Machine learning technique unraveled subspecies-specific ionomic variation with 
the preferential mineral enrichment in rice

Tiozon, R. Jr. N.; Buenafe, R.J.Q.; Jain, V.; Sen, P.; Molina, L.R.; Anacleto, R.; Sreenivasulu, N.

doi:10.1002/cche.10706

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Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice

Tiozon, R. J. N., Buenafe, R., Jain, V., Sen, P., Molina, L., Anacleto, R., et al. (2024). Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice. Cereal Chemistry, 101(2), 367-381. doi:10.1002/cche.10706.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-AD7E-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-03DD-5

Genre: Journal Article

Alternative Title : Cereal Chemistry

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Creators:
Tiozon, R. Jr. N.¹, Author
Buenafe, R.J.Q.², Author
Jain, V.², Author
Sen, P.², Author
Molina, L.R.², Author
Anacleto, R.², Author
Sreenivasulu, N.², Author

Affiliations:
1Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3396323
2external, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2023-08-15Date issued: 2024-03

Publication Status: Issued

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Identifiers: DOI: 10.1002/cche.10706

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Title: Cereal Chemistry

Source Genre: Journal

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Publ. Info: St. Paul, Minn., etc. : American Association of Cereal Chemists.

Pages: - Volume / Issue: 101 (2) Sequence Number: - Start / End Page: 367 - 381 Identifier: ISSN: 0009-0352
CoNE: https://pure.mpg.de/cone/journals/resource/991042723386148