مدل ساختاری عوامل مؤثر روی به‌کارگیری شالی‌کاران از کودهای آلی به هنگام کشت برنج (Oryza sativa) در شهرستان دزفول

بوم شناسی کشاورزی

مقاله 7، دوره 16، شماره 4 - شماره پیاپی 62، دی 1404، صفحه 713-728   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.22067/agry.2024.88035.1196

نویسندگان

زهرا اسکندری؛ مسلم سواری^* ؛ مسعود یزدان پناه

گروه ترویج و آموزش کشاورزی، دانشکده مهندسی زراعی و عمران روستایی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، ملاثانی، ایران.

چکیده

برنج یکی از اصلی‏ترین غذاهای ایرانی است، امّا استفاده بی‏رویه از نهاده‏های شیمیایی در تولید این محصول از کیفیت و خواص آن کاسته است، تحقیقات قبلی نشان می‏دهد که استفاده از کودهای آلی در کشت برنج می‏تواند مواد مغذی مورد نیاز خاک برای تولید این محصول را فراهم کند، امّا شالی‌کاران تمایل چندانی به استفاده آن در کشت برنج ندارند. در راستای این مهم، پژوهش حاضر با هدف کلی بررسی عوامل مؤثر بر استفاده شالی‌کاران از کودهای آلی به هنگام کشت برنج در شهرستان دزفول انجام شد. جامعه آماری این پژوهش در سال 1401 را 4700 برنج‏کار شهرستان دزفول تشکیل می‏دهند که حجم نمونه برمبنای جدول کرجسی و مورگان، به‌روش نمونه‏گیری خوشه‏ای 360 نمونه برآورد شد. گردآوری داده‏ها به‌صورت پرسش‌نامه برمبنای مقیاس طیف لیکرت طراحی شد. روایی شکلی و محتوایی پرسش‌نامه با نظر متخصصان و پایایی آن از طریق آلفای کرونباخ و پایایی ترکیبی تأیید شد. نتایج پژوهش مدل‌سازی معادله‏های ساختاری نشان داد که متغیرهای خودکارآمدی (ƛ= 0.257, P= 0.000)، راهنمای عمل (ƛ= 0.222, P= 0.000)، شدت درک شده (ƛ= 0.121, P= 0.035) و حساسیت درک شده (ƛ= 0.100; P= 0.046) و منافع درک شده (ƛ= 0.319, P= 0.000) اثر مثبت و معنی‏داری در به‌کارگیری کودهای آلی در میان شالی‌کاران شهرستان دزفول دارد، این در حالی است که متغیر موانع درک شده دارای اثر معنی‏داری در این بخش نبود. علاوه‌براین، می‏توان گفت که متغیرهای چارچوب اعتقاد سلامت توانست 67 درصد از واریانس متغیر وابسته تحقیق (استفاده از کودهای آلی در کشت برنج) را تبیین نمایند.

کلیدواژه‌ها

حفظ محیط زیست؛ کشاورزی پایدار؛ سلامت غذایی؛ مدل‌سازی معادله ساختاری

مراجع

1. Abbasian, A., & Aminpanah, H. (2018). Effects of previous crop and rate of phosphorous fertilizer application on yield and yield components of rice (Oryza sativa) cv. Shiroudi. Journal of Crop Ecophysiology, 11(44(4)), 889-904. (In Persian). https://doi.org/10.22059/IJSWR.2020.303674.668635
2. Abdulla, S.M., Jamil, D.M., & Aziz, K.H.H. (2020). Investigation in heavy metal contents of drinking water and fish from Darbandikhan and Dokan Lakes in Sulaimaniyah province-Iraqi Kurdistan region. In IOP Conference Series: Earth and Environmental Science,612(1), 012023. https://doi.org/10.1088/1755-1315/612/1/012023
3. Abraham, C., & Sheeran, P. (2015). The Health Belief Model. American Addiction Center. How long does alcohol stay in your system? 2021; available from: https://americanaddictioncenters.org/alcoholism-treatment/how-long-insystem.
4. Adhikari, A., Kwon, E.H., Khan, M.A., Shaffique, S., Kang, S.M., & Lee, I.J. (2024). Enhanced use of chemical fertilizers and mitigation of heavy metal toxicity using biochar and the soil fungus Bipolaris maydis AF7 in rice: Genomic and metabolomic perspectives. Ecotoxicology and Environmental Safety, 271, 115938. https://doi.org/10.1016/j.ecoenv.2024.115938
5. Adnan, N., Nordin, S.M., & Anwar, A. (2020). Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: An integrated exhibiting tactics to adopt Green fertilizer. Land Use Policy, 90, 104255. https://doi.org/10.1016/j.landusepol.2019.104255
6. Boazar, M., Abdeshahi, A., & Yazdanpanah, M. (2020). Changing rice cropping patterns among farmers as a preventive policy to protect water resources. Journal of Environmental Planning and Management, 63(14), 2484-2500. https://doi.org/10.1080/09640568.2020.1729705
7. Bora, K. (2022). Spatial patterns of fertilizer use and imbalances: Evidence from rice cultivation in India. Environmental Challenges, 7, 100452. https://doi.org/10.1016/j.envc.2022.100452
8. Carpenter, C.J. (2010). A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Communication, 25(8), 661-669. https://doi.org/10.1080/10410236.2010.521906
9. Champion, V.L., & Skinner, C.S. (2008). The health belief model. Health Behavior and Health Education: Theory, Research, and Practice, 4, 45-65.
10. Cheng, S., Zheng, Z., & Henneberry, S. (2019). Farm size and use of inputs: Explanations for the inverse productivity relationship. China Agricultural Economic Review, 11(2), 336-354. https://doi.org/10.1108/CAER-09-2018-0192
11. Duan, W., Peng, L., Zhang, H., Han, L., & Li, Y. (2021). Microbial biofertilizers increase fruit aroma content of Fragaria× ananassa by improving photosynthetic efficiency. Alexandria Engineering Journal, 60(6), 5323-5330. https://doi.org/10.1016/j.aej.2021.04.014
12. Ejeta, L.T., Ardalan, A., Paton, D., & Yaseri, M. (2016). Predictors of community preparedness for flood in Dire-Dawa town, Eastern Ethiopia: Applying adapted version of Health Belief Model. International Journal of Disaster Risk Reduction, 19, 341-354. https://doi.org/10.1016/j.ijdrr.2016.09.005
13. Erfani, R., Pirdashti, H., Nouri, M., & Abbasi, R. (2019). Comparison of paddy yield and soil qualitative characteristics among different agricultural systems in three regions of Mazandaran. Applied Field Crops Research, 32(1), 101-122. (In Persian). https://doi.org/10.22092/aj.2018.122292.1309
14. Güler, T. (2010). Ekoloji temelli bir çevre eğitiminin öğretmenlerin çevre eğitimine karşı görüşlerine etkileri. Eğitim ve Bilim, 34(151), 23-41.
15. Habib, S.S., Batool, A.I., Rehman, M.F.U., & Naz, S. (2023). Evaluation and association of heavy metals in commonly used fish feed with metals concentration in some tissues of niloticus cultured in biofloc technology and earthen pond system. Biological Trace Element Research, 201(6), 3006-3016. https://doi.org/10.1007/s12011-022-03379-0
16. Halpern, M., Bar-Tal, A., Ofek, M., Minz, D., Muller, T., & Yermiyahu, U. (2015). The use of biostimulants for enhancing nutrient uptake. Advances in Agronomy, 130, 141-174. https://doi.org/10.1016/bs.agron.2014.10.001
17. Hamid, F., Yazdanpanah, M., Baradaran, M., Khalilimoghadam, B., & Azadi, H. (2021). Factors affecting farmers’ behavior in using nitrogen fertilizers: Society vs. farmers’ valuation in southwest Iran. Journal of Environmental Planning and Management, 64(10), 1886-1908. https://doi.org/10.1080/09640568.2020.1851175
18. Hair Jr, J.F., Matthews, L.M., Matthews, R.L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.087624
19. Homauini, Z., Abolhasani, L., & Sabouhi, M. (2018). Environmental impact assessment of different varieties of rice (Oryza sativa) paddy in the Kordkoy. Journal of Agroecology, 10(2), 580-602. (In Persian). https://doi.org/10.22067/JAG.V10I2.63502
20. Huang, Y., Luo, X., Tang, L., & Yu, W. (2020). The power of habit: Does production experience lead to pesticide overuse?. Environmental Science and Pollution Research, 27(20), 25287-25296. https://doi.org/10.1007/s11356-020-08961-4
21. Jalali, M., & Karimi Mojahed, J. (2020). Assessment of the health risks of heavy metals in soils and vegetables from greenhouse production systems in Iran. International Journal of Phytoremediation, 22(8), 834-848. https://doi.org/10.1080/15226514.2020.1715917
22. Jeong, J.Y., & Ham, S. (2018). Application of the Health Belief Model to customers' use of menu labels in restaurants. Appetite, 123, 208-215. https://doi.org/10.1016/j.appet.2017.12.012
23. Kabiri, S., Degryse, F., Tran, D.N., da Silva, R.C., McLaughlin, M.J. & Losic, D. (2017). Graphene oxide: A new carrier for slow release of plant micronutrients. ACS applied Materials and Interfaces, 9(49), 43325-43335. https://doi.org/1021/acsami.7b07890.
24. Keesstra, S., Mol, G., De Leeuw, J., Okx, J., Molenaar, C., De Cleen, M., & Visser, S. (2018). Soil-related sustainable development goals: Four concepts to make land degradation neutrality and restoration work. Land, 7(4), 133. https://doi.org/10.3390/land7040133
25. Khan, M. (2010). Using the health belief model to understand pesticide use decisions. The Pakistan Development Review, 12, 941-956. https://doi.org/10.30541/v49i4IIpp.941- 956.
26. Koupaie, E.H., & Eskicioglu, C. (2015). Health risk assessment of heavy metals through the consumption of food crops fertilized by biosolids: A probabilistic-based analysis. Journal of Hazardous Materials, 300, 855-865. https://doi.org/10.1016/j.jhazmat.2015.08.018
27. Kumar, S. (2013). Environmental awareness among rural folks of hamirpur district, HP. The International Journal of Engineering and Science, 1-84.
28. Liu, W., Shao, X.F., Wu, C.H., & Qiao, P. (2021). A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. Journal of Cleaner Production, 298, 126763. https://doi.org/10.1016/j.jclepro.2021.126763
29. Maleksaeidi, H., & Keshavarz, M. (2019). What influences farmers' intentions to conserve on-farm biodiversity? An application of the theory of planned behavior in Fars province, Iran. Global Ecology and Conservation, 20, e00698. https://doi.org/10.1016/j.gecco.2019.e00698
30. Mankeb, P., Limunggura, T., In-Go, A., & Chulilung, P. (2014). Adoption of Good Agricultural Practices by Durian Farmers in Koh Samui District, Surat Thani Province, Thailand.
31. Mazengia, E.M., Kassie, A., Zewdie, A., Tesfa, H., Aschale, A., & Demissie, G.D. (2024). Risky driving behavior among public transport vehicle drivers in Ethiopia using the health belief model. Transportation Research Interdisciplinary Perspectives, 23, 101011. https://doi.org/10.1016/j.trip.2023.101011
32. McArthur, J.W., & McCord, G.C. (2017). Fertilizing growth: Agricultural inputs and their effects in economic development. Journal of Development Economics, 127, 133-152. https://doi.org/10.1016/j.jdeveco.2017.02.007
33. Nasiri, A.R., Shahangian, S.A., Kerachian, R., & Zobeidi, T. (2024). Exploring socio-psychological factors affecting farmers' intention to choose a low-water-demand cropping pattern for water resources conservation: Application of the health belief model. Agricultural Water Management, 295, 108768. https://doi.org/10.1016/j.agwat.2024.108768
34. Othman, Z. (2012). Information and communication technology innovation as a tool for promoting sustainable agriculture: A case study of paddy farming in west Malaysia (Doctoral dissertation, University of Malaya).
35. Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an effective health interventions design: an extension of the health belief model. Online Journal of Public Health Informatics, 4(3), e61050. https://doi.org/5210/ojphi.v4i3.4321
36. Ren, C., Jin, S., Wu, Y., Zhang, B., Kanter, D., Wu, B., Gu, B. (2021). Fertilizer overuse in Chinese smallholders due to lack of fixed inputs. Journal of Environmental Management, 293, 112913. https://doi.org/10.1016/j.jenvman.2021.112913
37. Rosenstock, I.M. (2005). Why people use health services. The Milbank Quarterly, 83(4). https://doi.org/1111/j.1468-0009.2005.00425.x
38. Savari, M., & G harechaee, H. (2020). Application of the extended theory of planned behavior to predict Iranian farmers’ intention for safe use of chemical fertilizers. Journal of Cleaner Production, 263, 121512. https://doi.org/10.1016/j.jclepro.2020.121512
39. Savari, M., Damaneh, H.E., & Damaneh, H.E. (2024). Managing the effects of drought through the use of risk reduction strategy in the agricultural sector of Iran. Climate Risk Management, 100619. https://doi.org/10.1016/j.crm.2024.100619
40. Savari, M., Damaneh, H.E., & Damaneh, H.E. (2024). Discover the determining factors of the use of mangrove forests conservation behaviors. Journal for Nature Conservation, 126768. https://doi.org/10.1016/j.jnc.2024.126768
41. Savari, M., Sheheytavi, A., & Amghani, M.S. (2023). Factors underpinning Iranian farmers’ intention to conserve biodiversity at the farm level. Journal for Nature Conservation, 73, 126419. https://doi.org/10.1016/j.jnc.2023.126419
42. Savari, M., Ebrahimi-Maymand, R., & Mohammadi-Kanigolzar, F. (2013). The Factors influencing the application of organic farming operations by farmers in Iran. Agris on-line Papers in Economics and Informatics, 5(4), 179-187.
43. Savari, M., Khaleghi, B., & Sheheytavi, A. (2024). Iranian farmers' response to the drought crisis: How can the consequences of drought be reduced?. International Journal of Disaster Risk Reduction, 114, 104910. https://doi.org/10.1016/j.ijdrr.2024.104910
44. Savari, M., Damaneh, H.E., & Damaneh, H.E. (2024). Conservation behaviors of local communities towards mangrove forests in Iran. Global Ecology and Conservation, e03311. https://doi.org/10.1016/j.gecco.2024.e03311
45. Savari, M., & Khaleghi, B. (2023). The role of social capital in forest conservation: An approach to deal with deforestation. Science of The Total Environment, 896, 165216. https://doi.org/10.1016/j.scitotenv.2023.165216
46. Shahangian, S.A., Tabesh, M., Yazdanpanah, M., Zobeidi, T., & Raoof, M.A. (2022). Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management. Journal of Environmental Management, 313, 115005 https://doi.org/10.1016/j.jenvman.2022.115005
47. Sible, C.N., Seebauer, J.R., & Below, F.E. (2021). Plant biostimulants: A categorical review, their implications for row crop production, and relation to soil health indicators. Agronomy, 11(7), 1297. https://doi.org/10.3390/agronomy11071297
48. Şimşekoğlu, Ö., & Lajunen, T. (2008). Social psychology of seat belt use: A comparison of theory of planned behavior and health belief model. Transportation Research Part F: Traffic Psychology and Behaviour, 11(3), 181-191. https://doi.org/10.1016/j.trf.2007.10.001
49. Smith P, House JI, Bustamante M, Sobocká J, Harper R, Pan G, West PC, Clark JM, Adhya T, Rumpel C, Paustian K, Kuikman P, Cotrufo MF, Elliott JA, McDowell R, Griffiths RI, Asakawa S, Bondeau A, Jain AK, Meersmans J, Pugh TA. (2016). Global change pressures on soils from land use and management. Global change biology, 22(3), 1008-1028. https://doi.org/10.1111/gcb.13068
50. Smith, P., House, J.I., Bustamante, M., Sobocká, J., Harper, R., Pan, G., West, P., Clark, J., Adhya, T., Rumpel, C.,
51. Straub, C.L., & Leahy, J.E. (2014). Application of a modified health belief model to the pro‐environmental behavior of private well water testing. JAWRA Journal of the American Water Resources Association, 50(6), 1515-1526. https://doi.org/10.1111/jawr.12217
52. Strydom, W.F. (2018). Applying the theory of planned behavior to recycling behavior in South Africa. Recycling, 3(3), 43. https://doi.org/10.3390/recycling3030043
53. Taflinger, S., & Sattler, S. (2024). A situational test of the Health Belief Model: How perceived susceptibility mediates the effects of the environment on behavioral intentions. Social Science and Medicine, 116715. https://doi.org/10.1016/j.socscimed.2024.116715
54. Vassallo, M., Saba, A., Arvola, A., Dean, M., Messina, F., Winkelmann, M., & Shepherd, R. (2009). Willingness to use functional breads. Applying the Health Belief Model across four European countries. Appetite, 52(2), 452-460. https://doi.org/10.1016/j.appet.2008.12.008
55. Wang, Y., & Zhao, G. (2019). Life cycle assessment of potential pollutant-induced human capital loss caused by different agricultural production systems in Beijing, China. Journal of Cleaner Production, 240, 118141. https://doi.org/10.1016/j.jclepro.2019.118141
56. Wang, Y., Yang, J., Liang, J., Qiang, Y., Fang, S., Gao, M., Fan, X., Zhang, B., & Feng, Y. (2018). Analysis of the environmental behavior of farmers for non-point source pollution control and management in a water source protection area in China. Science of the Total Environment, 633, 1126-1135. https://doi.org/10.1016/j.scitotenv.2018.03.273
57. Wang, Y., Zhou, S., & Jiang, G. (2023). Can the application of environmentally friendly fertilisers reduce agricultural labour input? Empirical evidence from peanut farmers in China. Sustainability, 15(4), 2989. https://doi.org/3390/su15042989
58. Yazdanpanah, M., Moghadam, M.T., Zobeidi, T., Turetta, A.P.D., Eufemia, L., & Sieber, S. (2022). What factors contribute to conversion to organic farming? Consideration of the Health Belief Model in relation to the uptake of organic farming by Iranian farmers. Journal of Environmental Planning and Management, 65(5), 907-929. https://doi.org/10.1080/09640568.2021.1917348
59. Zhai, L., Zhang, L., Cui, Y., Zhai, L., Zheng, M., Yao, Y., Zhang, J., Hou, W., Wu, H., & Jia, X. (2024). Combined application of organic fertilizer and chemical fertilizer alleviates the kernel position effect in summer maize by promoting post-silking nitrogen uptake and dry matter accumulation. Journal of Integrative Agriculture, 23(4), 1179-1194. https://doi.org/10.1016/j.jia.2023.05.003