Modelling inter-individual variability in sugar beet populations
Modeling heterogeneity in field crops is a key issue for a better characterization of field production. This paper presents some experimental data on sugar beet illustrating this heterogeneity. Several sources of individual variability within plant populations are identified: namely, initial condition (seed biomass, emergence delay), genetic variability (including phyllochron) and environment (including spacing and competition). A mathematical framework is introduced to integrate the different sources of variability in plant growth models. It is based on the classical method of Taylor Series Expansion, which allows the propagation of uncertainty in the dynamic system of growth and the computation of the approximate means and standard deviations of the model outputs. The method is applied to the GreenLab model of plant growth and more specifically to sugar beet. It opens perspectives in order to assess the different sources of variability in plant populations and estimate their parameters from experimental data. However important issues like optimization of data collection and system identifiability have to be resolved first, since the uncertainty effects may be mixed in an inextricable way or may necessitate a too huge amount of experimental data for their estimation.
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dig-cirad-fr-5560762022-03-30T12:56:17Z http://agritrop.cirad.fr/556076/ http://agritrop.cirad.fr/556076/ Modelling inter-individual variability in sugar beet populations. De Reffye Philippe, Lemaire Sébastien, Srivastava Nitish, Maupas Fabienne, Cournède Paul-Henry. 2010. In : Plant growth modeling and applications. Proceedings PMA09 : The Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Beijing, China, 9-13 November 2009. Li Baoguo (ed.), Jaeger Marc (ed.), Guo Yan (ed.). China Agricultural University, CIRAD. Los Alamitos : IEEE Computer Society, 270-276. ISBN 978-0-7695-3988-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA09). 3, Pékin, Chine, 9 Novembre 2009/13 Novembre 2009. Researchers Modelling inter-individual variability in sugar beet populations De Reffye, Philippe Lemaire, Sébastien Srivastava, Nitish Maupas, Fabienne Cournède, Paul-Henry eng 2010 IEEE Computer Society Plant growth modeling and applications. Proceedings PMA09 : The Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Beijing, China, 9-13 November 2009 U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes Modeling heterogeneity in field crops is a key issue for a better characterization of field production. This paper presents some experimental data on sugar beet illustrating this heterogeneity. Several sources of individual variability within plant populations are identified: namely, initial condition (seed biomass, emergence delay), genetic variability (including phyllochron) and environment (including spacing and competition). A mathematical framework is introduced to integrate the different sources of variability in plant growth models. It is based on the classical method of Taylor Series Expansion, which allows the propagation of uncertainty in the dynamic system of growth and the computation of the approximate means and standard deviations of the model outputs. The method is applied to the GreenLab model of plant growth and more specifically to sugar beet. It opens perspectives in order to assess the different sources of variability in plant populations and estimate their parameters from experimental data. However important issues like optimization of data collection and system identifiability have to be resolved first, since the uncertainty effects may be mixed in an inextricable way or may necessitate a too huge amount of experimental data for their estimation. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://agritrop.cirad.fr/556027/ |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes De Reffye, Philippe Lemaire, Sébastien Srivastava, Nitish Maupas, Fabienne Cournède, Paul-Henry Modelling inter-individual variability in sugar beet populations |
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Modeling heterogeneity in field crops is a key issue for a better characterization of field production. This paper presents some experimental data on sugar beet illustrating this heterogeneity. Several sources of individual variability within plant populations are identified: namely, initial condition (seed biomass, emergence delay), genetic variability (including phyllochron) and environment (including spacing and competition). A mathematical framework is introduced to integrate the different sources of variability in plant growth models. It is based on the classical method of Taylor Series Expansion, which allows the propagation of uncertainty in the dynamic system of growth and the computation of the approximate means and standard deviations of the model outputs. The method is applied to the GreenLab model of plant growth and more specifically to sugar beet. It opens perspectives in order to assess the different sources of variability in plant populations and estimate their parameters from experimental data. However important issues like optimization of data collection and system identifiability have to be resolved first, since the uncertainty effects may be mixed in an inextricable way or may necessitate a too huge amount of experimental data for their estimation. |
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conference_item |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F01 - Culture des plantes |
author |
De Reffye, Philippe Lemaire, Sébastien Srivastava, Nitish Maupas, Fabienne Cournède, Paul-Henry |
author_facet |
De Reffye, Philippe Lemaire, Sébastien Srivastava, Nitish Maupas, Fabienne Cournède, Paul-Henry |
author_sort |
De Reffye, Philippe |
title |
Modelling inter-individual variability in sugar beet populations |
title_short |
Modelling inter-individual variability in sugar beet populations |
title_full |
Modelling inter-individual variability in sugar beet populations |
title_fullStr |
Modelling inter-individual variability in sugar beet populations |
title_full_unstemmed |
Modelling inter-individual variability in sugar beet populations |
title_sort |
modelling inter-individual variability in sugar beet populations |
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IEEE Computer Society |
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http://agritrop.cirad.fr/556076/ |
work_keys_str_mv |
AT dereffyephilippe modellinginterindividualvariabilityinsugarbeetpopulations AT lemairesebastien modellinginterindividualvariabilityinsugarbeetpopulations AT srivastavanitish modellinginterindividualvariabilityinsugarbeetpopulations AT maupasfabienne modellinginterindividualvariabilityinsugarbeetpopulations AT cournedepaulhenry modellinginterindividualvariabilityinsugarbeetpopulations |
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1758022556855566338 |