Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.crpMaizeen
cg.contributor.crpGrain Legumesen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeExcellence in Agronomyen
cg.coverage.countryNigeriaen
cg.coverage.iso3166-alpha2NGen
cg.coverage.regionAfricaen
cg.coverage.regionWestern Africaen
cg.creator.identifierHelen Peter: 0000-0002-2598-921Xen
cg.creator.identifierAbdullahi Ibrahim Tofa: 0000-0002-7617-4395en
cg.creator.identifierKamaluddin Tijjani Aliyu: 0000-0003-1613-1147en
cg.creator.identifierAlpha Kamara: 0000-0002-1844-2574en
cg.creator.identifierChristine Kreye: 0000-0001-6090-2856en
cg.identifier.iitathemeBIOTECH & PLANT BREEDINGen
cg.subject.actionAreaSystems Transformationen
cg.subject.iitaAGRONOMYen
cg.subject.iitaCLIMATE CHANGEen
cg.subject.iitaFOOD SECURITYen
cg.subject.iitaMAIZEen
cg.subject.iitaPLANT BREEDINGen
cg.subject.iitaSMALLHOLDER FARMERSen
cg.subject.impactAreaClimate adaptation and mitigationen
cg.subject.impactPlatformClimate Changeen
cg.subject.sdgSDG 13 - Climate actionen
dc.contributor.authorBenito, E.G.en
dc.contributor.authorPeter, H.en
dc.contributor.authorTofa, A.I.en
dc.contributor.authorTijjani, K.en
dc.contributor.authorKamara, A.en
dc.contributor.authorKreye, C.en
dc.date.accessioned2024-01-26T14:37:40Zen
dc.date.available2024-01-26T14:37:40Zen
dc.identifier.urihttps://hdl.handle.net/10568/138597
dc.titleTool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendationen
dcterms.abstractSeasonal variability is a major constraint for many farmers cultivating maize under rainfed conditions in Northern Nigeria. Climate change is resulting in more erratic seasonal weather patterns and limiting the ability of farmers to rely on previous knowledge of the farming system where they operate. The Variety and Planting Window Recommendation Decision Support Tool (DST) for the EiA SAA - Nigeria use case aims to provide farmers with spatially explicit recommendations on optimal variety and planting window combinations. The recommendations are based on DSSAT v47 using a spatialization framework and consuming data from iSDA soil, CHIRPSv2 and ECMWF AgERA5. Additionally, calibrated cultivar coefficients are used to reproduce the local behavior of maize varieties in the target area. The tool is expected to be updated every cropping season (year), to account for the previous year’s conditions on the recommendations.en
dcterms.accessRightsOpen Accessen
dcterms.audienceScientistsen
dcterms.bibliographicCitationBenito, E.G., Peter, H., Tofa, A.I., Tijjani, K., Kamara, A. & Kreye, C. (2023). Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation. Ibadan: IITA, (21 p.).en
dcterms.extent21 p.en
dcterms.issued2023en
dcterms.languageenen
dcterms.licenseCC-BY-4.0en
dcterms.publisherInternational Institute of Tropical Agricultureen
dcterms.subjectmaizeen
dcterms.subjectplantingen
dcterms.subjectclimate changeen
dcterms.subjectfood securityen
dcterms.subjectinformation technologyen
dcterms.subjectnigeriaen
dcterms.typeManualen

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