ISHS
  eJHS
     
EJHS
Home


Submit
an article


Subscriptions

ISHS Home

ISHS Contact

Search

eJHS
  Eur.J.Hortic.Sci. 87 (1) 1-12 | DOI: 10.17660/eJHS.2022/001
ISSN 1611-4426 print and 1611-4434 online | © ISHS 2022 | European Journal of Horticultural Science | Original article

Assessment and zoning of suitable climate for economic development of cultivation of Sunflower (Helianthus annuus) garden crop (Ardabil Province, Iran)

A. Fatahi1, V. Safarian Zengir2, B. Sobhani2, M.K. Kianian3 and A. Ghahremani4
1 Department of Agricultural Economics, Faculty of Agriculture and Natural Resources, Ardakan University, Ardakan, Iran
2 Climatology, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
3 Desert Studies Faculty, Semnan University, Iran
4 Climatology, Faculty of Literature and Human Sciences, University of Mohaghegh Ardabili, Ardabil, Iran

SUMMARY
This research was conducted to identify areas of Ardabil province susceptible for Helianthus annuus cultivation. The aim of this study was to identify climatic factors for H. annuus cultivation using TOPSIS method and zoning areas susceptible to cultivating this product using ArcGIS in Ardabil province. In this research, climatic data such as minimum temperature, precipitation, and relative humidity were used along with slope, soil and altitude maps of 10 synoptic stations during 22 years (1994 to 2015). Weighing the layers was carried out using the TOPSIS method and the desirable climatic conditions of the H. annuus product, and a digital map of the data was obtained in the ArcGIS. Positive ideal map, negative ideal and final map of H. annuus cultivation in Ardabil province were prepared by integrating of maps in ArcGIS. The final results showed that about 25.89% of the province’s area is without limitation, 22.96% with a low limitation, 26.89% with a moderate limitation, and 24.77% with a severe limitation for H. annuus cultivation. As a result, the cultivation of this product was without limitation in terms of temperature and relative humidity and is faced with limitation in terms of water requirement supply.

Keywords Helianthus annuus, Ardabil province, zoning, TOPSIS, ArcGIS

Significance of this study

What is already known on this subject?

  • In this research, the relationship between climatic elements and Helianthus annuus crops was discovered with more content.
What are the new findings?
  • The impact of climate elements on environmental factors is higher in H. annuus cultivation.
    An innovative method in this study can be used by farmers and people from other countries.
What is the expected impact on horticulture?
  • The research results can be used in the studied region and other countries where sunflower is cultivated. It is very useful in developing a H. annuus horticultural crop, and also the results of the present research in the development of the horticultural crop H. annuus is beneficial.

Download fulltext version How to cite this article       Export citation to RIS format      

E-mail: v.safarian@uma.ac.ir  

References

  • Abadian, A., Senini, M., Hassani, J., Dashtban, N., and Zeraei, A. (2014). Investigation of the reaction of some genotypes of Helianthus annuus to drought stress using stress tolerance indices. J. Plant Ecophysiology 12, 13–23.

  • Amini, R., Shamayeli, M., and Mohammadi Nasab, A.D. (2015). Function and relative advantage of Helianthus annuus cultivation in different maize patterns with soybean and corn in Tabriz conditions. J. Agric. Ecol. 3, 529–551.

  • Ayneband, A. (2008). Ecology of Agricultural Systems (Ahwaz, Iran: Shahid Chamran Univ. Press).

  • Azimi, R., Yazdani, C.A., Fouladgar, M., Kazimieras, Z.M., and Basiri, M.H. (2011). The strategies of mining sector through and TOPSIS in a Swot framework. J. Business Econ. Mgt. 12, 689–670. https://doi.org/10.3846/16111699.2011.626552.

  • Bahmanesh, J., and Azad, N. (2016). Study of changes in meteorological parameters effecting on Urmia climate. Sci. J. Geography and Planning 51, 41–58.

  • Bazrafshan, J., and Rahimi, J. (2015). Analysis and zoning the risk of occurrence of freezing and radiation, advection and mixed freezing in Iran. Agric. Meteor. J. 1, 67–79.

  • Chen, T.Y., and Tsao, C.Y. (2008). The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets and Systems 159, 1410–1428. https://doi.org/10.1016/j.fss.2007.11.004.

  • Ebrahimi Ghalelaei, Z. (2014). The zoning of lethal heat stress during the growth stages of Helianthus annuus in Isfahan province. The First National Conference on Agriculture and Sustainable Natural Resources.

  • Fitchett, J.M., Grab, S.W., Thompson, D.I., and Roshan, J. (2014). Spatio-temporal variation in phenological response of citrus to climate change in Iran: 1960–2010. Agric. Forest Meteor. 198–199, 285–293. https://doi.org/10.1016/j.agrformet.2014.08.010.

  • Ghaemian, N., Ghani Shayeste, F., and Tabiyezadeh, H. (2014). Estimation of land suitability by a parametric method for Helianthus annuus in southern Urmia plain. Second National Conference on Climate Change and its Impact on Agriculture and Environment.

  • Ghanbari, R., Sobhani, B., Aghaee, M., Oshnooei nooshabadi, A., and Safarian Zengir, V. (2021). Monitoring and evaluation of effective climate parameters on the cultivation and zoning of corn agricultural crop in Iran (Case study: Ardabil province). Arab. J. Geosci. 14, 387. https://doi.org/10.1007/s12517-021-06807-y.

  • Ghorbani, K., Zakrinia, M., and Hazarjaribi, A. (2014). Investigating the effects of climate change on water requirement of soybean in Gorgan. J. Agric. Meteor. 1, 60–72.

  • Hendi, M.K., Danekar, A., Alizadeh, A., and Khorasani, N. (2014). Application of TOPSIS method to identify high valuable protected areas in Neyshabur. J. Nat. Environm. (Iranian J. Nat. Res.) 66(1), 61–76. https://dx.doi.org/10.22059/jne.2013.35404.

  • Hosseini, M., Zahedi, M., Fathi, M., and Valizadeh Kamran, Kh. (2014). Agro-climatic zoning of Helianthus annuus in the North of Urmia Lake. J. Geography and Planning 45, 43–67.

  • Javanshir, Z. (2006). Study of agro-climate of Miandoab Plain. M.Sc. thesis (Iran: Tabriz University, Natural Geography Dept., Fac. Humanities and Social Sci.).

  • Jihad, M.H., Ighbareyeh, A., Cano-Ortiz, E., Mohammed, M.H., and Asma, A.A. (2015). Assessing crop yield sustainability under the climatic and bioclimatic change in the area of Palestine. Am. J. Climate Change 4, 48–56. https://doi.org/10.4236/ajcc.2015.41005.

  • Karimi, H. (2015). Crops (Tehran, Iran: Tehran Univ. Press).

  • Kazemi, H. (2015). Ecological zoning of agricultural lands of Gorgan for Helianthus annuus cultivation. J. Plant Prod. Res. 1, 25–47.

  • Khajepour, M. (2016). Industrial Plant (Isfahan, Iran: Jahad Univ. Press).

  • Khalili, A. (2015). Quantitative evaluation of spring frost risk to agricultural and horticultural crops in Iran and modeling. J. Agric. Meteor. 2, 31–17.

  • Luo, Q., Bange, M., and Clancy, L. (2014). Cotton crop phenology in a new temperature regime. Ecological Modelling 285, 22–29. https://doi.org/10.1016/j.ecolmodel.2014.04.018.

  • Meiyappan, P., Dalton, M., O’Neill, B.C., and Jain, A.K. (2014). Spatial modeling of agricultural land use change at global scale. Ecological Modelling 291, 152–174. https://doi.org/10.1016/j.ecolmodel.2014.07.027.

  • Mohammadi, H. (2006). Applied Meteorology (Tehran, Iran: Tehran Univ. Press).

  • Mojarad, F., Farhadi, B., and Khairi, R. (2015). The role of climate factors in determining the date of beginning of cultivation and the growth period of Brassica napus by using the CropSyst Model (Case study: Caspian Sea Provinces). Phys. Geogr. Res. Quart. 46(4), 463–466.

  • Mozaffari, G., and Dehghan, H. (2014). Plants growth season length zoning based on temperature characteristics in Iran. J. Geogr. Reg. Developm. 21, 121–133.

  • Neamatollahi, E., Bannayan, M., Jahansuz, M.R., Struik, P., and Farid, A. (2012). Agro-ecological zoning for wheat (Triticum aestivum), sugar beet (Beta vulgaris) and corn (Zea mays) on the Mashhad plain, Khorasan Razavi province. Egyptian J. Remote Sensing Space Sci. 15, 99–112. https://doi.org/10.1016/j.ejrs.2012.05.002.

  • Oterosa, J., and Garcνamozoa, H. (2013). Modelling olive phenological response to weather and topography. Agric. Ecosyst. Environm. 179, 62–68. https://doi.org/10.1016/j.agee.2013.07.008.

  • Phongphanich, N., Guanguay, M., and Tsairbor, Y. (2014). Climate change impacts on agricultural products in Thailand: A case study of Thai rice at the Chao Phraya River Basin. APCBEE Procedia 8, 136–140. https://doi.org/10.1016/j.apcbee.2014.03.015.

  • Ramezani, B., and Kazemi, R. (2008). Identification of areas susceptible to the cultivation of Helianthus annuus industrial plant in the eastern plain of Gilan. J. Geogr. Space 19, 127–142.

  • Safarianzengir, V., and Sobhani, B. (2020). Simulation and analysis of natural hazard phenomenon, drought in Southwest of the Caspian Sea, Iran. Carpathian J. Earth Environm. Sci. 15(1), 127–136. https://doi.org/10.26471/cjees/2020/015/115.

  • Safarianzengir, V., Sobhani, B., and Asghari, S. (2019). Modeling and monitoring of drought for forecasting it, to reduce natural hazards atmosphere in western and north western part of Iran. Air Qual. Atmosph. Health13, 119–130. https://doi.org/10.1007/s11869-019-00776-8.

  • Safarianzengir, V., Sobhani, B., and Asghari, S. (2020a). Monitoring and investigating the possibility of forecasting drought in the western part of Iran. Arab. J. Geosci. 13(12), 493. https://doi.org/10.1007/s12517-020-05555-9.

  • Safarianzengir, V., Sobhani, B., Yazdani, M.H., and Kianian, M.K. (2020b). Monitoring, analysis and spatial and temporal zoning of air pollution (carbon monoxide) using Sentinel-5 satellite data for health management in Iran, located in the Middle East. Air Qual. Atmosph. Health 13(6), 709–719. https://doi.org/10.1007/s11869-020-00827-5.

  • Sayed Sharifi, R., and Hyman, A. (2015). Study of various levels of nitrogen and plant density on grain yield, rate and effective grain filling period sunflower (Helianthus annuus L.) cultivars. J. Plant Res. 2, 228–241.

  • Shokouhi, M., and Sanaeinejad, S. (2015). Determination of the relationship between climate conditions and the production of rainfed barley in East Azarbaijan. J. Agric. Ecol. 3, 634–644.

  • Sobhani, B. (2017). Determination of areas susceptible to planting sugar beet in Ardebil province based on ecological needs. Quarterly J. Geography 15, 1–18.

  • Sobhani, B., and Karimzadeh, S. (2016). Determination of agro-climate areas of rainfed wheat cultivation based on climatic indices in Kurdistan province. J. Geography and Urban Regional Logistics 15, 17–32.

  • Sobhani, B., and Safarianzengir, V. (2019). Modeling, monitoring and forecasting of drought in south and southwestern Iran, Iran. Modeling Earth Systems and Environm. 6, 63–71. https://doi.org/10.1007/s40808-019-00655-2.

  • Sobhani, B., Safarianzengir, V., and Kianian, M.K. (2019). Drought monitoring in the Lake Urmia basin in Iran. Arab. J. Geosci. 12, 448. https://doi.org/10.1007/s12517-019-4571-1.

  • Sobhani, B., Safarianzengir, V., and Yazdani, M.H. (2020). Modelling, evaluation and simulation of drought in Iran, southwest Asia. J. Earth Syst. Sci. 129, 100. https://doi.org/10.1007/s12040-020-1355-7.

    Talei, M., Soleimani, H., and Farajzadeh Asl, M. (2015). Evaluation of land suitability for rain-fed wheat production based on FAO model using Fuzzy-AHP-OWA integrated technique in GIS in Mianeh city. J. Water Soil 1, 139–154.

  • Yusefi, A.S., and Besh, Z. (2015). Evaluation of Helianthus annuus reaction to weeds interference in low-irrigated condition. J. Water Res. Agric. 2, 431–441.

  • Voloudakis, D., Karamanos, A., Economou, G., Kalivas, D., Vahamidis, P., Kotoulas, V., Kapsomenakis, J., and Zerefos, C. (2015). Prediction of climate change impacts on cotton yields in Greece underweight climatic models using the AquaCrop crop simulation model and discriminant function analysis. Agric. Water Mgt. 147, 116–128. https://doi.org/10.1016/j.agwat.2014.07.028.

  • Zarekani, F., Kamali, G., and Chizari, A. (2015). Effect of climate change on the wheat economic in North Khorasan. J. Agric. Ecol. 2, 301–310.

Received: 1 January 2019 | Accepted: 14 June 2021 | Published: 14 February 2022 | Available online: 14 February 2022

previous article     Volume 87 issue 1     next article