Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm
In this study a regression models for accurate estimation of leaf area from simple measured leaves length and middle width were described as well as assessment of total leaf area variation with frond ages. Results shows that total leaf area of the frond are decreased with increase frond ages and upp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Asian Network for Scientific Information
2004
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16476/2/Regression%20model%20for%20computing%20leaf%20area%20and%20assessment%20of%20total%20leaf%20area%20variation%20with%20frond%20ages%20in%20oil%20palm.pdf |
| _version_ | 1796969062265257984 |
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| author | Awal, Md. Abdul Wan Ismail, Wan Ishak Endan, Johari Harun, Mohd Haniff |
| author_facet | Awal, Md. Abdul Wan Ismail, Wan Ishak Endan, Johari Harun, Mohd Haniff |
| author_sort | Awal, Md. Abdul |
| collection | UPM |
| description | In this study a regression models for accurate estimation of leaf area from simple measured leaves length and middle width were described as well as assessment of total leaf area variation with frond ages. Results shows that total leaf area of the frond are decreased with increase frond ages and upper frond represents more leaf area than lower frond at same palm. In this study two models (linear and log-linear) were proposed for accurate estimation of leaf area. (a) Lac = 0.80 x (L.W) And (b) Log Lac = 0.957 x Log (L.W), where Lac, L and W represents the actual leaf area, leaf length and leaf width respectively. Statistical analysis indicates a high degree of association (R2 = 0.99) and the low standard errors of estimation were 0.7477. The standard error of estimate of coefficient was 0.0032 (model ‘a’). Logarithmic transform of data were also well fitted both linear and non-linear regression. However, it is considered only linear model for simplicity. These Logarithmic transform of data also indicate a high degree of association (R2 = 0.99) and the low standard error of estimation were 0.02. The standard error of estimate of coefficient was (0.0005). This model was validated using other experimental results, which showed a good agreement between measured and estimated leaf area. |
| first_indexed | 2024-03-06T07:37:32Z |
| format | Article |
| id | upm.eprints-16476 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:37:32Z |
| publishDate | 2004 |
| publisher | Asian Network for Scientific Information |
| record_format | dspace |
| spelling | upm.eprints-164762016-06-08T01:54:51Z http://psasir.upm.edu.my/id/eprint/16476/ Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm Awal, Md. Abdul Wan Ismail, Wan Ishak Endan, Johari Harun, Mohd Haniff In this study a regression models for accurate estimation of leaf area from simple measured leaves length and middle width were described as well as assessment of total leaf area variation with frond ages. Results shows that total leaf area of the frond are decreased with increase frond ages and upper frond represents more leaf area than lower frond at same palm. In this study two models (linear and log-linear) were proposed for accurate estimation of leaf area. (a) Lac = 0.80 x (L.W) And (b) Log Lac = 0.957 x Log (L.W), where Lac, L and W represents the actual leaf area, leaf length and leaf width respectively. Statistical analysis indicates a high degree of association (R2 = 0.99) and the low standard errors of estimation were 0.7477. The standard error of estimate of coefficient was 0.0032 (model ‘a’). Logarithmic transform of data were also well fitted both linear and non-linear regression. However, it is considered only linear model for simplicity. These Logarithmic transform of data also indicate a high degree of association (R2 = 0.99) and the low standard error of estimation were 0.02. The standard error of estimate of coefficient was (0.0005). This model was validated using other experimental results, which showed a good agreement between measured and estimated leaf area. Asian Network for Scientific Information 2004 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16476/2/Regression%20model%20for%20computing%20leaf%20area%20and%20assessment%20of%20total%20leaf%20area%20variation%20with%20frond%20ages%20in%20oil%20palm.pdf Awal, Md. Abdul and Wan Ismail, Wan Ishak and Endan, Johari and Harun, Mohd Haniff (2004) Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm. Asian Journal of Plant Sciences, 3 (5). pp. 642-646. ISSN 1682-3974; ESSN: 1812-5697 http://www.scialert.net/abstract/?doi=ajps.2004.642.646 10.3923/ajps.2004.642.646 |
| spellingShingle | Awal, Md. Abdul Wan Ismail, Wan Ishak Endan, Johari Harun, Mohd Haniff Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title | Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title_full | Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title_fullStr | Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title_full_unstemmed | Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title_short | Regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| title_sort | regression model for computing leaf area and assessment of total leaf area variation with frond ages in oil palm |
| url | http://psasir.upm.edu.my/id/eprint/16476/2/Regression%20model%20for%20computing%20leaf%20area%20and%20assessment%20of%20total%20leaf%20area%20variation%20with%20frond%20ages%20in%20oil%20palm.pdf |
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