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Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi

Year 2009, Volume: 22 Issue: 1, 83 - 89, 01.06.2009

Abstract

Bitkilerin alanının belirlenmesinde kullanılan basit, doğru ve bitkiye zarar vermeyen yöntemler, birçok deneysel karşılaştırmada önemli yer tutmaktadır. Karanfil bitkisinin (Dianthus caryophyllos L.) yaprak alanının (LA) belirlenmesi, yaprak eni ve boyunun ölçülmesine dayanmaktadır. Bu çalışmada kullanılan veriler sera koşullarında yetiştirilen iki farklı karanfil çeşidinden deneme sonunda alınmıştır. Araştırmanın temel amacı karanfil bitkisinin yaprak alanının tahmininde kullanılabilecek en doğru yöntemi belirlemektir. Belirlenen yöntemlerle yaprak alanı, bitkiye zarar vermeden ve pahalı aletler kullanmadan tahmin edilebilecektir. Aynı zamanda yetiştirme sezonu boyunca aynı yaprak üzerinde ölçümlerin alınması da mümkün olabilecektir

References

  • Asner, G.P., Scurlock, J.M.O., Hicke, J.A. 2003. Global synthesis of leaf area index observations: implication for ecological and remote sensing studies. Global Ecology & Biogeography, 12, 191-205.
  • Bange, M.P., Hammer, G.L., Milroy, S.P., Rickert, K.G. 2000. Improving estimates of individual leaf area of sunflower. Agronomy J. 92, 761-765.
  • Blanco, F.F., Folegatti, M.V. 2003. A new method for estimating the leaf area index of cucumber and tomato plants. Hortic. Bras., 21(4), 666-669.
  • Breda, N.J.J. 2003. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J. of Experimental Botany, 54, 2403-2417.
  • Doorenbos, J. and Pruitt, W.O. 1977. Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper No: 24, Rome, p.144.
  • Elings, A. 2000. Estimation of leaf area in tropical maize. Agronomy J., 92, 436-444.
  • Gomez, K.A. and Gomez, A.A. 1984. Statistical procedures for agricultural research. In: An. Int. Rice Res. Inst. Book. John Wiley and Sons Inc., New York, p.680.
  • Loague, K. and Green, R.E., 1991. Statistical and graphical methods for evaluating solute transport models: Overview and application. J. Contam. Hydrol., 7, 51-73.
  • Lu, H.Y., Lu, C.T., Wei, M.L., Chan, L.T. 2004. Comparisons of different models for nondestructive leaf area estimation in taro. Agronomy J., 96, 448-453.
  • Serdar, U. and Demirsoy, H. 2006. Non-destructive leaf area estimation in chestnut. Scientia Horticulturae, 108, 227-230.
  • Uzun, S. and Çelik, H. 1999. Leaf area prediction models (Uzçelik-I) for different horticultural crops. Tr. J. of Agriculture and Forestry, 23, 645- 650.
  • Walsh, S. and Diamond, D., 1995. Non-linear curve fitting using Microsoft Excel Solver. Talanta 42 (4), 561–572.
  • Watson, D.J. 1947. Comparative physiological studies in the growth of field crops. I. Variation in net assimilation rate and leaf area between species and varieties and within and between years. Ann. Bot., 11, 41-76.

NON-DESTRUCTIVE LEAF AREA ESTIMATION IN CARNATION PLANTS

Year 2009, Volume: 22 Issue: 1, 83 - 89, 01.06.2009

Abstract

Simple, accurate, and nondestructive methods of determining leaf area of plants are important for many experimental comparisons. Determining individual leaf area (LA) of carnation (Dianthus caryophyllos L.) can involve measuring leaf length (L) and width (W). Data were collected from experiments of two carnation cultivars grown under greenhouse condition at the end of the experiment. The objective of this field study was to determine the most precise model to predict the area of individual leaves of carnation plants. With these models, estimating carnation leaf area could be done without the use of expensive instruments and destructing the leaves of the plant. It is also possible to carry out the measurements on the same leaves throughout the growing period.

References

  • Asner, G.P., Scurlock, J.M.O., Hicke, J.A. 2003. Global synthesis of leaf area index observations: implication for ecological and remote sensing studies. Global Ecology & Biogeography, 12, 191-205.
  • Bange, M.P., Hammer, G.L., Milroy, S.P., Rickert, K.G. 2000. Improving estimates of individual leaf area of sunflower. Agronomy J. 92, 761-765.
  • Blanco, F.F., Folegatti, M.V. 2003. A new method for estimating the leaf area index of cucumber and tomato plants. Hortic. Bras., 21(4), 666-669.
  • Breda, N.J.J. 2003. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J. of Experimental Botany, 54, 2403-2417.
  • Doorenbos, J. and Pruitt, W.O. 1977. Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper No: 24, Rome, p.144.
  • Elings, A. 2000. Estimation of leaf area in tropical maize. Agronomy J., 92, 436-444.
  • Gomez, K.A. and Gomez, A.A. 1984. Statistical procedures for agricultural research. In: An. Int. Rice Res. Inst. Book. John Wiley and Sons Inc., New York, p.680.
  • Loague, K. and Green, R.E., 1991. Statistical and graphical methods for evaluating solute transport models: Overview and application. J. Contam. Hydrol., 7, 51-73.
  • Lu, H.Y., Lu, C.T., Wei, M.L., Chan, L.T. 2004. Comparisons of different models for nondestructive leaf area estimation in taro. Agronomy J., 96, 448-453.
  • Serdar, U. and Demirsoy, H. 2006. Non-destructive leaf area estimation in chestnut. Scientia Horticulturae, 108, 227-230.
  • Uzun, S. and Çelik, H. 1999. Leaf area prediction models (Uzçelik-I) for different horticultural crops. Tr. J. of Agriculture and Forestry, 23, 645- 650.
  • Walsh, S. and Diamond, D., 1995. Non-linear curve fitting using Microsoft Excel Solver. Talanta 42 (4), 561–572.
  • Watson, D.J. 1947. Comparative physiological studies in the growth of field crops. I. Variation in net assimilation rate and leaf area between species and varieties and within and between years. Ann. Bot., 11, 41-76.
There are 13 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Engineering
Journal Section Articles
Authors

K. Aydınşakir This is me

D. Büyüktaş This is me

Publication Date June 1, 2009
Published in Issue Year 2009 Volume: 22 Issue: 1

Cite

APA Aydınşakir, K., & Büyüktaş, D. (2009). Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi. Akdeniz University Journal of the Faculty of Agriculture, 22(1), 83-89.
AMA Aydınşakir K, Büyüktaş D. Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi. Akdeniz University Journal of the Faculty of Agriculture. June 2009;22(1):83-89.
Chicago Aydınşakir, K., and D. Büyüktaş. “Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi”. Akdeniz University Journal of the Faculty of Agriculture 22, no. 1 (June 2009): 83-89.
EndNote Aydınşakir K, Büyüktaş D (June 1, 2009) Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi. Akdeniz University Journal of the Faculty of Agriculture 22 1 83–89.
IEEE K. Aydınşakir and D. Büyüktaş, “Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi”, Akdeniz University Journal of the Faculty of Agriculture, vol. 22, no. 1, pp. 83–89, 2009.
ISNAD Aydınşakir, K. - Büyüktaş, D. “Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi”. Akdeniz University Journal of the Faculty of Agriculture 22/1 (June 2009), 83-89.
JAMA Aydınşakir K, Büyüktaş D. Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi. Akdeniz University Journal of the Faculty of Agriculture. 2009;22:83–89.
MLA Aydınşakir, K. and D. Büyüktaş. “Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi”. Akdeniz University Journal of the Faculty of Agriculture, vol. 22, no. 1, 2009, pp. 83-89.
Vancouver Aydınşakir K, Büyüktaş D. Karanfil Bitkisinde Yaprak Alanının Bitkiye Zarar Vermeden Tahmin Edilmesi. Akdeniz University Journal of the Faculty of Agriculture. 2009;22(1):83-9.