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Improved model for the non-destructive estimation of strawberry leaf area

Published online by Cambridge University Press:  15 May 2005

Hüsnü Demirsoy
Affiliation:
Ondokuz Mays University, Faculty of Agriculture, Department of Horticulture, 55139 Kurupelit-Samsun, Turkey
Leyla Demirsoy
Affiliation:
Ondokuz Mays University, Faculty of Agriculture, Department of Horticulture, 55139 Kurupelit-Samsun, Turkey
Ahmet Öztürk
Affiliation:
Ondokuz Mays University, Faculty of Agriculture, Department of Horticulture, 55139 Kurupelit-Samsun, Turkey
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Abstract

Introduction. Non-destructive estimation of leaf area saves time as compared with geometric measurements. For this reason, several leaf area prediction models were produced for some plant species such as grape, avocado and kiwifruit in previous studies. In this research, we attempted to offer a reliable equation that predicts strawberry leaf area non-destructively by linear measurements of leaf geometry. Materials and methods. An equation was developed by using Sweet Charlie and Camarosa strawberry cultivars and by measuring lamina width, length and leaf area. Results and discussion. It was found that the relationships between the actual leaf area and the predicted leaf area given by the equation developed were significant at a level of 0.1% and that r2 was 0.993. In addition, the model was validated by measurements of new leaf areas of seven other strawberry cultivars. Conclusions. The model developed could be used for strawberries in relevant studies.

Type
Research Article
Copyright
© CIRAD, EDP Sciences

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References

Centritto, M., Loreto, F., Massacci, A., Pietrini, F., Villani, M.C., Zacchine, M., Improved growth and water use efficiency of cherry saplings under reduced light intensity, Ecol. Res. 15 (4) (2000) 385392. CrossRef
Gottschalk, K.W., Shade, leaf growth and crown development of Quercus rubra, Quercus velutina, Prunus serotina and Acer rubrum seedlings, Tree Physiol. 14 (7–9) (1994) 735749. CrossRef
Horsley, S.B., Gottschalk, K.W., Leaf area and net photosynthesis during development of Prunus serotina seedlings, Tree Physiol. 12 (1) (1993) 5569. CrossRef
Kerstiens, G., Hawes, C.W., Response of growth and carbon allocation to elevated CO2 in young cherry (Prunus avium L.) saplings in relation to root environment, New Phytol. 128 (4) (1994) 607614. CrossRef
Picchioni, G.A., Weinbaum, S.A., Brown, P.H., Retention and the kinetics of uptake and export of foliage-applied, labeled boron by apple, pear, prune, and sweet cherry leaves, J. Am. Soc. Hortic. Sci. 120 (1) (1995) 2835.
Uzun S., The quantitative effects of temperature and light environment on the growth, development and yield of tomato (Lycopersicon esculantum Mill.) and aubergine (Solanum melongena L.), Univ. Reading, thesis, Reading, UK, 1996, 226 p.
Rieger, M., Duemmel, M.J., Comparison of drought resistance among Prunus species from divergent habitats, Tree Physiol. 11 (4) (1992) 369380. CrossRef
Gamiely, S., Randle, W.M., Mills, H.A., Smittle, D.A., A rapid and non-destructive method for estimating leaf area of onions, HortScience 26 (2) (1991) 206.
NeSmith D.S., Non-destructive leaf area estimation of rabbiteye blueberries, HortScience 26 (10) (1991)1332.
NeSmith, D.S., Estimating summer squash leaf area non-destructively, HortScience 27 (1) (1992) 77.
Robbins, N.S., Pharr, D.M., Leaf area prediction models for cucumber from linear measurements, HortScience 22 (6) (1987) 12641266.
Elsner, E.A., Jubb, G.L. Jr., Leaf area estimation of Concord grape leaves from simple linear measurements, Am. J. Enol. Viticult. 39 (1) (1988) 9597.
Tamal, S., Opadhyay, A.B., Chattopadhyay, T.K., Pranab, G., A nondestructive way of estimating leaf area in Cape gooseberry (Physalis peruviana), Prog. Hortic. 20 (3–4) (1988) 324325.
Whitworth, J.L., Mauromoustakos, A., Smith, M.W., A non-destructive method for estimation of leaf area in pecan, HortScience 27 (7) (1992) 851.
Uzun, S., Çelik, H., Leaf area prediction models (uzçelik-1) for different horticultural plants, Turk J. Agric. For. 23 (1999) 645650.
Mandal, K.K., Ghosh, S.K., Gayen, P., A non-destructive way of leaf area estimation in the strawberry, Ann. Biol. 18 (1) (2002) 1924.
Çelik, H., Uzun, S., Validation of leaf area estimation models (Uzçelik-1) evaluated for some horticultural plants, Pak. J. Bot. 34 (1) (2002) 4146.