Milk fatty acids estimated by mid-infrared spectroscopy and milk yield can predict methane emissions in dairy cows
| Autor: | Cornelia C. Metges, Gürbüz Daş, Armin Tuchscherer, Michael Derno, Werner Berg, Stefanie W. Engelke, Björn Kuhla |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Environmental Engineering Coefficient of determination [SDV]Life Sciences [q-bio] Methane Enteric methane emission 03 medical and health sciences chemistry.chemical_compound Animal science Milk yield Fodder Ruminant Milk fatty acids Respiration Dairy cows Methane proxy Mid-infrared spectroscopy Methane prediction equation Linseed supplementation Spectroscopy chemistry.chemical_classification biology 0402 animal and dairy science food and beverages Fatty acid 04 agricultural and veterinary sciences biology.organism_classification 040201 dairy & animal science 030104 developmental biology chemistry 13. Climate action Agronomy and Crop Science |
| Zdroj: | Agronomy for Sustainable Development Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2018, 38 (3), pp.27. ⟨10.1007/s13593-018-0502-x⟩ Agronomy for sustainable development, 38:27 |
| ISSN: | 1773-0155 1774-0746 |
| DOI: | 10.1007/s13593-018-0502-x |
| Popis: | International audience; AbstractRuminant enteric methane emission contributes to global warming. Although breeding low methane-emitting cows appears to be possible through genetic selection, doing so requires methane emission quantification by using elaborate instrumentation (respiration chambers, SF6 technique, GreenFeed) not feasible on a large scale. It has been suggested that milk fatty acids are promising markers of methane production. We hypothesized that methane emission can be predicted from the milk fatty acid concentrations determined by mid-infrared spectroscopy, and the integration of energy-corrected milk yield would improve the prediction. Therefore, we examined relationships between methane emission of cows measured in respiration chambers and milk fatty acids, predicted by mid-infrared spectroscopy, to derive diet-specific and general prediction equations based on milk fatty acid concentrations alone and with the additional consideration of energy-corrected milk yield. Cows were fed diets differing in forage type and linseed supplementation to generate a large variation in both CH4 emission and milk fatty acids. Depending on the diet, equations derived from regression analysis explained 61 to 96% of variation of methane emission, implying the potential of milk fatty acid data predicted by mid-infrared spectroscopy as novel proxy for direct methane emission measurements. When data from all diets were analyzed collectively, the equation with energy-corrected milk yield (CH4 (L/day) = − 1364 + 9.58 × energy-corrected milk yield + 18.5 × saturated fatty acids + 32.4 × C18:0) showed an improved coefficient of determination of cross-validation R2CV = 0.72 compared to an equation without energy-corrected milk yield (R2CV = 0.61). Equations developed for diets supplemented by linseed showed a lower R2CV as compared to diets without linseed (0.39 to 0.58 vs. 0.50 to 0.91). We demonstrate for the first time that milk fatty acid concentrations predicted by mid-infrared spectroscopy together with energy-corrected milk yield can be used to estimate enteric methane emission in dairy cows. |
| Databáze: | OpenAIRE |
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