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Development and evaluation of prediction equations for methane emission from Nellore cattle

ABSTRACT.

Dry matter intake (DMI), nutrient intake and enteric CH4 emission were evaluated in 48 Nellore cattle (392 ± 27 days of age). Equations were generated from intake data and evaluated using root mean square prediction error (RMSPE), and validated by cross-validation. Equations that included DMI and hemicellulose intake (HEMI) [CH4MJ d-1=4.08±1.65+11.6±2.34DMIkg d-1-33.4±7.21HEMI(kg d-1)]; DMI and total carbohydrate intake (TCHI) [CH4MJ d-1=5.26±1.69-6.3±1.47DMIkg d-1+8.8±1.81TCIkg d-1]; metabolizable energy intake (MEI) and cellulose intake (CELI) [CH4MJ d-1=5.16±1.72-0.13±0.048MEIMJ d-1+7.37±1.53CELIkg d-1], and non-fiber carbohydrate intake (NFCI) [CH4MJ d-1=3.14±1.48+3.65±1.05NFCIkg d-1] resulted in the lowest RMSPE (14.3, 14.1, 14.3 and 14.7%, respectively). When literature equations were evaluated using our database, the most accurate predictions were obtained with equations that included DMI and lignin intake (RMSPE = 15.27%) and MEI, acid detergent fiber intake and lignin intake (RMSPE = 15.7%). The mean error of predicting enteric CH4 emission with the equations developed in this study based on DMI and nutrient intake is 17% and the most accurate predictions are obtained with equations including DMI, carbohydrate intake and MEI.

Keywords:
beef cattle; dry matter intake; greenhouse gas; prediction; sulfur hexafluoride

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