ICAR Research Data Repository for Knowledge Management
FIGS_ICDW_Scab_2017
MELDATA Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
FIGS_ICDW_Scab_2017
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| Identifier |
https://hdl.handle.net/20.500.11766.1/GYJLXC
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| Creator |
Kehel, Zakaria
Amri, Ahmed Tsivelikas, Athanasios |
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| Publisher |
MELDATA
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| Description |
The FIGSICDWScab2017 FIGS set was constructed using evaluation data from more than 5590 durum wheat accessions and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using daily climatic data aligned to onset to capture durum wheat physiological stage. The metrics from the machine learning were medium to high (Accuracy = 0.75 and Kappa = 0.35). 210 accessions were then selected based on higher predictive probability. FIGSICDWScab2017 is the name of the FIGS subset including the crop, trait name and the year of construction.
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| Subject |
Agricultural Sciences
wheat fusarium no poverty zero hunger |
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| Language |
English
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| Date |
2017-12-15
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| Contributor |
Francesco Bonechi (International Center for Agricultural Research in the Dry Areas - ICARDA)
Zakaria Kehel (International Center for Agricultural Research in the Dry Areas - ICARDA) Global Crop Diversity Trust - GCDT Zakaria Kehel (International Center for Agricultural Research in the Dry Areas - ICARDA) |
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