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

Autor: Requena Domenech F; Departamento de Biología Celular, Fisiología e Inmunología, Universidad de Córdoba, Ctra. Madrid-Cádiz km 396, 14071 Córdoba, Spain., Gómez-Cortés P; Instituto de Investigación en Ciencias de la Alimentación, Consejo Superior de Investigaciones Científicas (CSIC), Nicolás Cabrera 9, 28049 Madrid, Spain., Martínez-Miró S; Departamento de Producción Animal, Campus Mare Nostrum, Universidad de Murcia, 30100 Murcia, Spain., de la Fuente MÁ; Instituto de Investigación en Ciencias de la Alimentación, Consejo Superior de Investigaciones Científicas (CSIC), Nicolás Cabrera 9, 28049 Madrid, Spain., Hernández F; Departamento de Producción Animal, Campus Mare Nostrum, Universidad de Murcia, 30100 Murcia, Spain., Martínez Marín AL; Departamento de Producción Animal, Universidad de Córdoba, Ctra. Madrid-Cádiz km 396, 14071 Córdoba, Spain.
Jazyk: angličtina
Zdroj: Animals : an open access journal from MDPI [Animals (Basel)] 2021 Jul 09; Vol. 11 (7). Date of Electronic Publication: 2021 Jul 09.
DOI: 10.3390/ani11072053
Abstrakt: Methane (CH 4 ) 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 CH 4 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 CH 4 production (g/d) in lambs fed with different diets. CH 4 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 (R 2 adj = 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 CH 4 production with excellent outcomes: CH 4 (g/d) = -1.98 (±1.284)-0.87 (±0.231) × trans -11 C18:1 + 0.79 (±0.045) × BW (R 2 adj = 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 CH 4 production of lambs fed high concentrate diets.
Databáze: MEDLINE
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