Spatial and temporal distribution of optimal maize sowing dates in Nigeria
Climate change and inter-annual variability cause variation in rainfall commencement and cessation which has consequences for the maize growing season length and thus impact yields. This study therefore sought to determine the spatially explicit optimum maize sowing dates to enable site specific rec...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/155332 |
| _version_ | 1855543343714402304 |
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| author | Mkuhlani, S. Bendito, E.G. Tofa, A.I. Aliyu, K.T. Shehu, B.M. Kreye, C. Chemura, A. |
| author_browse | Aliyu, K.T. Bendito, E.G. Chemura, A. Kreye, C. Mkuhlani, S. Shehu, B.M. Tofa, A.I. |
| author_facet | Mkuhlani, S. Bendito, E.G. Tofa, A.I. Aliyu, K.T. Shehu, B.M. Kreye, C. Chemura, A. |
| author_sort | Mkuhlani, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Climate change and inter-annual variability cause variation in rainfall commencement and cessation which has consequences for the maize growing season length and thus impact yields. This study therefore sought to determine the spatially explicit optimum maize sowing dates to enable site specific recommendations in Nigeria. Gridded weather and soil data, crop management and cultivar were used to simulate maize yield from 1981–2019 at a scale of 0.5°. A total of 37 potential sowing dates between 1 March and 7 November at an interval of 7 days for each year were evaluated. The optimum sowing date was the date which maximizes yield at harvest, keeping all other management factors constant. The results show that optimum sowing dates significantly vary across the country with northern Nigeria having notably delayed sowing dates compared to southern Nigeria which has earlier planting dates. The long-term optimal sowing dates significantly (p<0.05), shifted between the 1980s (1981–1990), and current (2011–2019), for most of the country. The most optimum planting dates of southern Nigeria shifted to later sowing dates while most optimum sowing dates of central and northern Nigeria shifted to earlier sowing dates. There was more variation in optimum sowing dates in the wetter than the drier agro-ecologies. Changes in climate explain changes in sowing dates in wetter agro-ecologies compared to drier agro-ecologies. The study concludes that the optimum sowing dates derived from this study and the corresponding methodology used to generate them can be used to improve cropping calendars in maize farming in Nigeria. |
| format | Journal Article |
| id | CGSpace155332 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1553322025-12-08T09:54:28Z Spatial and temporal distribution of optimal maize sowing dates in Nigeria Mkuhlani, S. Bendito, E.G. Tofa, A.I. Aliyu, K.T. Shehu, B.M. Kreye, C. Chemura, A. climate change maize planting date farming systems food security nigeria sowing date spatial distribution Climate change and inter-annual variability cause variation in rainfall commencement and cessation which has consequences for the maize growing season length and thus impact yields. This study therefore sought to determine the spatially explicit optimum maize sowing dates to enable site specific recommendations in Nigeria. Gridded weather and soil data, crop management and cultivar were used to simulate maize yield from 1981–2019 at a scale of 0.5°. A total of 37 potential sowing dates between 1 March and 7 November at an interval of 7 days for each year were evaluated. The optimum sowing date was the date which maximizes yield at harvest, keeping all other management factors constant. The results show that optimum sowing dates significantly vary across the country with northern Nigeria having notably delayed sowing dates compared to southern Nigeria which has earlier planting dates. The long-term optimal sowing dates significantly (p<0.05), shifted between the 1980s (1981–1990), and current (2011–2019), for most of the country. The most optimum planting dates of southern Nigeria shifted to later sowing dates while most optimum sowing dates of central and northern Nigeria shifted to earlier sowing dates. There was more variation in optimum sowing dates in the wetter than the drier agro-ecologies. Changes in climate explain changes in sowing dates in wetter agro-ecologies compared to drier agro-ecologies. The study concludes that the optimum sowing dates derived from this study and the corresponding methodology used to generate them can be used to improve cropping calendars in maize farming in Nigeria. 2024 2024-10-14T09:23:41Z 2024-10-14T09:23:41Z Journal Article https://hdl.handle.net/10568/155332 en Open Access application/pdf Mkuhlani, S., Bendito, E.G., Tofa, A.I., Aliyu, K.T., Shehu, B.M., Kreye, C. & Chemura, A. (2024). Spatial and temporal distribution of optimal maize sowing dates in Nigeria. PLoS ONE, 19(5): e0300427, 1-16. |
| spellingShingle | climate change maize planting date farming systems food security nigeria sowing date spatial distribution Mkuhlani, S. Bendito, E.G. Tofa, A.I. Aliyu, K.T. Shehu, B.M. Kreye, C. Chemura, A. Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title | Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title_full | Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title_fullStr | Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title_full_unstemmed | Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title_short | Spatial and temporal distribution of optimal maize sowing dates in Nigeria |
| title_sort | spatial and temporal distribution of optimal maize sowing dates in nigeria |
| topic | climate change maize planting date farming systems food security nigeria sowing date spatial distribution |
| url | https://hdl.handle.net/10568/155332 |
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