Seedling emergence model for tropic Ageratum (Ageratum conyzoides)
The timing of weed seedling emergence relative to the crop is important in planning and optimizing the time of weed control, but very little work has been done to predict seedling emergence of tropical weed species, especially in low-input and small-scale farms. We developed a simple model based on...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Cambridge University Press
2005
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/91893 |
| _version_ | 1855532033248329728 |
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| author | Ekeleme, F. Forcella, F. Archer, D. Akobundu, O. Chikoye, David |
| author_browse | Akobundu, O. Archer, D. Chikoye, David Ekeleme, F. Forcella, F. |
| author_facet | Ekeleme, F. Forcella, F. Archer, D. Akobundu, O. Chikoye, David |
| author_sort | Ekeleme, F. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The timing of weed seedling emergence relative to the crop is important in planning and optimizing the time of weed control, but very little work has been done to predict seedling emergence of tropical weed species, especially in low-input and small-scale farms. We developed a simple model based on hydrothermal time to predict seedling emergence of tropic ageratum. Hydrothermal time at 2-cm soil depth was calculated from soil moisture and soil temperature simulated from several micrometeorological and soil physical variables. The model was developed using 5 yr of field emergence data from a continuous corn–cassava production system in southwestern Nigeria. Percentage of cumulative seedling emergence from the 5-yr data set was fitted to cumulative soil hydrothermal time using a Weibull function. The predicted cumulative emergence curve significantly matched observed field emergence (r2 = 0.83). Model predictions were evaluated with root mean square error (RMSE) using four field emergence data sets from southeastern Nigeria (RMSE ≤ 10.1) and Los Banos, Philippines (RMSE = 8.9). RMSE values ≤ 10 indicated that predictions represented observations well. With such models, extension personnel working on tropical soils, especially in West Africa, may be able to provide additional advice to farmers on the appropriate time for the management of tropic ageratum. |
| format | Journal Article |
| id | CGSpace91893 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2005 |
| publishDateRange | 2005 |
| publishDateSort | 2005 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | dspace |
| spelling | CGSpace918932024-05-15T05:11:55Z Seedling emergence model for tropic Ageratum (Ageratum conyzoides) Ekeleme, F. Forcella, F. Archer, D. Akobundu, O. Chikoye, David hydrothermal time phenology simulation soil moisture soil temperature tropical weed The timing of weed seedling emergence relative to the crop is important in planning and optimizing the time of weed control, but very little work has been done to predict seedling emergence of tropical weed species, especially in low-input and small-scale farms. We developed a simple model based on hydrothermal time to predict seedling emergence of tropic ageratum. Hydrothermal time at 2-cm soil depth was calculated from soil moisture and soil temperature simulated from several micrometeorological and soil physical variables. The model was developed using 5 yr of field emergence data from a continuous corn–cassava production system in southwestern Nigeria. Percentage of cumulative seedling emergence from the 5-yr data set was fitted to cumulative soil hydrothermal time using a Weibull function. The predicted cumulative emergence curve significantly matched observed field emergence (r2 = 0.83). Model predictions were evaluated with root mean square error (RMSE) using four field emergence data sets from southeastern Nigeria (RMSE ≤ 10.1) and Los Banos, Philippines (RMSE = 8.9). RMSE values ≤ 10 indicated that predictions represented observations well. With such models, extension personnel working on tropical soils, especially in West Africa, may be able to provide additional advice to farmers on the appropriate time for the management of tropic ageratum. 2005-01 2018-03-23T06:48:58Z 2018-03-23T06:48:58Z Journal Article https://hdl.handle.net/10568/91893 en Limited Access Cambridge University Press Ekeleme, F., Forcella, F., Archer, D., Akobundu, O. & Chikoye, D. (2005). Seedling emergence model for tropic ageratum (Ageratum conyzoides). Weed Science, 53(1), 55-61. |
| spellingShingle | hydrothermal time phenology simulation soil moisture soil temperature tropical weed Ekeleme, F. Forcella, F. Archer, D. Akobundu, O. Chikoye, David Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title | Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title_full | Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title_fullStr | Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title_full_unstemmed | Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title_short | Seedling emergence model for tropic Ageratum (Ageratum conyzoides) |
| title_sort | seedling emergence model for tropic ageratum ageratum conyzoides |
| topic | hydrothermal time phenology simulation soil moisture soil temperature tropical weed |
| url | https://hdl.handle.net/10568/91893 |
| work_keys_str_mv | AT ekelemef seedlingemergencemodelfortropicageratumageratumconyzoides AT forcellaf seedlingemergencemodelfortropicageratumageratumconyzoides AT archerd seedlingemergencemodelfortropicageratumageratumconyzoides AT akobunduo seedlingemergencemodelfortropicageratumageratumconyzoides AT chikoyedavid seedlingemergencemodelfortropicageratumageratumconyzoides |