Abstract:
A Leaf Area Prediction Model was developed for 12 cherry cultivars viz. (Husenba [1], Lambent [2], 0900 Ziraat [3], Van [4], Bing [51, Bella di Pistoia [6], Stella [7], Early Burlat [8], Karakirtik [9], Hafiz Ahmet [10], Abdullah [11] and Napolyon [12] grown in Turkey (The numbers in square brackets represent the cultivars [(:V] for the equation). Lamina width, length and leaf area were measured to develop the model. The actual leaf area of the cultivars were measured by PCOM Digital planimeter, and multiple regression analysis with Excel 7.0 computer package program was performed for the cultivars separately. The produced Leaf Area Prediction Model in the present study is LA=-22.45+2.59*W+4.76*L+0.36*Cv-0.23*L2+0.034*W* L2-0.002*Cv.* L2-(r2=0.9554) where LA is leaf area, W is leaf width, L is leaf length,Cv cultivar. In addition to model producing procedure, the model was validated using the residual values between predicted and measured leaf areas from new leaf samples of different cherry orchards. Coefficient of determination r2 values for the relationships between actual and predicted leaf areas of the tested cherry cultivars were found to be 0.9852, 0.9811, 0.989, 0.9856, 0.9894, 0.9841, 0.94, 0.9962, 0.9909, 0.9759, 0.9867 and 0.9913 for Husenba [1], Lambert (2], 0900 Ziraat [3], V: [4], Bing [5], Bella di Pistoia [6], Stella [7], Early Burlat (8], Karakirtik [9], Hafiz Ahmet [10], Abdullah [11] and Napolyon [12], respectively.
Page(s):
361-367
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Botany, Volume: 35, Issue: 3, Year: 2003