A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

Grain production must increase by 60% in the next four decades to keep up with the expected population growth and food demand. A significant part of this increase must come from the improvement of staple crop grain yield potential. Crop growth simulation models combined with field experiments and cr...

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Detalles Bibliográficos
Autores: Guarin, J.R., Martre, P., Ewert, F., Webber, H., Dueri, S., Calderini, D., Reynolds, M.P., Molero, G., Miralles, D., Garcia, G., Slafer, G., Giunta, F., Pequeno, D.N.L., Stella, T., Mukhtar Ahmed, Alderman, P.D., Basso, B., Berger, A.G., Bindi, M., Bracho-Mujica, G., Cammarano, D., Yi Chen, Dumont, B., Rezaei, E.E., Fereres, E., Ferrise, R., Gaiser, T., Yujing Gao, Garcia-Vila, M., Gayler, S., Hochman, Z., Hoogenboom, G., Hunt, L.A., Kersebaum, K.C., Nendel, C., Olesen, J.E., Palosuo, T., Priesack, E., Pullens, J.W.M., Rodríguez, A., Rötter, R.P., Ruiz Ramos, M., Semenov, M.A., Senapati, N., Siebert, S., Srivastava, A.K., Stockle, C., Supit, I., Fulu Tao, Thorburn, P.J., Wang, E., Weber, T.K.D., Liujun Xiao, Zhao Zhang, Chuang Zhao, Jin Zhao, Zhigan Zhao, Yan Zhu, Asseng, S.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/23083
Acceso en línea:https://hdl.handle.net/10883/23083
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Field Experimental Data
Crop Model Ensemble
WHEAT
YIELD POTENTIAL
FIELD EXPERIMENTATION
DATA
CROP MODELLING
SIMULATION
Wheat
Descripción
Sumario:Grain production must increase by 60% in the next four decades to keep up with the expected population growth and food demand. A significant part of this increase must come from the improvement of staple crop grain yield potential. Crop growth simulation models combined with field experiments and crop physiology are powerful tools to quantify the impact of traits and trait combinations on grain yield potential which helps to guide breeding towards the most effective traits and trait combinations for future wheat crosses. The dataset reported here was created to analyze the value of physiological traits identified by the International Wheat Yield Partnership (IWYP) to improve wheat potential in high-yielding environments. This dataset consists of 11 growing seasons at three high-yielding locations in Buenos Aires (Argentina), Ciudad Obregon (Mexico), and Valdivia (Chile) with the spring wheat cultivar Bacanora and a high-yielding genotype selected from a doubled haploid (DH) population developed from the cross between the Bacanora and Weebil cultivars from the International Maize and Wheat Improvement Center (CIMMYT). This dataset was used in the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Phase 4 to evaluate crop model performance when simulating high-yielding physiological traits and to determine the potential production of wheat using an ensemble of 29 wheat crop models. The field trials were managed for non-stress conditions with full irrigation, fertilizer application, and without biotic stress. Data include local daily weather, soil characteristics and initial soil conditions, cultivar information, and crop measurements (anthesis and maturity dates, total above-ground biomass, final grain yield, yield components, and photosynthetically active radiation interception). Simulations include both daily in-season and end-of-season results for 25 crop variables simulated by 29 wheat crop models.

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