Intramuscular Fatty Acids in Meat Could Predict Enteric Methane Production by Fattening Lambs

Autor: Silvia Martínez-Miró, Andrés L. Martínez Marín, Fuensanta Hernández, Francisco Requena Domenech, Pilar Gómez-Cortés, Miguel Angel de la Fuente
Přispěvatelé: European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Consejo Superior de Investigaciones Científicas (España), Centro para el Desarrollo Tecnológico Industrial (España)
Rok vydání: 2021
Předmět:
Zdroj: Animals : an Open Access Journal from MDPI
Digital.CSIC. Repositorio Institucional del CSIC
instname
Animals
Volume 11
Issue 7
Animals, Vol 11, Iss 2053, p 2053 (2021)
ISSN: 2076-2615
Popis: This article belongs to the Special Issue Competitiveness of Spanish Local Breeds.
Methane (CH4) emissions pose a serious problem for the environmental sustainability of ruminant production. The aim of the present study was to explore the usefulness of the intramuscular fatty acid (FA) profile to estimate CH4 production of lambs fattened under intensive feeding systems. A statistical regression analysis of intramuscular FA derived from ruminal metabolism was carried out to assess the best predictive model of CH4 production (g/d) in lambs fed with different diets. CH4 was calculated with three distinct equations based on organic matter digestibility (OMD) at maintenance feeding levels. The OMD of the experimental diets was determined in an in vivo digestibility trial by means of the indicator method. Regression models were obtained by stepwise regression analysis. The three optimized models showed high adjusted coefficients of determination (R2adj = 0.74–0.93) and concordance correlation coefficients (CCC = 0.89–0.98), as well as small root mean square prediction errors (RMSPE = 0.29–0.40 g/d). The best single predictor was vaccenic acid (trans-11 C18:1), a bioactive FA that is formed in the rumen to a different extent depending on dietary composition. Based on our data and further published lamb research, we propose a novel regression model for CH4 production with excellent outcomes: CH4 (g/d) = −1.98 (±1.284)–0.87 (±0.231) × trans-11 C18:1 + 0.79 (±0.045) × BW (R2adj = 0.97; RMSPE = 0.76 g/d; CCC = 0.98). In conclusion, these results indicate that specific intramuscular FA and average BW during fattening could be useful to predict CH4 production of lambs fed high concentrate diets.
This research was funded by CDTI and CRIN Smart Growth Operating Program FEDER 2014–2020 (grant number INALSA IDI-20160001) as well as the Spanish Ministry of Economy and Competitiveness (project number AGL2016-75159-C2-2-R). P. G-C benefited from a Ramón y Cajal research contract (RYC2019-027933-I) and funding from the Spanish National Research Council (20217AT002).
Databáze: OpenAIRE
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