South America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean
South America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean
Methodology: To carry out the calculation of these agroclimatic indicators, daily data of the following climatic variables were used at a resolution of 5 km: Maximum and minimum temperatures (source: CHIRTS). The indicators were calculated for each month during a period of 33 years (1983 - 2016). With the above, the indicators were calculated per month during 1983 -2016 and finally, in order to summarize the calculated indicators, an aggregation of data was carried out, calculating the average in the following time periods: 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 – 2016, 2005 – 2016, 2010 – 2016.
The purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating when crops are exposed to heat stress.
- CGIAR France
- CGIAR France
- CGIAR Consortium France
- CGIAR Consortium France
abiotic stress, solar radiation, evapotranspiration, drought, precipitation, maize, cassava, agroclimatic indicators, cowpeas, soil, maximum temperature, flooding, wheat, sweet potatoes, spatial data, beans, potatoes, soybean, Agricultural Sciences, rice, barley, temperature, raster, South America, Latin America and the Caribbean, waterlogging, Climate Action, climate change, bananas, climatic data, Earth and Environmental Sciences, sorghum, heat, pearl millet, yams, minimum temperature
abiotic stress, solar radiation, evapotranspiration, drought, precipitation, maize, cassava, agroclimatic indicators, cowpeas, soil, maximum temperature, flooding, wheat, sweet potatoes, spatial data, beans, potatoes, soybean, Agricultural Sciences, rice, barley, temperature, raster, South America, Latin America and the Caribbean, waterlogging, Climate Action, climate change, bananas, climatic data, Earth and Environmental Sciences, sorghum, heat, pearl millet, yams, minimum temperature
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!