موانع کشت و تولید چغندرقند: مطالعه موردی شهرستان کیار در استان چهارمحال بختیاری

نوع مقاله : کامل علمی - پژوهشی

نویسندگان

1 دانشجوی دکترای اصلاح نباتات دانشکده کشاورزی، دانشگاه شهرکرد

2 دانش آموخته کارشناسی ارشد مهندسی آگرواکولوژی دانشگاه آزاد شهرکرد و مدیر جهاد کشاورزی شهرستان کیار

10.22092/jsb.2025.367723.1378

چکیده

میزان شکر مصرفی سالانه کشور حدود ۲ تا 5/2 میلیون تن و تولید سالانه آن در حدود 6/1 میلیون تن است درنتیجه میزان کمبود این ماده غذایی از طریق واردات تأمین می‌شود. بنابراین نیاز است موانع تولید این محصول مهم و استراتژیک بررسی شوند. این مطالعه از نوع توصیفی- پیمایشی و همبستگی است. میزان بارندگی از ایستگاه هواشناسی شهرستان کیار از توابع استان چهارمحال و بختیاری و سطح زیر کشت، عملکرد ریشه و شکر از کارخانه قند هفشجان طی سال‌های 1391 تا 1399 تهیه و بررسی شدند. سپس هفت عامل موانع مالی، موانع اقتصادی، موانع فنی، موانع اجتماعی، عوامل انگیزشی، موانع ناشی از عوامل اقلیمی و موانع حمایتی بر روی کشت چغندرقند بررسی گردیدند. جامعه آماری شامل 480 کشاورز بود و نمونه آماری به شیوه تصادفی ساده با استفاده از روش مورگان، تعداد 215 کشاورز تعیین شد. ابزار جمع‌آوری داده‌ها پرسشنامه‌ای شامل 21 پرسش بود که پایایی آن با استفاده از ضریب آلفای کرونباخ تأیید شد. نتایج نشان داد که سطح زیر کشت چغندرقند و میزان عملکرد آن طی سال‌های 1399-1391 تحت تأثیر نوسانات آب و هوایی، بارندگی و مدیریت مزرعه قرار گرفته است. میانگین موانع مالی (41/78)، انگیزشی (23/65) و حمایتی (38/56) نسبت به میانه آن‌ها (به ترتیب 26/79، 38/66 و 72/57) کمتر است. با انجام آزمون فریدمن بالاترین رتبه مربوط به موانع فنی با میانگین رتبه 59/6 به دست آمد و بعد از آن دو عامل موانع اقتصادی و موانع مالی با میانگین رتبه 44/5 و 52/4 قرار گرفتند. ضریب همبستگی عدم کشت چغندرقند با موانع مالی، اقتصادی، فنی و انگیزشی مثبت و معنی‌دار در سطح احتمال یک درصد (به ترتیب 74/0، 74/0، 86/0 و 72/0) و با موانع اجتماعی، اقلیمی و حمایتی مثبت و معنی‌دار در سطح احتمال پنج درصد (به ترتیب 62/0، 51/0 و 61/0) بود که به‌منظور افزایش کشت و تولید محصول چغندرقند این موانع بایستی مورد توجه قرار بگیرند. تأمین اعتبارات مالی، بهبود فناوری‌ها، افزایش آموزش‌های فنی و دخالت مؤثر دولت در روند قیمت‌گذاری از جمله راهکارهای مناسب برای رفع این موانع هستند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Obstacles to sugar beet cultivation and production: a case study of Kiyar county in Chaharmahal Bakhtiari province

نویسندگان [English]

  • Ashraf Aghababapoor Dehkordi 1
  • saed davoodinia 2
1 Ph.D. student of Agriculture Plant Breeding, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
2 graduate of agroecology University of Shahr - e - Kord and the Director of the Agricultural Jihad of Kiyar County .
چکیده [English]

Extended Abstract
Introduction
Sugar beet (Beta Vulgaris. L.) is one of the industrial and strategic crops which accounts for a significant share of sugar production worldwide. Sugar is one of the imported goods and planning for sugar beet cultivation and sugar production is essential. Sugar beet cultivation and production are of great importance in the policies and plans of the Ministry of Agriculture Jihad due to its agricultural, economic and industrial benefits. Currently, the  annual sugar consumption of the country is about 2-2.5 million tons and its annual sugar production is about 1.6 million tons. As a result, the country's deficit in sugar production is covered by imports. Therefore, obstacles to the production of this important product should be evaluated.
Materials and methods
In this study, the amount of rainfall recorded at the Kiyar meteorological station, Chaharmahal and Bakhtiari province, and also the data of Hafshejan sugar factory including cultivated area as well as root yield and sugar yield in the basin of Kiyar in the period 2012-2020 were evaluated. The obstacles of sugar beet cultivation were then examined. The data collection tool was a questionnaire and the statistical population consisted of 480 growers. The sample size was determined by simple random sampling using the Morgan method, which resulted in 215 growers. Descriptive statistics and inferential statistics methods were used to analyze the data. The descriptive statistics included population characteristics and statistical indices such as standard deviation, median, minimum and maximum values of obstacles. In the inferential statistics, Pearson's correlation coefficient was calculated using SPSS (ver. 20) software. The Friedman test was used to rank the effect of each obstacle on sugar beet cultivation. Obstacles and difficulties in sugar beet cultivation were studied in seven factors: financial, economic, technical, social, motivational, climate, and supporting obstacles.
Results and discussion
The majority of participants in the survey were 40 years old and had diploma education. In the crop year  The area under sugar beet cultivation was at its peak (606 ha) in 2016-17 and decreased significantly since then in Kiyar county. Average scores of financial (78.41), motivation (65.23) and support barriers (56.38) were less than their median (79.26, 66.38 and 57.72, respectively). The Friedman test achieved the highest score for technical obstacles with average of 6.59 followed by two factors, economic and financial obstacles with average score of 5.44 and 4.52. The correlation between sugar beet cultivation and financial, economic, technical and motivational obstacles was positive and significant at 1% probability level (0.74, 0.74, 0.86 and 0.72, respectively) and with social, climatic and supportive obstacles was positive and significant at 5% probability (0.62, 0.51 and 0.61, respectively).
Conclusion
In order to increase the su gar beet cultivation and sugar production, the above-mentioned obstacles should be considered. Providing financial credits, improving technologies, increasing technical training and effective government intervention in pricing processes are some of the appropriate strategies to overcome these obstacles.
 

کلیدواژه‌ها [English]

  • Cultivation areas
  • Economic obstacles
  • Kiyar county
  • Sugar beet
  • Yield
Abdollahian-Noghabi M. A review on growth and production of sugar beet crops in Iran during the recent years. Journal Sugar Beet. 2007; 23(2): 197-198. (In Persian). DOI:https://doi.org/10.22092/JSB.2007.1660
Afshar Z, Qasemi M, Rezvani Moghadam P, Bozerjemari Kh. Analysis of the causes of failure of cultivation of medicinal plants in Chenaran city. The first national conference on the role of medicinal plants in the resistance economy. Fereydunshahr PayameNoor University. Fereydunshahr center. 2017. DOI:https://doi.org/20.1001.1.20087373.1399.11.3.13.6
Aghababapoor T, Nasr Esfahani A. Examining the relationship between organizational identity and organizational silence among employees: A case study of university of Isfahan employees. Applied Sociology. 2014; 24(4): 139-162. DOI:https://doi.org/20.1001.1.20085745.1392.24.4.8.4
Alderiny MM, Alrwis KN, Ahmed SB, Aldawdahi NM. Forecasting Saudi Arabia’s production and imports of broiler meat chickens and its effect on expected self-sufficiency ratio. Journal of the Saudi Society of Agricultural Sciences. 2020; 19(4): 306-312. DOI:https://doi.org/10.1016/j.jssas.2019.09.001
Alimardani I. Sugar beet (from science to practice), Tehran agricultural sciences publisher. 2000; pp. 656. (In Persian)
Amin GA, Badr EA, Afif MHM. Root yield and quality of sugar beet (Beta vulgaris L.) in response to bio fertilizer and foliar application with micronutrients. World Applied Sciences Journal. 2013; 27(11): 1385- 1389. DOI:https://doi.org/10.5829/idosi.wasj.2013.27.11.13732
Amirkochomi S, Choobchian S, Sadighi H. Analysis of factors affecting the development of horticulture products insurance in the south Kerman province. Rural Development Strategies. 2018; 4(16): 515-534. (In Persian). DOI:https://doi.org/10.22048/rdsj.2018.63147.1587
Barlog P, Nowacka A, Blaszyk R. Effect of zinc band application on sugar beet yield, quality and nutrient uptake. Plant, Soil and Environment Journal. 2016; 62: 30-35. DOI:https://doi.org/10.17221/677/2015-PSE
Bateese GE, Coelli TG. A model for technical inefficiency effect in a stochastic frontier. production function for panel data. Employment Economic.1995; 20(2): 325-332. DOI:https://doi.org/10.1007/BF01205442
Cole MT, Doremus JM, Hamilton SF. Import restrictions by eco-certification: Quantity effects on tropical timber production. Journal of Environmental Economics and Management. 2021; 107:102423. DOI:https://doi.org/10.1016/j.jeem.2021.102423
Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrical. 1951; 16: 297-334. DOI:https://doi.org/10.1007/BF02310555
Dang HL, Li E, Bruwer J. Farmers’ perceptions of climate variability and barriers to adaption: lessons learned from and exploratory study in Vietnam. Mitigation and Adaptation Strategies for Global Change. 2014; 19(5): 531–548. DOI:https://doi.org/10.1007/s11027-012-9447-6.
David Tarkalson D, Imad E, Werner B, Bradley A. Drought tolerance selection of sugar beet hybrids. Journal of Sugar Beet Research. 2014; 51: 1-2. DOI:https://doi.org/10.5274/jsbr.51.1.14.
DeVellis RF. Scale development: theory and applications, Sage Publications. 4th edition. 2016; pp. 256.
Draycott AP. Sugar beet. Wiley-Blackwell Publishing. 2008; pp. 496.
Estelaje A. Sustainable development capabilities of rural areas of Iran with emphasis on medicinal plants. Quarterly Journal of Geography (Regional Planning). 2015; 5(2): 19-28.
Fateminick F, Ghasemi S. An overview of the autumn planting of sugar beet. The fourth international conference of applied researches in agricultural science. Tehran. 2016. https://civilica.com/doc/615783 (In Persian).
Karimi V, Karami E, Keshavarz M. Climate change and agriculture: Impacts and adaptive responses in Iran. Journal of Integrative Agriculture. 2018; 17(1): 1-15. DOI:https://doi.org/10.1016/S2095-3119(16)61609-X
Karimi M. Water use reduction management in sugar beet. Khorasan Razavi Agricultural and Natural Resources Research and Education Centre. 2020; pp. 32. (In Persian).
Khaligh Khiavi P, Moghaddasi R, Eskandarpour B. Analysis of total factor productivity growth of sugar beet in Iran using Malmquist. Journal of Sugar Beet. 2012; 28(1): 51-55. DOI:https://doi.org/10.22092/JSB.2012.657
Kirsten J, Mapila M, Okello J, De S. Managing agricultural commercialization for inclusive growth in Sub-Saharan Africa. Global Development Network Working Paper No. 60. 2013. DOI:https://doi.org/10.22004/ag.econ.206518.
Kohansal MR, Hosseini SS. A simulation model for price support policis of sugar beet in Khorasan province. Agricultural Economics and Development Journal. 2007; 58: 23-38. https://sid.ir/paper/24477/en (in Persian).
Kouchaki AR, Kamali GH. Climate change and dry land wheat production in Iran. Iranian Journal of Agricultural Research. 2009; 3: 508-520. DOI:https://doi.org/20.1001.1.20081472.1389.8.3.15.4 (In Persian).
Mekdad AA, Rady MM. Response of Beta vulgaris L. to nitrogen and micronutrients in dry environment. Plant Soil Environment Journal. 2016; 62(1): 23-29. DOI:https://doi.org/10.17221/631/2015-PSE
Mohamed DHD, Mohamed S, Abbas AS, El-Hassanin H, El-Aleem A. Effect of Nano micronutrients and nitrogen foliar applications on sugar beet (Beta vulgaris L.) of quantity and quality traits in marginal soils in Egypt. International Journal of Current Microbiology and Applied Sciences. 2018; 7(9): 4490-4498. DOI:https://doi.org/10.20546/ijcmas.2018.708.475
Mohammadi H, Farajzade Z, Kafilzade F. Effect of government protecting policy on supply, cropping area and yield of sugar beet in Iran. Journal of Sugar beet. 2009; 25(2): 207-218. DOI:https://doi.org/10.22092/JSB.2010.1033
Naghshine fard M, Mohammadi H, Bagheri M, Kafilzade F, Pishbin S, Borjiyan A. Determination of inputs effects on production risk by use of generalized stochastic production function: case study of sugar beet farmers in Fars province. Journal of Sugar beet. 2006; 22(1): 90-100. DOI:https://doi.org/10.22092/JSB.2006.1667 (In Persian).
Najafi B. Study of price supportive policies in sugar beet (problems and approaches), Agricultural Economics and Development Quarterly. 2002; 10(39): 27-47. (in Persian).
Nikokar A. Investigation of the effects of manure and poison subsidy on sugar beet crop in Khorasan Province. Master thesis, Faculty of agriculture. University of Tehran. 2002. (In Persian)
Reidsma P, Ewert F, Boogard HL, Van Diepen CA. Regional crop modeling in Europe. The impact of climatic conditions and farm characteristics on maize yields. Agricultural Systems. 2009; 100: 51-60. DOI:https://doi.org/10.1016/j.agsy.2008.12.009
Soon BM, Thompson W. Non-tariff barrier on chicken imports into Russia: Impact on production, trade and prices. Journal of Policy Modeling. 2020; 42(3): 583-96. DOI:  https://doi.org/10.1016/j.jpolmod.2019.11.002
Fathollah Taleghani D, Moharramzadeh M, Gohari J, Kashani A, Tohidloo Gh, Chegini M. Study of correlation between reduction of sugar content and leaf regrowth of sugar beet in Moghan. Journal of Sugar Beet. 2019; 16(2): 13-20. (In Persian). DOI:https://doi.org/10.22092/JSB.2000.113497
Uddin H, Khanam MJ. Import, export and economic growth: the case of lower income country. Journal of Business and Management. 2017; 19(1): 37-42. DOI:https://doi.org/10.9790/487X-1901053742