文章基本信息

标题：Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
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作者：Jing Cui ; Juan Manuel Chao de la Barca ; Emmanuelle Lamade 等
期刊名称：PLANTS, PEOPLE, PLANET
电子版ISSN：2572-2611
出版年度：2021
卷号：3
期号：4
页码：350-354
DOI：10.1002/ppp3.10169
摘要：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 CO 2 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.
关键词：diagnostic;machine-learning;metabolomics;oil palm;potassium