Nondestructive and mathematical approaches by modeling are very convenient and useful for estimating plant growth even though their accuracy should be verified by all means. Models for predicting total leaf area and shoot fresh and dry weights of toma...
Nondestructive and mathematical approaches by modeling are very convenient and useful for estimating plant growth even though their accuracy should be verified by all means. Models for predicting total leaf area and shoot fresh and dry weights of tomato (Lycopersicon esculentum cv. Seokwang) were developed using plant height, leaf length, leaf width of tomato, and some combinations of these variables. Eighteen regression equations commonly used in developing growth models were compared in terms of accuracy and adaptability. Three nonlinear models as follows were developed; total leaf area (LA) = 449 ? 19.9 × H ? 22.2 ×W+1.55 × HW (R₂ = 0.956), shoot fresh weight (SFW) = 40.2 + 0.07 × HW (R₂ = 0.939), and shoot dry weight (SDW) = 0.43 ? 0.09 × H + 0.003 × H2 (R₂ = 0.857), where H = plant height, W = leaf width, and HW = H ×W. In model validation, estimated total leaf area and shoot fresh and dry weights showed good agreements with measured ones, respectively. Shoot fresh weight was highly correlated with shoot dry weight. It is concluded that these models can estimate the total leaf area and shoot fresh and dry weights of tomato accurately.