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http://dx.doi.org/10.12791/KSBEC.2016.25.3.146

Estimation of Leaf Area, Leaf Fresh Weight, and Leaf Dry Weight of Irwin Mango Grown in Greenhouse using Leaf Length, Leaf Width, Petiole Length, and SPAD Value  

Jung, Dae Ho (Department of Plant Science, Seoul National University)
Cho, Young Yeol (Major of Horticultural Science, Jeju National University)
Lee, Jun Gu (Department of Horticulture, Chonbuk National University)
Son, Jung Eek (Department of Plant Science, Seoul National University)
Publication Information
Journal of Bio-Environment Control / v.25, no.3, 2016 , pp. 146-152 More about this Journal
Abstract
Due to complicate canopy structures of Irwin mangoes grown in greenhouses, it is difficult to determine their growth parameters accurately. Leaf area, leaf fresh weight, and leaf dry weight are widely used as indicators to diagnose the tree growth. Therefore, it is necessary to establish models that can non-destructively estimate these growth indicators. The objective of this study was to establish regression models to estimate leaf area, leaf fresh weight, and leaf dry weight of Irwin mangoes (Mangifera indica L. cv. Irwin) by using leaf length, leaf width, petiole length, and SPAD value. The input values of leaf length, leaf width, petiole length, and SPAD value of 6-year old Irwin mangoes were measured, and the corresponding output values of leaf area, leaf fresh weight, and leaf dry weight were also measured. After 14 models were selected among the existing models, coefficients of the models were estimated by regression analysis. Three models with higher $R^2$ and lower RMSE values selected. In validation the $R^2$ values for the selected models were 0.967, 0.743, and 0.567 in the leaf area, leaf fresh weight, and leaf dry weight models, respectively. It is concluded that this models will be helpful to conveniently diagnose the growth of the Irwin mango.
Keywords
canopy structure; light interception; non-destructive method; regression model;
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1 Smart, R.E. 1985. Principles of grapevine canopy microclimate manipulation with implications for yield and quality: a review. American Journal of Enology and Viticulture 36:230-239.
2 Williams, L.E. 1987. Growth of 'Thompson Seedless' grapevines. I. Leaf area development and dry weight distribution. Journal of the American Society for Horticultural Science 112:325-330.
3 Yonemoto, Y. 2006. Tropical fruit. p. 100-106. In: the Japanese society for horticultural science (ed.). Horticulture in Japan 2006. Shoukadoh Publication, Kyoto.
4 An, M.R., Y.S. Keum, and S.K. Lee. 2015. Comparative analysis of volatile flavor compounds in Taiwan apple mango and Philippines carabao mango. Korean Journal of Food Science and Technology 47:191-197.   DOI
5 Antunes, W.C., M.F. Pompelli, D.M. Carretero, and F.M. DaMatta. 2008. Allometric models for non?destructive leaf area estimation in coffee (Coffea arabica and Coffea canephora). Annals of Applied Biology 153:33-40.   DOI
6 Blanco, F.F., and M.V. Folegatti. 2005. Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Scientia Agricola (Piracicaba, Braz.) 62:4.
7 Cho, Y.Y., S. Oh, M.M. Oh, and J.E. Son. 2007. Estimation of individual leaf area, fresh weight, and dry weight of hydroponically grown cucumbers (Cucumis sativus L.) using leaf length, width, and SPAD value. Scientia Horticulturae 111:330-334.   DOI
8 Confalonieri, R., M. Foi, R. Casa. S. Aquaro, E. Tona, M. Peterle, A. Boldini, G. De Carli, A. Ferrari, G. Finotto, T. Cuarneri, V. Manzoni, E. Movedi, A. Nisoli, L. Paleari, I. Radici, M. Suardi, D. Veronesi, S. Bregaglio, G. Cappelli, M.E. Chiodini, P. Dominoni, C. Francone, N. Frasso, T. Stella, and M. Acutis. 2013. Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods. Computers and Electronics in Agriculture 96:67-74.   DOI
9 Gamiely, S., W.M. Randle, H.A. Mills, and D.A. Smittle. 1991. A rapid and nondestructive method for estimating leaf area of onions. HortScience 26:206.
10 Honsho, C., M. Inada, K. Yuji, M. Tojiki, S. Kurogi, S. Kanzaki, and T. Tetsumura. 2012. Efficiency of hybrid formation by open-pollination of two cultivars in a closed plastic house and the effect of the male parent on fruit characteristics in mango. Journal of the Japanese Society for Horticultural Science 81:27-34.   DOI
11 Le Bail, M., M.H. Jeuffroy, C. Bouchard, and A. Barbottin. 2005. Is it possible to forecast the gran quality and yield of different varieties of winter wheat from Minolta SPAD meter measurements. European Journal of Agronomy 23:379-391.   DOI
12 Lee, J.W., J.N. Eom, W.H. Kang, J.H. Shin, and J.E. Son. 2013. Prediction of transpiration rate of lettuces (Lactuca sativa L.) in plant factory by Penman-Monteith model. Protected Horticulture and Plant Factory 22:182-187.   DOI
13 Lu, H.Y., C.T. Lu, M.L. Wei, and L.F. Chan. 2004. Comparison of different models for nondestructive leaf area estimation in taro. Agronomy Journal 96:448-453.   DOI
14 Montero, F.J., J.A. de Juan, A. Cuesta, and A. Brasa. 2000. Nondestructive methods to estimate leaf area in Vitis vinifera L. HortScience 35:696-698.
15 Naef, R., A. Velluz, and A. Jaquier. 2006. The perfume of carabao mangoes (Mangifera indica L.): Identification of uncommon unsaturated fatty acid esters in the SPME of the intact fruit. European Food Research and Technology 222:554-558.   DOI
16 O'neal, M.E., D.A. Landis, and R. Isaacs. 2002. An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. Journal of Economic Entomology 95:1190-1194.   DOI
17 Park, I.G., H.J. Yoon, M.A. Kim, K.Y. Lee, H.C. Park, and S.H. Kim. 2014. Effect on pollinating activities on mango flower by bumblebee (Bombus terrestris), honeybee (Apis mellifera) and oriental latrine fly (Chrysomyia megacephala) in green house. Journal of Apiculture 29:235-243.
18 Peksen, E. 2007. Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae 113: 322-328.   DOI
19 Serdar, U and H. Demirsoy. 2006. Non-destructive leaf area estimation in chestnut. Scientia Horticulturae 108:227-230.   DOI
20 Sinoquet, H., S. Thanisawanyangkura, H. Mabrouk, and P. Kasemsap. 1998. Characterization of the light environment in canopies using 3D digitising and image processing. Annals of Botany 82:203-212.   DOI