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Milk yield and milk composition responses to change in predicted net energy and metabolizable protein: a meta-analysis

Published online by Cambridge University Press:  27 June 2016

J. B. Daniel*
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16 rue Claude Bernard, 75231 Paris cedex 05, France Trouw Nutrition R&D, P.O. Box 220, 5830 AE Boxmeer, The Netherlands
N. C. Friggens
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16 rue Claude Bernard, 75231 Paris cedex 05, France
P. Chapoutot
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16 rue Claude Bernard, 75231 Paris cedex 05, France
H. Van Laar
Affiliation:
Trouw Nutrition R&D, P.O. Box 220, 5830 AE Boxmeer, The Netherlands
D. Sauvant
Affiliation:
UMR Modélisation Systémique Appliquée aux Ruminants (MoSAR), INRA-AgroParisTech, 16 rue Claude Bernard, 75231 Paris cedex 05, France
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Abstract

Using a meta-analysis of literature data, this study aimed to quantify the dry matter (DM) intake response to changes in diet composition, and milk responses (yield, milk component yields and milk composition) to changes in dietary net energy for lactation (NEL) and metabolizable protein (MP) in dairy cows. From all studies included in the database, 282 experiments (825 treatments) with experimentally induced changes in either NEL or MP content were kept for this analysis. These treatments covered a wide range of diet characteristics and therefore a large part of the plausible NEL and MP contents and supplies that can be expected in practical situations. The average MP and NEL contents were, respectively (mean±SD), 97±12 g/kg DM and 6.71±0.42 MJ/kg DM. On a daily supply basis, there were high between-experiment correlations for MP and NEL above maintenance. Therefore, supplies of MP and NEL above maintenance were, respectively, centred on MP supply for which MP efficiency into milk protein is 0.67, and NEL above maintenance supply for which the ratio of NEL milk/NEL above maintenance is 1.00 (centred variables were called MP67 and NEL100). The majority of the selected studies used groups of multiparous Holstein-Friesian cows in mid lactation, milked twice a day. Using a mixed model, between- and within-experiment variation was split to estimate DM intake and milk responses. The use of NEL100 and MP67 supplies substantially improved the accuracy of the prediction of milk yield and milk component yields responses with, on average, a 27% lower root mean square error (RMSE) relative to using dietary NEL and MP contents as predictors. For milk composition (g/kg), the average RMSE was only 3% lower on a supply basis compared with a concentration basis. Effects of NEL and MP supplies on milk yield and milk component yields responses were additive. Increasing NEL supply increases energy partitioning towards body reserve, whereas increasing MP supply increases the partition of energy towards milk. On a nitrogen basis, the marginal efficiency decreases with increasing MP supply from 0.34 at MP67=−400 g/day to 0.07 at MP67=300 g/day. This difference in MP67 supply, assuming reference energy level of NEL100=0, equates to a global nitrogen efficiency decrease from 0.82 to 0.58. The equations accurately describe DM intake response to change in dietary contents and milk responses to change in dietary supply and content of NEL and MP across a wide range of dietary compositions.

Type
Research Article
Copyright
© The Animal Consortium 2016 

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References

Allen, MS 2000. Effects of diet on short-term regulation of feed intake by lactating dairy cattle. Journal of Dairy Science 83, 15981624.Google Scholar
Alstrup, L, Weisbjerg, MR, Hymøller, L, Larsen, MK, Lund, P and Nielsen, MO 2014. Milk production response to varying protein supply is independent of forage digestibility in dairy cows. Journal of Dairy Science 97, 44124422.Google Scholar
Bauman, DE 2000. Regulation of nutrient partitioning during lactation: homeostasis and homeorhesis revisited. In Ruminant physiology: digestion, metabolism and growth and reproduction (ed. PB Cronjé), pp. 311327. CABI Publishing, New York, NY, USA.Google Scholar
Bauman, DE and Griinari, JM 2003. Nutritional regulation of milk fat synthesis. Annual Review of Nutrition 23, 203227.Google Scholar
Baumont, R, Dulphy, JP, Sauvant, D, Meschy, F, Aufrère, J and Peyraud, JL 2007. Valeur alimentaire des fourrages et des matières premières: tables et prévision. In Alimentation des bovins, ovins et caprins. Besoins des animaux – Valeur des aliments – Tables INRA 2007, mise à jour 2010 (ed. J Agabriel), pp. 153290. Editions Quae, Versailles, France.Google Scholar
Broderick, GA 2003. Effects of varying dietary protein and energy levels on the production of lactating dairy cows. Journal of Dairy Science 86, 13701381.Google Scholar
Brun-Lafleur, L, Delaby, L, Husson, F and Faverdin, P 2010. Predicting energy × protein interaction on milk yield and milk composition in dairy cows. Journal of Dairy Science 93, 41284143.Google Scholar
Burnham, KP and Anderson, DR 2002. Model selection and multimodel inference, 2nd edition. Springer Verlag, New York City, New York, USA.Google Scholar
Coulon, JB and Rémond, B 1991. Variations in milk output and milk protein-content in response to the level of energy supply to the dairy cow – a review. Livestock Production Science 29, 3147.Google Scholar
Cowan, RT, Reid, G, Greenhalgh, J and Tait, C 1981. Effects of feeding level in late pregnancy and dietary protein concentration during early lactation on food intake, milk yield, liveweight change and nitrogen balance of cows. Journal of Dairy Research 48, 201212.Google Scholar
Dijkstra, J, Kebreab, E, Mills, JAN, Pellikaan, WF, López, S, Bannink, A and France, J 2007. Predicting the profile of nutrients available for absorption: from nutrient requirement to animal response and environmental impact. Animal 1, 99111.Google Scholar
Faverdin, P, M’Hamed, D and Vérité, R 2003. Effects of metabolizable protein on intake and milk production of dairy cows independent of effects on ruminal digestion. Animal Science 76, 137146.Google Scholar
Friggens, NC, Brun-Lafleur, L, Faverdin, P, Sauvant, D and Martin, O 2013. Advances in predicting nutrient partitioning in the dairy cow: recognizing the central role of genotype and its expression through time. Animal 7, 89101.Google Scholar
Huhtanen, P and Hetta, M 2012. Comparison of feed intake and milk production responses in continuous and change-over design dairy cow experiments. Livestock Science 143, 184194.Google Scholar
Huhtanen, P and Nousiainen, J 2012. Production responses of lactating dairy cows fed silage-based diets to changes in nutrient supply. Livestock Science 148, 146158.Google Scholar
Jensen, C, Østergaard, S, Schei, I, Bertilsson, J and Weisbjerg, MR 2015. A meta-analysis of milk production responses to increased net energy intake in Scandinavian dairy cows. Livestock Science 175, 5969.Google Scholar
Lapierre, H, Galindo, CE, Lemosquet, S, Ortigues-Marty, I, Doepel, L and Ouellet, DR 2010. Protein supply, glucose kinetics and milk yield in dairy cows. In Energy and protein metabolism and nutrition (ed. GM Crovetto), pp. 275286. Wageningen Academic Publishers, Wageningen, The Netherlands.Google Scholar
Law, RA, Young, FJ, Patterson, DC, Kilpatrick, DJ, Wylie, ARG and Mayne, CS 2009. Effect of dietary protein content on animal production and blood metabolites of dairy cows during lactation. Journal of Dairy Science 92, 10011012.Google Scholar
Macleod, GK, Grieve, DG, McMillan, I and Smith, GC 1984. Effect of varying protein and energy densities in complete rations fed to cows in first lactation. Journal of Dairy Science 67, 14211429.Google Scholar
Mertens, DR 1985. Factors influencing feed intake in lactating cows: from theory to application using neutral detergent fiber. Proceedings of the Georgia Nutrition Conference, Atlanta, GA, USA, pp. 1–18.Google Scholar
Metcalf, J, Mansbridge, R, Blake, J, Oldham, J and Newbold, J 2008. The efficiency of conversion of metabolisable protein into milk true protein over a range of metabolisable protein intakes. Animal 2, 11931202.Google Scholar
National Research Council 2001. Nutrient requirements of dairy cattle, 7th revised edition. National Academy Press, Washington, DC, USA.Google Scholar
Oldham, JD and Emmans, GC 1989. Prediction of responses to required nutrients in dairy cows. Journal of Dairy Science 72, 32123229.Google Scholar
Ørskov, ER, Reid, GW and Tait, CAG 1987. Effect of fish meal on the mobilization of body energy in dairy cows. Animal Production 45, 345348.Google Scholar
Rius, AG, McGilliard, ML, Umberger, C and Hanigan, MD 2010. Interactions of energy and predicted metabolizable protein in determining nitrogen efficiency in the lactating dairy cow. Journal of Dairy Science 93, 20342043.Google Scholar
Sauvant, D 1992. La modelisation systémique en nutrition. Reproduction Nutrition Development 32, 217230.Google Scholar
Sauvant, D, Cantalapiedra-Hijar, G, Delaby, L, Daniel, JB, Faverdin, P and Nozière, P 2015. Actualisation des besoins protéiques des ruminants et détermination des réponses des femelles laitières aux apports de protéines digestibles dans l’intestin (PDI). INRA Production Animales 28, 347368.Google Scholar
Sauvant, D and Nozière, P 2016. The quantification of the main digestive processes in ruminants: the equations involved in the renewed energy and protein feed evaluation systems. Animal 10, 755770.Google Scholar
Sauvant, D, Schmidely, P, Daudin, JJ and St-Pierre, NR 2008. Meta-analyses of experimental data in animal nutrition. Animal 2, 12031214.Google Scholar
St-Pierre, NR 2001. Integrating quantitative findings from multiple studies using mixed model methodology. Journal of Dairy Science 84, 741755.Google Scholar
St-Pierre, NR and Glamocic, D 2000. Estimating unit costs of nutrients from market prices of feedstuffs. Journal of Dairy Science 83, 14021411.Google Scholar
van Duinkerken, G, Blok, MC, Bannink, A, Cone, JW, Dijkstra, J, van Vuuren, AM and Tamminga, S 2011. Update of the Dutch protein evaluation system for ruminants: the DVE/OEB2010 system. Journal of Agricultural Science 149, 351367.Google Scholar
van Knegsel, ATM, van den Brand, H, Dijkstra, J, van Straalen, WM, Heetkamp, MJW, Tamminga, S and Kemp, B 2007. Dietary energy source in dairy cows in early lactation: energy partitioning and milk composition. Journal of Dairy Science 90, 14671476.Google Scholar
Vérité, R and Delaby, L 2000. Relation between nutrition, performances and nitrogen excretion in dairy cows. Annales De Zootechnie 49, 217230.Google Scholar
Vérité, R, Michalet-Doreau, B, Chapoutot, P, Peyraud, JL and Poncet, C 1987. Révision du système des protéines digestibles dans l’intestin (PDI). Bulletin Technique CRZV Theix, INRA 70, 1934.Google Scholar
Volden, H 2011. NorFor – the Nordic feed evaluation system. EAAP Publication. Wageningen Academic Publishers, Wageningen, the Netherlands.Google Scholar

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