The video shows the probability of temperature exceeding 31-45 ºC during flowering of rabi sorghum crop in India (i.e. heat stress), 50 years of meteorological information (maxT, minT, rainfall, solar radiation), each pixel was generated using Marksim software (the standard version (http://www.ccafs-climate.org/pattern_scaling/), using latitude, longitude and elevation as inputs.
File format :
Info about variables :
Maximum Tº C (50 generated years)
Project Name :
Feed the Future Innovation Lab on Climate Resilient Sorghum
Project Description :
Part of the project deals with developing sorghum cultivar with improved resilience to future climatic conditions, in particular conditions with water limitation and high evaporative demand. The map represents the probability of encountering temperatures above a set threshold for seed set sensitivity of different crops in the target region (Mali for sorghum, India for sorghum, pearl millet, groundnut and chickpea) and during a period of the year when the concerned crop is expected to flower. The underlying assumption is that high temperature could have an effect on the reproductive biology. The maps are there to represent the probability of having temperature event that could negatively affect this stage.
Probability of Temperature Exceeding 31-45 ºC during Flowering of Rabi Sorghum Crop in India (i.e. Heat Stress)
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.