ارزیابی و تحلیل توسعه کشت چغندرقند با استفاده از روش ماتریس SWOT مطالعه موردی: شهرستان پیرانشهر و نقده، استان آذربایجان غربی

نوع مقاله : کامل علمی - پژوهشی

نویسندگان

1 دانشجوی کارشناسی ‌ارشد مهندسی مکانیزاسیون کشاورزی، گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران.

2 استادیار گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران.

چکیده

با توجه به استراتژیک بودن محصول چغندرقند در شهرستان­های پیرانشهر و نقده؛ هدف از این پژوهش تعیین نقاط قوت، ضعف، فرصت و تهدید توسعه کشت چغندرقند در این دو شهرستان می­باشد. اطلاعات موردنیاز در سال 1400 و 1401 در شهرستان­های پیرانشهر و نقده از طریق پرسشنامه و مصاحبه با 361 نفر از چغندرکاران شهرستان‌های مذکور جمع‌آوری شد. نتایج تحلیل ماتریس سوات (SWOT) نشان داد که تنوع ژنتیکی ارقام: قوی­ترین نقطه قوت، قیمت بالای بذور تحویلی، جدی‌ترین نقطه ضعف، امکان برگزاری مزارع الگوی نمایشی جهت نتایج بهتر، قوی‌ترین فرصت‌، وجود دلالان در امر توزیع بذر چغندرقند و در زمان تحویل محصول، جدی‌ترین تهدیدهای توسعه کشت این محصول هستند.  نمره‌ی نهایی کل عوامل داخلی و خارجی با توجه به نتایج به‌دست ‌آمده به ترتیب 2/778 و 2/632 است که نشان از استراتژی تهاجمی دارد. نتایج استراتژی تهاجمی نشان داد که با تکیه ‌بر قوت‌های داخلی می‌توان بیشترین بهره را از فرصت‌های خارجی برد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation and analysis of the development of sugar beet cultivation using the SWOT matrix method A case study: Piranshahr and Naqadeh cities, West Azerbaijan province

نویسندگان [English]

  • F.A. Khamoushi 1
  • A. Taheri hajivand 2
1 MS student in Agricultural Mechanization Engineering, Department of Biosystem Engineering, Faculty of Agriculture, Tabriz University, Tabriz, Iran.
2 Assistant professor of Faculty of Agriculture Engineering Department of Biosystem Engineering University of Tabriz, Tabriz, Iran.
چکیده [English]

Considering the strategic nature of the sugar beet crop in Piranshahr and Naqadeh cities, the aim of this study was to determine the strengths, weaknesses, opportunities as well as risks of the development of sugar beet cultivation. The information needed in 2021 and 2022 in Piranshahr and Naqadeh cities, respectively were collected through questionnaires and interviews with 361 sugar beet growers of the cities. Results of the SWOT matrix analysis showed that genetic diversity cultivars was the strongest points, the high price of delivered seeds was the most serious weakness, the possibility of holding demonstration model fields for better results is the strongest opportunity, the presence of dealers in the distribution of sugar beet seeds and at the time of product delivery are the most serious threats to the development of the cultivation of this crop. According to the obtained results, the final score of all internal and external factors was 2.778 and 2.632, respectively, which indicates an aggressive strategy. The results of the aggressive strategy showed that by relying on internal strengths, the most advantage from external opportunities can be achieved.

کلیدواژه‌ها [English]

  • Agriculture
  • Strategic product
  • Sugar beet
  • Sustainable cultivation
  • SWOT matrix
Abu-Ellail F, Sadek K, El-Bakary H. Evaluation of ten sugar beet varieties in terms of growth, yield and quality under different soil salinity levels. Journal of Sugar Beet. 2020; 35(2):233-49. doi:10.22092/jsb.2020.341558.1232. [In Persian]
Adibifard N, Habibi D, Bazrafshan M, Taleghani D, Ilkaee M. Study of the climatic condition of Fars province for the development of autumn-sown sugar beet planting using Geographic Information System (GIS). Journal of Sugar Beet. 2019; 35(1):13-31. doi:10.22092/jsb.2019.116356.1169. [In Persian]
Akhtar K, Pirzada SS. SWOT analysis of agriculture sector of Pakistan. Journal of Economics and Sustainable Development. 2014; 5(11):127-34. [In Persian]
Baghizadeh F, Amirtaimoori S, Zare Mehrjerdi MR, Ziaabadi M. Strategic planning for production of transgenic plants in Iran based on the opinion of experts in Kerman province. Journal of Biosafety. 2019; 12(1):43-56. [In Persian]
Behbahani SB, Rezaee S, Mahmoodi S. Pathogenicity and genetic variation of Iranian isolates of Fusarium oxysporum from sugar beet in Iran. Journal of Sugar Beet. 2014; 30(1):1-6. doi:10.22092/jsb.2014.5853. [In Persian]
Bhuyian MZR, Solanki S, del Rio Mendoza LE, Borowicz P, Lashman D, Qi A, Ameen G, Khan MFR. Histopathological investigation of varietal responses to Cercospora beticola infection process on sugar beet leaves. Plant Disease. 2023; 107(12):3906-3912. doi: 10.1094/PDIS-03-23-0562-RE .
Capistrano- Gossmann GG, Ries D, Holtgräwe D, Minoche A, Kraft T, Frerichmann SL,  Rosleff Soerensen T,   Dohm JC, González I, Schilhabel M, Varrelmann M,  Tschoep H, Uphoff H, Schütze K, Borchardt D,  Toerjek O, Mechelke W, Lein JC, Schechert AW,  Frese L, Himmelbauer H, Weisshaar B, Kopisch-Obuch FJ. Crop wild relative populations of Beta vulgaris allow direct mapping of agronomically important genes. Nature communications. 2017; 8(1):15708. doi:10.1038/ncomms15708 .
Chitband A, Nabizade M. Side effects of some of the most important sugar beet herbicides on non-target aquatic macrophyte. Journal of Sugar Beet. 2020; 35(2):193-206. doi:10.22092/jsb.2020.121776.1194. [In Persian]
Feizollah- zadeh M, Mohammadzadeh Sh, Karrari S. Determining the Appropriate Strategy for Marketing and Export of Agricultural Products in Production Cooperatives of Maku Free Zone. Operation and Agriculture. 2020; 9(35):53-080. [In Persian]
Finkenstadt VL. A review on the complete utilization of the sugar beet. Sugar Tech. 2014; 16:339-46. doi:10.1007/s12355-013-0285-y.
Hoffmann CM, Kenter C. Yield potential of sugar beet–have we hit the ceiling? Frontiers in plant science. 2018; 9:289. doi:10.3389/fpls.2018.00289.
Jackson SE, Joshi A, Erhardt NL. Recent research on team and organizational diversity: SWOT analysis and implications. Journal of management. 2003; 29(6):801-30. doi.org/10.1016/S0149-2063(03)00080-1.
Khiavi PK, Moghaddasi R, Eskandarpour B. Analysis of total factor productivity growth of sugar beet in Iran using Malmquist approach. Journal of Sugar Beet. 2012; 28(1):51-5. doi:10.22092/jsb.2012.657. [In Persian]
Malekhosseini A; Mirakzadeh AA; Salmanzadeh C. Analyzing Agricultural Ethics Implementation Strategies in Sonqor County. 2020; 30(2): 289-301. [In Persian]
Najafi P, Fehresti Sani M, Bostan Y, Ardakani F. Estimation of Iran’s sugar import demand function (ARDL approach). Journal of Sugar Beet. 2020;35(2):207-16 doi:10.22092/jsb.2020.127496.1226. [In Persian]
Oroian C, Ugruțan F, Mureșan IC, Oroian I, Odagiu A, Petrescu-Mag IV, Burduhos P. AMMI analysis of genotype× environment interaction on sugar beet (Beta vulgaris L.) yield, sugar content and production in Romania. Agronomy. 2023;13(10):2549. doi:10.3390/agronomy13102549. [In Persian]
Panella L, Kaffka SR, Lewellen RT, Mitchell McGrath J, Metzger MS, Strausbaugh CA. Sugar beet. Yield gains in major US field crops. 2014; 33:357-95.
Ptak M, Skowrońska A, Pińkowska H, Krzywonos M. Sugar beet pulp in the context of developing the concept of circular bioeconomy. Energies. 2021; 15(1):175. doi:10.3390/en15010175.
Shafie L. Javaheri M; Z. Pourjopary. Investigation on technical, allocative and economic efficiency of sugar beet producers in Bardsir city. Journal of Sugar Beet. 2007; 22(2):109- 121. doi: 10.22092/jsb.2007.1689. [In Persian]
Talha MA. Development of integrated pest management packages against spodoptera litura (fabricius) in tropical sugar beet: Department of entomology; 2020.