Hostname: page-component-7c8c6479df-8mjnm Total loading time: 0 Render date: 2024-03-28T16:26:44.857Z Has data issue: false hasContentIssue false

Making a decision-support system for dairy farmers usable throughout Europe: the challenge of feed evaluation

Published online by Cambridge University Press:  17 February 2015

L. Baldinger*
Affiliation:
Institute of Land Use Systems, Leibniz Centre for Agricultural Landscape Research, 15374 Muncheberg, Germany Division of Livestock Sciences, BOKU-University of Natural Resources and Life Sciences, 1180 Vienna, Austria
J. Vaillant
Affiliation:
Institute of Land Use Systems, Leibniz Centre for Agricultural Landscape Research, 15374 Muncheberg, Germany
W. Zollitsch
Affiliation:
Division of Livestock Sciences, BOKU-University of Natural Resources and Life Sciences, 1180 Vienna, Austria
M. Rinne
Affiliation:
MTT Agrifood Research Finland, Animal Production Research, 31600 Jokioinen, Finland
Get access

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Full Paper
Copyright
© The Animal Consortium 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agabriel, J (ed.) 2010. Alimentation des bovins, ovins et caprins. Tables INRA 2010. Editions Quae, France.Google Scholar
Ettle, T and Schwarz, FJ 2001. Comparison of the German and the Dutch protein evaluation system in dairy nutrition when applied to different rations with graded protein levels. Archives of Animal Nutrition 55, 167182.Google ScholarPubMed
Faverdin, P, Baratte, C, Delagarde, R and Peyraud, JL 2011. GrazeIn: a model of herbage intake and milk production for grazing dairy cows. 1. Prediction of intake capacity, voluntary intake and milk production during lactation. Grass and Forage Science 66, 2944.Google Scholar
Johnson, IR, Chapman, DF, Snow, VO, Eckard, RJ, Parsons, AJ, Lambert, MG and Cullen, BR 2008. DairyMod and EcoMod: biophysical pasture-simulation models for Australian and New Zealand. Australian Journal of Experimental Agriculture 48, 621631.Google Scholar
Lebzien, P and Voigt, J 1999. Calculation of utilizable crude protein at the duodenum of cattle by two different approaches. Archives of Animal Nutrition 52, 363369.Google ScholarPubMed
MTT 2006. Rehutaulukot ja ruokintasuositukset. Agrifood Research Finland, Jokioninen, Finland. Retrieved October 10, 2014, from https://portal.mtt.fi/portal/page/portal/Rehutaulukot/feed_tables_english Google Scholar
National Research Council (NRC) 2001. Nutrient requirements of dairy cattle, 7th edition National Academy Press, Washington, DC, USA.Google Scholar
Nendel, C, Berg, M, Kersebaum, KC, Mirschel, W, Specka, X, Wegehenkel, M, Wenkel, KO and Wieland, R 2011. The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics. Ecological Modelling 222, 16141625.Google Scholar
Russell, JB, O’Connor, JD, Fox, DG, Van Soest, PJ and Sniffen, CJ 1992. A net carbohydrate and protein system for evaluating cattle diets: 1. Ruminal fermentation. Journal of Animal Science 70, 35513561.CrossRefGoogle ScholarPubMed
Schwab, GC, Huhtanen, P, Hunt, CW and Hvelplund, T 2005. Nitrogen requirements of cattle. In Nitrogen and phosphorus nutrition of cattle (ed. E Pfeffer and AN Hristov), pp. 1370. CABI Publishing, Wallingford, UK.Google Scholar
Society of Nutrition Physiology (GfE) 2001. Empfehlungen zur Energie- und Nährstoffversorgung der Milchkühe und Aufzuchtrinder. DLG-Verlag, Frankfurt/Main, Germany.Google Scholar
Thomas, C 2004. Feed into milk: a new applied feeding system for dairy cows. Nottingham University Press, UK.Google Scholar
Volden, H 2011. NorFor-the Nordic feed evaluation system, EAAP Publication No. 130. Wageningen Academic Publishers, The Netherlands.Google Scholar