Cui Jing, Chao de la Barca Juan Manuel, Lamade Emmanuelle, Tcherkez Guillaume. 2021. Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture. Plants, People, Planet, 3 (4) : 350-354.
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Quartile : Q1, Sujet : BIODIVERSITY CONSERVATION / Quartile : Q1, Sujet : ECOLOGY / Quartile : Q1, Sujet : PLANT SCIENCES
Résumé : Societal Impact Statement. Oil palm is the first oil‐producing crop globally, representing nearly 20 million ha. In the recent past, oil palm cultivation has been controversial not only because of land utilisation at the expense of primary tropical forests or health concerns associated with palm oil, but also pollution caused by fertilization (including CO2 produced to synthesise fertilizers). Oil palm fields are heavily fertilized with potassium (K), and thus finding better, more parsimonious methods to monitor K nutrition is more important than ever. Here, we suggest that metabolomics and subsequent machine learning of metabolic signatures represent a promising tool to probe K requirements, opening avenues for precision agriculture in oil palm industry.
Mots-clés Agrovoc : Elaeis guineensis, potassium, apprentissage machine, modélisation, simulation, diagnostic, besoin en sels minéraux, métabolisme des minéraux
Mots-clés complémentaires : metabolomics
Mots-clés libres : Diagnostic, Machine-learning, Metabolomics, Oil palm, Potassium
Classification Agris : F04 - Fertilisation
Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques
Auteurs et affiliations
- Cui Jing, ANU (AUS)
- Chao de la Barca Juan Manuel, Université d'Angers (FRA)
- Lamade Emmanuelle, CIRAD-PERSYST-UPR Systèmes de pérennes (FRA) ORCID: 0000-0002-4909-0997
- Tcherkez Guillaume, ANU (AUS) - auteur correspondant
Source : Cirad-Agritrop (https://agritrop.cirad.fr/597091/)
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