Soil mapping, fertilizer application, and maize yield: A spatial econometric approach
Despite the increasing availability of precision agriculture technology, most farmers in developing countries are still practicing farming with limited reliable information on soil characteristics. Using a unique geo-referenced dataset from the Democratic Republic of Congo, this article provides emp...
| Autores principales: | , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
AKADEMIYA2063
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/141005 |
| _version_ | 1855525687041982464 |
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| author | Ulimwengu, John M. Kibonge, Aziza |
| author_browse | Kibonge, Aziza Ulimwengu, John M. |
| author_facet | Ulimwengu, John M. Kibonge, Aziza |
| author_sort | Ulimwengu, John M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Despite the increasing availability of precision agriculture technology, most farmers in developing countries are still practicing farming with limited reliable information on soil characteristics. Using a unique geo-referenced dataset from the Democratic Republic of Congo, this article provides empirical insights on the spatial effects of fertilizer application on maize yield while estimating the size and direction of spatial spillover effects (direct and indirect effects) from leaching and runoff. Three fertilizer application scenarios are examined: i) homogeneous fertilizer application, ii) site-specific or heterogeneous, and iii) site-specific with spillover effects. Maize yield response is then assessed for the three scenarios. We found significantly higher maize yields under site-specific application (8.4 tons/ha) compared to homogeneous application (2.0 ons/ ha). Our findings also provide evidence of spillover effects as the average maize yield is reduced by 1.9 tons/ha when spatial spillovers are accounted for. As anticipated, farmers’ profitability with homogeneous fertilizer application is lower in comparison to site-specific application. Furthermore, excluding areas with potentially lower gross profit margins results in a 35.6 percent increase in gross profit (site-specific), and a 22.7 percent increase (site-specific with spillovers). |
| format | Artículo preliminar |
| id | CGSpace141005 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | AKADEMIYA2063 |
| publisherStr | AKADEMIYA2063 |
| record_format | dspace |
| spelling | CGSpace1410052024-10-25T07:57:50Z Soil mapping, fertilizer application, and maize yield: A spatial econometric approach Ulimwengu, John M. Kibonge, Aziza profitability models fertilizers maize fertilizer application soil analysis econometric models yields Despite the increasing availability of precision agriculture technology, most farmers in developing countries are still practicing farming with limited reliable information on soil characteristics. Using a unique geo-referenced dataset from the Democratic Republic of Congo, this article provides empirical insights on the spatial effects of fertilizer application on maize yield while estimating the size and direction of spatial spillover effects (direct and indirect effects) from leaching and runoff. Three fertilizer application scenarios are examined: i) homogeneous fertilizer application, ii) site-specific or heterogeneous, and iii) site-specific with spillover effects. Maize yield response is then assessed for the three scenarios. We found significantly higher maize yields under site-specific application (8.4 tons/ha) compared to homogeneous application (2.0 ons/ ha). Our findings also provide evidence of spillover effects as the average maize yield is reduced by 1.9 tons/ha when spatial spillovers are accounted for. As anticipated, farmers’ profitability with homogeneous fertilizer application is lower in comparison to site-specific application. Furthermore, excluding areas with potentially lower gross profit margins results in a 35.6 percent increase in gross profit (site-specific), and a 22.7 percent increase (site-specific with spillovers). 2022-06-01 2024-04-12T13:37:04Z 2024-04-12T13:37:04Z Working Paper https://hdl.handle.net/10568/141005 en Open Access AKADEMIYA2063 Ulimwengu, John M.; and Kibonge, Aziza. 2022. Soil mapping, fertilizer application, and maize yield: A spatial econometric approach. AKADEMIYA2063 Working Papers Series, No. 004. Kigali, Rwanda: AKADEMIYA2063. https://akademiya2063.org/publications/awps/AWPS%20No-004.pdf |
| spellingShingle | profitability models fertilizers maize fertilizer application soil analysis econometric models yields Ulimwengu, John M. Kibonge, Aziza Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title | Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title_full | Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title_fullStr | Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title_full_unstemmed | Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title_short | Soil mapping, fertilizer application, and maize yield: A spatial econometric approach |
| title_sort | soil mapping fertilizer application and maize yield a spatial econometric approach |
| topic | profitability models fertilizers maize fertilizer application soil analysis econometric models yields |
| url | https://hdl.handle.net/10568/141005 |
| work_keys_str_mv | AT ulimwengujohnm soilmappingfertilizerapplicationandmaizeyieldaspatialeconometricapproach AT kibongeaziza soilmappingfertilizerapplicationandmaizeyieldaspatialeconometricapproach |