Challenges and opportunities to capture dietary effects in on-farm greenhouse gas emissions models of ruminant systems

Autor: Ali R. Bayat, Maguy Eugène, Katja Klumpp, Peter Lund, André Bannink, Cecile A. M. de Klein, Gary Lanigan, Francisco Salazar, Arjan Jonker, Anais Durand, Mohammad Ramin, Tony J. van der Weerden, Les A. Crompton, Ronaldo Vibart, Björn Kuhla
Přispěvatelé: Grasslands Research Centre, Invermay Agricultural Centre [New Zealand], Wageningen Livestock Research, Natural Resources Institute Finland (LUKE), University of Reading (UOR), CITEPA PARIS FRA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Leibniz Institute for Farm Animal Biology (FBN), Teagasc - The Agriculture and Food Development Authority (Teagasc), Aarhus University [Aarhus], Swedish University of Agricultural Sciences (SLU), Remehue Research, New Zealand Government S7-SOW16-ERAGAS-CEDERSMinistry of Agriculture, Nature and Food Quality, The Netherlands AF-EU-18010Netherlands Organization for Scientific Research (NWO)ALW.GAS.2Ministry of Agriculture and Forestry, Finland Secretary of State for Environment, Food and Rural Affairs, UK French National Research Agency (ANR) Federal Ministry of Food and Agriculture, Germany TEAGASC Department of Agriculture, Food and the Marine, Ireland Innovation fund, Denmark Research Council for Environment, Areal Industries and Community Development, Sweden
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Science of the Total Environment
Science of the Total Environment, Elsevier, 2021, 769, pp.144989. ⟨10.1016/j.scitotenv.2021.144989⟩
Science of the Total Environment, 769
Vibart, R, de Klein, C, Jonker, A, van der Weerden, T, Bannink, A, Bayat, A R, Crompton, L, Durand, A, Eugène, M, Klumpp, K, Kuhla, B, Lanigan, G, Lund, P, Ramin, M & Salazar, F 2021, ' Challenges and opportunities to capture dietary effects in on-farm greenhouse gas emissions models of ruminant systems ', Science of the Total Environment, vol. 769, 144989 . https://doi.org/10.1016/j.scitotenv.2021.144989
Science of the Total Environment 769 (2021)
ISSN: 0048-9697
1879-1026
Popis: International audience; This paper reviews existing on-farm GHG accounting models for dairy cattle systems and their ability to capture the effect of dietary strategies in GHG abatement. The focus is on methane (CH4) emissions from enteric and manure (animal excreta) sources and nitrous oxide (N2O) emissions from animal excreta. We identified three generic modelling approaches, based on the degree to which models capture diet-related characteristics: from 'none' (Type 1) to 'some' by combining key diet parameters with emission factors (EF) (Type 2) to 'many' by using process-based modelling (Type 3). Most of the selected on-farm GHG models have adopted a Type 2 approach, but a few hybrid Type 2 / Type 3 approaches have been developed recently that combine empirical modelling (through the use of CH4 and/or N2O emission factors; EF) and process-based modelling (mostly through rumen and whole tract fermentation and digestion). Empirical models comprising key dietary inputs (i.e., dry matter intake and organic matter digestibility) can predict CH4 and N2O emissions with reasonable accuracy. However, the impact of GHG mitigation strategies often needs to be assessed in a more integrated way, and Type 1 and Type 2 models frequently lack the biological foundation to do this. Only Type 3 models represent underlying mechanisms such as ruminal and total-tract digestive processes and excreta composition that can capture dietary effects on GHG emissions in a more biological manner. Overall, the better a model can simulate rumen function, the greater the opportunity to include diet characteristics in addition to commonly used variables. and thus the greater the opportunity to capture dietary mitigation strategies. The value of capturing the effect of additional animal feed characteristics on the prediction of on-farm GHG emissions needs to be carefully balanced against gains in accuracy, the need for additional input and activity data, and the variability encountered on-farm..
Databáze: OpenAIRE
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