Validation of a leaf area prediction model proposed for rose
2013
Leaf area (LA) is a valuable key for evaluating plant growth, therefore
accurate, simple, and nondestructive methods for LA determination are
important for physiological and agronomic studies. A LA prediction
model based on leaf length (L) and width (W) and developed under
greenhouse on 14 cultivars of rose ( Rosa hybr.*) was validated on a
different cultivar of R. hybrida ‘Red France’ and on a
wild rose species ( Rosa sempervirens L.) grown under open-field
conditions with two light environments: ambient and 50% shade.
Comparisons between measured vs. calculated LA using the following
model: LA (cm2) = 0.56 + 0.717 LW, showed a high degree of correlation
(R2 > 0.95) and provided quantitative evidence of the validity of
the LA prediction model. Calculated LA values were very close to the
measured values, giving an underestimation of 3.5%, 4.2%, 1.1%, and an
overestimation of 1.3% in the prediction for R. hybrida ambient light,
R. hybrida 50% shade, R. sempervirens ambient light, R. sempervirens
50% shade, respectively. This model can provide accurate estimations of
rose LA independently of the genetic materials and the growing
conditions and can be adopted in many experimental comparisons without
the use of any expensive instruments.
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