An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows

Table 1 Experimental summary and chemical composition of the diets used in the study (% of DM unless otherwise stated)¹

¹DIM = days in milk, DMI = dry matter intake, NESec = net energy secreted in milk, BW = body weight, BEC = body energy changes, OM = organic matter, CP = crude protein, RDP = rumen degraded protein, RUP = rumen undegraded protein, NDF = neutral detergent fiber, ADF = acid detergent fiber, NFC = non-fibrous carbohydrates, NEL = net energy required of lactation, kg = kilograms, and Mcal = megacalories, SD = standard deviation, CAN = Canada, UF = University of Florida (U.S.A.)
²Mion et al. (2023), DOI: https://doi.org/10.1093/jas/skad041
³Zimpel et al. (2021), DOI: https://doi.org/10.3168/jds.2021-20486
⁴Unpublished. Ingredient composition can be accessed in Supplementary Table 1
⁵Oyebade et al. (2023), DOI: https://doi.org/10.3168/jds.2022-22898
⁶Lobo et al. (2023), DOI: https://doi.org/10.3168/jds.2022-22583

ISSN: 2524-4671