Abstract
Six leaf samplings were conducted in two sunflower (Helianthus annuus L.) hybrids during the 2006 growing season in order to evaluate a simple model proposed for leaf area (LA) estimation. A total of 144 leaves were processed using an image analysis system and LA, maximum leaf width (W) [cm], and midvein length (L) [cm] were measured. Also, LA was estimated using the model proposed by Rouphael et al. (2007). Measured LA was exponentially related with L and W, and the W-LA relationships showed higher r 2. Estimated LA was strongly and exponentially related with L. Strong, linear relationships with high r 2 between estimated and measured LA confirmed the high predictability of the proposed model.
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Abbreviations
- ANOVA:
-
analysis of variance
- CV:
-
coefficient of variation
- L:
-
leaf midvein length
- LA:
-
leaf area
- LAI:
-
leaf area index
- LSD:
-
least significant difference
- W:
-
maximum leaf width
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Tsialtas, J.T., Maslaris, N. Evaluation of a leaf area prediction model proposed for sunflower. Photosynthetica 46, 294–297 (2008). https://doi.org/10.1007/s11099-008-0052-6
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DOI: https://doi.org/10.1007/s11099-008-0052-6