AN EVALUATION FOR SOME METHODS OF MEASURING LEAF AREA FOR A GROUP OF ORNAMENTAL PLANTS &COMPARE IT WITH TRADITIONAL METHODS | ||
| Kirkuk University Journal For Agricultural Sciences | ||
| Article 1, Volume 3, Issue 1, June 2012, Pages 1-7 PDF (929.23 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.58928/ku12.03101 | ||
| Author | ||
| Asmaa Mohammed Adil | ||
| Abstract | ||
| This study carried out to look at easy alternative ways instate of the traditional methods to measuring leaf area for four types of ornamental plants in the different forms and the leaves included Ficus elastica Roxb. Var Decora, Scindapsus aureus, Hedera helix, Ficus nitida, and comparison of different measurement methods with each other. The study included conventional measuring methods (cloning and cork pore) and update methods by computer measurement program and statistical method by using regression predictive equations. The results showed no differences between measuring methods except with Ficus nitida, but the measuring of leaf area in a direct computer way gave the most accurate results to find the leaf area of Ficus elastica Roxb. Var Decora, Scindapsus aureus, Ficus nitida and Hedera helix plants (166.32, 41.13, 27.28 and 59.29) cm2, respectively. The results of method by measuring leaf area using the dry weight of the leave plant were not encouraging compared with the rest ways. While the method of calculating the leaf area of leave plants gave nearest values by cloning with computer way for the Ficus elastica Roxb. Var Decora, Scindapsus aureus, Ficus nitida and Hedera helix plants (172.47, 46.61, 29.80 and 62.28) cm2, respectively. But when using the regression equation way the results was satisfactory with some plants only. And the best results registered with Ficus elastica Roxb. Var Decora & Ficus nitida plants when using regression equations based on the way of cloning, as was the coefficient of determination R2 where (0.9964 and 0.9453) respectively, and it was (0.9953, 0.9776 and 0.9384) with Ficus elastica Roxb. Var Decora, Scindapsus aureus & Ficus nitida plants respectively, when using the regression equations based on the computer way. | ||
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