پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شماره‌ها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,113,843 |
| تعداد دریافت فایل اصل مقاله | 97,217,547 |
مستندسازی فرآیند تولید و تعیین عوامل محدودکننده عملکرد گندم به روش CPA در شهرستان کلاله | ||
| به زراعی کشاورزی | ||
| مقاله 3، دوره 22، شماره 3، مهر 1399، صفحه 361-372 اصل مقاله (933.61 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jci.2020.284310.2237 | ||
| نویسندگان | ||
| محمد شریف نوبتیانی1؛ علی راحمی کاریزکی* 2؛ عباس بیابانی3؛ علی منصوری راد2 | ||
| 1دانشجوی کارشناسی ارشد، گروه تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی، دانشگاه گنبد کاووس، گنبد کاووس، ایران. | ||
| 2استادیار، گروه تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی دانشگاه گنبد کاووس، گنبد کاووس، ایران. | ||
| 3دانشگاه گنبد کاووس | ||
| چکیده | ||
| این مطالعه به‌منظور ارزیابی عوامل محدودکنندهی عملکرد گندم در شهرستان کلاله با استفاده از روش تحلیل مقایسه کارکرد (CPA) در سال زراعی 95-1394 انجام گردید. جمع‌آوری اطلاعات موردنیاز، به‌صورت میدانی و مصاحبه شخصی با کشاورزان صورت گرفت. بدین منظور، 60 مزرعه گندم مناطق دیم شهرستان کلاله به گونه‌ای انتخاب شدند که دارای تنوع کافی در کلیه عملیات مدیریت زراعی کاشت، داشت و برداشت باشند. مقدار دانه تحویلی به مراکز خرید گندم بعد از تعیین مقدار افت به‌عنوان عملکرد نهایی مزرعه ثبت شد. برای تعیین میزان خلأ عملکرد و شناسایی عوامل ایجادکننده آن از تجزیه مقایسه کارکرد استفاده شد. نتایج حاصل از مدل عملکرد نشان داد که بین عملکرد قابل حصول (1/7248 کیلوگرم در هکتار) و عملکرد واقعی (4/3176 کیلوگرم در هکتار) اختلافی به میزان 7/4071 کیلوگرم در هکتار وجود داشت. از بین متغیرهای مورد بررسی، متغیرهای تجربه کشاورز، میزان بذر مصرفی، مقدار فسفر قابل جذب در خاک، دفعات مصرف قارچ‌کش، مواد آلی خاک، مقدار پتاسیم قابل جذب در خاک و مقدار نیتروژن مصرفی، بیش‌ترین تأثیر را در ایجاد خلأ عملکرد گندم در این منطقه داشتند، که به‌ترتیب 4/19، 8/16، 9/14، 3/14، 7/12، 7/11 و 3/10 درصد از عملکرد قابل حصول را شامل می‌شدند. به نظر می‌رسد که با اصلاح این عوامل می‌توان اختلاف بین عملکرد قابل حصول و عملکرد واقعی را کاهش داد. | ||
| کلیدواژه‌ها | ||
| تجزیه مقایسه کارکرد؛ خلأ عملکرد؛ عملکرد بالقوه؛ عملکرد واقعی؛ مدیریت زراعی | ||
| عنوان مقاله [English] | ||
| Documentation of production process and determination of limiting factors of wheat yield by CPA method in Kalaleh County | ||
| نویسندگان [English] | ||
| Mohammad Sharif Nobatiany1؛ ali Rahemi karizaki2؛ Abbas Biabani3؛ ali mansouri rad2 | ||
| 1M.Sc. Student, Plant Production Department, College of Agriculture and Natural Resources, Gonbad Kavous University, Gonbad Kavous, Iran. | ||
| 2Assistant Professor, Plant Production Department, College of Agriculture and Natural Resources, Gonbad Kavous University, Gonbad Kavous, Iran | ||
| 3Gonbad Kavous University. | ||
| چکیده [English] | ||
| This study was conducted to evaluate the factors limiting wheat yield in Kalaleh County using the Comparative Performance Analysis (CPA) method in 2015-16. Collection of the required information was done by fieldwork, and personal interviews with farmers. To this aim, 60 wheat fields in dry land areas of Kalaleh were selected to have sufficient diversity in all crop management, planting, crop protection and harvesting. The amount of grain delivered to the wheat shopping centers was recorded after determining the amount of drop as the final yield of the farm. The CPA was used to determine the yield gap and identify the factors that caused it. The results of yield model showed that there was a difference of 4071.7 kg between achievable (7248 kg/ha) and actual yield (377.4 kg/ha). Among studied variable, the farmer experience, seeding rate, the amount of phosphorus in soil, frequency of use of fungicide, organic matter of soil, amount of potassium absorbed in soil and amount of applied nitrogen had the most influence on wheat yield gap in the study area, which were 19.4, 16.8, 14.9, 14.3, 12.7, 11.7 and 10.3 percent of the achievable yield. By amending these factors, it seems that it could reduce the difference between achievable yield and actual yield. | ||
| کلیدواژه‌ها [English] | ||
| Comparative performance analysis, crop management, potential yield, actual yield, yield gap | ||
| مراجع | ||
|
Abravan, P., Soltani A., Majidian M., & Mohsenabadi, G.H. (2016). Study of field management factors and underlying reasons limiting yield of oilseed rape in east of Golestan province using CPA method. Agroecology Journal, 7(2), 46-60. (In Persian) Bakhsh, K., Hassan I., & Maqbool, A. (2005). Factors affecting cotton yield: A case study of Maas, E.V.; Sargodha. Journal of Agriculture Social Sciences, 1, 332-334. Begum, M.A., Islam M.A., Ahmed Q.M., Islam M.A., & Rahman, M.M. (2015). Effect of nitrogen and phosphorus on the growth and yield performance of soybean. Research in Agriculture Livestock and Fisheries, 2(1), 35-42. DOI: 10.3329/ralf.v2i1.23027 Dastan, S., Noormohamadi, G., Madani, H., & Soltani, A. (2015). Analysis of Energy Indices in Rice Production Systems in the Neka Region. Journal of Environmental Sciences, 13(1), 53-66. (In Persian) De Bie, C.A.J.M. (2000). Yield gap studies through comparative performance analysis of agroecosystems. International Institute for Aerospace and Earth Science (ITC), Enschede. The Netherlands. 234 p. Fageria, N.K. (2009). The use of nutrients in crop plants. CRC Press. The USA. 430 p. Gorjizad, A., Soltani, A., Dastan, S., & Ajamnoroozi, H. (2019). Evaluation of Potential Yield and Yield Gap Associated with Crop Management in Improved Rice Cultivars in Neka Region. Agroecology journal, 11(1), 277-294. (In Persian) 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. DOI.org/10.1016/j.fcr.2017.02.008 Hajjarpoor, A., Soltani A., Zeinali E., Kashiri H., Aynehband A., & Nazeri, M. (2017). Determination of the optimum managements ranges in order to increasing wheat yield in Golestan province. Journal of Crops Improvement, 19(3), 577-590. (In Persian) Hoffman, G.J. 1977. Crop salt tolerance: current assessment Journal of Irrigation and Drainage Division, 103: 115-134. Lobell, D.B., Cassman, K.G., & Field, C.B. (2009). Crop yield gaps: their importance, magnitudes, and causes. Annual Review of Environment and Resources, 34, 179-204. Doi: org/10.1146/annurev.environ.041008.093740 Nehbandani, A., Soltani A., Zeinali E., & Hoseini, F. (2016). Analyzing soybean yield constraints in Gorgan and Aliabad katul using CPA method. Agroecology Journal, 7(1), 109-123. (In Persian) Nekahi, M.Z., Soltani A., Siyahmarguee A., & Bagherani, N. (2014). Yield gap associated with crop management in wheat: Case study, Golestan province-Bandar Gaz. Electronic Journal of Crop Production, 7(2), 135-136. (In Persian). Patrick, M., Tenywa, J.S., Ebanyat, P., Tenywa, M.M., & Mubiru, D.N. (2013). Soil Organic Carbon Thresholds and Nitrogen Management in Tropical Agroecosystems: Concepts and Prospects. Journal of Sustainable Development, 16, 31-41. DOI: 10.5539/jsd.v6n12p31 Poori, K., Akbari F., Kamkar, B. (2012). The effect of different crop residues and soil compound on potassium concentration of leaf and wheat yield. Journal of Plant Production, 19(4), 207-212. (In Persian) Pradhan, R. (2004). The effect of land and management aspects on maize yield. International Institute for Geo-Information Science and Earth Observation Enschede (ITC). The Netherlands. 52 p. Rajapakse, D.C. (2003). Biophysical factors defining rice yield gaps. International Institute for Geo-Information Science and Earth Observation Enschede (ITC). The Netherlands. 80 p. Rezaei, A., & Soltani, A. (1998). An introduction to Applied Regression Analysis, Fourth ed. Isfahan University of Technology, Esfahan, Iran. (In Persian) Shahbazi, K., & Besharati, H. (2013). Overview of Agricultural Soil Fertility Status of Iran. Fields Management Journal. 1(1), 1-15. DOI: 10.22092/LMJ.2013.100072 Singh, P., Vijaya D., Chinh N.T., Pongkanjana A., Prasad K.S., Srinivas K., & Wani, S.P. (2001). Potential productivity and yield gap of selected crops in the rain fed regions of India, Thailand, and Vietnam. Natural Resource Management Program Report no. 5. Patancheru 502 324, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics. 50p. http://oar.icrisat.org/id/eprint/2511 Soltani, A. (2007). Application of SAS in statistical analysis. Mashhad Jahad Daneshgahi Press, Mashhad, Iran. Soltani, A., Galeshi S., & Zeinali, E. (2000). Analysis of the Constraints on Wheat Production in Golestan Province. Report of the research project, Golestan Province Management and Planning Organization. (In Persian) 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. DOI.org/10.1016/j.fcr.2015.10.015 Soltani, A., Torabi B., Galeshi S., & Zeinali, E. (2011). Analyzing Wheat Yield Constraints in Gorgan with Comparative Performance Analysis (CPA) method, Golestan. Research Report, Iran. (In Persian) Tanaka, A., Satio K., Azoma K., & Kobayashi, K. (2013). Factors affecting variation in farm yields of irrigated lowland rice in southern-central Benin. European Journal of Agronomy, 44, 46-53. DOI.org/10.1016/j.eja.2012.08.002 Torabi, B., A. Soltani, S. Galeshi, E. Zeinali & M. Kazemi Korgehei, M. (2013). Ranking factors causing the wheat yield gap in Gorgan. Electronic Journal of Crop Production, 6, 171-189. (In Persian) Torabi, B., Soltani A., Galeshi S., & Zeinali, A. (2012). Analyzing wheat yield constraints in Gorgan. Journal of Crop Production, 4(4), 1-17. (In Persian) Yousefian, M., Dastan, S., Soltani, A., & Ajamnorouzi, H. (2018). Estimation of yield gap in local rice cultivars by using CPA and BLF methods (Case study: Mazandaran province, Sari region). Journal of Crops Improvement, 10(3), 267-288. (In Persian). Zeinvand Lorestani, A., Behnam Kamkar B., & Razavi, S.E. (2017). Study on the effect of agricultural management factors on fungal diseases diversity indices and wheat yield in Gorgan using decision tree analysis CART. Cereal Research, 6(4), 489-505. (In Persian) | ||
|
آمار تعداد مشاهده مقاله: 470 تعداد دریافت فایل اصل مقاله: 336 |
||