Record Details

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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title 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
 
Identifier https://doi.org/10.7910/DVN/AQGOI7
 
Creator Mora, Brayan
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject Agricultural Sciences
Earth and Environmental Sciences
bananas
barley
beans
cassava
cowpeas
maize
pearl millet
potatoes
rice
sorghum
soybean
sweet potatoes
wheat
yams
abiotic stress
agroclimatic indicators
climatic data
climate change
soil
drought
heat
flooding
spatial data
temperature
maximum temperature
minimum temperature
precipitation
raster
solar radiation
evapotranspiration
waterlogging
South America
Latin America and the Caribbean
Climate Action
 
Language English
 
Date 2022-06-30
 
Contributor Castaño, Silvia-Elena
Ramirez, Julian
Kehel, Zakaria
Sotelo, Steven
Hernandez, Victor
Garcia, Juan-Camilo
 
Relation

Mora, Brayan, 2023, "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, soybean", https://doi.org/10.7910/DVN/QSTFL, Harvard Dataverse.

Mora, Brayan, 2023, "Asia, 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",
https://doi.org/10.7910/DVN/8FB13P, Harvard Dataverse.

Mora, Brayan, 2023, "Europe, 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",
https://doi.org/10.7910/DVN/YQULMX, Harvard Dataverse.

Mora, Brayan, 2023, "Africa, 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",
https://doi.org/10.7910/DVN/LI5D3A", Harvard Dataverse.

Mora, Brayan, 2023, "North 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",
https://doi.org/10.7910/DVN/TV4XEC, Harvard Dataverse.
 
Type Climate Date
Geospatial Data