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Development of mathematical models to predict enteric methane emission by cattle in Latin America

Authors :
J.A.D.R.N. Appuhamy
José Herrera-Camacho
L. T. Molina
Ermias Kebreab
J.C. Ángeles-Hernández
Juan Carlos Ku-Vera
Manuel González-Ronquillo
Mohammed Benaouda
Octavio Alonso Castelán-Ortega
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)
AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Facultad de Medicina Veterinaria y Zootecnia
Universidad Nacional Autónoma de México (UNAM)
Iowa State University (ISU)
Department of Animal Science [Davis, USA] (University of California Davis)
University of California [Davis] (UC Davis)
University of California-University of California
Molina Center for the Energy and the Environment (MCE2)
Facultad de Medicina Veterinaria y Zootecnia, Departamento de Nutrición Animal y Bioquímica
Universidad National Autonoma de Mexico
Source :
Livestock Science, Livestock Science, Elsevier, 2020, 241, pp.104177. ⟨10.1016/j.livsci.2020.104177⟩
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

International audience; Methane (CH4) is recognized as the second most important greenhouse gas (GHG) emitted by anthropogenic sources and is a major driver of climate change along with other GHG. Enteric fermentation CH4 emissions from ruminants contribute to approximately 17% of total global anthropogenic CH4 emissions. Several mathematical models to estimate enteric methane emissions have been published, but the majority are limited to cattle in developed countries. Therefore, our objective was to develop a set of empirical models to predict enteric CH4 emissions by cattle in Latin America (LA). A database was compiled from 67 publications that measured enteric CH4 emissions from cattle in LA using respiration chambers or the sulfur hexafluoride tracer technique. In total, there were 230 treatment means of enteric CH4 emissions measured from Nellore (n = 82), crossbreed (n = 79), Holstein (n = 45), and other breeds (n = 24). New prediction models were developed using a mixed-effects modeling approach with a random effect of study. Daily enteric CH4 emissions from all production systems ranged from 48.5 to 656 g/head with an average of 187 g/head. This large variation was largely explained by dry matter intake (DMI; RSR = 0.68, RMSPE = 29.1%). The prediction of CH4 emissions was further improved by a combination of DMI, digestibility and variables related to diet chemical composition such as dietary non-fibrous carbohydrates or dietary NDF. The best performance was obtained from the model based on DMI, dietary forage and organic matter digestibility (RSR = 0.59, RMSPE = 24.2% of observed mean). The newly developed models based on LA data give a better estimation of CH4 emissions from cattle than extant models, while the updated CH4 emission factors from IPCC 2019 performed better than emission factors of IPCC 2006. The new models developed using data specific to the region are recommended for use in preparing national methane inventories for LA cattle.

Details

ISSN :
18711413
Volume :
241
Database :
OpenAIRE
Journal :
Livestock Science
Accession number :
edsair.doi.dedup.....72edd91373b6c48708aeac4ac4676f96
Full Text :
https://doi.org/10.1016/j.livsci.2020.104177