CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria
Simulation models have the potential of greatly enhancing decision-making by farmers and researchers in Nigeria. These models however, need to be adapted before use. This study was conducted to test the phenology module of CERES-Maize model version 3.5 under varying N rates as a step toward adapting...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2003
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/92586 |
| _version_ | 1855522037385134080 |
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| author | Gungula, D.T. Kling, J. Togun, A. |
| author_browse | Gungula, D.T. Kling, J. Togun, A. |
| author_facet | Gungula, D.T. Kling, J. Togun, A. |
| author_sort | Gungula, D.T. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Simulation models have the potential of greatly enhancing decision-making by farmers and researchers in Nigeria. These models however, need to be adapted before use. This study was conducted to test the phenology module of CERES-Maize model version 3.5 under varying N rates as a step toward adapting the model in the Southern Guinea Savanna of Nigeria. Data on seven late-maturing cultivars of maize (Zea mays L.) grown under 0, 30, 60, 90, and 120 kg N ha−1 in the field for two seasons were used for running the model. There was a linear relationship between N rates and days to silking and maturity with R 2 values of > 0.70 for most of the cultivars, indicating that N strongly influenced phenology. Predictions of days to silking at high N rates (90 and 120 kg N ha−1) were close, with most prediction errors of <2 d. The highest deviations in the calibration results were 4 and 2 d for 90 and 120 kg N ha−1, respectively, while in the validation results, they were 1 and 2 d. Similarly, days to maturity were closely predicted by the model at high N rates with <2-d deviations for most predictions. At low N rates, however, there were greater deviations in model predictions. This shows that the CERES-Maize model can be reliably used for predicting maize phenology only under nonlimiting N conditions. Thus, a N stress factor needs to be incorporated into the model for more accurate phenology prediction in low-N tropical soils. |
| format | Journal Article |
| id | CGSpace92586 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2003 |
| publishDateRange | 2003 |
| publishDateSort | 2003 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace925862024-08-27T10:35:37Z CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria Gungula, D.T. Kling, J. Togun, A. maize cultivars maize phenology model Simulation models have the potential of greatly enhancing decision-making by farmers and researchers in Nigeria. These models however, need to be adapted before use. This study was conducted to test the phenology module of CERES-Maize model version 3.5 under varying N rates as a step toward adapting the model in the Southern Guinea Savanna of Nigeria. Data on seven late-maturing cultivars of maize (Zea mays L.) grown under 0, 30, 60, 90, and 120 kg N ha−1 in the field for two seasons were used for running the model. There was a linear relationship between N rates and days to silking and maturity with R 2 values of > 0.70 for most of the cultivars, indicating that N strongly influenced phenology. Predictions of days to silking at high N rates (90 and 120 kg N ha−1) were close, with most prediction errors of <2 d. The highest deviations in the calibration results were 4 and 2 d for 90 and 120 kg N ha−1, respectively, while in the validation results, they were 1 and 2 d. Similarly, days to maturity were closely predicted by the model at high N rates with <2-d deviations for most predictions. At low N rates, however, there were greater deviations in model predictions. This shows that the CERES-Maize model can be reliably used for predicting maize phenology only under nonlimiting N conditions. Thus, a N stress factor needs to be incorporated into the model for more accurate phenology prediction in low-N tropical soils. 2003-07 2018-05-17T09:02:45Z 2018-05-17T09:02:45Z Journal Article https://hdl.handle.net/10568/92586 en Limited Access Wiley Gungula, D.T., Kling, J. & Togun, A. (2003). CERESmaize predictions of maize phenology under nitrogenstressed conditions in Nigeria. Agronomy Journal, 95, 892-899. |
| spellingShingle | maize cultivars maize phenology model Gungula, D.T. Kling, J. Togun, A. CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title | CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title_full | CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title_fullStr | CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title_full_unstemmed | CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title_short | CERES-maize predictions of maize phenology under nitrogenstressed conditions in Nigeria |
| title_sort | ceres maize predictions of maize phenology under nitrogenstressed conditions in nigeria |
| topic | maize cultivars maize phenology model |
| url | https://hdl.handle.net/10568/92586 |
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