Photosynthetica, 2011 (vol. 49), issue 4

Photosynthetica 2011, 49(4):637-640 | DOI: 10.1007/s11099-011-0069-0

Leaf area prediction for corn (Zea mays L.) cultivars with multiregression analysis

F. Oner1,*, M. S. Odabas2, I. Sezer1, F. Odabas3
1 Department of Field Crops, Faculty of Agriculture, Ondokuzmayis University, Samsun, Turkey
2 Bafra Vocational School, Ondokuzmayis University, Samsun, Turkey
3 Department of Horticulture, Faculty of Agriculture, Ondokuzmayis University, Samsun, Turkey

Leaf area is one of the most important parameter for plant growth. Reliable equations were offered to predict leaf area for Zea mays L. cultivars. All equations produced for leaf area were derived as affected by leaf length and leaf width. As a result of ANOVA and multiregression analysis, it was found that there was a close relationship between actual and predicted growth parameters. The produced leaf-area prediction model in the present study is LA = a + b L + c W + d LZ where LA is leaf area, L is leaf length, W is maximum leaf width, LZ is leaf zone and a, b, c, d are coefficients. R 2 values were between 0.88-0.97 and standard errors were found to be significant at the p<0.001 significance level.

Keywords: leaf area; multiregression analysis; Zea mays L.

Received: February 8, 2011; Accepted: July 30, 2011; Published: December 1, 2011Show citation

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Oner, F., Odabas, M.S., Sezer, I., & Odabas, F. (2011). Leaf area prediction for corn (Zea mays L.) cultivars with multiregression analysis. Photosynthetica, 49(4), 637-640. doi: 10.1007/s11099-011-0069-0.
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