Browse > Article
http://dx.doi.org/10.12791/KSBEC.2022.31.2.098

Estimation and Validation of the Leaf Areas of Five June-bearing Strawberry (Fragaria × ananassa) Cultivars using Non-destructive Methods  

Jo, Jung Su (Institute of Agricultural Science and Technology, Kyungpook National University)
Sim, Ha Seon (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Jung, Soo Bin (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Moon, Yu Hyun (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Jo, Won Jun (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Woo, Ui Jeong (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Kim, Sung Kyeom (Department of Horticultural Science, College of Agricultural & Life Science, Kyungpook National University)
Publication Information
Journal of Bio-Environment Control / v.31, no.2, 2022 , pp. 98-103 More about this Journal
Abstract
Non-destructive estimation of leaf area is a more efficient and convenient method than leaf excision. Thus, several models predicting leaf area have been developed for various horticultural crops. However, there are limited studies on estimating the leaf area of strawberry plants. In this study, we predicted the leaf areas via nonlinear regression analysis using the leaf lengths and widths of three-compound leaves in five domestic strawberry cultivars ('Arihyang', 'Jukhyang', 'Keumsil', 'Maehyang', and 'Seollhyang'). The coefficient of determination (R2) between the actual and estimated leaf areas varied from 0.923 to 0.973. The R2 value varied for each cultivar; thus, leaf area estimation models must be developed for each cultivar. The leaf areas of the three cultivars 'Jukhyang', 'Seolhyang', and 'Maehyang' could be non-destructively predicted using the model developed in this study, as they had R2 values over 0.96. The cultivars 'Arihyang' and 'Geumsil' had slightly low R2 values, 0.938 and 0.923, respectively. The leaf area estimation model for each cultivar was coded in Python and is provided in this manuscript. The estimation models developed in this study could be used extensively in other strawberry-related studies.
Keywords
leaf area estimation; non-destructive measurement; python;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Blanco F.F., and M.V. Folegatti 2005, Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Sci Agric 62:305-309. doi:10.1590/S0103-90162005000400001   DOI
2 Da Silva N.F., F.A. Ferreira, P.C.R. Fontes, and A.A. Cardoso 2015, Modelos para estimar a area foliar de abobora pormeio de medidas lineares. Ceres 45:259.
3 Keramatlou I., M. Sharifani, H. Sabouri, M. Alizadeh, and B. Kamkar 2015, A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Sci Hortic 184:36-39. doi:10.1016/j.scienta.2014.12.017   DOI
4 Rural Development Administration (RDA) 2022, Cultivars penetration rate of domestic strawberries. Available via https://www.rda.go.kr/board/board.do?mode=list&prgId=day_farmprmninfoEntry. Accessed 4 January 2022. (in Korean)
5 Salerno A., C.M. Rivera, Y. Rouphael, G. Colla, M. Cardarelli, F. Pierandrei, E. Rea, and F. Saccardo 2005, Leaf area estimation of radish from simple linear measurements. Adv Hort Sci 19:213-215.
6 Torri S.I., C. Descalzi, and E. Frusso 2009, Estimation of leaf area in pecan cultivars (Carya illinoinensis). Cienc Inv Agr 36:53-58. doi:10.4067/S0718-16202009000100004   DOI
7 Tsialtas J.T., and N. Maslaris 2005, Leaf area estimation in a sugar beet cultivar by linear models. Photosynthetica 43:477-479. doi:10.1007/s11099-005-0077-z   DOI
8 Uzun S., and H. Celik 1999, Leaf area prediction models (uzcelik-1) for different horticultural plants. Turk J Agric For 23:645-650.
9 VanRossum G., and F.L. Drake 2010, The python language reference. Python Software Foundation, Amsterdam, the Netherlands.
10 World strawberry growing area and yield, Food and Agriculture Organization Corporate Statistical Database (FAOSTAT). https://www.fao.org/statistics/en/. Accessed 17 February 2022.
11 Yun T., F. An, W. Li, Y. Sun, L. Cao, and L. Xue 2016, A novel approach for retrieving tree leaf area from ground-based LiDAR. Remote Sens 8:942. doi:10.3390/rs8110942   DOI
12 Olivera M., and M. Santos 1995, A semiempirical method to estimate canopy leaf area of vineyards. Am J Enol Viticult 46:389-391.
13 Pradal C., S. Dufour-Kowalski, F. Boudon, C. Fournier, and C. Godin 2008, OpenAlea: a visual programming and component-based software platform for plant modelling. Funct Plant Biol 35:751-760. doi:10.1071/FP08084   DOI
14 Robbins N.S., and D.M. Pharr 1987, Leaf area prediction models for cucumber from linear measurements. HortScience 22:1264-1266.   DOI
15 Syvertsen J.P., C. Goni, and A. Otero 2003, Fruit load and canopy shading affect leaf characteristics and net gas exchange of 'Spring' navel orange trees. Tree Physiol 13:899-906. doi:10.1093/treephys/23.13.899   DOI
16 Usenik V., J. Fabcic, and F. Stampar 2008, Sugars, organic acids, phenolic composition and antioxidant activity of sweet cherry (Prunus avium L.). Food Chem 107:185-192. doi:10.1016/j.foodchem.2007.08.004   DOI
17 Williams L.E. 1987, Growth of 'Thompson Seedless' grapevines. I. Leaf area development and dry weight distribution. J Amer Soc Hort Sci 112:325-330.   DOI
18 Hancock J.F. 2020, Strawberries. CABI Publication, New York. pp 1-3.
19 Demirsoy H., L. Demirsoy, and A. Ozturk 2005, Improved model for the non-destructive estimation of strawberry leaf area. Fruits 60:69-73. doi:10.1051/fruits:2005014   DOI
20 Guo D.P., and Y.Z. Sun 2001, Estimation of leaf area of stem lettuce (Lactuca sativa var angustana) from linear measurements. Indian J Agric Sci 71:483-486.
21 Korean Statistical Information Sercice (KOSIS) 2021, Strawberries production in Korea. Available via https://kosis.kr/index/index.do. Accessed 22 October 2021 (in Korean)
22 NeSmith D.S. 1991, Non-destructive leaf area estimation of rabbiteye blueberries. HortScience 26:1332.   DOI
23 Bhatt M., and S.V. Chanda 2003, Prediction of leaf area in phaseolus vulgaris by non-destructive method. Bulg J Plant Physiol 29:96-100.
24 Olfati J.A., G. Peyvast, H. Shabani, and R.Z. Nosratie 2010, An estimation of individual leaf area in cabbage and broccoli using non-destructive methods. J Agric Sci Technol 12: 627-632.
25 Astegiano C.D., J.C. Favaro, and C.A. Bouzo 2001, Analitico: Estimacion del area foliar en distintos cultivares de tomate (Lycopersicon esculentum Mill.) utilizando medidas foliares lineales. Investigacion Agraria 16:249-256.