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1. Pembrolizumab with platinum-based chemotherapy with or without epacadostat as first-line treatment for metastatic non-small cell lung cancer: a randomized, partially double-blind, placebo-controlled phase II study

Author

Boyer, Michael, Hui, Rina, Urban, Damien, Clingan, Philip, Su, Wu-Chou, Devaux, Celine, Gadgeel, Shirish, Garassino, Marina, Leopold, Lance, Daniel, Jeannie, Munteanu, Mihaela C., Samkari, Ayman, Luo, Yiwen, and Abreu, Delvys Rodriguez

Published
2024
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2. A new combination of automated detection and classification of Mediterranean pollen grains from annual pollen traps

Author

Gimenez, Betty, Peyron, Odile, Devaux, Celine, Joannin, Sébastien, Barboni, Doris, Beaufort, Luc, Bouby, Laurent, Canal, Sandrine, Combourieu-Nebout, Nathalie, Gally, Yves, de Garidel-Thoron, Thibault, Ivorra, Sarah, Limier, Bertrand, Terral, Jean-Frédéric, Pasquet, Jerome, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Centre de Bio-Archéologie et d'Ecologie (CBAE), Université Montpellier 2 - Sciences et Techniques (UM2)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Histoire naturelle de l'Homme préhistorique (HNHP), Muséum national d'Histoire naturelle (MNHN)-Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Paul-Valéry - Montpellier 3 (UPVM)

Subjects
[SDE]Environmental Sciences
Abstract

Pollen is a valuable proxy for reconstructing current and past vegetation. Automating identification and counting of pollen grains could greatly help palynologists, by increasing sample size, and thus their spatial and temporal resolutions, and standardizing methods and results. Several recent studies have already shown the potential of deep learning for automatic pollen recognition, especially for aeropalynology. Studies on pollen traps and fossil samples remain scarce, most probably because they contain many non-pollen particles and damaged pollen grains, increasing the difficulty of the task. Here, we test a new combination of last-generation deep-learning algorithms for automatic detection and classification of pollen from annual traps containing as many as 70 Mediterranean taxa, and many debris types. A total of 16 traps were collected each of three consecutive years in six locations in France. For each trap, one slide was mounted, and photographed partially with an automatic microscope. This operation produced 1,024 images of 204x204µm per slide, which contained a few pollen grains, that could be damaged, cut, or clumped, and many debris. We first trained YOLOv5 to detect the single category of pollen on 85% of 4,096 images (256 images per slide) containing 12,344 manually detected pollen grains. On the remaining 15% of the annotated images, the model left 0.7% pollen undetected, and falsely detected 12% of debris which are meant to be excluded by the subsequent classification. We then applied the model on the remaining 12,288 images and obtained 42,156 additional pollen grains. For the classification, we have trained so far ResNet50 on 85% of 8,000 manually identified pollen grains among 26 classes, made of a single or a few pollen taxa, and one extra class of debris. On the remaining 15% of the images, we obtained a class-mean accuracy of 0.73 with per-class accuracy ranging from 0.28 to 0.96. The best classification rates were obtained for taxa we had most images for (Pistacia sp., Quercus ilex, Lycopodium sp.). We are now improving the classification, e.g. by testing other algorithms, increasing the training dataset and/or through data augmentation.

Published
2023

5. Patients' perspectives and safety of COVID-19 vaccination among cancer patients: A prospective single-center study.

Author

Daaboul, Nathalie, primary, Boutin, Melina, additional, Sperlich, Catherine, additional, Fuchs, Margit, additional, Haraoui, Louis-Patrick, additional, Speranza, Giovanna, additional, Nguyen, Nghia T Trung, additional, De Angelis, Flavia, additional, Martel, Samuel, additional, Soldera, Sara V., additional, Trudel, Sabrina, additional, Desjardins, Pierre, additional, Srour, Line, additional, Samson, Benoit, additional, Fox, Susan, additional, Devaux, Celine, additional, and Prady, Catherine, additional

Published
2022
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6. Automatic detection and classification of Mediterranean pollen grains: application to the wild and domesticated grapevine

Author

Gimenez, Betty, Peyron, Odile, Devaux, Celine, Joannin, Sébastien, Barboni, Doris, Beaufort, Luc, Bouby, Laurent, Canal, Sandrine, Combourieu-Nebout, Nathalie, de Garidel-Thoron, Thibault, Gally, Yves, Ivorra, Sarah, Jeanty, Angèle, Limier, Bertrand, Pasquet, Jerome, Joannin, Sebastien, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Histoire naturelle de l'Homme préhistorique (HNHP), and Muséum national d'Histoire naturelle (MNHN)-Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE.MCG] Environmental Sciences/Global Changes, [SDE.MCG]Environmental Sciences/Global Changes, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience

Published
2022

9. Transgenerational cues about local mate competition affect offspring sex ratios in the spider mite Tetranychus urticae

Author

Duncan, Alison B., Marinosci, Cassandra, Devaux, Céline, Lefèvre, Sophie, Magalhães, Sara, Griffin, Joanne, Valente, Adeline, Ronce, Ophélie, and Olivieri, Isabelle

Subjects
local mate competition, sex-ratio, sib-mating, haplodiploid, Archaeology, CC1-960, Science
Abstract

In structured populations, competition for mates between closely related males, termed Local Mate Competition (LMC), is expected to select for female-biased offspring sex ratios. However, the cues underlying sex allocation decisions remain poorly studied. Here, we test for several cues in the spider mite Tetranychus urticae, a species that was previously found to adjust the sex ratio of its offspring in response to the number of females within the local population, i.e. a patch. We here investigate whether the offspring sex ratio of T. urticae females changes in response to 1) the current number of females in the same patch, 2) the number of females in the patches of their mothers and 3) their relatedness to their mate. Single females on patches produced similar sex ratios to those of groups of 15 females; their mothers had been in identical conditions of panmixia. The offspring sex ratios of females mated with their brother did not differ from those of females mated with an unrelated male. Females however produced a more female-biased offspring sex ratio if their mothers were alone on a patch compared to 15 other females. Thus, maternal environment is used as a cue for the sex allocation of daughters. We discuss the conditions under which the maternal environment may be a reliable predictor of LMC experienced by grand-sons.

Published
2023
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10. Transgenerational cues about local mate competition affect offspring sex ratios in the spider mite Tetranychus urticae

Author

Duncan, Alison, Marinosci, Cassandra, Devaux, Celine, Lefevre, Sophie, Magalhaes, Sara, Griffin, Joanne, Valente, Adeline, Ronce, Ophélie, Olivieri, Isabelle, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Centre for Ecology - Evolution and Environmental Changes (cE3c), and Universidade de Lisboa (ULISBOA)

Subjects
[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology, ocal mate competition, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], sex-ratio, haplodiploid, sib-mating
Abstract

In structured populations, competition for mates between closely related males, termed Local Mate Competition (LMC), is expected to select for female-biased offspring sex ratios. However, the cues underlying sex allocation decisions remain poorly studied. Here, we test for several cues in the spider mite Tetranychus urticae, a species that was previously found to adjust the sex ratio of its offspring in response to the number of females within the local population, i.e. a patch. We here investigate whether the offspring sex ratio of T. urticae females changes in response to 1) the current number of females in the same patch, 2) the number of females in the patches of their mothers and 3) their relatedness to their mate. Single females on patches produced similar sex ratios to those of groups of 15 females; their mothers had been in identical conditions of panmixia. The offspring sex ratios of females mated with their brother did not differ from those of females mated with an unrelated male. Females however produced a more female-biased offspring sex ratio if their mothers were alone on a patch compared to 15 other females. Thus, maternal environment is used as a cue for the sex allocation of daughters. We discuss the conditions under which the maternal environment may be a reliable predictor of LMC experienced by grand-sons.

Published
2018

11. Réponses et adaptations aux changements globaux : quels enjeux pour la recherche sur la biodiversité ? Prospective de recherche

Author

Ronce, Ophélie, Boyen, Catherine, Caillon, Sophie, Charmantier, Anne, Cheptou, Pierre Olivier, Chuine, Isabelle, Cormier-Salem, Marie-Christine, Cuypers, Laetitia, Davi, Hendrik, Devaux, Celine, Devictor, Vincent, Goldringer, Isabelle, Kulbicki, Michel, Labbé, Pierrick, Landrieu, Gilles, Lavorel, Sandra, Leadley, Paul, Lefèvre, Francois, Maris, Virginie, Massu, Natacha, Métaillié, Jean-Paul, Millot, Muriel, Montchamp-Moreau, Catherine, Morin, Xavier, Mouillot, David, Muller, Sara, Pelegrin, Flora, Roques, Alain, Rovillé-Sausse, Françoise, Salles, Jean-Michel, Silvain, Jean-François, Schurr, Frank, Thompson, John, Weill, Mylène, Centre National de la Recherche Scientifique (CNRS), UMR : Mathématiques et Informatique Appliquées, Paris, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Patrimoines Locaux et Gouvernance (PALOC), Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN), Institut de Recherche pour le Développement (IRD), Fondation pour la Recherche sur la Biodiversité, Ecologie des Forêts Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Paris-Sud - Paris 11 (UP11)-Institut National de la Recherche Agronomique (INRA), Ecologie marine tropicale des océans Pacifique et Indien (ENTROPIE [Perpignan]), Université Montpellier 2 - Sciences et Techniques (UM2), Parcs Nationaux de France, Université Paris-Sud - Paris 11 (UP11), Groupement d’Intérêt Public 'Ecosystèmes Forestiers' (GIP ECOFOR), Ministère de l’écologie, de l’énergie, du développement durable et de la mer, programme Eaux et Territoires, Ministère de l'Ecologie, du Développement Durable et de l'Energie, Université de Strasbourg (UNISTRA), Unité de recherche Zoologie Forestière (URZF), Évolution, génomes, comportement et écologie (EGCE), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD), Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Unité de recherche Zoologie Forestière (UZF), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE)

Subjects
[SDE.MCG]Environmental Sciences/Global Changes, étude prospective, adaptation des espèces, [SDV.BID]Life Sciences [q-bio]/Biodiversity, relation homme biosphère, biodiversité, politique environnementale, environmental policy, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, changement global, changement d'ecosystème, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Milieux et Changements globaux, analyse de risque
Abstract

Réponses et adaptations aux changements globaux : quels enjeux pour la recherche sur la biodiversité ? Prospective de recherche.

Published
2015

12. Ex ante evaluation of gene flow in oilseed rape with cropping sytem models

Author

Colbach, Nathalie, Darmency, Henri, Devaux, Celine, Messean, Antoine, Biologie et Gestion des Adventices (BGA), Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD), FLAveur, VIsion et Comportement du consommateur (FLAVIC), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Unité Impacts Ecologiques des Innovations en Production Végétale (ECO-INNOV), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, cropping sytem models, oilseed rape, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, [SHS] Humanities and Social Sciences, gene flow, ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

International audience

Published
2009

13. Environmental and landscape effects on cross-pollination rates observed at long distance among French oilseed rape Brassica napus commercial fields

Author

Devaux, Celine, Klein, Etienne K., Lavigne, Claire, Sausse, C., Messean, Antoine, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Centre Technique Interprofessionnel des Oléagineux Métropolitains (CETIOM), Biostatistique et Processus Spatiaux (BioSP), Institut National de la Recherche Agronomique (INRA), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), and Unité Impacts Ecologiques des Innovations en Production Végétale (ECO-INNOV)

Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, EMPIRICAL POLLEN DISPERSAL MODELS, HERBICIDE RESISTANT CULTIVAR, UP-SCALING, LANDSCAPE SCALE, COLZA, CROSS-POLLINATION RATE, POLLEN DISPERSAL MODEL, EXTRAPOLATIONS
Abstract

International audience; 1. Evaluation of our ability to predict cross-pollination rates (CPR) at long distance using dispersal functions estimated in experimental set-ups differing by either their scale or their environmental conditions is crucial to establish appropriate management rules following the release of genetically modified (GM) crops. 2. From 1998 to 2004 we measured oilseed rape CPR in commercial fields for 44 donor-recipient couples separated by 220 up to 2000 m, from up to three different pollen donor cultivars in two French oilseed rape production areas. We followed the same sampling and screening designs and tested the effect of region, year, size, cultivar and distance on the observed CPR. 3. We then compared observed CPR to predictions from six empirical pollen dispersal models based on dispersal kernels that were fitted previously at the local and landscape scales. These predictions allowed us to test the possibility to extrapolate and up-scale dispersal kernels. 4. The observed CPR varied from 0% to 0·092%. They were higher in Champagne-Ardennes, where they depended negatively on distance, than in Bourgogne where they did not depend on distance. CPR also differed among years, being nil for the last 3 successive years, partly because of different environmental conditions and detection issues. CPR depended further on the source cultivars due to differences in pollen production. Dispersal kernels fitted at the local scale lead to systematic and huge underestimation of CPR, when observed. The power-law kernel fitted at the landscape scale under-estimated CPR by two orders of magnitude above 400 m but followed the rate of decrease of the observed pollination with distance. 5. Synthesis and applications . Caution should be taken when extrapolating and up-scaling dispersal kernels and models because predictions may differ greatly from observations. Models should rely at least upon dispersal kernels estimated from landscape-scale data obtained in different regions. Models should also integrate several phenomena at the agro-ecosystem scale including the dispersal by insects and become more mechanistic to account for variations observed among years, environments and distance to borders.

Published
2008

14. Using microsatellite markers to estimate pollen dispersal patterns of oilseed rape at the landscape level

Author

Devaux, Celine, Lavigne, Claire, Austerlitz, Frédéric, Klein, Etienne K., Université Paris-Sud - Paris 11 (UP11), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), and Biostatistique et Processus Spatiaux (BioSP)

Subjects
OILSEED RAPE, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [INFO]Computer Science [cs], [MATH]Mathematics [math], COLZA, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2005

15. High diversity of oilseed rape pollen clouds sampled in a landscape. Indication of long-distance pollination. Poster

Author

Devaux, Celine, Lavigne, Claire, Falentin-Guyomar'ch, H., Vautrin, Sonia, Lecomte, J., Klein, Etienne K., Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Groupe d'Etude et de Contrôle des Variétés et des Semences (GEVES), Biostatistique et Processus Spatiaux (BioSP), and Institut National de la Recherche Agronomique (INRA)

Subjects
[INFO]Computer Science [cs], [MATH]Mathematics [math], COLZA, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2005

16. Dispersion à longue distance des propagules (pollens, graines, spores): approches empiriques et statistiques

Author

Klein, Etienne K., Chadoeuf, Joel, Soubeyrand, Samuel, Devaux, Celine, Lavigne, Claire, Austerlitz, Frédéric, Oddou, Sylvie, Lefèvre, Francois, Pichot, Christian, Biostatistique et Processus Spatiaux (BioSP), Institut National de la Recherche Agronomique (INRA), Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), and Unité de Recherches Forestières Méditerranéennes (URFM)

Subjects
arbre forestier, erica, analyse statistique, maïs, plante céréaliere, REPARTITION SPATIALE, [SDV]Life Sciences [q-bio], cèdre, flux de gènes, BRUYERE, SORBUS, résineux, COLZA, brassica napus var oleifera, zea mays, cedrus, [INFO]Computer Science [cs], [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS, analyse spatiale, dispersion des graines
Abstract

National audience

Published
2005

17. Potentials and limits of modelling to predict the impact of transgenic crops in wild species

Author

Lavigne, Claire, Devaux, Celine, Deville, Alexandra, Garnier, Aurélie, Klein, Etienne K., Lecomte, Jane, Pivard, Sandrine, Gouyon, Pierre-Henri, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Biostatistique et Processus Spatiaux (BioSP), Institut National de la Recherche Agronomique (INRA), H.C.M. den Nijs, D. Bartsch, and J. Sweet

Subjects
WILD SPECIES, GENE FLOW, [INFO]Computer Science [cs], TRANSGENIC CROP, [MATH]Mathematics [math], POLLEN DISPERSAL, MODELISATION, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2004

18. Modélisation de la dispersion à longue distance

Author

Klein, Etienne K., Lavigne, Claire, Devaux, Celine, Gouyon, P.H., Biostatistique et Processus Spatiaux (BioSP), Institut National de la Recherche Agronomique (INRA), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), and Muséum national d'Histoire naturelle (MNHN)

Subjects
[SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, [INFO]Computer Science [cs], [MATH]Mathematics [math], COLZA, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2003

19. A first step for modelling pollen dispersal at the landscape level: determining the shape of dispersal functions at long-distance. The case of oilseed rape

Author

Devaux, Celine, Klein, Etienne K., Lavigne, Claire, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Biostatistique et Processus Spatiaux (BioSP), and Institut National de la Recherche Agronomique (INRA)

Subjects
dispersion du pollen, pollution génétique, dissémination, [SDV]Life Sciences [q-bio], flux de gènes, MODELLING, ogm, plante oléagineuse, POLLEN DISPERSAL, GENE FLOW, TRANSGEN POLLUTION, COLZA, marqueur moléculaire, ComputingMilieux_MISCELLANEOUS, modélisation
Abstract

International audience

Published
2003

20. Quel type de fonction pour modéliser la dispersion du pollen dans un bassin de production? Approche expérimentale sur le colza (Communication orale)

Author

Devaux, Celine, Lavigne, Claire, Klein, Etienne K., Lecomte, Jane, Séguin-Swartz, Ginette, ProdInra, Migration, Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Unité de Recherches Forestières Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), and Agriculture and Agri-Food [Ottawa] (AAFC)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], COLZA, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2003

21. Efficient CD4 binding and immunosuppressive properties of the 13B8.2 monoclonal antibody are displayed by its CDR-H1-derived peptide CB1

Author

Bes, C., Briant-Longuet, L., Cerutti, M., DeBerardinis, P., Devauchelle, Gerard, Devaux, Celine, Granier, C., Chardes, T., Biologie Intégrative et Virologie des Insectes [Univ. de Montpellier II] (BIVI), and Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)

Subjects
[SDV.BC]Life Sciences [q-bio]/Cellular Biology
Abstract

73 ref.

Published
2001

23. Spot calibration on the test site La Crau (France)

Author

Santer, R., Deuzé, J.L., Devaux, Celine, Vermote, E., Guyot, G., Gu, X.F., Verbrugghe, Morgane, Leroy, M., Unité de bioclimatologie, Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
1991

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