Guidelines for using cow milk mid-infrared spectra to predict GreenFeed enteric methane emissions
- Coppa, M. , Vanlierde, A. , Bouchon, M. , Jurquet, J. , Musati, M. , Dehareng, D. & Martin C. (2022). Guidelines for using cow milk mid-infrared spectra to predict GreenFeed enteric methane emissions. Proceedings in: EAAP, Porto, 5-9/9/22,
| Type | Conference Proceedings |
| Year of conference | 2022 |
| Title | Guidelines for using cow milk mid-infrared spectra to predict GreenFeed enteric methane emissions |
| Conference name | EAAP |
| Conference location | Porto |
| conference Date | 5-9/9/22 |
| Abstract | Various methodological protocols were tested to identify the best approach to predict GreenFeed system (GF) measured enteric methane (CH4) emissions by mid-infrared spectroscopy (MIR) on milk. Individual milk yield (MY), fat and protein corrected milk (FPCM), and dry matter intake (DMI) were recorded daily on 115 Holstein cows fed diets with different methanogenic potential. Milk samples were collected twice a week. Twenty CH4 spot measurements with GF were taken as the basic measurement unit (BMU) of CH4. Partial least squares regressions were validated on an independent datasets. Models based on single daily spectra (SD spectra) were calibrated using a CH4 measurement duration of 1, 2, 3 or 4 BMU. Models built from the average of daily spectra (AD spectra) collected during the corresponding CH4 measurement periods were also developed. Corrections of spectra by days in milk (DIM) and the inclusion of parity, MY, and FPCM as explanatory variables were tested. Long duration of CH4 measurement by GF performed better than short duration: the R2 of validation (R2V) for CH4 emissions in g/d were 0.60 vs 0.52 for 4 and 1 UBM, respectively. Coupling GF reference data with the corresponding milk MIR AD spectra gave better prediction than using SD spectra (R2V = 0.70 vs 0.60 for CH4 as g/d on 4 BMU). Correcting the SD spectra by DIM improved R2V compared to the equivalent DIM uncorrected models (R2V = 0.67 vs 0.60 for CH4 as g/d on 4 BMU). Adding other phenotypic information as explanatory variables did not further improve the performance of models built on DIM-corrected SD spectra, whereas including MY (or FPCM) improved the performance of models built on the AD spectra (uncorrected by DIM) recorded during the CH4 measurement period (R2V = 0.73 vs 0.70 for CH4 as g/d on 4 BMU). |
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| Authors | Coppa, M., Vanlierde, A., Bouchon, M., Jurquet, J., Musati, M., Dehareng, D., Martin C. |
