Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: A meta-analysis.

Autor:	Bougouin A; Department of Animal Science, University of California, Davis 95616. Electronic address: aabougouin@ucdavis.edu., Hristov A; Department of Animal Science, The Pennsylvania State University, University Park 16803., Dijkstra J; Animal Nutrition Group, Wageningen University and Research, 6700 AH Wageningen, the Netherlands., Aguerre MJ; Department of Animal and Veterinary Sciences, Clemson University, Clemson, SC 29634., Ahvenjärvi S; Animal Nutrition, Production Systems, Natural Resources Institute Finland (Luke), FI-31600 Jokioinen, Finland., Arndt C; Mazingira Centre, International Livestock Research Institute (ILRI), 00100 Nairobi, Kenya., Bannink A; Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands., Bayat AR; Animal Nutrition, Production Systems, Natural Resources Institute Finland (Luke), FI-31600 Jokioinen, Finland., Benchaar C; Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada J1M 0C8., Boland T; School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland., Brown WE; Department of Animal and Dairy Sciences, University of Wisconsin-Madison 53706-1205; Department of Animal Sciences, The Ohio State University, Columbus 43210., Crompton LA; School of Agriculture, Policy and Development, University of Reading, Reading RG6 6AR, United Kingdom., Dehareng F; Department of Valorisation of Agricultural Products, Walloon Agricultural Research Centre, 5030 Gembloux, Belgium., Dufrasne I; Department of Veterinary Management of Animal Resources, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animal and Health (FARAH), University of Liège, 4000 Liège, Belgium., Eugène M; INRAE - Université Clermont Auvergne - VetAgroSup UMR 1213 Unité Mixte de Recherche sur les Herbivores, Centre de recherche Auvergne-Rhône-Alpes, Theix, 63122 Saint-Genès-Champanelle, France., Froidmont E; Department of Valorisation of Agricultural Products, Walloon Agricultural Research Centre, 5030 Gembloux, Belgium., van Gastelen S; Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands., Garnsworthy PC; School of Biosciences, University of Nottingham, Loughborough LE12 5RD, United Kingdom., Halmemies-Beauchet-Filleau A; Faculty of Agriculture and Forestry, Department of Agricultural Sciences, University of Helsinki, 00014 Helsinki, Finland., Herremans S; Department of Valorisation of Agricultural Products, Walloon Agricultural Research Centre, 5030 Gembloux, Belgium., Huhtanen P; Department of Agricultural Science for Northern Sweden, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden., Johansen M; Department of Animal Science, Aarhus University, AU Foulum, Dk-8830 Tjele, Denmark., Kidane A; Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1433 Ås, Norway., Kreuzer M; Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland., Kuhla B; Institute for Farm Animal Biology (FBN), Institute of Nutritional Physiology 'Oskar Kellner,' Dummerstorf, Mecklenburg-Vorpommern, Germany., Lessire F; Department of Veterinary Management of Animal Resources, Faculty of Veterinary Medicine, Fundamental and Applied Research for Animal and Health (FARAH), University of Liège, 4000 Liège, Belgium., Lund P; Department of Animal Science, Aarhus University, AU Foulum, Dk-8830 Tjele, Denmark., Minnée EMK; DairyNZ Ltd., Private Bag 3221, Hamilton, New Zealand 3240., Muñoz C; Instituto de Investigaciones Agropecuarias, INIA Remehue, Ruta 5 S, Osorno, Chile., Niu M; Department of Animal Science, University of California, Davis 95616; Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland., Nozière P; INRAE - Université Clermont Auvergne - VetAgroSup UMR 1213 Unité Mixte de Recherche sur les Herbivores, Centre de recherche Auvergne-Rhône-Alpes, Theix, 63122 Saint-Genès-Champanelle, France., Pacheco D; Ag Research, Palmerston North 4410, New Zealand., Prestløkken E; Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1433 Ås, Norway., Reynolds CK; School of Agriculture, Policy and Development, University of Reading, Reading RG6 6AR, United Kingdom., Schwarm A; Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1433 Ås, Norway., Spek JW; Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, the Netherlands., Terranova M; AgroVet-Strickhof, ETH Zurich, 8315 Lindau, Switzerland., Vanhatalo A; Faculty of Agriculture and Forestry, Department of Agricultural Sciences, University of Helsinki, 00014 Helsinki, Finland., Wattiaux MA; Department of Animal and Dairy Sciences, University of Wisconsin-Madison 53706-1205., Weisbjerg MR; Department of Animal Science, Aarhus University, AU Foulum, Dk-8830 Tjele, Denmark., Yáñez-Ruiz DR; Estación Experimental del Zaidin, CSIC, 1, 18008 Granada, Spain., Yu Z; Department of Animal Sciences, The Ohio State University, Columbus 43210., Kebreab E; Department of Animal Science, University of California, Davis 95616.
Jazyk:	angličtina
Zdroj:	Journal of dairy science [J Dairy Sci] 2022 Sep; Vol. 105 (9), pp. 7462-7481. Date of Electronic Publication: 2022 Aug 02.
DOI:	10.3168/jds.2021-20885
Abstrakt:	Manure nitrogen (N) from cattle contributes to nitrous oxide and ammonia emissions and nitrate leaching. Measurement of manure N outputs on dairy farms is laborious, expensive, and impractical at large scales; therefore, models are needed to predict N excreted in urine and feces. Building robust prediction models requires extensive data from animals under different management systems worldwide. Thus, the study objectives were (1) to collate an international database of N excretion in feces and urine based on individual lactating dairy cow data from different continents; (2) to determine the suitability of key variables for predicting fecal, urinary, and total manure N excretion; and (3) to develop robust and reliable N excretion prediction models based on individual data from lactating dairy cows consuming various diets. A raw data set was created based on 5,483 individual cow observations, with 5,420 fecal N excretion and 3,621 urine N excretion measurements collected from 162 in vivo experiments conducted by 22 research institutes mostly located in Europe (n = 14) and North America (n = 5). A sequential approach was taken in developing models with increasing complexity by incrementally adding variables that had a significant individual effect on fecal, urinary, or total manure N excretion. Nitrogen excretion was predicted by fitting linear mixed models including experiment as a random effect. Simple models requiring dry matter intake (DMI) or N intake performed better for predicting fecal N excretion than simple models using diet nutrient composition or milk performance parameters. Simple models based on N intake performed better for urinary and total manure N excretion than those based on DMI, but simple models using milk urea N (MUN) and N intake performed even better for urinary N excretion. The full model predicting fecal N excretion had similar performance to simple models based on DMI but included several independent variables (DMI, diet crude protein content, diet neutral detergent fiber content, milk protein), depending on the location, and had root mean square prediction errors as a fraction of the observed mean values of 19.1% for intercontinental, 19.8% for European, and 17.7% for North American data sets. Complex total manure N excretion models based on N intake and MUN led to prediction errors of about 13.0% to 14.0%, which were comparable to models based on N intake alone. Intercepts and slopes of variables in optimal prediction equations developed on intercontinental, European, and North American bases differed from each other, and therefore region-specific models are preferred to predict N excretion. In conclusion, region-specific models that include information on DMI or N intake and MUN are required for good prediction of fecal, urinary, and total manure N excretion. In absence of intake data, region-specific complex equations using easily and routinely measured variables to predict fecal, urinary, or total manure N excretion may be used, but these equations have lower performance than equations based on intake. (© 2022, The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)
Databáze:	MEDLINE
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