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dc.contributor.authorHanigan, Mark D.en
dc.contributor.authorDaley, Veridiana L.en
dc.date.accessioned2021-01-13T16:01:18Zen
dc.date.available2021-01-13T16:01:18Zen
dc.date.issued2020-02en
dc.identifier.issn2165-8102en
dc.identifier.urihttp://hdl.handle.net/10919/101874en
dc.description.abstractTo feed people in the coming decades, an increase in sustainable animal food production is required. The efficiency of the global food production system is dependent on the knowledge and improvement of its submodels, such as food animal production. Scientists use statistical models to interpret their data, but models are also used to understand systems and to integrate their components. However, empirical models cannot explain systems. Mechanistic models yield insight into the mechanism and provide guidance regarding the exploration of the system. This review offers an overview of models, from simple empirical to more mechanistic models. We demonstrate their applications to amino acid transport, mass balance, whole-tissue metabolism, digestion and absorption, growth curves, lactation, and nutrient excretion. These mechanistic models need to be integrated into a full model using big data from sensors, which represents a new challenge. Soon, training in quantitative and computer science skills will be required to develop, test, and maintain advanced food system models.en
dc.description.sponsorshipNational Animal Nutrition Program (NANP); Hatch fundsen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectfood productionen
dc.subjectmechanistic modelingen
dc.subjectmodel applicationen
dc.subjectintegrated nutrition systemsen
dc.titleUse of Mechanistic Nutrition Models to Identify Sustainable Food Animal Productionen
dc.typeArticle - Refereeden
dc.contributor.departmentDairy Scienceen
dc.description.notesA portion of this work was carried out and supported as an activity of the National Animal Nutrition Program (NANP) to provide enabling technologies, support, and shared resources to the research community. The NANP, a National Research Support Project (NRSP-9) of State Agricultural Experiment Stations, is funded from Hatch funds administered by the National Institute of Food and Agriculture, US Department of Agriculture, Washington, DC.en
dc.title.serialAnnual Review of Animal Biosciences, Vol 8, 2020en
dc.identifier.doihttps://doi.org/10.1146/annurev-animal-021419-083913en
dc.identifier.volume8en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.pmid31730368en


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International