A model to estimate medlar (Mespilus germanica) leaf area across genotypes was obtained by means of linear measurements in 2005-06

BIGNAMI, Cristina

CRISTOFORI V.

FALLOVO C.

MENDOZA DE GYVES R. Y.

ROUPHAEL Y.

English

Archivio istituzionale della ricerca - Università di Modena e Reggio Emilia

223Adv. Hort. Sci., 2008  22(3): 223-226Received for publication 19 September 2007.Accepted for publication 7March 2008.Short noteAccurate and rapid technique for leaf areameasurement in medlar (Mespilus germanica L.)E. Mendoza-de Gyves*, V. Cristofori*, C. Fallovo*, Y. Rouphael*, C. Bignami*** D i p a rtimento di Produzione Vegetale, Università della Tuscia, Via S. Camillo de Lellis, 011 0 0Viterbo, Italy.* * D i p a rtimento di Scienze Agrarie, Università degli Studi di Modena e Reggio Emilia, Vi a l eK e n n e d y, 17, 42100 Reggio Emilia, Italy.Key words: calibration, leaf area, Mespilus germanica L., model, validation.Abstract: Accurate measurements of leaf area are important for agronomic and physiological studies. Deter-mining the individual leaf area (A) of medlar (Mespilus germanica L.) involves measurements of leaf parameters,such as length (L) and width (W), or some combinations of these parameters. A two-year investigation was car-ried out in 2005 (on seven genotypes) and in 2006 (on one cultivar) underopen-field conditions to test whether amodel could be developed to estimate leaf area across genotypes. Regression analyses of A versus Land W revea-led several models could be used for estimating the area of individual medlar leaves. A linear model having LWas the independent variable (A = 1.81 + 0.68 LW) provided the most accurate estimate (R2 = 0.981, MSE = 7) ofmedlar leaf area. Validation of the model having LW of leaves from another genotype measured in the 2006 expe-riment showed that the correlation between calculated and measured areas was very high. Using the selectedmodel, agronomists and physiologists can accurately and reliably estimate the leaf area of medlarwithout the useof expensive instruments. 1. IntroductionThe leaf area of a crop is a determinant factor inmechanisms such as radiation interception, water andenergy exchange, growth and yield potential. Therefo-re, accurate measurements of leaf area (A) are essentialto understand the interaction between crop growth andenvironment (de Jesus et al., 2001). The total leaf areaof the plant can be obtained either by direct or indirectmeasurements. The direct method consists of removingall leaves from the plant and measuring them. Thismethod is destructive and requires adequate, potential-ly expensive equipment. Indirect methods, instead, arenon-destructive, less expensive, and can provide accu-rate leaf area estimates (Norman and Campbell, 1989).Indirect methods are useful when suitable equipment isnot available or non-destructive measurements arerequired, for example measurements carried out onplants growing in pots of controlled experiments orwhen using unique plants, as in genetically segregatingpopulations. One of the most frequently used non-destructive and indirect methods is estimating leaf areafrom mathematical equations involving linear measure-ment such as leaf length, or leaf width, or some combi-nation of these variables, which are generally chosenfor their simplicity and accuracy (Blanco and Folegat-ti, 2003). Leaf area has been found to be related tolinear leaf dimensions, which are used in many crops toestimate leaf area (Uzun and Celik, 1999; Kandiannanet al., 2002; Lu et al., 2004).Various combinations of measurements and variousmodels relating length and width to area have beendeveloped for several fruit trees, such as avocado(Uzun and Celik, 1999), pistachio (Ranjbar andDamme, 1999), grape (Montero et al., 2000; Williamsand Martinson, 2003), cherry (Demirsoy and Demir-soy, 2003), peach (Demirsoy et al., 2004), chestnut(Serdar and Demirsoy, 2006), Actinidia deliciosa(Mendoza-de Gyves et al., 2007) and hazelnut (Cri-stofori et al., 2007), while information on the estima-tion of medlar (Mespilus germanica L.) leaf areas isstill lacking.The accuracy of the predictions is dependent on thevariation of leaf shape between genotypes. Since leafshape (length:width ratio) may vary among differentgenetic materials (Stoppani et al., 2003), a good model224of non-destructive leaf area estimation is needed for thephysiological study of medlar plants independently ofthe genetic materials.Therefore, the aims of this study were: (1) to deve-lop a model for leaf area prediction from linear measu-rements of leaf length and width in medlar that wasable to accommodate the effect of changes in leaf shapebetween genotypes and able to be used for medlarplants of all accessions without recalibration and (2) toassess the robustness of the model on an independentset of data from another genotype grown under diffe-rent environmental conditions.2. Materials and MethodsData collectionEight medlar (Mespilus germanica L.) genotypes,including five cultivars (Goccia, Gigante, Comune,Precoce, and Reale) and three local genotypes (Nespo-lo d’Olanda, Nespolo di Castelraniero, and Selvatico)were used to develop a leaf area prediction model.Wide varieties of fully expanded leaf samples collectedon spurs and on the middle part of shoots were used.Leaves varied in size from large to small for eachgenotype and were selected randomly from differentlevels of the canopy ranging between 1 and 2 m fromthe soil, during the summer growing season in 2005and 2006. The age of the trees was of 15 years for‘Goccia’, ‘Gigante’, ‘Comune’, ‘Precoce’, and ‘Reale’and varied between 20-25 years for ‘Nespolo d’Olan-da’, ‘Nespolo di Castelraniero’, and ‘Selvatico’.Model buildingA total of 2819 medlar leaves (about 400 leaves pergenotype) were measured for leaf area (A), length (L)and width (W) in the model building experimentcoming from seven genotypes: Gigante, Comune, Pre-coce, Reale, Nespolo d’Olanda, Nespolo di Castelra-niero and Selvatico under field conditions at the Expe-rimental Farm of Tuscia University, central Italy (lat.42º25’N, long. 12º08’E) during the 2005 growing sea-son. The trees were spaced 4 m x 2 m giving a plantdensity of 1250 plants ha-1.Immediately after cutting, leaves were placed inplastic bags and were transported on ice to the labora-tory. Leaf L was measured from lamina tip to the pointof intersection of the lamina and the petiole, along themidrib of the lamina, while leaf W was measured fromend-to-end between the widest lobes of the lamina per-pendicular to the lamina mid-rib. Values of L and Wwere recorded to the nearest 0.1 cm. The area of eachleaf (A) was measured using an area meter (LI-3100;LICOR, Lincoln, NE, USA) calibrated to 0.01 cm2.The dependent variable (A) was regressed with dif-ferent independent variables, including L, W, L2, W2,and the product L x W. Mean Square Error (MSE) andthe values of the coefficients (b) and constants (a) werealso reported, and the final model was selected basedon the combination of the highest coefficient of deter-mination (R2) and the lowest MSE. These statisticswere applied to each individual genotype and to com-bined data points of all genotypes for each model.Model validationTo validate the developed model and to increasepractical applicability in different environmental con-ditions, a validation experiment was conducted in thesummer 2006 on leaf samples of ‘Goccia’ grown at theExperimental Farm of Lago di Vico, central Italy. Thisgenotype was selected as one of the most representati-ve medlar genotype cultivated in Italy. The trees werespaced at 4 m x 4 m giving a plant density of 625 plantsha-1.To validate the model, on about 400 leaves of ‘Goc-cia’, the actual leaf area and leaf width and length weredetermined by the previously described procedures.Leaf area of individual leaves was predicted using thebest model from the calibration experiment (modelbuilding) and was compared with the actual leaf area.The slope and intercept of the model were tested to seeif they were significantly different from the slope andintercept of the 1:1 correspondence line (Dent andBlackie, 1979). Regression analyses were conductedusing the SigmaPlot 8.0 package (SigmaPlot, Rich-mond, California, USA).3. Results and DiscussionOne of leaf shape traits is the length:width ratio(L:W). In the current experiment, significant differen-ces (P < 0.05) were recorded on L:W ratio amonggenotypes (Table 1). ‘Gigante’and ‘Comune’producedthe largest leaves (L:W ratio ranged from 2.12 to 2.14);‘Nespolo di Castelraniero’, ‘Selvatico’ and ‘Precoce’had narrow leaves (L:W ratio ranged from 2.57 to2.60), while ‘Reale’, ‘Nespolo d’Olanda’ and ‘Goccia’exhibited an intermediate leaf shape value (L:W ratioranged from 2.21 to 2.47) (Table 1). GiganteComunePrecoceRealeNespolo d’OlandaNespolo di CastelranieroSelvaticoGocciaGenotypes2.12 (0.016) (y)2.14 (0.012)2.60 (0.016)2.21 (0.013)2.38 (0.014)2.57 (0.017)2.56 (0.016)2.47 (0.017)L:W R2 (z) MSE (z)0.8000.7500.7200.7440.8050.7890.8070.8670.960.921.101.090.920.960.810.93Table 1 - Leaf shape (length: width ratio) values for individual medlargenotypes(z) Coefficient of determination (R2) and mean square errors (MSE, incm2) of the linear regression between leaf width (W) and leaf length(L).(y) Standar errors in parentheses.225Model calibrationLeaf W, leaf L and functions of these dimensionswere significantly (P < 0.001) correlated with A ( Ta b l e2). When A was regressed with L or W alone (Models1 and 2), a curvilinear relationship was obtained. Alinear relationship was found between A and L x W,and between A and L2 or W2 (Models 3, 4 and 5).Except for Model 1, all models produced a coeff i c i e n tof determination (R2) equal to or greater than 0.91( Table 2). Based on the selection criteria previouslydescribed (higher R2 and lower MSE), this studydemonstrated that models with a single measurementof L (Models 1 and 4, Table 2) were less acceptable forestimating leaf area, due to their lowest coefficient ofdetermination and higher MSE values. An improve-ment was possible for single LA estimation when W2was used as independent variable (Model 5). To find amodel to predict single leaf area accurately for plantsof all genotypes, the product of L x W was used asindependent variable (Model 3). We preferred thislinear model for its accuracy (smallest MSE and thehighest R2, Table 2). Therefore, both L and W m e a s u-rements were necessary to estimate medlar leaf areaa c c u r a t e l y. The shape coefficient (slope of Model 3)can be described by a shape between an ellipse (0.78)and a triangle (0.5) of the same length and maximumwidth. Our shape coefficient (0.68) agreed closelywith those calculated for other fruit trees. Values of0.59 have been reported for Vitis vinifera L. (Monteroet al., 2000) and 0.74 for hazelnut (Cristofori et al. ,2007). Moreover, results of the present study were inaccordance with previous studies on establishing relia-ble equations for predicting leaf area through measu-ring leaf dimensions. Leaf area estimation models insome species of fruit trees such as cherry (Demirsoyand Demirsoy, 2003), peach (Demirsoy et al., 2004)and pistachio (Ranjbar and Damme, 1999) were deve-loped using leaf length and width as performed in ours t u d y. These models can also easily be used in physio-logical and agronomical studies.Possible genotype differences using the selectedmodel were analyzed. Slopes of the genotypes wereslightly different (Table 3). However, when leaf areaestimations using an equation derived for a single cul-tivar vs. the overall model were compared. They werenot significantly different. These results suggest that a“universal” leaf area estimation model for medlar isplausible, unless other genotypes differ greatly in leafmorphology from those used in this experiment.Model validationComparisons between measured vs. calculated leafarea using Model 3 (A = 1.81 + 0.68 LW) for the vali-dation set derived from the 2006 experiment on ‘Goc-cia’ showed a high degree of correlation and providedquantitative evidence of the validity of the area estima-tion model (Fig. 1). The regression line of the measu-red vs. calculated values were not significantly (P =0.68) different from the 1:1 correspondence. Moreover,the calculated values of A were very close to the mea-sured values, giving an underestimation of 1.6% in theprediction.12345Model no.Fitted coefficient and constantForm of model testeda b R2 (z) MSE (z)A= a + bLA= a + bWA= a + bLWA= a + bL 2A= a + bW 2-29.71 (0.49) (y)-23.07 (0.41)1.81 (0.10)2.02 (0.24)5.36 (0.21)6.28 (0.05)13.27 (0.09)0.68 (0.002)0.28 (0.002)1.39 (0.009)0.8990.9150.9810.9190.930413573329Table 2 - Fitted coefficient (b) and constant (a) values of the models used to estimate the medlar leaf area (A) of single leaves from length (L)and width (W) measurements (combined data for seven medlar genotypes)(z) Coefficient of determination (R2) and mean square errors (MSE, in cm2) of the various models are also given. All data were derived from thecalibration Experiment 2005 (n= 2819 leaves).(y) Standar errors in parentheses, L and W were in cm.GiganteComunePrecoceRealeNespolo d’OlandaNespolo di CastelranieroSelvaticoGenotypesFitted coefficient and constanta b R2 (z) MSE (z)4.20 (0.73)3.02 (0.43)2.36 (0.45)2.41 (0.46)1.85 (0.26)1.60 (0.22)2.73 (0.28)0.66 (0.008)0.65 (0.007)0.67 (0.009)0.68 (0.011)0.68 (0.008)0.69 (0.008)0.61 (0.012)0.9710.9620.9760.9690.9700.9670.9528764322Table 3 - Fitted coefficient (b) and constant (a) values for individual medlar genotypes using the model A= a + bLW, where A is the leaf area ofsingle leaves, and LW is the product of length and width measurements(z) Coefficient of determination (R2) and mean square errors (MSE, in cm2). All data were derived from the calibration Experiment 2005.(y) Standar errors in parentheses, Land W were in cm.226To summarize, we can conclude that the length-width model (i.e. Model 3) can provide accurate esti-mations of medlar leaf area across genotypes and envi-ronments. With this model, agronomists and physiolo-gists can estimate, accurately and in large quantities,the leaf area of medlar plants.ReferencesBLANCO F.F., FOLEGATTI M.V., 2003 - A new method for esti -mating the leaf area index of cucumber and tomato plants. -Horticultura Brasileira, 21(4): 666-669.CRISTOFORI V., ROUPHAEL Y., MENDOZA-DE GYVES E.,BIGNAMI C., 2007 - A simple model for estimating leaf areaof hazelnut from linear measurements. - Scientia Horticulturae,113: 221-225.DE JESUS W.C. 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Plant physiological ecology.Field methods and instrumentation. - Chapman and Hall, Lon-don and New York, pp. 457.RANJBAR A., DAMME P., 1999 - Estimation of leaf area by non-destructive methods in three Iranian pistachio species (Pistaciamutica subsp. Cabulica, Pistacia khinjuk subsp. Oblonda andPistacia khinjuk subsp. Populifolia). - Mededelingen-FaculteitLandbouwkundige en Toegepaste Biologische WtenschappenUniversiteit Gent, Belgium.SERDAR U., DEMIRSOY H., 2006 - Non-destructive leaf areaestimation in chestnut. - Scientia Horticulturae, 108: 227-230.STOPPANI M.I., WOLF R., FRANCESCANGELI N., MARTÍH.R.,2003 - A nondestructive and rapid method for estimatingleaf area of broccoli. - Adv. Hort. Sci., 17(3): 173-175.UZUN S., CELIK H., 1999 - Leaf area prediction models for dif -ferent horticultural plants. - Turkish Journal of AgriculturalForestry, 23: 645-650.WILLIAMS L., MARTINSON T.E., 2003 - Nondestructive leafarea estimation of ‘Niagara’ and ‘DeChaunac’ grapevines. -Scientia Horticulturae, 98: 493-498.Fig. 1 - Measured vs. calculated values of single leaf area of ‘Goccia’during 2006 (validation experiment) using Model 3 [A= 1.81+ 0.68 LW], where A is individual leaf area (cm2) and LW isthe product of leaf length (cm) x leaf width (cm). Solid line:linear regression line of Model 3; dotted line: the 1:1 relation-ship between the measured and calculated values.

Accurate and rapid technique for leaf area measurment in medlar (Mespilus germanica L.)

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Accurate and rapid technique for leaf area measurment in medlar (Mespilus germanica L.)

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