Reynolds M., Kropff M., Crossa J., Koo J., Kruseman G., Milan A. M., Rutkoski J., Schulthess U., Balwinder Singh, Sonder K., Tonnang H., Vadez Vincent. (2018). Role of modelling in international crop research : overview and some case studies. Agronomy, 8 (12), p. art. 291 [46p.]. ISSN 2073-4395.
Titre du document
Role of modelling in international crop research : overview and some case studies
Année de publication
2018
Auteurs
Reynolds M., Kropff M., Crossa J., Koo J., Kruseman G., Milan A. M., Rutkoski J., Schulthess U., Balwinder Singh, Sonder K., Tonnang H., Vadez Vincent
Source
Agronomy, 2018,
8 (12), p. art. 291 [46p.] ISSN 2073-4395
Crop modelling has the potential to contribute to global food and nutrition security. This paper briefly examines the history of crop modelling by international crop research centres of the CGIAR (formerly Consultative Group on International Agricultural Research but now known simply as CGIAR), whose primary focus is on less developed countries. Basic principles of crop modelling building up to a Genotype x Environment x Management x Socioeconomic (G x E x M x S) paradigm, are explained. Modelling has contributed to better understanding of crop performance and yield gaps, better prediction of pest and insect outbreaks, and improving the efficiency of crop management including irrigation systems and optimization of planting dates. New developments include, for example, use of remote sensed data and mobile phone technology linked to crop management decision support models, data sharing in the new era of big data, and the use of genomic selection and crop simulation models linked to environmental data to help make crop breeding decisions. Socio-economic applications include foresight analysis of agricultural systems under global change scenarios, and the consequences of potential food system shocks are also described. These approaches are discussed in this paper which also calls for closer collaboration among disciplines in order to better serve the crop research and development communities by providing model based recommendations ranging from policy development at the level of governmental agencies to direct crop management support for resource poor farmers.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Sciences du monde végétal [076]
;
Economie et sociologie rurale [098]
;
Télédétection [126]
Description Géographique
AFRIQUE SUBSAHARIENNE ; INDE ; BANGLADESH ; MONDE ; ANDES ; ZONE TROPICALE
Localisation
Fonds IRD [F B010074868]
Identifiant IRD
fdi:010074868
