Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool)
The purpose for which these indicators were created is to group or characterize the different accessions available in the Genesys database, considering climatic data from where they were collected. For the above, it is necessary to carry out a characterization of zones based on agroclimatic indicato...
| Autor principal: | |
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| Formato: | Conjunto de datos |
| Publicado: |
2022
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| Acceso en línea: | https://hdl.handle.net/10568/128410 |
| _version_ | 1855528274946424832 |
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| author | Mora, Brayan |
| author_browse | Mora, Brayan |
| author_facet | Mora, Brayan |
| author_sort | Mora, Brayan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The purpose for which these indicators were created is to group or characterize the different accessions available in the Genesys database, considering climatic data from where they were collected. For the above, it is necessary to carry out a characterization of zones based on agroclimatic indicators, which are framed in evaluating the following stresses: Heat, Drought and Flooding, in addition to including indicators that capture the behavior of the photoperiod. |
| format | Conjunto de datos |
| id | CGSpace128410 |
| institution | CGIAR Consortium |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | CGSpace1284102024-04-25T06:01:06Z Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) Mora, Brayan The purpose for which these indicators were created is to group or characterize the different accessions available in the Genesys database, considering climatic data from where they were collected. For the above, it is necessary to carry out a characterization of zones based on agroclimatic indicators, which are framed in evaluating the following stresses: Heat, Drought and Flooding, in addition to including indicators that capture the behavior of the photoperiod. 2022-11 2023-02-02T14:22:24Z 2023-02-02T14:22:24Z Dataset https://hdl.handle.net/10568/128410 Open Access Mora, Brayan, 2022, "North America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool)", https://doi.org/10.7910/DVN/KMOQ3O, Harvard Dataverse, V1 |
| spellingShingle | Mora, Brayan Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title | Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title_full | Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title_fullStr | Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title_full_unstemmed | Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title_short | Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool) |
| title_sort | africa set of agroclimatic indicators for the identification of abiotic stresses base of the subsetting tool |
| url | https://hdl.handle.net/10568/128410 |
| work_keys_str_mv | AT morabrayan africasetofagroclimaticindicatorsfortheidentificationofabioticstressesbaseofthesubsettingtool |