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dc.creatorKamara, Alphaen_US
dc.date.accessioned2017-08-21T10:36:04Z
dc.date.available2017-08-21T10:36:04Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/9LB4EkzPen_US
dc.identifier.citationAlpha Kamara. (1/4/2017). Establishment of field trials in the Southern and northern Guinea Savannas of Nigeria. Monitoring of crop performance by smallholder farmers around the trial sites. Use of field data to validate predictive models for legume technology dissemination.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7458
dc.description.abstractTrials were conducted under near-optimal conditions (moisture and nutrients non-limiting) via researcher managed conditions across various locations and sowing dates in rainy and dry season of 2016. Minimum data sets (MDS) for calibration of the models were collected across all locations. Phenological variables collected includes; number of days to first and full flower, first and full podding and physiological maturity. Yield data collected includes: number of pods per plant & meter square; pod weight per plot, number of seeds per pod, pod yield per hectare, seed yield per hectare, tops weight at harvest, pod yield per hectare and seed yield per hectare. Ten common cowpea varieties and seven common soybean varieties were planted as treatments in an RCBD with 3 replications.en_US
dc.formatDOCXen_US
dc.languageenen_US
dc.rightsCC-BY-4.0en_US
dc.titleEstablishment of field trials in the Southern and northern Guinea Savannas of Nigeria. Monitoring of crop performance by smallholder farmers around the trial sites. Use of field data to validate predictive models for legume technology disseminationen_US
dc.typeReporten_US
dcterms.available2017-04-01en_US
cg.creator.idKamara, Alpha: 0000-0002-1844-2574en_US
cg.subject.agrovocfieldsen_US
cg.contributor.centerInternational Institute of Tropical Agriculture - IITAen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.regionGlobalen_US
cg.contactA.KAMARA@CGIAR.ORGen_US
dc.identifier.statusOpen accessen_US


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