Pardon Lénaïc, Bockstaller Christian, Marichal Raphaël, Sionita T. Ribka, Nelson Paul N., Gabrielle Benoît, Laclau Jean-Paul, Pujanto, Caliman Jean-Pierre, Bessou Cécile. 2020. IN-Palm: An agri-environmental indicator to assess nitrogen losses in oil palm plantations. Agronomy Journal, 112 (2) : 786-800.
|
Version post-print
- Anglais
Utilisation soumise à autorisation de l'auteur ou du Cirad. Pardon et al. - 2020 - IN‐Palm An agri‐environmental indicator to assess.pdf Télécharger (1MB) | Prévisualisation |
|
Version Online first
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. 595215.pdf Télécharger (1MB) | Demander une copie |
||
Version publiée
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. 595215.pdf Télécharger (1MB) | Demander une copie |
Quartile : Q2, Sujet : AGRONOMY
Résumé : Oil palm (Elaeis guineensis Jacq.) is currently cultivated on 19 million ha, and palm oil represents more than one‐third of the global vegetable oil market. Addition of nitrogen (N) via legume cover crop and fertilizers is a common practice in industrial oil palm plantations, however, there is a tendency for N loss, thus contributing significantly to environmental effects. To improve the sustainability of palm oil production, it is crucial to determine which management practices minimize N losses. Continuous field measurements would be cost‐prohibiting as a monitoring tool, and in the case of oil palm, available models do not account for all the potential nitrogen inputs and losses or management practices. In this context, we developed IN‐Palm, a model to help managers and scientists estimate N losses to the environment and identify best management practices. The main challenge was to build the model in a context of knowledge scarcity. Given these objectives and constraints, we developed an agri‐environmental indicator, using the INDIGO method and fuzzy decision trees. We validated the N leaching module of IN‐Palm against field data from Sumatra, Indonesia. IN‐Palm is implemented in an Excel file and uses 21 readily available input variables to compute 17 modules. It estimates annual emissions and scores for each N‐loss pathway and provides recommendations to reduce N losses. IN‐Palm predictions of N leaching were acceptable according to several statistics, with a tendency to underestimate nitrogen leaching. Thus, we highlighted necessary improvements to increase IN‐Palm precision before use in plantations.
Mots-clés Agrovoc : Elaeis guineensis, azote, plante de couverture, engrais azoté, facteur du milieu, lessivage du sol, surveillance de l'environnement
Mots-clés géographiques Agrovoc : Sumatra, Indonésie
Classification Agris : F04 - Fertilisation
U10 - Informatique, mathématiques et statistiques
Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques
Auteurs et affiliations
- Pardon Lénaïc - auteur correspondant
- Bockstaller Christian, INRAE (FRA)
- Marichal Raphaël, CIRAD-PERSYST-UPR Systèmes de pérennes (FRA) ORCID: 0000-0001-9070-5749
- Sionita T. Ribka, SMART Research Institute (IDN)
- Nelson Paul N., James Cook University (AUS)
- Gabrielle Benoît, AgroParisTech (FRA)
- Laclau Jean-Paul, CIRAD-DG-Saurs (FRA) ORCID: 0000-0002-2506-214X
- Pujanto, SMART Research Institute (IDN)
- Caliman Jean-Pierre, SMART Research Institute (IDN)
- Bessou Cécile, CIRAD-PERSYST-UPR Systèmes de pérennes (FRA) ORCID: 0000-0001-6686-8468 - auteur correspondant
Source : Cirad-Agritrop (https://agritrop.cirad.fr/595215/)
[ Page générée et mise en cache le 2024-12-18 ]