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A simple and non-destructive model for individual leaf area estimation in citrus

Published online by Cambridge University Press:  04 October 2010

Renata Bachin Mazzini ,
Rafael Vasconcelos Ribeiro  and
Rose Mary Pio
Renata Bachin Mazzini*
Affiliation:
 Univ. Estadual Paulista ‘Júlio de Mesquita Filho’, Departamento de Produção Vegetal, Via de Acesso Prof. Paulo Donato Castellane s/n, 14884-900 Jaboticabal/SP, Brazil
Rafael Vasconcelos Ribeiro
Affiliation:
 Inst. Agron., Av. Barão de Itapura 1481, CP 28 13012-970 Campinas/SP, Brazil
Rose Mary Pio
Affiliation:
 Inst. Agron., Av. Barão de Itapura 1481, CP 28 13012-970 Campinas/SP, Brazil
*
* Correspondence and reprints
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Abstract

Introduction. Leaf area is often related to plant growth, development, physiology and yield. Many non-destructive models have been proposed for leaf area estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf area are closely correlated. Thus, the objective of our study was to develop a reliable model for leaf area estimation from linear measurements of leaf dimensions for citrus genotypes. Materials and methods. Leaves of citrus genotypes were harvested, and their dimensions (length, width and area) were measured. Values of leaf area were regressed against length, width, the square of length, the square of width and the product (length × width). The most accurate equations, either linear or second-order polynomial, were regressed again with a new data set; then the most reliable equation was defined. Results and discussion. The first analysis showed that the variables length, width and the square of length gave better results in second-order polynomial equations, while the linear equations were more suitable and accurate when the width and the product (length × width) were used. When these equations were regressed with the new data set, the coefficient of determination (R2) and the agreement index ‘d’ were higher for the one that used the variable product (length × width), while the Mean Absolute Percentage Error was lower. Conclusion. The product of the simple leaf dimensions (length × width) can provide a reliable and simple non-destructive model for leaf area estimation across citrus genotypes.

Keywords

BrazilCitrus sp.linear modelsleavesdimensionslengthwidthBrésilCitrus sp.modèle linéairefeuilledimensionlongueurlargeurBrasilCitrus sp.modelos linealeshojasdimensiónlarguraanchura
Type
Original article
Information
Fruits , Volume 65 , Issue 5 , September 2010 , pp. 269 - 275
Copyright
© 2010 Cirad/EDP Sciences

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References

Strik, B.C., Proctor, J.T.A., Estimating the area of trifoliate and unequally imparipinnate leaves of strawberry, HortScience 20 (1985) 1072–1074.Google Scholar
Peksen, E., Non-destructive leaf area estimation model for faba bean (Vicia faba L.), Sci. Hortic. 113 (2007) 322–328.CrossRefGoogle Scholar
Ribeiro, R.V., Machado, E.C., Some aspects of citrus ecophysiology in subtropical climates: re-visiting photosynthesis under natural conditions, Braz. J. Plant Physiol. 19 (2007) 393–411.CrossRefGoogle Scholar
Serdar, Ü., Demirsoy, H., Non-destructive leaf area estimation in chestnut, Sci. Hortic. 108 (2006) 227–230.CrossRefGoogle Scholar
Cristofori, V., Rouphael, Y., Mendoza-de Gyves, E., Bignami, C., A simple model for estimating leaf area of hazelnut from linear measurements, Sci. Hortic. 113 (2007) 221–225.CrossRefGoogle Scholar
Demirsoy, H., Leaf area estimation in some species of fruit tree by using models as a non-destructive method, Fruits 64 (2009) 45–51.CrossRefGoogle Scholar
Torri, S.I., Descalzi, C., Frusso, E., Estimation of leaf area in pecan cultivars (Carya illinoinensis), Cienc. Investig. Agrar. 36 (2009) 53–58.Google Scholar
Mendoza-de Gyves, E., Rouphael, Y., Cristofori, V., Mira, F.R., A non-destructive, simple and accurate model for estimating the individual leaf area of kiwi (Actinidia deliciosa), Fruits 62 (2007) 171–176.CrossRefGoogle Scholar
Williams III, L., Martinson, T.E., Nondestructive leaf area estimation of ‘Niagara’ and ‘DeChaunac’ grapevines, Sci. Hortic. 98 (2003) 493–498.CrossRefGoogle Scholar
Rouphael, Y., Mouneimne, A.H., Rivera, C.M., Cardarelli, M., Marucci, A., Colla, G., Allometric models for non-destructive leaf area estimation in grafted and ungrafted watermelon (Citrullus lanatus Thunb.), J. Food Agric. Environ. 8 (2010) 161–165.Google Scholar
Demirsoy, H., Demirsoy, L., Öztürk, A., Improved model for the non-destructive estimation of strawberry leaf area, Fruits 60 (2005) 69–73.CrossRefGoogle Scholar
Cristofori, V., Fallovo, C., Mendoza-de Gyves, E., Rivera, C.M., Bignami, C., Rouphael, Y., Non-destructive, analogue model for leaf area estimation in persimmon (Diospyros kaki L.F.) based on leaf length and width measurement, Eur. J. Hortic. Sci. 73 (2008) 216–221.Google Scholar
Fallovo, C., Cristofori, V., Mendoza-de Gyves, E., Rivera, C.M., Rea, R., Fanasca, S., Bignami, C., Sassine, Y., Rouphael, Y., Leaf area estimation model for small fruits from linear measurements, HortScience 43 (2008) 2263–2267.Google Scholar
Mendoza-de Gyves, E., Cristofori, V., Fallovo, C., Rouphael, Y., Bignami, C., Accurate and rapid technique for leaf area measurement in medlar (Mespilus germanica L.), Adv. Hortic. Sci. 22 (2008) 223–226.Google Scholar
Tsialtas, J.T., Koundouras, S., Zioziou, E., Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves, Photosynthetica 46 (2008) 452–456.CrossRefGoogle Scholar
Salerno, A., Rivera, C.M., Rouphael, Y., Colla, G., Cardarelli, M., Pierandrei, F., Rea, E., Saccardo, F., Leaf area estimation of radish from simple linear measurements, Adv. Hortic. Sci. 19 (2005) 213–215.Google Scholar
Rouphael, Y., Rivera, C.M., Cardarelli, M., Fanasca, S., Colla, G., Leaf area estimation from linear measurements in zucchini plants of different ages, J. Hortic. Sci. Biotechnol. 81 (2006) 238–241.CrossRefGoogle Scholar
Rivera, C.M., Rouphael, Y., Cardarelli, M., Colla, G., A simple and accurate equation for estimating individual leaf area of eggplant from linear measurements, Eur. J. Hortic. Sci. 72 (2007) 228–230.Google Scholar
Rouphael, Y., Colla, G., Fanasca, S., Karam, F., Leaf area estimation of sunflower leaves from simple linear measurements, Photosynthetica 45 (2007) 306–308.CrossRefGoogle Scholar
Fascella, G., Maggiore, P., Zizzo, G.V., Colla, G., Rouphael, Y., A simple and low-cost method for leaf area measurement in Euphorbia × lomi Thai hybrids, Adv. Hortic. Sci. 23 (2009) 57–60.Google Scholar
Rouphael, Y., Mouneimne, A.H., Ismail, A., Mendoza-de Gyves, E., Rivera, C.M., Colla, G., Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement, Photosynthetica 48 (2010) 9–15.CrossRefGoogle Scholar
Monteiro, J.E.B.A., Sentelhas, P.C., Chiavegato, E.J., Guiselini, C., Santiago, A.V., Prela, A., Estimação da área foliar do algodoeiro por meio de dimensões e massa das folhas, Bragantia 64 (2005) 15–24.CrossRefGoogle Scholar
Marquardt, D.W., Generalized inverse, ridge regression and biased linear estimation, Technometrics 12 (1970) 591–612.CrossRefGoogle Scholar
Gill, J.L., Outliers, residuals, and influence in multiple regression, J. Anim. Breed. Genet. 103 (1986) 161–175.CrossRefGoogle Scholar
Willmott, C.J., Rowe, C.M., Mintz, Y., Climatology of the terrestrial seasonal water cycle, Int. J. Climatol. 5 (1985) 589–606.CrossRefGoogle Scholar