FIGS_ICBW_StemRust_2017
MELDATA Dataverse OAI Archive
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Title |
FIGS_ICBW_StemRust_2017
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Identifier |
https://hdl.handle.net/20.500.11766.1/9XCRUE
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Creator |
Kehel, Zakaria
Tsivelikas, Athanasios |
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Publisher |
MELDATA
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Description |
The FIGSICBWStemRust2017 FIGS set was constructed using evaluation data from more than 5000 bread wheat accessions in Yemen during 2008 and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using WorldClim data. The metrics from the machine learning were high (Accuracy = 0.82 and Kappa = 0.58). 210 accessions were then selected based on higher predictive probability. FIGSICBWStemRust2017 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 stem rust 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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