Show simple item record

dc.contributor.authorGarba, M.
dc.contributor.authorKamara, A.
dc.contributor.authorMohamed, F.S.
dc.contributor.authorTofa, A.
dc.contributor.authorMahamane, S.
dc.contributor.authorSalissou, H.
dc.contributor.authorKapran, B.I.
dc.contributor.authorAbdoulaye, T.
dc.contributor.authorGarba, I.I.
dc.date.accessioned2024-10-15T07:59:57Z
dc.date.available2024-10-15T07:59:57Z
dc.date.issued2024-06-06
dc.identifier.citationGarba, M., Mohamed, A.M., Tofa, A.I., Mahamane, S.A., Salissou, H., Kapran, B.I., ... & Garba, I.I. (2024). Assessing the effects of plant density and nitrogen on millet yield in Southern Niger using the CERES-millet model. CABI Agriculture and Bioscience, 5(1):50, 1-16
dc.identifier.issn2662-4044
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8601
dc.description.abstractBackground The dryland production environments in Niger Republic (Niger) generate variable crop production risks that reduce crop yields and increase regional food insecurity. Optimal combinations of crop varieties and management are needed to maximize crop water-limited yields in these environments. Methods In this study, we calibrated and validated the CERES-Millet model using data from field experiments. Seasonal analysis (1984–2020) was carried out in 18 selected sites across the three agroecological zones (AEZs) to test the effects of plant density and N fertilization on grain yield. The treatment included five different plant densities (1.5, 3, 6, 9, and 12 plants m−2) and four N rates (0, 20, 40, and 60 kg N ha−1). Three millet varieties (CHAKTI, HKP, and SOSAT-C88) were compared. Millet production risk was assessed at each AEZ using cumulative probability distribution graphs. The acceptable grain yield required to compensate for the minimum production cost of millet in Niger was set to 975 kg ha−1 (75th percentile of the simulated data). Results The CERES-Millet model reasonably reproduced number of days to flowering (d-index > 0.50; RMSE < 2 days), number of days to maturity (d-index > 0.50; RMSE < 2 days), and grain yield d-index > 0.78; RMSE < 100 kg ha−1) for all the three varieties. The results showed that there was significant response to N (40 – 110% yield increase following N application) and plant density (30–80% yield increase by increasing density above 1.5 plants m−2) in all the AEZs depending on variety. The SOSAT was the most responsive variety to N application and plant density in all AEZs. Under low N application (0–20 kg ha−1) and low (1.5—3 plants m−2) to moderate plant density (6 plants m−2), CHAKTI and HKP had the highest production risks. Increasing N application above 20 kg ha−1 mitigate these risks where grain yield was above the 975 kg ha−1 threshold representing the minimum production cost for millet in more than 50% of the years under all plant densities except in Sahel where this threshold was only achieved in < 20% of the years. In all AEZs, increasing plant density above 6 plants m−2 increases this risk under low to moderate N application, but the downside risk was mitigated when N was applied at high rates. Conclusion This study demonstrated N application rate and plant density recommendations must be tailored to specific variety and AEZs to maximize grain yield and reduce volatility in Niger.
dc.description.sponsorshipNorwegian Ministry of Foreign Affairs
dc.format.extent1-16
dc.language.isoen
dc.subjectPennisetum Glaucum
dc.subjectRisk Analysis
dc.subjectMillets
dc.subjectYields
dc.subjectNiger
dc.titleAssessing the effects of plant density and nitrogen on millet yield in Southern Niger using the CERES‑millet model
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.crpMaize
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationInstitut National de la Recherche Agronomique du Niger
cg.contributor.affiliationBayero University Kano
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNiger
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidGARBA:2024
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectClimate Change
cg.iitasubjectFarming Systems
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalCABI Agriculture and Bioscience
cg.notesOpen Access Journal
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1186/s43170-024-00254-x
cg.iitaauthor.identifierGarba Maman: 0000-0002-3377-3064
cg.iitaauthor.identifierAlpha Kamara: 0000-0002-1844-2574
cg.iitaauthor.identifierTahirou Abdoulaye: 0000-0002-8072-1363
cg.futureupdate.requiredNo
cg.identifier.issue1: 50
cg.identifier.volume5


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record