Evaluation of a leaf area prediction model proposed for sunflower

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 r2. Estimated LA was strongly and exponentially related with L. Strong, linear relationships with high r2 between estimated and measured LA confirmed the high predictability of the proposed model. © 2008 Institute of Experimental Botany, ASCR.