Conference Paper
BibTex RIS Cite

Determination of Spatial Variability in Sunflower Production

Year 2018, Volume: 4 Issue: 1, 23 - 31, 26.05.2018

Fatih Bakanogulları Ulaş Ay Bahattin Akdemir

https://doi.org/10.26558/ijcst.373589

Abstract







Determination
of Spatial Variability in Sunflower Production



 



Fatih BAKANOĞULLARI1*,       
Ulaş AY1,                  Bahattin
AKDEMIR2



1 Atatürk Soil, Water and Agricultural Meteorology
Research Institute, Republic of Turkey Ministry of Food, Agriculture and
Livestock, 39100 Kirklareli, Turkey



2 Namık Kemal University, Faculty of Agriculture,
Department of Biosystems Engineering 59030 Tekirdag-Turkey



 



[*]










Abstract:  Aim of this research is to determine spatial
variability of soils, nutrients in soil and yield for sunflower production to
assess variable rate fertilisation. Materials were sunflower field, and GNSS.
Seed variety was Limagrain 5542. Total size of the research field was 35.8
ha. Soil samples were taken from 0-30 cm and 30-60 cm depths.  Soil texture, saturation point (%), pH at
saturated soil, Lime (%), total salinity (%), CaCO3, organic
matter, useful P (P2O5), useful K (K2O),
field capacity (%) and wilting point (%) were determined. Soil texture was
found mostly clay but clay loam and a sandy clay loam texture was also
determined. Mean values and standard deviations for saturation point 57.35%
and 7.44%, pH 7.30 and 0.66, salt 0.07 and 0.01, lime 7.63 and 0.68, organic
material 1.29% and 0.17%, P2O5 18.22 and 2.52, K2O
146.05% and 30.82, field capacity 30.34% and 4.07%, and for wilting point
19.18% and 2.72. Mean yield was 2100 kg/ha. Required fertilisers will be 285
kg/ha Ammonium Sulphate (21%N) and 115 kg/ha Calcium Ammonium Nitrate (26%N)
for constant rate fertiliser application as conventional application. If this
fertiliser is applied as variable rate; amount of fertilisers will be 115
kg/ha Calcium Ammonium Nitrate (26%N) for whole field and 285 kg/ha Ammonium
Sulphate (21%N) should be applied for 250 ha. field size. Urea (46%N)
suggested as 130 kg/ha for 100 ha. According to the results, fertiliser
requirement of the sunflower field is not constant. Fertilisation necessity
is spatially determined. Fertiliser application with spatial variable rate
will increase yield, quality and decrease fertilisation cost and
environmental effects. 


  Key words:  Sunflower, Precision agriculture, Spatial variability, Variable rate
fertilisation







[*] Corresponding author: fbakanogulari@gmail.com









Keywords

Sunflower Precision agriculture Spatial variability

References

  • Darwish KH.M., Rashad M., Mohamed S.Z., Gada A. 2015. Spatial Distribution Analysis Of Soil Variables For Agronomic Development In El-Omayed Area, North Coastal Of Egypt, Environ Earth Scie, 74: 889-901.
  • Estrada J.A., Rodriguez-Gonzalez M.T. 2010. Sunflower Biomass Distribution and Seed Yield In Saline Soil Of Mexico Highlands, Helia, 33(52): 127-134. Ozguven M.M., Turker U. 2010 Application of Precision Farming in Turkey, Comparative Analysis of Wheat, Cotton and Corn production. Tarım Makinaları Bilimi Dergisi (Journal of Agricultural Machinery Science). 6(2):127-135.
  • Tekin B., Sındır K.O. 2013. Variable Rate Control System Designed For Spinner Disc Fertiliser Spreader-“Prefer” Scientific Journal of Agricultural Engineering 2: 45-53.
  • Topakci M., Ünal İ., Çanakci M., Yiğit M., Karayl D., 2010. "Improvement Of Field Efficiency Measurement System Based On GPS For Precision Agriculture Applications", Journal of Food Agriculture 8: 288-292.
  • Üngör M.G., Akdemir B. 2010 Development of a mapping programme for variable rate application, Tarım Makinaları Bilimi Derneği Dergisi 6: 121-126.
  • Zibell A.L., Barb J.G., Sandhu S., Moyers B.T., Sykes R.W., Doppke C., Grekom K.L., Carlile M., Marek L.F., Davis M.F., Knapp S.J., Burke J.M. 2013. Sunflower As a
  • Biofuels Crop: An Analysis Of Lignocellulosic Chemical Properties, Biomass And Bioenergy 59: 208-217.

Year 2018, Volume: 4 Issue: 1, 23 - 31, 26.05.2018

Fatih Bakanogulları Ulaş Ay Bahattin Akdemir

https://doi.org/10.26558/ijcst.373589

Abstract

References

  • Darwish KH.M., Rashad M., Mohamed S.Z., Gada A. 2015. Spatial Distribution Analysis Of Soil Variables For Agronomic Development In El-Omayed Area, North Coastal Of Egypt, Environ Earth Scie, 74: 889-901.
  • Estrada J.A., Rodriguez-Gonzalez M.T. 2010. Sunflower Biomass Distribution and Seed Yield In Saline Soil Of Mexico Highlands, Helia, 33(52): 127-134. Ozguven M.M., Turker U. 2010 Application of Precision Farming in Turkey, Comparative Analysis of Wheat, Cotton and Corn production. Tarım Makinaları Bilimi Dergisi (Journal of Agricultural Machinery Science). 6(2):127-135.
  • Tekin B., Sındır K.O. 2013. Variable Rate Control System Designed For Spinner Disc Fertiliser Spreader-“Prefer” Scientific Journal of Agricultural Engineering 2: 45-53.
  • Topakci M., Ünal İ., Çanakci M., Yiğit M., Karayl D., 2010. "Improvement Of Field Efficiency Measurement System Based On GPS For Precision Agriculture Applications", Journal of Food Agriculture 8: 288-292.
  • Üngör M.G., Akdemir B. 2010 Development of a mapping programme for variable rate application, Tarım Makinaları Bilimi Derneği Dergisi 6: 121-126.
  • Zibell A.L., Barb J.G., Sandhu S., Moyers B.T., Sykes R.W., Doppke C., Grekom K.L., Carlile M., Marek L.F., Davis M.F., Knapp S.J., Burke J.M. 2013. Sunflower As a
  • Biofuels Crop: An Analysis Of Lignocellulosic Chemical Properties, Biomass And Bioenergy 59: 208-217.
There are 7 citations in total.

Details

Primary Language English
Journal Section Makaleler
Authors

Fatih Bakanogulları

Ulaş Ay This is me

Bahattin Akdemir

Publication Date May 26, 2018
Published in Issue Year 2018 Volume: 4 Issue: 1

Cite

APA Bakanogulları, F., Ay, U., & Akdemir, B. (2018). Determination of Spatial Variability in Sunflower Production. International Journal of Crop Science and Technology, 4(1), 23-31. https://doi.org/10.26558/ijcst.373589
AMA Bakanogulları F, Ay U, Akdemir B. Determination of Spatial Variability in Sunflower Production. IJCST. May 2018;4(1):23-31. doi:10.26558/ijcst.373589
Chicago Bakanogulları, Fatih, Ulaş Ay, and Bahattin Akdemir. “Determination of Spatial Variability in Sunflower Production”. International Journal of Crop Science and Technology 4, no. 1 (May 2018): 23-31. https://doi.org/10.26558/ijcst.373589.
EndNote Bakanogulları F, Ay U, Akdemir B (May 1, 2018) Determination of Spatial Variability in Sunflower Production. International Journal of Crop Science and Technology 4 1 23–31.
IEEE F. Bakanogulları, U. Ay, and B. Akdemir, “Determination of Spatial Variability in Sunflower Production”, IJCST, vol. 4, no. 1, pp. 23–31, 2018, doi: 10.26558/ijcst.373589.
ISNAD Bakanogulları, Fatih et al. “Determination of Spatial Variability in Sunflower Production”. International Journal of Crop Science and Technology 4/1 (May 2018), 23-31. https://doi.org/10.26558/ijcst.373589.
JAMA Bakanogulları F, Ay U, Akdemir B. Determination of Spatial Variability in Sunflower Production. IJCST. 2018;4:23–31.
MLA Bakanogulları, Fatih et al. “Determination of Spatial Variability in Sunflower Production”. International Journal of Crop Science and Technology, vol. 4, no. 1, 2018, pp. 23-31, doi:10.26558/ijcst.373589.
Vancouver Bakanogulları F, Ay U, Akdemir B. Determination of Spatial Variability in Sunflower Production. IJCST. 2018;4(1):23-31.