Skip to Main content Skip to Navigation
Journal articles

Relative nitrogen efficiency, a new indicator to assess crop livestock farming systems

Abstract : Improving nitrogen (N) efficiency is a priority for increasing food production while reducing its environmental impacts. N efficiency indicators are needed to achieve this goal, but current indicators have some limitations. In particular , current N efficiency indicators are not appropriate tools to compare farming systems with different types of production because animal N efficiency is, by nature, lower than crop N efficiency. A novel N efficiency indicator called "relative N efficiency" was developed to address this issue. It was calculated as the ratio of the actual N efficiency of the farming system to the weighted mean of the potential efficiency of each type of product output provided in literature reviews. Relative N efficiency was calculated for 557 farms of various types from France and Italy. The relative N efficiency indicator was validated by comparison with a statistical approach based on multiple linear regression. Statistical analysis showed that relative N efficiency was independent of production type and could therefore be used for unbiased comparison of different farming systems. Relative N efficiency was particularly interesting when comparing mixed farming systems with different proportions of animal and crop production.
Document type :
Journal articles
Complete list of metadata

Cited literature [39 references]  Display  Hide  Download
Contributor : Godinot Olivier Connect in order to contact the contributor
Submitted on : Friday, May 10, 2019 - 4:20:00 PM
Last modification on : Saturday, June 25, 2022 - 7:53:56 PM
Long-term archiving on: : Thursday, October 10, 2019 - 9:18:06 AM


Publisher files allowed on an open archive





Olivier Godinot, Philippe Leterme, Francoise Vertès, Philippe Faverdin, Matthieu Carof. Relative nitrogen efficiency, a new indicator to assess crop livestock farming systems. Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2015, 35 (2), pp.857-868. ⟨10.1007/s13593-015-0281-6⟩. ⟨hal-02042733⟩



Record views


Files downloads