10.7910/DVN/QSTFLUMora, BrayanBrayanMora0000-0002-0538-7262International Center for Tropical Agriculture (CIAT)Oceania, 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, soybeanHarvard Dataverse2023Agricultural SciencesEarth and Environmental Sciencesbananasbarleybeanscassavacowpeasmaizepearl milletpotatoesricesorghumsoybeansweet potatoeswheatyamsabiotic stressagroclimatic indicatorsclimatic datasoildroughtheatfloodingspatial datatemperaturemaximum temperatureminimum temperatureprecipitationrastersolar radiationevapotranspirationwaterloggingOceaniaLatin America and the CaribbeanClimate Actionclimatic dataAlliance Data ManagementThe Alliance of Bioversity International and CIATRamirez, JulianJulianRamirezInternational Center for Tropical Agriculture (CIAT)Bioversity International and the International Center for Tropical AgricultureBioversity International and the International Center for Tropical AgricultureInternational Center for Agricultural Research in the Dry Areas (ICARDA)International Center for Agricultural Research in the Dry Areas (ICARDA)Ramirez, JulianJulianRamirezKehel, ZakariaZakariaKehelSotelo, StevenStevenSoteloHernandez, VictorVictorHernandezGarcia, Juan-CamiloJuan-CamiloGarciaBioversity International and the International Center for Tropical AgricultureBioversity International and the International Center for Tropical AgricultureInternational Center for Agricultural Research in the Dry Areas (ICARDA)2023-01-312022-06-302022-11-302024-01-312021-01-01/2022-06-01Climate Date3229629453028428715026731051376256389482653285662855168902614445672939716002744898302843351072989685263039315203182514652853810904249612142250958477798954099577237934134418058783804832743171807400823434094136143635153437525304631284240756283application/vnd.openxmlformats-officedocument.spreadsheetml.sheetapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zipapplication/zip1.2The 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.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.-2.0178.49113.5-47.25 Global Crop Trust