Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jean‐Charles Deswarte"'
Autor:
Renan Le Roux, Carina Furusho-Percot, Jean-Charles Deswarte, Marie-Odile Bancal, Karine Chenu, Nathalie de Noblet-Ducoudré, Iñaki García de Cortázar-Atauri, Alexis Durand, Burak Bulut, Olivier Maury, Jérémie Décome, Marie Launay
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Climate change threatens food security by affecting the productivity of major cereal crops. To date, agroclimatic risk projections through indicators have focused on expected hazards exposure during the crop’s current vulnerable seasons, w
Externí odkaz:
https://doaj.org/article/687a79f68ee6498daa481974b3e1db51
Autor:
Rogério de S. Nóia Júnior, Jean‐Charles Deswarte, Jean‐Pierre Cohan, Pierre Martre, Marijn van der Velde, Remi Lecerf, Heidi Webber, Frank Ewert, Alex C. Ruane, Gustavo A. Slafer, Senthold Asseng
Publikováno v:
Global Change Biology. 29:3130-3146
Autor:
Pierre Martre, Sibylle Dueri, Jose Guarin, F Ewert, Heidi Webber, Daniel Calderini, Gemma Molero, Matthew Reynolds, Daniel Miralles, Guillermo Garcia, Hamish Brown, Mike George, Rob Craigie, Jean-Pierre Cohan, Jean-Charles Deswarte, Gustavo Slafer, F Giunta, Davide Cammarano, Roberto Ferrise, Thomas GAISER, Yujing Gao, Zvi Hochman, Gerrit Hoogenboom, Leslie A Hunt, Kurt Kersebaum, Claas Nendel, Gloria Padovan, Alex Ruane, Tommaso Stella, Iwan Supit, Amit Srivast, Peter Thorburn, Enli Wang, Joost Wolf, Chuang Zhao, Zhigan Zhao, Senthold Asseng
Increasing global food demand will require more food production without further exceeding the planetary boundaries, while at the same time adapting to climate change. We used an ensemble of wheat simulation models, with sink-source improved traits fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ba7a5f02fc63c73024a7350f5218382
https://doi.org/10.21203/rs.3.rs-2667076/v1
https://doi.org/10.21203/rs.3.rs-2667076/v1
Autor:
Jean‐Baptiste Domergue, Cyril Abadie, Julie Lalande, Jean‐Charles Deswarte, Eric Ober, Valérie Laurent, Céline Zimmerli, Philippe Lerebour, Laure Duchalais, Camille Bédard, Jérémy Derory, Thierry Moittie, Marlène Lamothe‐Sibold, Katia Beauchêne, Anis M. Limami, Guillaume Tcherkez
Publikováno v:
Plant, Cell and Environment
Plant, Cell and Environment, 2022, pce.14339. ⟨10.1111/pce.14339⟩
Plant, Cell and Environment, 2022, pce.14339. ⟨10.1111/pce.14339⟩
International audience; The natural C-13 abundance (delta C-13) in plant leaves has been used for decades with great success in agronomy to monitor water-use efficiency and select modern cultivars adapted to dry conditions. However, in wheat, it is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc05df0a7289108a8e29e29b43fcc89
https://hal.inrae.fr/hal-03687116/file/2022_Domergue_Plant.Cell.Env.pdf
https://hal.inrae.fr/hal-03687116/file/2022_Domergue_Plant.Cell.Env.pdf
Publikováno v:
Journal of Experimental Botany
Journal of Experimental Botany, Oxford University Press (OUP), 2021, 72 (18), pp.6596-6610. ⟨10.1093/jxb/erab282⟩
Journal of Experimental Botany, 2021, 72 (18), pp.6596-6610. ⟨10.1093/jxb/erab282⟩
Journal of Experimental Botany, Oxford University Press (OUP), 2021, 72 (18), pp.6596-6610. ⟨10.1093/jxb/erab282⟩
Journal of Experimental Botany, 2021, 72 (18), pp.6596-6610. ⟨10.1093/jxb/erab282⟩
Wheat grain yield is anticipated to suffer from the increased temperatures expected under climate change. In particular, the effects of post-anthesis temperatures on grain growth and development must be better understood in order to improve crop mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f3ea1e3cc480883cb1a5b9aafebe4a
https://hal.inrae.fr/hal-03293623
https://hal.inrae.fr/hal-03293623
Autor:
Jean-Charles Deswarte, Stéphane Lafarge, Katia Beauchene, Renaud Rincent, Jacques Le Gouis, Gaëtan Touzy, Pierre Dubreuil, Agathe Mini, Sébastien Praud, Matthieu Bogard
Publikováno v:
TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, Springer Verlag, 2019, 132 (10), pp.2859-2880. ⟨10.1007/s00122-019-03393-2⟩
TAG Theoretical and Applied Genetics, 2019, 132 (10), pp.2859-2880. ⟨10.1007/s00122-019-03393-2⟩
TAG Theoretical and Applied Genetics, Springer Verlag, 2019, 132 (10), pp.2859-2880. ⟨10.1007/s00122-019-03393-2⟩
TAG Theoretical and Applied Genetics, 2019, 132 (10), pp.2859-2880. ⟨10.1007/s00122-019-03393-2⟩
Environmental clustering helps to identify QTLs associated with grain yield in different water stress scenarios. These QTLs could be useful for breeders to improve grain yields and increase genetic resilience in marginal environments. Drought is one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0177ad3e75ed3bbe3b08d5818859bf07
https://hal.inrae.fr/hal-02620684
https://hal.inrae.fr/hal-02620684
Autor:
Stéphanie Thépot, Jean-Charles Deswarte, David Gouache, Mathieu Bogard, Xavier Le Bris, Marie Pégard
Publikováno v:
Procedia Environmental Sciences. 29:34-35
Introduction Simulations using crop models can assist in designing ideotypes for current and future agricultural conditions. This approach has been often in recent years to identify avenues for adapting wheat to climate change. However, this approach
Autor:
Guillaume Arjaure, Guillaume Meloux, Benoit de Solan, Julien Landrieaux, Yann Flodrops, Stéphane Jezequel, David Gouache, Katia Beauchene, Jean-Charles Deswarte, Scott Thomas, Alain Bouthier
Publikováno v:
Procedia Environmental Sciences. 29:93-94
Introduction Drought is projected to be an increasing problem for wheat in France. We provide some key figures on current and projected drought stress in France. Evaluating drought tolerance is a complex task. Climate variability can lead to very dif
Autor:
Inchboard, Lauren
Publikováno v:
Sciences du Vivant [q-bio]. 2018
Crop models serve to predict via simulation the effects of climate change on the development and yield of field crops such as wheat, the main cereal for human and animal consumption in Europe. However, today's crop models fail to grasp the effect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::cf19023825a59c3af87c4b12794f3dd2
https://dumas.ccsd.cnrs.fr/dumas-01961904/file/2018_Inchboard_Lauren_DataScience.pdf
https://dumas.ccsd.cnrs.fr/dumas-01961904/file/2018_Inchboard_Lauren_DataScience.pdf