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Application of response surface method (RSM) and central composite design (CCD) for optimization of cassava yield |
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| รหัสดีโอไอ | |
| Creator | Abass I. Taiwo |
| Title | Application of response surface method (RSM) and central composite design (CCD) for optimization of cassava yield |
| Contributor | Saheed A. Agboluaje, Waliu A. Lamidi |
| Publisher | Nakhon Pathom Rajabhat University |
| Publication Year | 2562 |
| Journal Title | Interdisciplinary Research Review |
| Journal Vol. | 14 |
| Journal No. | 6 |
| Page no. | 62 |
| Keyword | Central composite design, response surface methodology, cassava yield |
| URL Website | http://dept.npru.ac.th |
| Website title | สถาบันวิจัยและพัฒนา มหาวิทยาลัยราชภัฏนครปฐม |
| ISSN | 2697-522X |
| Abstract | The decline of agricultural output which has made Nigeria turn from a major agriculture-based exporter to an importing countryhas prompted us to investigate the e ects of Nitrogen, Phosphorus and Potassium (N.P.K) fertilizer on the yield of cassavaplanted on non-fertile land using the Response Surface Methodology (RSM). A three-factor Central Composite Design (CCD)was applied to determine the e ects of the fertilizers on the yield of cassava. The polynomial regression model was developedand validated prior to optimization studies. It was found that the optimum production conditions for the cassava yield were63.95 kg/ha of nitrogen, 154.35 kg/ha of phosphorus and 45.56 kg/ha of potassium. The 3D response surface plot derivedfrom the Mathematical models was applied to determine the optimal conditions. Under the conditions, the maximum cassavayield was 29.90kg/ha. The Coe cient of determination (R2) and adjusted R2 values were 0.9240 and 0.8556 respectively. Thisshowed that the experimental values are in good agreement with the predicted values based on the analysis of variance result.This study proved that Response Surface Methodology can be used e ectively to optimize the yield of cassava, and the CentralComposite Design is e cient, simple, economical and time-saving which can be adopted for optimizing crop yields. |
