000124052 001__ 124052
000124052 005__ 20241125101130.0
000124052 0247_ $$2doi$$a10.1016/j.jclepro.2022.135523
000124052 0248_ $$2sideral$$a132571
000124052 037__ $$aART-2023-132571
000124052 041__ $$aeng
000124052 100__ $$0(orcid)0000-0001-5880-6021$$aBelanche, A.$$uUniversidad de Zaragoza
000124052 245__ $$aPrediction of enteric methane emissions by sheep using an intercontinental database
000124052 260__ $$c2023
000124052 5060_ $$aAccess copy available to the general public$$fUnrestricted
000124052 5203_ $$aEnteric methane (CH4) emissions from sheep contribute to global greenhouse gas emissions from livestock. However, as already available for dairy and beef cattle, empirical models are needed to predict CH4 emissions from sheep for accounting purposes. The objectives of this study were to: 1) collate an intercontinental database of enteric CH4 emissions from individual sheep; 2) identify the key variables for predicting enteric sheep CH4 absolute production (g/d per animal) and yield [g/kg dry matter intake (DMI)] and their respective relationships; and 3) develop and cross-validate global equations as well as the potential need for age-, diet-, or climatic region-specific equations. The refined intercontinental database included 2,135 individual animal data from 13 countries. Linear CH4 prediction models were developed by incrementally adding variables. A universal CH4 production equation using only DMI led to a root mean square prediction error (RMSPE, % of observed mean) of 25.4% and an RMSPE-standard deviation ratio (RSR) of 0.69. Universal equations that, in addition to DMI, also included body weight (DMI + BW), and organic matter digestibility (DMI + OMD + BW) improved the prediction performance further (RSR, 0.62 and 0.60), whereas diet composition variables had negligible effects. These universal equations had lower prediction error than the extant IPCC 2019 equations. Developing age-specific models for adult sheep (>1-year-old) including DMI alone (RSR = 0.66) or in combination with rumen propionate molar proportion (for research of more refined purposes) substantially improved prediction performance (RSR = 0.57) on a smaller dataset. On the contrary, for young sheep (<1-year-old), the universal models could be applied, instead of age-specific models, if DMI and BW were included. Universal models showed similar prediction performances to the diet- and region-specific models. However, optimal prediction equations led to different regression coefficients (i.e. intercepts and slopes) for universal, age-specific, diet-specific, and region-specific models with predictive implications. Equations for CH4 yield led to low prediction performances, with DMI being negatively and BW and OMD positively correlated with CH4 yield. In conclusion, predicting sheep CH4 production requires information on DMI and prediction accuracy will improve national and global inventories if separate equations for young and adult sheep are used with the additional variables BW, OMD and rumen propionate proportion. Appropriate universal equations can be used to predict CH4 production from sheep across different diets and climatic conditions.
000124052 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027764-I/AEI/10.13039/501100011033$$9info:eu-repo/grantAgreement/ES/INIA/MIT01-GLOBALNET-EEZ$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101000395-PATHWAYS$$9info:eu-repo/grantAgreement/EC/H2020/101000395/EU/Pathways for transitions to sustainability in livestock husbandry and food systems/PATHWAYS
000124052 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000124052 590__ $$a9.8$$b2023
000124052 592__ $$a2.058$$b2023
000124052 591__ $$aENGINEERING, ENVIRONMENTAL$$b9 / 81 = 0.111$$c2023$$dQ1$$eT1
000124052 593__ $$aEnvironmental Science (miscellaneous)$$c2023$$dQ1
000124052 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b13 / 91 = 0.143$$c2023$$dQ1$$eT1
000124052 593__ $$aStrategy and Management$$c2023$$dQ1
000124052 591__ $$aENVIRONMENTAL SCIENCES$$b24 / 358 = 0.067$$c2023$$dQ1$$eT1
000124052 593__ $$aRenewable Energy, Sustainability and the Environment$$c2023$$dQ1
000124052 593__ $$aIndustrial and Manufacturing Engineering$$c2023$$dQ1
000124052 594__ $$a20.4$$b2023
000124052 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000124052 700__ $$aHristov, A. N.
000124052 700__ $$avan Lingen, H. J.
000124052 700__ $$aDenman, S. E.
000124052 700__ $$aKebreab, E.
000124052 700__ $$aSchwarm, A.
000124052 700__ $$aKreuzer, M.
000124052 700__ $$aNiu, M.
000124052 700__ $$aEugène, M.
000124052 700__ $$aNiderkorn, V.
000124052 700__ $$aMartin, C.
000124052 700__ $$aArchimède, H.
000124052 700__ $$aMcGee, M.
000124052 700__ $$aReynolds, C. K.
000124052 700__ $$aCrompton, L. A.
000124052 700__ $$aBayat, A. R.
000124052 700__ $$aYu, Z.
000124052 700__ $$aBannink, A.: Dijkstra, J.
000124052 700__ $$aChaves, A. V.
000124052 700__ $$aClark, H.
000124052 700__ $$aMuetzel, S.
000124052 700__ $$aLind, V.
000124052 700__ $$aMoorby, J. M.
000124052 700__ $$aRooke, J. A.
000124052 700__ $$aAubry, A.
000124052 700__ $$aAntezana, W.
000124052 700__ $$aWang, M.
000124052 700__ $$aHegarty, R.
000124052 700__ $$aHutton, Oddy, V.
000124052 700__ $$aHill, J.
000124052 700__ $$aVercoe, P. E.
000124052 700__ $$aSavian, J. V.
000124052 700__ $$aAbdalla, A. L.
000124052 700__ $$aSoltan, Y. A.
000124052 700__ $$aGomes Monteo, A. L.
000124052 700__ $$aKu-Vera, J. C.
000124052 700__ $$aJaurena, G.
000124052 700__ $$aGómez-Bravo, C. A.
000124052 700__ $$aMayorga, O. L.
000124052 700__ $$aCongio, G. F. S.
000124052 700__ $$aYáñez-Ruiz, D. R.
000124052 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal
000124052 773__ $$g384 (2023), 135523 [17 pp.]$$pJ. clean. prod.$$tJournal of Cleaner Production$$x0959-6526
000124052 8564_ $$s11637409$$uhttps://zaguan.unizar.es/record/124052/files/texto_completo.pdf$$yVersión publicada
000124052 8564_ $$s2384273$$uhttps://zaguan.unizar.es/record/124052/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000124052 909CO $$ooai:zaguan.unizar.es:124052$$particulos$$pdriver
000124052 951__ $$a2024-11-22-11:58:48
000124052 980__ $$aARTICLE