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بررسی عوامل مؤثر در خلأ عملکرد برنج استان مازندران | ||
| به زراعی کشاورزی | ||
| مقاله 15، دوره 24، شماره 1، فروردین 1401، صفحه 205-217 اصل مقاله (775.01 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jci.2022.320259.2527 | ||
| نویسندگان | ||
| وجیهه امینی ماندی* 1؛ علی نخزری مقدم2؛ علی راحمی کاریزکی2؛ معصومه نعیمی2 | ||
| 1دانشجوی دکتری، گروه تولیدات گیاهی، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبد کاووس، ایران. | ||
| 2استادیار، گروه تولیدات گیاهی، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبد کاووس، ایران. | ||
| چکیده | ||
| این مطالعه به‌منظور بررسی عوامل تأثیرگذار بر خلأ عملکرد برنج در منطقه جویبار واقع در استان مازندران با استفاده از دو روش آنالیز خط مرزی و نیز تحلیل مقایسه کارکرد در سالهای زراعی 97-1396 و 98-1397 به‌صورت میدانی و مصاحبه حضوری با کشاورزان اجرا شد. در این راستا، به‌صورت کلی 120 مزرعه برنج واقع در محدوده جغرافیایی موردمطالعه در هر سال زراعی به‌‌گونه‌ای تعیین شدند که از نظر مکانی و زمانی دارای تنوع کافی باشند. در روش تحلیل مقایسه عملکرد، رابطه موجود بین عملکرد با متغیرهای کمی و کیفی اندازهگیریشده، با استفاده از روش رگرسیون چندگانه موردبررسی قرار گرفت. در روش آنالیز خط مرزی، براساس پروتکل پیشنهاد شده، یک خط مرزی به داده‌ها در نمودار پراکنش داده‌ها برازش داده شد. نتایج نشان داد که براساس تحلیل مقایسه کارکرد، خلأ عملکرد مزارع برنج در منطقه جویبار 1842 کیلوگرم در هکتار و تاریخ برداشت مهم‌ترین عامل خلأ عملکرد برنج بود. هم‌چنین، براساس تجزیه و تحلیل خط مرزی، خلأ عملکرد مزارع برنج در این منطقه، به میزان 874 کیلوگرم در هکتار و مبارزه زیستی مهم‌ترین عامل خلأ عملکرد برنج بود. بنابراین، نظارت و ارزیابی مداوم مدیریت محصولات زراعی در مزارع کشاورزان و شناسایی و از بین‌بردن یا کاهش خلأ عملکرد و عوامل مدیریتی ایجادکننده آن ضروری است. | ||
| کلیدواژه‌ها | ||
| افزایش عملکرد؛ تحلیل مقایسه کارکرد؛ روش خط مرزی؛ شلتوک برنج؛ عملکرد بالقوه | ||
| عنوان مقاله [English] | ||
| Investigation of the effective factors on yield gap of rice in Mazandaran province | ||
| نویسندگان [English] | ||
| Vajiheh Amini Mandi1؛ Ali Nakhzari Moghaddam2؛ ali Rahemi karizaki2؛ Masoumeh Naeemi2 | ||
| 1Ph.D. Student, Department of Plant Production, Faculty of Agricultural Sciences and Natural Resources, Gonbad Kavous University, Gonbad Kavous, Iran. | ||
| 2Assistant Professor, Department of Plant Production, Faculty of Agricultural Sciences and Natural Resources, Gonbad Kavous University, Gonbad Kavous, Iran. | ||
| چکیده [English] | ||
| This study is conducted to investigate the influential factors on rice yield gap in the Joibar Region, located in Mazandaran Province, by means of two methods of boundary line analysis and comparative performance analysis, in the cropping years of 2017-18 and 2018-19. It is carried out through fieldwork and face-to-face interviews with farmers, for which purpose, totally 120 rice fields located in the studied geographical area in each crop year have been selected in such a way that they had sufficient diversity in terms of location and time. In the comparative performance analysis method, the relation between yield and all measured quantitative and qualitative variables are examined, using multiple regression method. According to the suggested protocol in the boundary line analysis method, a boundary line is fitted to the data in the data distribution diagram. Results show that according to the yield comparative performance analysis model, the yield gap of Joibar rice fields has been 1842 kg/ha, and the harvest date has played the most important role in rice yield gap. Also, according to the findings of border line analysis, the yield gap of rice fields in this region has been 874 kg/ha with the biological control being the most important factor in rice yield gap. Therefore, continuous monitoring and evaluation of crop management on farmers' fields and its identification is essential to eliminate yield gaps along with the management factors causing them. | ||
| کلیدواژه‌ها [English] | ||
| Boundary line analysis, Comparative performance analysis, Paddy rice, Potential yield, Yield improve | ||
| مراجع | ||
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Ahmadi, K., Gholizade, H., Ebadzade, H. R., Hosseinpour, R., Hatami, F., Fazli, B., Kazemian, A., & Rafiei, M. (2020). Agricultural Statistics. Ministry of Jihad-e-Agriculture, Deputy for Planning and Economy. Information and Communication Technology Center. First volume. Crops, 2019-2020 growing season. 117 p. Anderson, W., Johansen, C., & Siddique, K. H. (2016). Addressing the yield gap in rainfed crops: A review. Agronomy and Sustainable Development, 36(1), 18-26. Dastan, S., Soltani, A., & Alimagham, M. (2017). Documenting the process of local rice varieties production in two conventional and semi-mechanized planting methods in Mazandaran province. Cereal Research, 7(4), 485-502. Fischer, R. A. (2015). Definitions and determination of crop yield, yield gaps, and of rates of change. Field Crops Research, 182, 9-18. Espe, M. B., Cassman, K. G., Yang, H., Guilpart, N., Grassini, P., Van Wart, J., Anders, M., Beighley, D., Harrell, D., Linscombe, S., & McKenzie, K. (2016a). Yield gap analysis of US rice production systems shows opportunities for improvement. Field Crops Research, 196, 276-283. Beza, E., Silva, J. V. Kooistra, L., & Reidsma, P. (2017). Review of yield gap explaining factors and opportunities for alternative data collection approaches. Europian Journal of Agronomy, 82, 206-222. Espe, M. B., Yang, H., Cassman, K. G., Guilpart, N., Sharifi, H., & Linquist, B. A. (2016b). Estimating yield potential in temperate high-yielding, direct-seeded US rice production systems. Field Crops Research, 193, 123132. FAO. (2019). FAO rice market monitor (RMM). Retrieved from: http://www.fao.org/economic/est/publications/ricepublications/rice-market-monitor-rmm/en/. Gorjizad, A., Dastan, S., Soltani, A., & Norouzi, H. A. (2019a). Evaluation of potential yield and yield gap associated with crop management in improved rice cultivars in Neka region. Agroecology Journal, 11(1), 277-294. Gorjizad, A., Dastan, S., Soltani, A., & Norouzi, H. A. (2019b). Large scale assessment of the production process and rice yield gap analysis by comparative performance analysis and boundary-line analysis methods. Italian Journal of Agronomy, 14(2), 123-131. Guilpart, N., Grassini, P., Sadras, V.O., Timsina, J., & Cassman, K. G. (2017). Estimating yield gaps at the cropping system level. Field Crops Research, 206, 21-32. Habibi, E., Niknejad, Y., Fallah, H., Dastan, S., & Barari, D. (2019a). Estimation of yield gap of rice by comparative performance analysis (CPA) in the Amol and Rasht regions. Journal of Plant Production, 42(3), 551-562. Habibi, E., Niknejad, Y., Fallah, H., Dastan, S., & Barari, D. (2019b). Life cycle assessment of rice production systems in different paddy field size levels in north of Iran. Environment, Monitoring and Assessment, 191, 202-210. Halalkhor, S., Dastan, S., Soltani, A., & Ajam Norouzi, H. (2018). Documenting the process of rice production and yield gap associated with crop management in local cultivars of rice production (case study: Mazandaran province, Babol region). Journal of Crops Improvement, 20(2), 397-418. (In Persian). Nalley, L., Tack, J., Barkley, A., Jagadish, K., & Brye, K. (2016). Quantifying the agronomic and economic performance of hybrid and conventional rice varieties. Agronomy Journal, 108(4), 1514-1523. Nezamzadeh, E., Dastan, S., Soltani, A., & Ajam Norouzi, H. (2019). Evaluation of yield gap associated with crop management in rapeseed production using comparative performance analysis (CPA) and boundary- line analysis (BLA) methods in Neka region. Appl. Field Crops Research, In Press. (In Persian). Reidsma, P., & Jeuffroy, M. H. (2017). Farming systems analysis and design for sustainable intensification: New methods and assessments. Europian Journal of Agronomy, 82, 203-205. Rezvntalab, N., Dastan, S., & Soltani, A. (2019). Identification of yield constraints and yield gap monitoring of local rice (Oryza sativa L.) cultivars in Mazandaran province. Iranian Journal of Crop Science, 21(2), In Press (In Persian). Silva, J. V., Reidsma, P., Laborte, A. G., & van Ittersum, M. K. (2017). Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modeling. Europian Journal of Agronomy, 82, 223-241. Soltani, A., Hajjarpoor, A., & Vadez, V. (2016). Analysis of chickpea yield gap and water-limited potential yield in Iran. Field Crops Research, 185, 21-30. Thenmozhi, S., Uma, D., & Vikram, K. (2016). Quantifying yield gap of rice production in various regions of Karnataka. In 2016 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) (pp. 136-140). Ward, P.R., & Siddique, K.H. (2015). Conservation agriculture in Australia and New Zealand. In Conservation agriculture (pp. 335-355). Springer, Cham. Xu, X., He, P., Zhao, S., Qiu, S., Johnston, A. M., & Zhou, W. (2016). Quantification of yield gap and nutrient use efficiency of irrigated rice in China. Field Crops Research, 186, 58-65. Yadi, R., Ebrahimi, M., & Dastan, S. (2017). Phenological traits and grain yield of rice genotypes in three cropping systems. International Journal of Tropical Mediterean, 12(1), 36-40. Yousefian, M., Dastan, S., Soltani, A., & Ajam Norouzi, H. (2018). Estimation of yield gap in local rice cultivars by using CPA and BLF methods (case study: Mazandaran province, Sari region). Journal of Crop Management, 10(3), 265-288. Yousefian, M., Soltani, A., Dastan, S., & Ajamnoroozi, H. (2019). Documenting production process and the ranking factors causing yield gap in rice fields in Sari, Iran. Iran Agricultural Research, 38(1), 101-109. | ||
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