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Lucienne DESFONTAINES
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Documents
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- lucienne-desfontaines
Présentation
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Quantitative trait loci and candidate genes for physico‐chemical traits related to tuber quality in greater yam ( Dioscorea alata L.)Journal of the Science of Food and Agriculture, 2023, ⟨10.1002/jsfa.12822⟩
Article dans une revue
hal-04217257v1
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Convolutional neural network allows amylose content prediction in yam (Dioscorea alata L.) flour using near infrared spectroscopyJournal of the Science of Food and Agriculture, inPress, ⟨10.1002/jsfa.12825⟩
Article dans une revue
hal-04218500v1
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Predicting quality, texture and chemical content of yam ( Dioscorea alata L.) tubers using near infrared spectroscopyJournal of Near Infrared Spectroscopy, 2021, 29 (3), pp.128-139. ⟨10.1177/09670335211007575⟩
Article dans une revue
hal-03213799v1
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Assembler la diversité des modèles classiques et «deep learning» pour développer un pipeline de calibration SPIR performant et génériqueRencontres HélioSPIR Session 5, Association HelioSPIR, Oct 2019, Montpellier, France
Communication dans un congrès
hal-02958421v1
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Development of NIRS and molecular marker to improve breeding efficiency in Greater Yam (Dioscorea Alata L.) for key quality traitsThe 2nd International Conference on Applied Biochemistry and Biotecnology (ABB 2019, Jul 2019, Macau, China. pp.21 - 24
Communication dans un congrès
hal-02958437v1
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Recent advances in yam crop physiology and perspectives for breeding strategies2. International Yam Crop Science Workshop (IYCSW), Tokyo University of Agriculture (Tokyo NODAI). Tokyo, JPN., Mar 2018, Tokyo, Japan
Communication dans un congrès
hal-02791432v1
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