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16 results on '"Evers, J. B."'

6. A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometry

Author

Molecular Plant Physiology, Sub Plant Ecophysiology, Sub Developmental Biology, Sub Molecular Plant Physiology, Developmental Biology, Plant Ecophysiology, Morales, Alejandro, Teapal, J., Ammerlaan, J. M. H., Yin, X., Evers, J. B., Anten, N. P. R., Sasidharan, R., Van Zanten, M., Molecular Plant Physiology, Sub Plant Ecophysiology, Sub Developmental Biology, Sub Molecular Plant Physiology, Developmental Biology, Plant Ecophysiology, Morales, Alejandro, Teapal, J., Ammerlaan, J. M. H., Yin, X., Evers, J. B., Anten, N. P. R., Sasidharan, R., and Van Zanten, M.

Published
2020

7. Quantifying the Feedback Between Rice Architecture, Physiology, and Microclimate Under Current and Future CO 2 Conditions

Author

Sikma, M., primary, Ikawa, H., additional, Heusinkveld, B. G., additional, Yoshimoto, M., additional, Hasegawa, T., additional, Groot Haar, L. T., additional, Anten, N. P. R., additional, Nakamura, H., additional, Vilà‐Guerau de Arellano, J., additional, Sakai, H., additional, Tokida, T., additional, Usui, Y., additional, and Evers, J. B., additional

Published
2020
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8. Substantial differences occur between canopy and ambient climate: Quantification of interactions in a greenhouse-canopy system.

Author

Westreenen, A. van, Zhang, N., Douma, J. C., Evers, J. B., Anten, N. P. R., and Marcelis, L. F. M.

Subjects
GREENHOUSES, LEAF area index, ATMOSPHERIC temperature, HEAT radiation & absorption, CLIMATOLOGY, GREENHOUSE plants
Abstract

Organ temperature and variation therein plays a key role in plant functioning and its responses to e.g. climate change. There is a strong feedback between organ, especially leaf, temperature and the climate within the canopy (canopy climate), which in turn interacts with the climate outside the canopy (ambient climate). For greenhouses, the determinants of this interplay and how they drive differences between canopy and ambient climate are poorly understood. Yet, as many experiments on both regular greenhouse crops and field crops are done in greenhouses, this is crucial to know. Therefore, we designed an experiment to quantify the differences between ambient and canopy climate and leaf temperature. A path analysis was performed to quantify the interactions between components of the greenhouse canopy-climate system. We found that with high radiation the canopy climate can be up to 5°C cooler than the ambient climate, while for cloudy days this was only 2°C. Canopy relative humidity (RH) was up to 25% higher compared to ambient RH. We showed that radiation is very important for these climate differences, but that this effect could be partly counteracted by turning off supplementary light (i.e. due to its indirect effects e.g. changing light distribution). Leaf temperature was substantially different, both higher and lower, from the canopy air temperature. This difference was determined by leaf area index (LAI), temperature of the heating pipe and the use of supplementary light, which all strongly influence radiation, either shortwave or thermal radiation. The difference between leaf and ambient air temperature could be decreased by decreasing the LAI or increasing the temperature of the heating pipe. [ABSTRACT FROM AUTHOR]

Published
2020
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9. Quantifying the Feedback Between Rice Architecture, Physiology, and Microclimate Under Current and Future CO2 Conditions.

Author

Sikma, M., Ikawa, H., Heusinkveld, B. G., Yoshimoto, M., Hasegawa, T., Groot Haar, L. T., Anten, N. P. R., Nakamura, H., Vilà‐Guerau de Arellano, J., Sakai, H., Tokida, T., Usui, Y., and Evers, J. B.

Subjects
RICE varieties, CLIMATE change, ATMOSPHERIC carbon dioxide, PLANT physiology, RICE
Abstract

The article presents a study which examined the relationships between rice architecture, physiology, and microclimate under present and future microenvironments as of March 2020 to determine the micrometeorological effects of rice variety choices in atmospheric carbon dioxide (CO2) and climate change. It discusses the use of the rice varieties Takanari and Koshihikari to determine the relation between plant physiology and microclimate.

Published
2020
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10. Simulating the red:far-red ratio of individual plant organs, a key issue for hytochrome-driven processes

Author

Michaël Chelle, Evers, J. B., Christian Fournier, Didier Combes, Vos, J., Bruno Andrieu, Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Crop and Weed Ecology, Plant Sciences Group, Wageningen University and Research Centre [Wageningen] (WUR), UR 0004 Unité de Recherche Écophysiologie des Plantes Fourragères, Institut National de la Recherche Agronomique (INRA)-Environnement et Agronomie (E.A.)-Unité de Recherche Écophysiologie des Plantes Fourragères (UEPF), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Wageningen University and Research [Wageningen] (WUR), Unité de recherche d'Écophysiologie des Plantes Fourragères (UEPF), and Institut National de la Recherche Agronomique (INRA)

Subjects
SYSTEME DE LINDENMAYER, LIGHT MODEL, RED: FAR-RED, [SDV]Life Sciences [q-bio], WHEAT, RADIOSITY, L-SYSTEM, ECOPHYSIOLOGIE
Abstract

absent

Published
2007

12. Modeling tillering in wheat (Triticum aestivum L.) using L-systems

Author

Evers, J. B., Jan Vos, Clarisse Fournier, Michaël Chelle, Bruno Andrieu, Unité de recherches en bioclimatologie, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, SYSTEME DE LINDENMAYER, MODELISATION TRIDIMENSIONNELLE, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, Life Science, Leerstoelgroep Gewas- en onkruidecologie, ECOPHYSIOLOGIE, PE&RC, Crop and Weed Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2003

15. Functional-structural modelling of Gramineae

Author

Christian Fournier, Bruno Andrieu, Gerhard Buck-Sorlin, Evers, J. B., Jean-Louis Drouet, Abraham ESCOBAR GUTIERREZ, Vos, J., Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Leibniz Institute of Plant Genetics and Crop Plant Research, Crop and Weed Ecology, Wageningen University and Research Centre [Wageningen] (WUR), UR 0004 Unité de Recherche Écophysiologie des Plantes Fourragères, Institut National de la Recherche Agronomique (INRA)-Environnement et Agronomie (E.A.)-Unité de Recherche Écophysiologie des Plantes Fourragères (UEPF), Absent, Wageningen University and Research [Wageningen] (WUR), Unité de recherche d'Écophysiologie des Plantes Fourragères (UEPF), Institut National de la Recherche Agronomique (INRA), J. Vos (Editeur), L.F.M. Marcelis (Editeur), P.H.B. De Visser (Editeur), P.C. Struik (Editeur), J.B. Evers (Editeur), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech

Subjects
MORPHOGENESE, 0303 health sciences, 03 medical and health sciences, [SDV]Life Sciences [q-bio], 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, AGRONOMIE, 04 agricultural and veterinary sciences, ECOPHYSIOLOGIE, FONCTIONNEMENT DES PLANTES, 030304 developmental biology
Abstract

Chap. 15; absent

16. A Mathematical Approach Estimating Source and Sink Functioning of Competing Organs

Author

Kang, M.Z., De Reffye, Philippe, Modélisation de la croissance et de l'architecture des plantes (DIGIPLANTE), Mathématiques Appliquées aux Systèmes - EA 4037 (MAS), Ecole Centrale Paris-Ecole Centrale Paris-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Eco-informatics (LIAMA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Chinese Academy of Sciences [Changchun Branch] (CAS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institute of Automation - Chinese Academy of Sciences-Centre National de la Recherche Scientifique (CNRS), Capital Normal University [Beijing], Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Wageningen University and Research Centre, Vos, J., Marcelis, L. F. M., De Visser, P. H. B., Struik, P. C., Evers, J. B., Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Mathématiques Appliquées aux Systèmes - EA 4037 (MAS), Ecole Centrale Paris-Ecole Centrale Paris, Institut National de la Recherche Agronomique (INRA)-Chinese Academy of Sciences [Changchun Branch] (CAS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institute of Automation - Chinese Academy of Sciences-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Ecole Centrale Paris-Ecole Centrale Paris-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Ecole Centrale Paris-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Vos, J.A. and Marcelis, and L.F.M.

Subjects
0106 biological sciences, 2. Zero hunger, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 01 natural sciences, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 010606 plant biology & botany
Abstract

in pressin pressin press; Plant growth and development depend on both organogenesis and photosynthesis. Organogenesis sets in place various organs (leaves, internodes, fruits, roots) that have their own sinks. The sum of these sinks corresponds to the plant demand. Photosynthesis of the leaves provides the biomass supply (source) that is to be shared among the organs according to their sink strength. Here we present a mathematical model – GreenLab – that describes dynamically plant architecture in a resource-dependent way. The source and sink functions of the various organs control the biomass acquisition and partitioning during plant development and growth, giving the sizes and weights of organs according to their position in the plant architecture. Non-linear least-square method was used to estimate the numerical values of (hidden) parameters that control the organ sink variation and leaf functioning. Through simultaneous fitting of data from several developmental stages (multi-fitting), plant growth could be described satisfactorily with just a few parameters. Examples of application on cotton and maize are shown in this article.

Published
2006

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