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dc.contributor.authorAdnan, A.A.
dc.contributor.authorJibrin, J. M.
dc.contributor.authorKamara, A.
dc.contributor.authorAbdulrahman, B.L.
dc.contributor.authorShaibu, A.S.
dc.contributor.authorGarba, I.I.
dc.date.accessioned2017-07-03T10:08:11Z
dc.date.available2017-07-03T10:08:11Z
dc.date.issued2017-06-28
dc.identifier.citationAdnan, A.A., Jibrin, J.M., Kamara, A., Abdulrahman, B.L., Shaibu, A.S. & Garba, I.I. (2017). CERES-Maize model for determining the optimum planting dates of early maturing maize varieties in Northern Nigeria. Frontiers in Plant Science, 8(1118), 1-14.en_US
dc.identifier.issn1664-462X
dc.identifier.urihttp://hdl.handle.net/10568/82628
dc.descriptionOpen Access Journalen_US
dc.description.abstractField trials were carried out in the Sudan Savannah of Nigeria to assess the usefulness of CERES–maize crop model as a decision support tool for optimizing maize production through manipulation of plant dates. The calibration experiments comprised of 20 maize varieties planted during the dry and rainy seasons of 2014 and 2015 at Bayero University Kano and Audu Bako College of Agriculture Dambatta. The trials for model evaluation were conducted in 16 different farmer fields across the Sudan (Bunkure and Garun—Mallam) and Northern Guinea (Tudun-Wada and Lere) Savannas using two of the calibrated varieties under four different sowing dates. The model accurately predicted grain yield, harvest index, and biomass of both varieties with low RMSE-values (below 5% of mean), high d-index (above 0.8), and high r-square (above 0.9) for the calibration trials. The time series data (tops weight, stem and leaf dry weights) were also predicted with high accuracy (% RMSEn above 70%, d-index above 0.88). Similar results were also observed for the evaluation trials, where all variables were simulated with high accuracies. Estimation efficiencies (EF)-values above 0.8 were observed for all the evaluation parameters. Seasonal and sensitivity analyses on Typic Plinthiustalfs and Plinthic Kanhaplustults in the Sudan and Northern Guinea Savannas were conducted. Results showed that planting extra early maize varieties in late July and early maize in mid-June leads to production of highest grain yields in the Sudan Savanna. In the Northern Guinea Savanna planting extra-early maize in mid-July and early maize in late July produced the highest grain yields. Delaying planting in both Agro-ecologies until mid-August leads to lower yields. Delaying planting to mid-August led to grain yield reduction of 39.2% for extra early maize and 74.4% for early maize in the Sudan Savanna. In the Northern Guinea Savanna however, delaying planting to mid-August resulted in yield reduction of 66.9 and 94.3% for extra-early and early maize, respectively.en_US
dc.description.sponsorshipInternational Maize and Wheat Improvement Centreen_US
dc.description.sponsorshipInternational Institute of Tropical Agricultureen_US
dc.description.sponsorshipSupport for Agricultural Research for Development of Strategic Cropsen_US
dc.format.extent1-14en_US
dc.language.isoenen_US
dc.sourceFrontiers in Plant Scienceen_US
dc.subjectPLANTING DATEen_US
dc.subjectAGRONOMIC PRACTICESen_US
dc.subjectAGRICULTURAL RESEARCHen_US
dc.subjectCERES–MAIZEen_US
dc.subjectEARLY MAIZEen_US
dc.subjectSENSITIVITY ANALYSISen_US
dc.subjectNORTHERN NIGERIAen_US
dc.titleCERES-maize model for determining the optimum planting dates of early maturing maize varieties in northern Nigeriaen_US
dc.description.versionPeer Reviewen_US
dc.typeJournal Articleen_US
cg.authorship.typesCGIAR and developing country instituteen_US
cg.subject.iitaAGRONOMYen_US
cg.subject.iitaMAIZEen_US
cg.identifier.statusUnrestricted Accessen_US
cg.contributor.affiliationBayero Universityen_US
cg.contributor.affiliationInternational Institute of Tropical Agricultureen_US
cg.targetaudienceSCIENTISTSen_US
cg.fulltextstatusFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.3389/fpls.2017.01118en_US
cg.isijournalISI Journalen_US
cg.coverage.regionAFRICAen_US
cg.coverage.regionWEST AFRICAen_US
cg.coverage.countryNIGERIAen_US
cg.contributor.crpMaizeen_US


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