Evaluating differences among crop models in simulating soybean in-season growth

Autor: Kothari, Kritika, Battisti, Rafael, Boote, Kenneth J., Archontoulis, Sotirios V., Confalone, Adriana, Constantin, Julie, Cuadra, Santiago V., Debaeke, Philippe, Faye, Babacar, Grant, Brian, Hoogenboom, Gerrit, Jing, Qi, van der Laan, Michael, da Silva, Fernando Antônio Macena, Marin, Fabio R., Nehbandani, Alireza, Nendel, Claas, Purcell, Larry C., Qian, Budong, Ruane, Alex C., Schoving, Céline, Silva, Evandro H.F.M., Smith, Ward, Soltani, Afshin, Srivastava, Amit, Vieira, Nilson A., Jr., Salmerón, Montserrat

Publikováno v: In Field Crops Research 1 April 2024 309

Can healthy diets be achieved worldwide in 2050 without farmland expansion?

Autor: Forslund, Agneta, Tibi, Anaïs, Schmitt, Bertrand, Marajo-Petitzon, Elodie, Debaeke, Philippe, Durand, Jean-Louis, Faverdin, Philippe, Guyomard, Hervé

Publikováno v: In Global Food Security December 2023 39

A model-based approach to assist variety evaluation in sunflower crop

Autor: Casadebaig, Pierre, Mestries, Emmanuelle, Debaeke, Philippe

Publikováno v: Casadebaig, P.; Mestries, E. & Debaeke, P. (2016), 'A model-based approach to assist variety assessment in sunflower crop', European Journal of Agronomy 81, 92--105

Assessing the performance and the characteristics (e.g. yield, quality, disease resistance, abiotic stress tolerance) of new varieties is a key component of crop performance improvement. However, the variety testing process is presently exclusively b

Externí odkaz: http://arxiv.org/abs/1701.00987

A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France

Autor: Corrales, David Camilo, Schoving, Céline, Raynal, Hélène, Debaeke, Philippe, Journet, Etienne-Pascal, Constantin, Julie

Publikováno v: In Computers and Electronics in Agriculture January 2022 192

Increased genetic diversity improves crop yield stability under climate variability: a computational study on sunflower

Autor: Casadebaig, Pierre, Trépos, Ronan, Picheny, Victor, Langlade, Nicolas B., Vincourt, Patrick, Debaeke, Philippe

A crop can be represented as a biotechnical system in which components are either chosen (cultivar, management) or given (soil, climate) and whose combination generates highly variable stress patterns and yield responses. Here, we used modeling and s

Externí odkaz: http://arxiv.org/abs/1403.2825