Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture

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,...
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Autor*in:	Jing Cui [verfasserIn] Juan Manuel Chao de la Barca [verfasserIn] Emmanuelle Lamade [verfasserIn] Guillaume Tcherkez [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	diagnostic machine‐learning metabolomics oil palm potassium

Übergeordnetes Werk:	In: Plants, People, Planet - Wiley, 2019, 3(2021), 4, Seite 350-354
Übergeordnetes Werk:	volume:3 ; year:2021 ; number:4 ; pages:350-354

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/ppp3.10169

Katalog-ID:	DOAJ057365776

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allfields_unstemmed	10.1002/ppp3.10169 doi (DE-627)DOAJ057365776 (DE-599)DOAJbfd3aabe93c34d72ba681da35da281a1 DE-627 ger DE-627 rakwb eng GE1-350 QK1-989 Jing Cui verfasserin aut Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. diagnostic machine‐learning metabolomics oil palm potassium Environmental sciences Botany Juan Manuel Chao de la Barca verfasserin aut Emmanuelle Lamade verfasserin aut Guillaume Tcherkez verfasserin aut In Plants, People, Planet Wiley, 2019 3(2021), 4, Seite 350-354 (DE-627)1025401395 (DE-600)2934377-X 25722611 nnns volume:3 year:2021 number:4 pages:350-354 https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/article/bfd3aabe93c34d72ba681da35da281a1 kostenfrei https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/toc/2572-2611 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2021 4 350-354
allfieldsGer	10.1002/ppp3.10169 doi (DE-627)DOAJ057365776 (DE-599)DOAJbfd3aabe93c34d72ba681da35da281a1 DE-627 ger DE-627 rakwb eng GE1-350 QK1-989 Jing Cui verfasserin aut Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. diagnostic machine‐learning metabolomics oil palm potassium Environmental sciences Botany Juan Manuel Chao de la Barca verfasserin aut Emmanuelle Lamade verfasserin aut Guillaume Tcherkez verfasserin aut In Plants, People, Planet Wiley, 2019 3(2021), 4, Seite 350-354 (DE-627)1025401395 (DE-600)2934377-X 25722611 nnns volume:3 year:2021 number:4 pages:350-354 https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/article/bfd3aabe93c34d72ba681da35da281a1 kostenfrei https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/toc/2572-2611 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2021 4 350-354
allfieldsSound	10.1002/ppp3.10169 doi (DE-627)DOAJ057365776 (DE-599)DOAJbfd3aabe93c34d72ba681da35da281a1 DE-627 ger DE-627 rakwb eng GE1-350 QK1-989 Jing Cui verfasserin aut Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. diagnostic machine‐learning metabolomics oil palm potassium Environmental sciences Botany Juan Manuel Chao de la Barca verfasserin aut Emmanuelle Lamade verfasserin aut Guillaume Tcherkez verfasserin aut In Plants, People, Planet Wiley, 2019 3(2021), 4, Seite 350-354 (DE-627)1025401395 (DE-600)2934377-X 25722611 nnns volume:3 year:2021 number:4 pages:350-354 https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/article/bfd3aabe93c34d72ba681da35da281a1 kostenfrei https://doi.org/10.1002/ppp3.10169 kostenfrei https://doaj.org/toc/2572-2611 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2021 4 350-354
language	English
source	In Plants, People, Planet 3(2021), 4, Seite 350-354 volume:3 year:2021 number:4 pages:350-354
sourceStr	In Plants, People, Planet 3(2021), 4, Seite 350-354 volume:3 year:2021 number:4 pages:350-354
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	diagnostic machine‐learning metabolomics oil palm potassium Environmental sciences Botany
isfreeaccess_bool	true
container_title	Plants, People, Planet
authorswithroles_txt_mv	Jing Cui @@aut@@ Juan Manuel Chao de la Barca @@aut@@ Emmanuelle Lamade @@aut@@ Guillaume Tcherkez @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	1025401395
id	DOAJ057365776
language_de	englisch
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callnumber-first	G - Geography, Anthropology, Recreation
author	Jing Cui
spellingShingle	Jing Cui misc GE1-350 misc QK1-989 misc diagnostic misc machine‐learning misc metabolomics misc oil palm misc potassium misc Environmental sciences misc Botany Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
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topic_title	GE1-350 QK1-989 Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture diagnostic machine‐learning metabolomics oil palm potassium
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title	Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
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title_full	Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
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author_browse	Jing Cui Juan Manuel Chao de la Barca Emmanuelle Lamade Guillaume Tcherkez
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title_sort	potassium nutrition in oil palm: the potential of metabolomics as a tool for precision agriculture
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title_auth	Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Potassium nutrition in oil palm: The potential of metabolomics as a tool for precision agriculture
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