Innovation – Open view page

General information

Innovation ID338
Version ID255
Innovation TitleCrop modelling tools for identifying the G×E×M options for enhancing resilience and productivity of sorghum in India
Innovation description In this innovation “Crop modelling tools for identifying the G×E×M options for enhancing resilience and productivity of rabi sorghum in India” we put in place the APSIM modelling framework enabling the target stakeholders (primarily the sorghum improvement teams) to understand the spatial variability of post rainy sorghum production systems in India and the optimal GxM leading to production stabilization/enhancement in given E. The baseline framework and will be further developed with stakeholder feedback.
Reporting Staff Jules Bayala (ICRAF)
Year (Reporting)2019
Reporting statusApproved
Innovation TypeProduction systems and Management practices

Stage reached

Stage of InnovationStage 3: available/ ready for uptake
Year (Stage)2019
Stage DescriptionResults that are ready for uptake showed that breeding success remained highly probabilistic; maximum resilience and economic benefits depended on drought frequency. Maximum potential could be explored by specific combinations of traits. A number of articles are under review for publications, and presentations in conferences as updates will come.
Has a lead organizationyes
Lead OrganizationWorld Agroforestry Center
Top 5 contributorsNo contributors

Contributions and mapping

All partners
Main CRP CGIAR Research Program on Grain Legumes and Dryland Cereals
Flagship project FP3-Integrated Farm and Household Management
Cluster FP3-1-Innovations for managing abiotic and biotic stresses
Other CRPs-Flagships-Clusters

Scope

Geographic scopeGlobal
Regions
Countries

Targeted outcomes

Main Sub-IDO Increased capacity for innovation in partner development organizations and in poor and vulnerable communities
Other Sub-IDO Increased household coping capacity to cope with shocks
Other Sub-IDO

Evidences

EvidencesJarolímek, J., Pavlík, J., Kholova, J. and Ronanki, S. (2019) “Data Pre-processing for Agricultural Simulations", AGRIS on-line Papers in Economics and Informatics, Vol. 11, No. 1, pp. 49-53. ISSN 1804-1930
[DOI 10.7160/aol.2]

Kholova, J and Tharanya, M and Sivasakthi, K and Malayee, S and Baddam, R and Hammer, G L and McLean, G and Deshpande, S P and Hash, C T and Craufurd, P Q and Vadez, V (2014) Modelling the effect of plant water use traits on yield and stay-green expression in sorghum. Functional Plant Biology, 41 (11). pp. 1019-1034. ISSN 1445-4408
[http://oar.icrisat.org/9035/1/FP13355.pdf]

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum
[https://www.publish.csiro.au/fp/FP13355]

Maps of India
[https://ls40.pef.czu.cz/maps/]

Linked Elements

Milestones7228-171-37873 - Suite of systems modelling tools/framework for co-designing resilient farming systems in GLDC regions
Outcome Impact Case
Policy