Krupová Z., Wolfová M., Krupa E., Přibyl J., Zavadilová L.
The objective of this study was to calculate economic weights for ten current breeding objective traits and for four new traits characterising claw health and feed efficiency in Czech Holstein cattle and to investigate the impact of different selection indices on the genetic responses for these traits. Economic weights were estimated using a bio-economic model, while applying actual (2017) and predicted (2025) production and economic circumstances. For the actual situation, the economic weights of claw disease incidence were –100.1 € per case, and those of daily residual feed intake in cows, breeding heifers, and fattened animals were –79.37, –37.16, and –6.33 €/kg dry matter intake per day, respectively. In the predicted situation, the marginal economic weights for claw disease and feed efficiency traits increased on average by 38% and 20%, respectively. The new traits, claw disease incidence and daily residual feed intake, were gradually added to the 17 current Holstein selection index traits to improve the new traits. Constructing a comprehensive index with 21 traits and applying the general principles of the selection index theory, a favourable annual genetic selection response was obtained for the new traits (–0.008 cases of claw disease incidence and –0.006 kg of daily residual feed intake across all cattle categories), keeping the annual selection response of the most important current breeding objective traits at a satisfactory level (e.g., 73 kg of milk yield per lactation, 0.016% of milk fat). Claw health and feed efficiency should be defined as new breeding objectives and new selection index traits of local dairy population.
Berry Donagh P, Bermingham Mairead L, Good Margaret, More Simon J (2011): Genetics of animal health and disease in cattle. Irish Veterinary Journal, 64, 5- https://doi.org/10.1186/2046-0481-64-5
Buch L.H., Sørensen A.C., Lassen J., Berg P., Eriksson J.-Å., Jakobsen J.H., Sørensen M.K. (2011): Hygiene-related and feed-related hoof diseases show different patterns of genetic correlations to clinical mastitis and female fertility. Journal of Dairy Science, 94, 1540-1551 https://doi.org/10.3168/jds.2010-3137
Cassandro Martino, Mele Marcello, Stefanon Bruno (2013): Genetic aspects of enteric methane emission in ruminants livestock. Italian Journal of Animal Science, 12, - https://doi.org/10.4081/ijas.2013.e73
Cassandro M., Pretto D., Lopez-Villalobos N., De Marchi M., Penasa M. (2016): Estimation of economic values for milk coagulation properties in Italian Holstein-Friesian cattle. Journal of Dairy Science, 99, 6619-6626 https://doi.org/10.3168/jds.2015-10228
Connor E. E. (2015): Invited review: Improving feed efficiency in dairy production: challenges and possibilities. animal, 9, 395-408 https://doi.org/10.1017/S1751731114002997
EU (2015): EU Agricultural Outlook: Prospects for EU agricultural markets and income 2015–2025. Available at https://ec.europa.eu/agriculture/sites/agriculture/files/markets-and-prices/medium-term-outlook/2015/fullrep_en.pdf (accessed Nov 27, 2017).
Gonzalez-Recio O., Pryce J.E., Haile-Mariam M., Hayes B.J. (2014): Incorporating heifer feed efficiency in the Australian selection index using genomic selection. Journal of Dairy Science, 97, 3883-3893 https://doi.org/10.3168/jds.2013-7515
Hegarty R. S., Goopy J. P., Herd R. M., McCorkell B. (2007): Cattle selected for lower residual feed intake have reduced daily methane production1,2. Journal of Animal Science, 85, 1479-1486 https://doi.org/10.2527/jas.2006-236
Hietala H., Juga J. (2016): Impact of including growth, carcass and feed efficiency traits in the breeding goal for combined milk and beef production systems. Animal, 11, 564–573.
Hietala P., Wolfová M., Wolf J., Kantanen J., Juga J. (2014): Economic values of production and functional traits, including residual feed intake, in Finnish milk production. Journal of Dairy Science, 97, 1092-1106 https://doi.org/10.3168/jds.2013-7085
Kargo M., Hjortø L., Toivonen M., Eriksson J.A., Aamand G.P., Pedersen J. (2014): Economic basis for the Nordic Total Merit Index. Journal of Dairy Science, 97, 7879-7888 https://doi.org/10.3168/jds.2013-7694
Kasna E., Fleischer P., Zavadilova L., Slosarkova S., Stanek S. (2017): Evaluation of occurrence of the most common diseases and health disorders of dairy cows in the Czech Republic. Veterinářství, 10, 799–805. (in Czech)
Koenig S., Sharifi A.R., Wentrot H., Landmann D., Eise M., Simianer H. (2005): Genetic Parameters of Claw and Foot Disorders Estimated with Logistic Models. Journal of Dairy Science, 88, 3316-3325 https://doi.org/10.3168/jds.S0022-0302(05)73015-0
Komlósi I., Wolfová M., Wolf J., Farkas B., Szendrei Z., Béri B. (2010): Economic weights of production and functional traits for Holstein-Friesian cattle in Hungary. Journal of Animal Breeding and Genetics, 127, 143-153 https://doi.org/10.1111/j.1439-0388.2009.00822.x
Krupová Z., Huba J., Daňo J., Krupa E., Oravcová M., Peškovičová D. (2009): Economic weights of production and functional traits in dairy cattle under a direct subsidy regime. Czech Journal of Animal Science, 54, 249-259 https://doi.org/10.17221/1731-CJAS
Krupová Z., Krupa E., Michaličková M., Wolfová M., Kasarda R. (2016): Economic values for health and feed efficiency traits of dual-purpose cattle in marginal areas. Journal of Dairy Science, 99, 644-656 https://doi.org/10.3168/jds.2015-9951
Krupova Z., Pribyl J., Krupa E., Wolfova M. (2017): Claw disease incidence as a new trait in the breeding goal for the Czech Holstein population. Agriculturae Conspectus Scientificus, 82, 235–239.
Novotný L., Frelich J., Beran J., Zavadilová L. (2017): Genetic relationship between type traits, number of lactations initiated, and lifetime milk performance in Czech Fleckvieh cattle. Czech Journal of Animal Science, 62, 501-510 https://doi.org/10.17221/60/2017-CJAS
Pérez-Cabal M.A., de los Campos G., Vazquez A.I., Gianola D., Rosa G.J.M., Weigel K.A., Alenda R. (2009): Genetic evaluation of susceptibility to clinical mastitis in Spanish Holstein cows. Journal of Dairy Science, 92, 3472-3480 https://doi.org/10.3168/jds.2008-1978
Plemdat (2018): Calculation of the selection index for bulls and dams of the Holstein breed. Available at http://www.plemdat.cz/cz/pages/SIH.pdf (accessed Jan 29, 2018). (in Czech)
van der Linde C., de Jong G., Koenen E.P.C., Eding H. (2010): Claw health index for Dutch dairy cattle based on claw trimming and conformation data. Journal of Dairy Science, 93, 4883-4891 https://doi.org/10.3168/jds.2010-3183
Veerkamp R.F., Emmans G.C., Cromie A.R., Simm G. (1995): Variance components for residual feed intake in dairy cows. Livestock Production Science, 41, 111-120 https://doi.org/10.1016/0301-6226(94)00056-D
Williams Y.J., Pryce J.E., Grainger C., Wales W.J., Linden N., Porker M., Hayes B.J. (2011): Variation in residual feed intake in Holstein-Friesian dairy heifers in southern Australia. Journal of Dairy Science, 94, 4715-4725 https://doi.org/10.3168/jds.2010-4015
Wolf J., Wolfova M., 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) for Cattle. Institute of Animal Science, Prague, Czech Republic.
Wolfová M., Wolf J., Přibyl J., Zahrádková R., Kica J. (2005): Breeding objectives for beef cattle used in different production systems: 1. Model development. Livestock Production Science, 95, 201-215 https://doi.org/10.1016/j.livprodsci.2004.12.018
Wolfová M., Wolf J., Kvapilík J., Kica J. (2007): Selection for Profit in Cattle: I. Economic Weights for Purebred Dairy Cattle in the Czech Republic. Journal of Dairy Science, 90, 2442-2455 https://doi.org/10.3168/jds.2006-614
Zavadilová L., Zink V. (2013): Genetic relationship of functional longevity with female fertility and milk production traits in Czech Holsteins . Czech Journal of Animal Science, 58, 554-565 https://doi.org/10.17221/7090-CJAS