dc.contributor.author | Akinseye, F.M. |
dc.contributor.author | Ajegbe, H.A. |
dc.contributor.author | Kamara, A.Y. |
dc.contributor.author | Adefisan, E.A. |
dc.contributor.author | Whitbread, A.M. |
dc.date.accessioned | 2022-07-28T09:17:03Z |
dc.date.available | 2022-07-28T09:17:03Z |
dc.date.issued | 2020-01-16 |
dc.identifier.citation | Akinseye, F.M., Ajegbe, H.A., Kamara, A.Y., Adefisan, E.A. & Whitbread, A.M. (2020). Understanding the response of sorghum cultivars to nitrogen applications in the semi-arid Nigeria using the agricultural production systems simulator. Journal of Plant Nutrition, 43(6), 834-850. |
dc.identifier.issn | 0190-4167 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/7584 |
dc.description.abstract | The Agricultural Production Systems simulator (APSIM) model was calibrated and evaluated using two improved sorghum varieties conducted in an experiment designed in a randomized complete block, 2014–2016 at two research stations in Nigeria. The results show that the model replicated the observed yield accounting for yield differences and variations in phenological development between the two sorghum cultivars. For early-maturing cultivar (ICSV-400), the model indicated by low accuracy with root means square error (RMSE) for biomass and grain yields of 20.3% and 23.7%. Meanwhile, Improved-Deko (medium-maturing) cultivar shows the model was calibrated with low RMSE (11.1% for biomass and 13.9% for grain). Also, the model captured yield response to varying Nitrogen (N) fertilizer applications in the three agroecological zones simulated. The N-fertilizer increased simulated grain yield by 26–52% for ICSV-400 and 19–50% for Improved-Deko compared to unfertilized treatment in Sudano-Sahelian zone. The insignificant yield differences between N-fertilizer rates of 60 and 100 kgha−1 suggests 60 kgNha−1 as the optimal rate for Sudano-Sahelian zone. Similarly, grain yield increased by 23–57% for ICSV-400 and 19–59% for Improved Deko compared to unfertilized N-treatment while the optimal mean grain yield was simulated at 80 kgNha−1 in the Sudan savanna zone. In the northern Guinea savanna, mean simulated grain yield increased by 8–20% for ICSV-400 and 12–23% for Improved-Deko when N-fertilizer was applied compared to unfertilized treatment. Optimum grain yield was obtained at 40 kgha−1. Our study suggests a review of blanket recommended fertilizer rates across semi-arid environments for sorghum to maximize productivity and eliminate fertilizer losses, means of adaptation strategies to climate variability. |
dc.format.extent | 834-850 |
dc.language.iso | en |
dc.subject | Climate Change |
dc.subject | Fertilizers |
dc.subject | Agriculture |
dc.subject | Water Availability |
dc.subject | Sorghum |
dc.subject | Nigeria |
dc.title | Understanding the response of sorghum cultivars to nitrogen applications in the semi-arid Nigeria using the agricultural production systems simulator |
dc.type | Journal Article |
cg.contributor.crp | Grain Legumes |
cg.contributor.crp | Maize |
cg.contributor.affiliation | International Crop Research Institute for the Semi-Arid Tropics |
cg.contributor.affiliation | Federal University of Technology, Akure |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | African Centre of Meteorological Application for Development, Niger Republic |
cg.coverage.region | Africa |
cg.coverage.region | West Africa |
cg.coverage.country | Nigeria |
cg.coverage.hub | Headquarters and Western Africa Hub |
cg.researchtheme | Plant Production and Health |
cg.identifier.bibtexciteid | AKINSEYE:2020 |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Agronomy |
cg.iitasubject | Climate Change |
cg.iitasubject | Crop Systems |
cg.iitasubject | Food Security |
cg.iitasubject | Grain Legumes |
cg.iitasubject | Plant Breeding |
cg.iitasubject | Plant Health |
cg.iitasubject | Plant Production |
cg.journal | Journal of Plant Nutrition |
cg.notes | Published online: 16 Jan 2020 |
cg.accessibilitystatus | Limited Access |
cg.reviewstatus | Peer Review |
cg.usagerightslicense | Copyrighted; all rights reserved |
cg.targetaudience | Scientists |
cg.identifier.doi | https://dx.doi.org/10.1080/01904167.2020.1711943 |
cg.iitaauthor.identifier | Folorunso Mathew Akinseye: 0000-0002-8677-6306 |
cg.iitaauthor.identifier | Alpha Kamara: 0000-0002-1844-2574 |
cg.iitaauthor.identifier | Anthony Whitbread: 0000-0003-4840-7670 |
cg.futureupdate.required | No |
cg.identifier.issue | 6 |
cg.identifier.volume | 43 |