Allometric model for nondestructive leaf area estimation in clary sage (Salvia sclarea L.)

Abstract

Leaf area estimation is an important biometrical observation recorded for evaluating plant growth in field and pot experiments. In this study, conducted in 2009, a leaf area estimation model was developed for aromatic crop clary sage (Salvia sclarea L.), using linear measurements of leaf length (L) and maximum width (W). Leaves from four genotypes of clary sage, collected at different stages, were used to develop the model. The actual leaf area (LA) and leaf dimensions were measured with a Laser Area meter. Different combinations of prediction equations were obtained from L, W, product of LW and dry mass of leaves (DM) to create linear (y = a + bx), quadratic (y = a + bx + cx 2 ), exponential (y = ae bx ), logarithmic (y = a + bLnx), and power models (y = ax b ) for each genotype. Data for all four genotypes were pooled and compared with earlier models by graphical procedures and statistical measures viz. Mean Square Error (MSE) and Prediction Sum of Squares (PRESS). A linear model having LW as the independent variables (y = -3.4444 + 0.729 LW) provided the most accurate estimate (R 2 = 0.99, MSE = 50.05, PRESS = 12.51) of clary sage leaf area. Validation of the regression model using the data from another experiment showed that the correlation between measured and predicted values was very high (R 2 = 0.98) with low MSE (107.74) and PRESS (26.96).

Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less

“…Our shape coefficient (0.68) showed similarity to those calculated for native species and crops. Values of 0.68 have been reported by S. pohlii, 0.70 for S. ferrugineus (Souza and Habermann, 2014), 0.72 for Rosa hybrida L. (Rouphael et al, 2010), 0.68 for Helianthus annuus L. (Rouphael et al, 2007), 0.69 for Diospyros kaki L. (Cristofori et al, 2008) and 0.73 for Salvia sclarea L. (Kumar and Sharma, 2010).…”

Non-destructive Method of Leaf Area Estimation for Oleander (Nerium oleander L.) Cultivated in the Iraqi Kurdistan Region

“…of the equations and low mean square of error (MSE), whereas, regarding the equations that used only one leaf dimension, the equation using leaf width (W) had the strongest relationship (p<0.0001) with LA, compare to equations depend on leaf length (L), square length (L 2 ) and square width (W 2 ). Kumar and Sharma (2010) found that linear model ( = −3.44 + 0.729 ) which depending length multiple width (LW) as independent variable gave more accurate estimation for saffron (Salvia sclarea L.) leaf area compared to other models. Many other researchers also reported that leaf area can be estimated by linear measurement such as leaf width and leaf length in plants, such as Cristofori, et al (2007), Mendoza-de Gyves, et al (2007), Peksen (2007) and Rivera, et al (2007) for developing simple and non-destructive models for estimating plant leaf area by using simple linear regression measurement.…”

Modeling Leaf Area Estimation for Arabica Coffee (&lt;i&gt;Coffea Arabica&lt;/i&gt; L.) Grown at Different Altitudes of Mana District, Jimma Zone

“…In order to validate the selected model, estimated LA was predicted using the developed model and the slopes of the regressions between observed LA and estimated LA were tested for their significant difference from the respective of the 1:1 correspondence line methods used by (Dent and Blackie, 1979 cited in [27].…”

“…The same product of linear dimensions were also successfully used to estimate leaf area, with good accuracy and excellent precision, in different agronomic species, such as [27] Tables 5-7). Dotted lines represent the 1:1 relationship between the predicted and measured values.…”

“…independent variable gave more accurate estimation of leaf area compared to other models. Many other researchers also reported that leaf area can be estimated by linear measurement such as leaf width and leaf length in plants, such as [25] LA = 0.463 + 0.676WL Vernonia ferruginea; [12] (LA = 0.03 + 0.71LW for raspberry, LA = 1.72 + 0.69LW for redcurrant, LA = 0.90 + 0.70LW for blackberry, LA = 0.58 + 0.72LW for gooseberry, and LA = 0.54 + 0.68LW for high bush blueberry, [27] hazelnut; [31] for faba bean (Viciafaba L.) and [32] for eggplant for developing simple and non-destructive models for estimating plant leaf area by using simple linear regression measurement. Also [33] found that the best fitting equations for estimating leaf area of oleander was (LA = −22.562 + 21.209W) and (LA = −22.226 + 2.978L) with 2 = 0.847 and 0.893 respectively.…”