[smartslider3 slider=7] Research stream: Farmer participatory research is the budding research stream within the GEMS team that fosters collaboration with the socio-economists and so aligns with ICRISAT’s vision to deliver research for impact. Following the work path of understanding the production environments (E) and finding the suitable agronomic (M) and genetic (G) interventions to … Continue reading Farm Participatory
Crop Modelers Dr Peter Carberry Peter Carberry is an Australian national. He received his PhD in Agriculture from the University of Sydney. Before joining ICRISAT, Peter was Chief Research Scientist and Partnership Leader (CSIRO-DFAT Africa Food Security Initiative), Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia. His expertise is in crop physiology and in the … Continue reading ICRISAT Modelling
Feedback Thank you for visiting the crop physiology lab @ ICRISAT for your recent meeting / training. We hope it was a positive experience for everyone involved! Whether it is something we are doing well or something that you feel we could improve upon, we would appreciate receiving your feedback. For your convenience, we have … Continue reading Feedback
Why is it important? Lysimetric approach- the innovation How it works Importance to crop improvement Uniqueness of the facility and relevance to other locations Re-constructing the drought puzzle The two different angles this research led to Further Why is it important? Phenotyping, or measuring key traits of crops such as drought-tolerance, is crucial … Continue reading Lysimetric Facility
We are here to offer you solutions & services, and we can work on mutual development of new ideas. Contact us, use the services, share the equipment, and get benefited. In particular, students / scholars can come here and utilise our services towards development and betterment of science. Paid Services We … Continue reading Services
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[smartslider3 slider=3] Simulation Modelling Once the reasonable depth of understanding the physiological traits is attained, ultimately, the tool for value/risk assessment of such new technology within target agro-eco-systems is necessary. Reproducing the physiological traits in silico using modelling tools enables probabilistic foresight on mechanistic of physiological traits within the framework of target agricultural production systems and … Continue reading Simulation Modelling
For us gems means GEMS, or G*E*M*S (genotype by environment by management by society) interactions, i.e. the fact that crop yields results from complex biophysical interactions while acceptance depends on farmer/consumer preferences. This complexity becomes an opportunity when it is cracked into components that can be analysed, understood, predicted, and then used to prioritise research investments to maximise return. This is what we do, and this is when GEMS become gems!
For us gems means GEMS, or G*E*M*S (genotype by environment by management by society) interactions, i.e. the fact that crop yields results from complex biophysical interactions while acceptance depends on farmer/consumer preferences. This complexity becomes an opportunity when it is cracked into components that can be analyzed, understood, predicted, and then used to prioritize research investments to maximise return. This is what we do, and this is when GEMS become gems!
A crop performs in different ways in different sites, years and agronomic managements. These are called genotype-by-environment-by management(G*E*M) interactions, and they are a main challenge for breeders and agronomists. There is one more layer of interaction, even more complex: the society (S). Farmers and consumers have different desires, needs, expectations, and a cultivar that fits one may not fit the other (G*E*M*S interactions). The puzzle is complex and challenging but if its components are understood, specific interventions can be undertaken.For instance, breeding for a particular genotype (G, with particular physiological characteristics), for a particular environment (E, with a particular kind of drought pattern that requires a specific adaptive trait), in a particular management practice (M, for instance a sowing density, or a N fertilizer treatment), and targeted to particular farmer/consumer (S, for instance a genotype that produces a lot of rich stover for cattle ranchers) is the need of the hour.