Eliminating prediction bias in CO₂ emission models for lactating cows by incorporating feed intake: Accurate quantification of methane-reducing effects using a CO₂-based method, demonstrated by a case study on 3-nitrooxypropanol
This study highlights the importance of incorporating DMI as an explanatory variable to achieve accurate and unbiased predictions of CO₂ emissions. These findings would contribute to the appropriate application of the CO₂-based method for evaluating the CH₄-reducing effects of feed additives.
Authors
- Yuko KAMIYA (ORCID: https://orcid.org/0009-0001-1294-1399)
- I. Nonaka
- Satoshi Haga (ORCID: https://orcid.org/0000-0002-7408-015X)
- SangGun Roh
- Kenji Hosoda
- Fuminori Terada
- Kurihara Mitsunori
- Kohei Oikawa
- Tomoyuki Suzuki
Institutions
- National Agriculture and Food Research Organization (JP)
- Meiji University (JP)
- Tohoku University (JP)
- Institute of Livestock and Grassland Science (JP)
- Agri-Food Business Innovation Center (JP)
- Kyushu Okinawa Agricultural Research Center (JP)
Publication Details
- Journal
- Animal Bioscience
- Published
- 2026-03-11
- DOI
- https://doi.org/10.5713/ab.250867
- Primary Topic
- Ruminant Nutrition and Digestive Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00