variables: age at the first calving, calving interval, number of lactations during the lifetime and, respectively, milk / fat / protein yield in the standard lactation. Because these two functions are not linear, their expressions are approximated as linear functions of the considered variables. These functions express the phenotypic value of the trait, the number of lactation per year or the milk yield per year during the lifetime. Each of these functions is used to define an aggregate genotype.

            The calculated aggregate genotypes put together usual traits, which are difficult to be used in an index-based selection. If these traits are genetically evaluated, the selection index for an animal results directly from the aggregate genotype by replacing the true breeding values with the estimated breeding values. The expected number of lactations may substitute the number of lactations of a cow, which did not finish its career.

Keywords


Dairy Cattle, Economic Parameters, Modernization, Aggregate Genotype

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References


Albuquerque L G, Keown J F and Van Vleck L D 1996 Genetic parameters of milk, fat and protein yields in the first three lactations, using an animal model and restricted maximum likelihood. Brazilian Journal of Genetics 19: 79-86.

De Varies M J, Van Der Waaij E H and Van Arendowk J A M 1998 Estimation of genetic parameters for litter size in sheep: A comparison of repeatability and a multivariate model. Animal Science. 66: 685-688.

Dong M C, Van Vleck L D and Wiggans G R 1988 Effect of relationships on estimation of variance components with an animal model and restricted maximum likelihood. Journal of Dairy Science 71: 3047-3052.

Madalena, F.E., Peixoto, M.G.C.D. & Gibson, J., 2012. Dairy cattle genetics and its applications in Brazil. Livestock Res. Rural Dev. 24, Article #97. http://doi.org/http://www.lrrd.org/lrrd24/6/made24097.htm

Meyer K 2008 WOMBAT A program for Mixed Model Analyses by Restricted Maximum Likelihood. USER NOTES. Version 1.0, Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia.

Santos, D.J.A., Peixoto, M.G.C.D., Borquis, R.R.A., Verneque, R.S., Panetto, J.C.C. & Tonhati, H., 2013. Genetic parameters for test-day milk yield, 305-day milk yield, and lactation length in Guzerat cows. Livest. Sci. 152, 114-119.

Statistical Analysis Systems (SAS). 2011. SAS/STAT User’s guide, Release 9.3. SAS Institute Inc, Cary, North Carolina,USA.

Andersen-Ranberg, I.M., Klemetsdal, G., Heringstad, B. & Steine, T. 2005. Heritabilities, genetic correlations, and genetic change for female fertiltiy and protein yield in Norwegian dairy cattle. J. Dairy Sci. 88, 348-355.

Gilmour, A.R., Gogel, B.J., Cullis, B.R., Welham, S.J. & Thompson, R. 2006. ASReml User Guide Release 2.0 VSN International Ltd., Hemel Hempstead, HP1 1ES, UK.

Haer, L.C.M. de. 2009. Estimation of genetic parameters of fertility traits for dairy cattle in The Netherlands and Flanders. CRV Report, Arnhem, The Netherlands.

Jamrozik, J., Fatehi, J., Kistemaker, G.L. & Schaeffer, L.R. 2005. Estimation of genetic parameters for Canadian Holstein female reproduction traits. J. Dairy Sci. 88, 2199- 2208.

SAS 2009 User’s guide, Release 9.2. SAS Institute Inc., Cary, NC, USA.

Torres V, Ramos N, Lizazo D, Monteagudo F and Noda A 2008 Statistical model for measuring the impact of innovation or technology transfer in agriculture. Cuban Journal of Agricultural S. Torres V, Martínez O, Noda A, Medina Y and Rodríguez Y 2010 Evaluation of the statistical suppositions in the statistical model of impact measuring (MEMI), in a case study. II Workshop of Computer Science and Applied Biostatistics to the Agricultural Sciences, III Congress of Animal Production, 15-19 November, Havana, Cuba (CD-ROM) Sience, 42, 131-137

Torres V, Martínez O, Noda A, Medina Y and Rodríguez Y 2010 Evaluation of the statistical suppositions in the statistical model of impact measuring (MEMI), in a case study. II Workshop of Computer Science and Applied Biostatistics to the Agricultural Sciences, III Congress of Animal Production, 15-19 November, Havana, Cuba (CD-ROM)

Urioste J I, Rekaya R, Gianola D, Fikse W F and Weigel K A 2003 Model comparison for genetic evaluation of milk yield in Uruguayan Holsteins. Livestock Production Science 84: 63–73.

WOLF, J., WOLFOVÁ, M. and KRUPA E. (2013) User's Manual for the program Package ECOWEIGHT (C Programs for Calculating Economic Weights in Livestock), Version 6.0.4. Part 1: Programs EWBC (Version 3.0.4) and EWDC (Version 2.2.3). Prague-Uhříněves: Research Institute of Animal Production. 222 p.

ZAVADILOVÁ, L. et al. (2011) Genetic parameters for somatic cell score in the first three lactations of Czech Holstein and Fleckvieh breeds using a random regression model. Czech Journal of Animal Science, vol. 56, no. 6, pp. 251–260.

Zeleke, B., Kebede, K. & Kumar, B.A., 2016. Estimation of genetic parameters for reproductive traits of Fogera and Holstein Friesian crossbred cattle at Metekel Ranch, Amhara region, Ethiopia. Online J. Anim. Feed Res. 6, 90-95.


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