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Empirical Models Likely to Be Used to Estimate the Evapotranspiration of Oil Rose (Rosa damascena Mill.)

Year 2017, Volume: 12 Issue: 1, 1 - 10, 30.06.2017

Abstract

This study was carried out to determine the most suitable evapotranspiration estimate method of oil rose (Rosa damascena Mill.) at the Agricultural Research and Application Center at Süleyman Demirel University in 2010 and 2011. Irrigation was performed every 10 days, and irrigation water as much as 1.2 times of evaporation measured from the Class A Pan in the ten-day period was applied. Evapotranspiration was measured for ten-day periods through controlling the decrease in the soil moisture. The measured evapotranspirations were compared with Penman-Monteith, Original Penman, FAO-modified Penman, Priestly-Taylor, FAO-modified Radiation, FAO-modified Blaney-Criddle, SCS Blaney-Criddle, Hargreaves, FAO-modified Pan Evaporation, and Net Radiation methods out of the evapotranspiration estimation methods. The correlation coefficient (r), root mean square error (RMSE) and seasonal average crop coefficient (Kc) of the correlation between the measured evapotranspiration and estimated evapotranspiration values were taken into consideration in the comparison. As a result of the research, the closest evapotranspiration estimation for the experimental conditions was made with the Priestly-Taylor method.

References

  • Akgül, M. and L. Başayiğit, 2005. Süleyman Demirel Üniversitesi çiftlik arazisinin detaylı toprak etüdü ve haritalanması. SDÜ Fen Bilimleri Enstitüsü Dergisi, 9 (3): 1-10.
  • Allen, R.G., L.S. Pereira, D. Raes and M. Smith, 1998. Crop evapotranspiration - guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome. Anonymous, 2008. Süleyman Demirel Üniversitesi Gül ve Gül Ürünlerini Araştırma ve Uygulama Merkezi Raporları. Isparta.
  • Anonymous, 2010. Isparta Meteoroloji Bölge Müdürlüğü Raporları. Isparta. Burman, R. and L.O. Pochop 1994. Evaporation, evapotranspiration and climatic data. Development in atmospheric science. Elsevier, The Netherlands, 22:278.
  • Christiansen, J. E., 1968. Pan evaporation and evapotranspiration from climatic data. Journal of the Irrigation and Drainage Division. 94 (2): 243-266.
  • Guterman, I., M. Shalit, M. Naama, P. Dan, M. Dafny-Yelin, G. Shalev, E. Bar, O. Davydov, M. Ovadis, M. Emanuel, J. Wang, Z. Adam, E. Pichersky, E. Lewinsohn, D. Zamir, A. Vainstein and D. Weiss, 2002. Rose scent genomics approach to discovering novel floral fragrance–related genes. Plant Cell, 14 (10): 2325-2338
  • Jabbarzadeh, Z. and M. Khosh-Khui, 2005. Factors affecting tissue culture of Damask Rose (Rosa damascena Mill.). Scientia Horticulturae, 105 (4): 475-482.
  • Jensen, M. E., R.D. Burman and R.G. Allen, 1990. Evapotranspiration and irrigation water requirements, ASCE.
  • Kadayıfcı, A., G.T. Tuylu, Y. Ucar and B. Çakmak, 2004. Effects of mulch and irrigation water amounts on lettuce’s yield, evapotranspiration, transpiration and soil evaporation in Isparta Location, Turkey. Journal of Biological Sciences, 4: 751-755.
  • Keller, J. and R.D. Bliesner, 1990. Sprinkle and trickle irrigation, Van Nostrand, Reinhold.
  • Kovacheva, N., K. Rusanov. And I. Atanassov. 2010. Industrial cultivation of oil bearing rose and rose oil production in Bulgaria During 21st century, directions and challenges. Biotechnology & Biotechnological Equipment, 24 (2): 1793-1798.
  • Marti, P. and M. Zarzo, 2012. Multivariate statistical monitoring of ET0: A new approach for estimation in nearby locations using geographical inputs. Agricultural and Forest Meteorology, 152: 125-134.
  • Ortega-Farias, S., D. Irmak and R.H. Cuenca, 2009. Special issue on evapotranspiration measurement and modeling. Irrigation Sciences, 28 (1): 1-3.
  • Senapati, S. and G. Rout, 2008. Study of culture conditions for improved micro propagation of hybrid rose. Horticultural Science (Prague), 35 (1): 27-34.
  • Taş, I. and H. Kırnak, 2011. Yarı kurak iklim bölgelerinde bitki su tüketiminin tahmininde kullanılabilecek ampirik modeller. J of Adnan Menderes Univ Agric Faculty., 8 (1): 57-66.
  • Tucker A.O. and M. Maciarello, 1988. Nomenclature and chemistry of the Kazanlak damask rose and some potential alternatives from the horticultural trade of North America and Europe. In: Flavors and Fragrances: A World Perspective, Edits, Lawrence, B.M., Mookherjee, B.D. and Willis, B.J. Elsevier Sci. Publ. BV, 99-114 pp, Amsterdam.
  • USDA-SCS, 1967. Irrigation water requirements. Technical Release, USA, 21:160.

Yağ Gülünün (Rosa damascena Mill.) Bitki Su Tüketimi Tahmininde Kullanılabilecek Amprik Modeller

Year 2017, Volume: 12 Issue: 1, 1 - 10, 30.06.2017

Abstract

Bu
çalışma yağ gülünün (Rosa damascena
Mill.) bitki su tüketimi tahmininde kullanılabilecek en uygun tahmin eşitliğini
belirlemek amacıyla Süleyman Demirel Üniversitesi Tarımsal araştırma ve
uygulama merkezinde 2010 ve 2011 yıllarında yürütülmüştür. A sınıfı buharlaşma
kabından 10’ar günlük periyotta gerçekleşen buharlaşma toplamının 1.2 katı
kadar sulama suyu uygulanmıştır. Bitki su tüketimi 10’ar günlük periyotlarda
toprak nemi izlenerek belirlenmiştir. Ölçülen bitki su tüketimi, bitki su
tüketimi tahmin yöntemlerinden Penman-Monteith, orjinal Penman, modifiye
FAO-Penman, Priestly-Taylor, modifiye FAO-Radiation, FAO-modified
Blaney-Criddle, SCS Blaney-Criddle, Hargreaves, modifiye FAO-Pan Evaporation,
ve net radyasyon yöntemleri ile karşılaştırılmıştır. Ölçülen bitki su tüketimi
ile bitki su tüketimi tahmin yöntemleri arasındaki ilişkinin karşılaştırmada
korelasyon katsayısı (r), hata kareler ortalaması, (RMSE), sezonluk ortalama
bitki katsayısı (Kc) göz önüne alınmıştır. Araştırma sonucunda deneme
koşullarında Rosa damascena Mill.
İçin en uygun bitki su tüketimi tahmin eşitliğinin Priestly Taylor yöntemi
olduğu belirlenmiştir.

References

  • Akgül, M. and L. Başayiğit, 2005. Süleyman Demirel Üniversitesi çiftlik arazisinin detaylı toprak etüdü ve haritalanması. SDÜ Fen Bilimleri Enstitüsü Dergisi, 9 (3): 1-10.
  • Allen, R.G., L.S. Pereira, D. Raes and M. Smith, 1998. Crop evapotranspiration - guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome. Anonymous, 2008. Süleyman Demirel Üniversitesi Gül ve Gül Ürünlerini Araştırma ve Uygulama Merkezi Raporları. Isparta.
  • Anonymous, 2010. Isparta Meteoroloji Bölge Müdürlüğü Raporları. Isparta. Burman, R. and L.O. Pochop 1994. Evaporation, evapotranspiration and climatic data. Development in atmospheric science. Elsevier, The Netherlands, 22:278.
  • Christiansen, J. E., 1968. Pan evaporation and evapotranspiration from climatic data. Journal of the Irrigation and Drainage Division. 94 (2): 243-266.
  • Guterman, I., M. Shalit, M. Naama, P. Dan, M. Dafny-Yelin, G. Shalev, E. Bar, O. Davydov, M. Ovadis, M. Emanuel, J. Wang, Z. Adam, E. Pichersky, E. Lewinsohn, D. Zamir, A. Vainstein and D. Weiss, 2002. Rose scent genomics approach to discovering novel floral fragrance–related genes. Plant Cell, 14 (10): 2325-2338
  • Jabbarzadeh, Z. and M. Khosh-Khui, 2005. Factors affecting tissue culture of Damask Rose (Rosa damascena Mill.). Scientia Horticulturae, 105 (4): 475-482.
  • Jensen, M. E., R.D. Burman and R.G. Allen, 1990. Evapotranspiration and irrigation water requirements, ASCE.
  • Kadayıfcı, A., G.T. Tuylu, Y. Ucar and B. Çakmak, 2004. Effects of mulch and irrigation water amounts on lettuce’s yield, evapotranspiration, transpiration and soil evaporation in Isparta Location, Turkey. Journal of Biological Sciences, 4: 751-755.
  • Keller, J. and R.D. Bliesner, 1990. Sprinkle and trickle irrigation, Van Nostrand, Reinhold.
  • Kovacheva, N., K. Rusanov. And I. Atanassov. 2010. Industrial cultivation of oil bearing rose and rose oil production in Bulgaria During 21st century, directions and challenges. Biotechnology & Biotechnological Equipment, 24 (2): 1793-1798.
  • Marti, P. and M. Zarzo, 2012. Multivariate statistical monitoring of ET0: A new approach for estimation in nearby locations using geographical inputs. Agricultural and Forest Meteorology, 152: 125-134.
  • Ortega-Farias, S., D. Irmak and R.H. Cuenca, 2009. Special issue on evapotranspiration measurement and modeling. Irrigation Sciences, 28 (1): 1-3.
  • Senapati, S. and G. Rout, 2008. Study of culture conditions for improved micro propagation of hybrid rose. Horticultural Science (Prague), 35 (1): 27-34.
  • Taş, I. and H. Kırnak, 2011. Yarı kurak iklim bölgelerinde bitki su tüketiminin tahmininde kullanılabilecek ampirik modeller. J of Adnan Menderes Univ Agric Faculty., 8 (1): 57-66.
  • Tucker A.O. and M. Maciarello, 1988. Nomenclature and chemistry of the Kazanlak damask rose and some potential alternatives from the horticultural trade of North America and Europe. In: Flavors and Fragrances: A World Perspective, Edits, Lawrence, B.M., Mookherjee, B.D. and Willis, B.J. Elsevier Sci. Publ. BV, 99-114 pp, Amsterdam.
  • USDA-SCS, 1967. Irrigation water requirements. Technical Release, USA, 21:160.
There are 16 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Research
Authors

Yusuf Uçar This is me

Soner Kazaz This is me

Figen Eraslan İnal This is me

Hasan Baydar This is me

Publication Date June 30, 2017
Submission Date April 23, 2016
Acceptance Date August 7, 2018
Published in Issue Year 2017 Volume: 12 Issue: 1

Cite

APA Uçar, Y., Kazaz, S., Eraslan İnal, F., Baydar, H. (2017). Empirical Models Likely to Be Used to Estimate the Evapotranspiration of Oil Rose (Rosa damascena Mill.). Ziraat Fakültesi Dergisi, 12(1), 1-10.

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