Non-destructive method for prediction leaf area and chlorophyll content for some horticultural plants cultivated in Erbil city

Joint Authors

Abd al-Rahman, Yusuf A.
al-Barzinji, Iqbal M.
Khaddur, Sargul A.

Source

مجلة جامعة دهوك

Publisher

University of Duhok

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Agriculture

English Abstract

This study was conducted in Erbil Governorate, Iraq Kurdistan region at August 2014 on ten horticultural species including Acer negundo, Buxussempervirens, Carissa macrocarpa, Dombeyawallichii, Durantarepens L., Ficusnitida, Lantana cammara, Ligustrum sp., Morus alba andPittosporumtobira, by using simple and multiple regression analyses for determining more accurate prediction model (high coefficient of determination and less MSE) for calculate leaf area and chlorophyll content depending on leaf length, width and their combinationsas independent variables.

The results showed that simple linear regression models that were used for predicating the leaf area regarding to all independent variables were extremely significant (p<0.000) for all studied species except the relation between leaf length and leaf area for Ligustrum sp.

species.Multiple linear regressions that using length and width as independent variableswere more accurate for Buxussempervirens, Durantarepens L., Ficusnitida, Ligustrum sp., Morus alba and Pittosporumtobira, compared to other species.

The results also showed that multiple linear regression model that used for predicting the leaf chlorophyll content, each of Carissa macrocarpa, Durantarepens L.,Ficusnitida, Lantana cammara andPittosporumtobira record high significant relationships as compared to other species where recordsnon-significant relations.The selected models enabled the researcher to estimate accurately, leafarea and chlorophyll content for some horticultural species without leaf destruction or using expensive tools.

Data Type

Conference Papers

Record ID

BIM-797821

• APA
• MLA
• AMA