Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations

Autor: Yi Chen, Davide Cammarano, Thomas Gaiser, Jukka Höhn, Kurt Christian Kersebaum, Mikhail A. Semenov, Miroslav Trnka, Altaaf Mechiche-Alami, Benjamin Dumont, Roberto Ferrise, Fulu Tao, Timothy R. Carter, Alfredo Rodríguez, Stefan Fronzek, C. Nendel, Julien Minet, Holger Hoffmann, F. Ewert, John R. Porter, Jaromir Krzyszczak, Pierre Stratonovitch, Marco Bindi, Zacharias Steinmetz, Samuel Buis, A.J.W. de Wit, Iwan Supit, Reimund P. Rötter, Ignacio J. Lorite, František Jurečka, Marcos Lana, Manuel Montesino, Piotr Baranowski, Taru Palosuo, Margarita Ruiz-Ramos, Nina Pirttioja, P. Hlavinka, Françoise Ruget

Publikováno v: Agricultural and Forest Meteorology
Agricultural and Forest Meteorology, Elsevier Masson, 2019, 264, pp.351-362. ⟨10.1016/j.agrformet.2018.09.018⟩
Agricultural and Forest Meteorology, 2019, 264, pp.351-362. ⟨10.1016/j.agrformet.2018.09.018⟩
Agricultural and Forest Meteorology, 264, 351-362
Rodríguez, A, Ruiz-Ramos, M, Palosuo, T, Carter, T R, Fronzek, S, Lorite, I J, Ferrise, R, Pirttioja, N, Bindi, M, Baranowski, P, Buis, S, Cammarano, D, Chen, Y, Dumont, B, Ewert, F, Gaiser, T, Hlavinka, P, Hoffmann, H, Höhn, J G, Jurecka, F, Kersebaum, K C, Krzyszczak, J, Lana, M, Mechiche-Alami, A, Minet, J, Montesino, M, Nendel, C, Porter, J R, Ruget, F, Semenov, M A, Steinmetz, Z, Stratonovitch, P, Supit, I, Tao, F, Trnka, M, de Wit, A & Rötter, R P 2019, ' Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations ', Agricultural and Forest Meteorology, vol. 264, pp. 351-362 . https://doi.org/10.1016/j.agrformet.2018.09.018
Agricultural and Forest Meteorology 264 (2019)

International audience; Abstract Climate change is expected to severely affect cropping systems and food production in many parts of the world unless local adaptation can ameliorate these impacts. Ensembles of crop simulation models can be useful too

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83087f03afb2c8d35cba8c41420dbee0
https://doi.org/10.1016/j.agrformet.2018.09.018

Effect of the germination threshold temperature on the geographical distribution of the variety R583 in Reunion Island

Autor: Poser, Christophe, Barau, Laurent, Mézino, Mickael, Goebel F.R.,, Françoise, Ruget

Publikováno v: International Sugar Journal
International Sugar Journal, 2020, 122 (1461), pp.640-647

International audience; In Reunion Island, new sugarcane commercial varieties selected for constrained environments, particularly with regard to low temperatures, have demonstrated their better adaptability by producing more biomass in the high-lying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f64d1c11f734be3f0d705c31fbc6e70
http://agritrop.cirad.fr/597544/

Simulation using the STICS model of C&N dynamics in alfalfa from sowing to crop destruction

Autor: Nicolas Beaudoin, Gaëtan Louarn, Lucia Rakotovololona, Françoise Ruget, Dominique Ripoche, Pascal Thiebeau, Bruno Mary, Loïc Strullu, Bernadette Julier

Publikováno v: European Journal of Agronomy
European Journal of Agronomy, 2020, 112, pp.1-14. ⟨10.1016/j.eja.2019.125948⟩
European Journal of Agronomy, Elsevier, 2020, 112, pp.1-14. ⟨10.1016/j.eja.2019.125948⟩

International audience; We adapted the STICS agro-environmental model to simulate the effects of cultivation practices on the biomass production and nitrogen accumulation of perennial crops undergoing regular defoliation, using alfalfa as an example.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd5471c5a74ba8607c508e18f06a9d13
https://hal.inrae.fr/hal-02622466

Comparison of two modeling approaches to simulate rice production in the Camargue region using Sentinel 2 data

Autor: Fabrice Flamain, Emile Ndikumana, Valérie Demarez, D. Ho Tong Minh, Dominique Courault, Françoise Ruget, Laure Hossard, Nicolas Baghdadi

Publikováno v: IEEE International Symposium on Geoscience and Remote Sensing IGARSS
39. IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
39. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8899124⟩
IGARSS

International audience; The assessment of yield variability at the territory scale is often difficult due to the lack of knowledge on various factors involved, e.g., the agricultural practices of farmers and phenological calendars. Remote sensing can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::519f8d8270d6c7c8f0b0db4046b2cde9
https://hal.inrae.fr/hal-02788947

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

Autor: Miroslav Trnka, Paola A. Deligios, Alfredo Rodríguez, Pierre Stratonovitch, Françoise Ruget, Ingrid Jacquemin, Marco Moriondo, Louis François, Katharina Waha, Alessia Perego, Mikhail A. Semenov, Fulu Tao, Benjamin Dumont, Christoph Müller, Frank Ewert, Petr Hlavinka, Per Bodin, Margarita Ruiz-Ramos, Marie-France Destain, Lianhai Wu, Marco Acutis, Cezary Sławiński, Senthold Asseng, Nina Pirttioja, Piotr Baranowski, Marco Bindi, Manuel Montesino, Davide Cammarano, Taru Palosuo, M. Ines Minguez, Claas Nendel, Timothy R. Carter, Iwan Supit, Bruno Basso, Kurt Christian Kersebaum, Zhigan Zhao, Samuel Buis, Alex C. Ruane, Thomas Gaiser, Chris Kollas, Jaromir Krzyszczak, Roberto Ferrise, Ignacio J. Lorite, Julien Minet, Holger Hoffmann, Reimund P. Rötter, Enli Wang, Isik Öztürk, Stefan Fronzek, Mattia Sanna

Publikováno v: Agricultural Systems, 159, 209-224
Agricultural Systems
Agricultural Systems, 2017, 159, ⟨10.1016/j.agsy.2017.08.004⟩
Agricultural Systems, Elsevier Masson, 2017, ⟨10.1016/j.agsy.2017.08.004⟩
Agricultural Systems 159 (2018)
Agricultural Systems, ISSN 0308-521X, 2018-01, Vol. 159
Fronzek, S, Pirttioja, N, Carter, T R, Bindi, M, Hoffmann, H, Palosuo, T, Ruiz-Ramos, M, Tao, F, Trnka, M, Acutis, M, Asseng, S, Baranowski, P, Basso, B, Bodin, P, Buis, S, Cammarano, D, Deligios, P, Destain, M F, Dumont, B, Ewert, F, Ferrise, R, François, L, Gaiser, T, Hlavinka, P, Jacquemin, I, Kersebaum, K C, Kollas, C, Krzyszczak, J, Lorite, I J, Minet, J, Minguez, M I, Montesino, M, Moriondo, M, Müller, C, Nendel, C, Öztürk, I, Perego, A, Rodríguez, A, Ruane, A C, Ruget, F, Sanna, M, Semenov, M A, Slawinski, C, Stratonovitch, P, Supit, I, Waha, K, Wang, E, Wu, L, Zhao, Z & Rötter, R P 2018, ' Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change ', Agricultural Systems, vol. 159, pp. 209-224 . https://doi.org/10.1016/j.agsy.2017.08.004
Archivo Digital UPM
Universidad Politécnica de Madrid
Agricultural Systems, Elsevier Masson, 2017, 159, ⟨10.1016/j.agsy.2017.08.004⟩

Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::011d5b0a35886b8dfe158885867b76b8
https://research.wur.nl/en/publications/classifying-multi-model-wheat-yield-impact-response-surfaces-show