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Estimate App for yam anthracnose disease phenotyping: user guide

dc.contributor.authorKolade, O.
dc.contributor.authorKumar, P.L.
dc.date.accessioned2022-10-13T08:10:27Z
dc.date.available2022-10-13T08:10:27Z
dc.date.issued2021
dc.identifier.citationKolade, O. & Kumar, P.L. (2021). Estimate App for yam anthracnose disease phenotyping: user guide. Ibadan, Nigeria: IITA, (38p.).
dc.identifier.isbn978-978-131-396-7
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7866
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent38 p.
dc.language.isoen
dc.publisherIInternational Institute of Tropical Agriculture
dc.subjectYams
dc.subjectFood Security
dc.subjectDioscorea Alata
dc.subjectDiseases
dc.subjectGenotypes
dc.subjectAnthracnosis
dc.titleEstimate App for yam anthracnose disease phenotyping: user guide
dc.typeBook
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidKOLADE:2021
cg.authorship.typesCGIAR Single Centre
cg.iitasubjectAgronomy
cg.iitasubjectDisease Control
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.publicationplaceIbadan, Nigeria
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.iitaauthor.identifierOlufisayo Kolade: 0000-0003-1920-1972
cg.iitaauthor.identifierP. Lava Kumar: 0000-0003-4388-6510
cg.futureupdate.requiredNo


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