1. Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: a meta-analysis
- Author
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A. Bougouin, A. Hristov, J. Dijkstra, M.J. Aguerre, S. Ahvenjärvi, C. Arndt, A. Bannink, A.R. Bayat, C. Benchaar, T. Boland, W.E. Brown, L.A. Crompton, F. Dehareng, I. Dufrasne, M. Eugène, E. Froidmont, S. van Gastelen, P.C. Garnsworthy, A. Halmemies-Beauchet-Filleau, S. Herremans, P. Huhtanen, M. Johansen, A. Kidane, M. Kreuzer, B. Kuhla, F. Lessire, P. Lund, E.M.K. Minnée, C. Muñoz, M. Niu, P. Nozière, D. Pacheco, E. Prestløkken, C.K. Reynolds, A. Schwarm, J.W. Spek, M. Terranova, A. Vanhatalo, M.A. Wattiaux, M.R. Weisbjerg, D.R. Yáñez-Ruiz, Z. Yu, E. Kebreab, Department of Agricultural Sciences, Animal Science Research, Helsinki One Health (HOH), Helsinki Institute of Sustainability Science (HELSUS), National Institute of Food and Agriculture (US), Global Research Alliance on Agricultural Greenhouse Gases, and Fondo Nacional de Desarrollo Científico y Tecnológico (Chile)
- Subjects
Dietary Fiber ,EFFICIENCY ,Animal Nutrition ,PROTEIN-CONCENTRATION ,Nitrogen ,manure nitrogen excretion ,4111 Agronomy ,MULTIPLE ,Genetics ,MILK UREA NITROGEN ,Animals ,Lactation ,Urea ,412 Animal science, dairy science ,dairy cow ,AMMONIA EMISSIONS ,Diervoeding ,Diet ,prediction model ,Manure ,Milk ,WIAS ,CRUDE PROTEIN ,Animal Science and Zoology ,Cattle ,Female ,Food Science - Abstract
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., This study is part of the Global Network project, funded by the Joint Programming Initiative on Agriculture, Food Security and Climate Change (FACCE-JPI) and is an activity of the Feed and Nutrition Network, which is part of the Livestock Research Group of the Global Research Alliance for Agricultural Greenhouse Gases (https://globalresearchalliance.org; accessed May 10, 2021). Partial funding for the study was provided through USDA (Washington, DC) National Institute of Food and Agriculture (NIFA), awards 2014-67003-21979 and 2019-67019-29400, and Federal Appropriations under Project PEN 04539 and Accession Number 1000803 and FONDECYT/Regular Accession Number 1191476.
- Published
- 2021
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