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تعیین زمان کاشت، پتانسیل عملکرد دانه، شکاف عملکرد و تجزیه خطر تولید گندم در مناطق دیم خوزستان | ||
| به زراعی نهال و بذر | ||
| مقاله 2، دوره 35، شماره 2، آذر 1398، صفحه 159-181 اصل مقاله (1.2 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/sppj.2019.120755 | ||
| نویسنده | ||
| بهرام اندرزیان* | ||
| دانشیار، بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان خوزستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اهواز، ایران. | ||
| چکیده | ||
| استان خوزستان دارای سطح قابلتوجهی گندم دیم است که به علت ناپایداری شرایط آب و هوایی و مدیریت نامطلوب میانگین عملکرد دانه آن کمتر از یک تن در هکتار است. بهمنظور پهنهبندی دیمزارهای استان خوزستان بر اساس زمان کاشت، پتانسیل عملکرد و شکاف عملکرد و تحلیل خطر تولید از مدلهای AquaCrop و CERES-Wheat استفاده شد. دادههای آب و هوایی شهرستانهای دیمخیز بعد از دادهگواری همراه با بافت خاک غالب هر منطقه، به مدل معرفی تا زمان کاشت و پتانسیل عملکرد دانه را برای هر منطقه شبیهسازی نماید. عملکردهای شبیهسازی شده برای مناطق توسط نرمافزار RAINBOW مورد آنالیز خطر قرار گرفتند. سپس همه نتایج به محیط سامانه اطلاعات جغرافیایی (GIS)، منتقل و پهنهبندی انجام شد. نتایج نشان داد که آغاز کاشت در مناطق دیمخیز مرکزی (شوشتر) و شمالی شرقی (ایذه) معمولاً زودتر از مناطق شمالی (دزفول) و جنوب شرقی (بهبهان) شروع میشود و یک تفاوت 15 روزه (اواخر آبان تا 15 آذر) بین آغاز کاشت گندم دیم در مناطق مختلف استان خوزستان وجود دارد. طول دوره رشد از مناطق مرکزی به سمت مناطق شمالی، شمال شرقی و جنوب شرقی افزایش مییابد. بیشترین طول دوره رشد گندم 164 روز (2190 درجه روز رشد) مربوط به ایذه در شمال شرقی استان و کمترین طول دوره رشد گندم 124 روز (1860 درجه روز رشد) مربوط به شهرستان شوشتر در مرکز استان است. نتایج نشان داد که میانگین پتانسیل عملکرد دانه از 2/4 تن در هکتار (ایذه) تا 7/1 تن در هکتار (شوشتر) متغیر بود. پتانسیل عملکرد دانه مناطق از جنوب به سمت شمال، شمال شرق و جنوب شرق دارای روند افزایشی بود و پتانسیل عملکرد دانه هر یک از پهنهها در سالهای مختلف نیز متفاوت بود. نتایج تجزیه خطر نشان داد که خطر تولید در پهنههای مختلف متفاوت بود و پهنههای با پتانسیل عملکرد دانه بالا دارای خطر تولید کمتر بودند. نتایج تجزیه شکاف عملکرد نیز نشان داد که شکاف عملکرد در پهنههای مختلف از 88 درصد (ایذه و بهبهان) تا 66 درصد (شوشتر و دزفول) متغیر بود. بهطورکلی، تاریخ کاشت مناسب گندم دیم در خوزستان در دامنه تاریخ کاشت مناسب گندم آبی ۲۰ آبان لغایت ۲۵ آذر قرار میگیرد، اگرچه زمان کاشت گندم دیم در مقایسه با گندم آبی با ۱۰ روز تأخیر آغاز میشود. پهنههای دارای پتانسیل عملکرد دانه بیشتر دارای شکاف عملکرد بیشتری نیز هستند. برای کمّیسازی سهم هر یک از عوامل مؤثر در ایجاد شکاف عملکرد و بهکارگیری راهکارهای مناسب مدیریت مزرعه برای کاهش شکاف عملکرد دانه پژوهشهای تکمیلی برای ارزیابی مدل در شبیهسازی اثر آب، عناصر غذایی و علفهای هرز ضرورت دارد. | ||
| کلیدواژهها | ||
| گندم؛ پهنهبندی؛ زراعت دیم؛ زمان کاشت؛ مدیریت مزرعه | ||
| عنوان مقاله [English] | ||
| Determination of Sowing Time, Grain Yield Potential, Yield Gap, and Risk Analysis of Wheat Production in Rainfed Regions of Khuzestan Province in Iran | ||
| نویسندگان [English] | ||
| S. B. Andarzian | ||
| Assistant Professor, Field and Horticultural Crops Sciences Research Department, Khuzestan . Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organigation, Ahvaz, Iran. | ||
| چکیده [English] | ||
| Khuzestan province has large areas of rainfed wheat where the average grain yield, due to annual variability in weather conditions and poor management, is less then one ton per hectare. To zoning rainfed wheat areas in Khuzestan based on planting time, yield potential and yield gap as well as production risk the AquaCrop and CERES-Wheat models were used. Long-term daily weather data of each region, after processing, and the dominant soil texture were arranged as models inputs to simulate planting time and yield potential for each region. Risk analysis was performed for models outputs using RAINBOW software. All results moved to Geographical Information System (GIS) for zoning. The results showed that the commencement of sowing time in central (Shushtar) and northeast (Izeh) regions starts 15 days earlier than north (Dezful) and southeast (Behbehan) regions. The longest cropping season with 164 days (2190 GDD) and shortest with 124 days (1860 GDD) belonged to northeast (Izeh) and central (Shushtar) regions, respectively. The results also showed that the average grain yield potential varied from 4.2 (Izeh) to 1.7 (Shushtar) tons per hectare. Average grain yield potential of south to north, northeast and southeast had an increasing trend and it was proportional to the amount of rainfall. The results of risk analysis revealed that production risk varied in different zones, and zones with higher yield potential have lower production risk. The results indicated that yield gap varied from 88% (Izeh and Behbahan) to 66% (Shushtar and Dezful). Areas with higher yield potential had more yield gaps. Overall, suitable sowing time window of wheat in rainfed areas of Khuzestan (from 11 November to 16 December) is the same as sowing time window for irrigated wheat. To quantify the contribution of each factor affecting the yield gap and recommendation of appropriate crop management practices to reduce the gap, further researches are required for evaluating the model for simulating the effects of water, fertilizers and weeds. | ||
| کلیدواژهها [English] | ||
| Wheat, zoning, rainfed, sowing time, crop management | ||
| مراجع | ||
|
Abeledo, L. G., Savin R., and Slafer, G. A. 2008. Wheat productivity in the Mediterranean Ebro Valley: analyzing the gap between attainable and potential yield with a simulation model. European Journal of Agronomy 28: 541-550.
Affholder, F., Poeydebat, C., Corbeel, M., Scopel, E., and Tittonell, P. 2013. The yield gap of major food crops in family agriculture in the tropics: assessment and analysis through field surveys and modelling. Field Crops Research 143: 106-118.
Aggarwal, P. K., Hebbar K. B., Venugopalan, M. V., Rani, S., Bala, A., Biswal, A., and Wani, S. P. 2008. Quantification of yield gaps in rain-fed rice, wheat, cotton and mustard in India. Agricultural Research 35: 743-764.
Andarzian, B., Bakhshandeh, A. M, Bannayan, M., Emam, Y., Fathi, G., and Alami Saeed, K. 2008. WheatPot: a simple model for spring wheat yield potential using monthly weather data. Biosystems Engineering 99 (4): 487-495.
Andarzian, B., Bakhshandeh, A. M., Bannayan, M., and Emam, Y. 2008. Evaluation of the CERES-wheat model under Ahvaz climate conditions. Iranian Field Crops Research 6 (1): 11-22 (in Persian).
Andarzian, B., Bakhshandeh, A. M., Emam, Y., Fathi, G., and Alami Saeed, K. 2007. Modeling and simulation growth, development and yield of wheat. Ph.D. Thesis. Shahid Chamran University of Ahvaz. 180 pp. (in Persian).
Andarzian, B., Bannayan, M., Steduto, P., Mazraeh, H., Barati, M. E., Barati, M. A and Rahnama, A. 2011. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100 (1): 1-8.
Andarzian, B., Hoogenboom, G., Bannayan, M., Shirali, M., and Andarzian, B. 2015. Determining optimum sowing date of wheat using CSM-CERES-Wheat model. The Journal of Saudi Society of Agricultural Science 14 (2): 189-199.
Anonymous, 2007. Yearbook of cultivated area of agricultural crops. Jehad-e- Agriculture Organization of Khuzestan. 131 pp. (in Persian).
Anonymous, 2011. Yearbook of cultivated area of agricultural crops. Jehad-e- Agricultural Organization of Khuzestan. 162 pp. (in Persian).
Araya, A., Keesstra, S. D., Stroosnijder, L. 2010a. Simulating yield response to water of teff (Eragrostis tef) with FAO’s AquaCrop model. Field Crops Research 116: 196-204.
Araya, A., Habtu, S., Hadgu, K. M., Kebede, A., and Dejene, T. 2010b. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management 97: 1838-1846.
Araya, A., Stroosnijer, L., Habut, S., Keestra, D. K., Berhe, M., and Hadgu K. M. 2012. Risk assessment by sowing date for barley in northern Ethiopia. Agricultural Water Management 154: 30-37
Bhatia, V. S., Singh, P., Wani, S. P., Chauhan, G. S., Rao, A.V. R., Mishra, A. K., and Srinivas, K. 2008. Analysis of potential yields and yield gaps of rainfed soybean in India using CROPGRO-Soybean model. Agricultural and Forest Meteorology 148: 1252-1265.
Bussmann, A., Elagib, N. A., Fayyad, M., and Ribbe, L. 2016. Sowing date determinants for sahelian rainfed agriculture in the context of agricultural policies and water management. Agricultural Water Management 52: 316-328
Caldiz, D. O., Gaspari, F. J., Moreno Kiernan, A., and Struik, A. 2002. Agro-ecological zoning at the regional level: spatio-temporal variation in potential yield of the potato crop in the Argentinian patagonia. Agriculture Ecosystems & Environment 88 (1): 3-10.
Deihimfard, R., Nassiri Mahalati, M., and Koocheki, A. 2015. Yield gap analysis in major wheat growing area of Khorasan province, Iran, through crop modelling. Field Crops Research 184: 28-38
· Delghandi, M., Andarzian, B., Boromandnasab, S., Masah Bavani, A., and Javaheri, A. 2014. Evaluation of CERES-wheat for simulating growth, yield and phonological stages of wheat under different irrigation managements. Soil and Water Journal 28 (1): 82-91.
Gharineh, M. H., Bakhshandeh, A. M., Andarzian, B., and Fayezizadeh, N. 2012. Agro-climatic zonation of Khuzestan province based on potential yield of irrigated wheat using WOFOST model. Agroecology 4: 255-264.
Grassini, P., Thorburn, J., Burr. C., and Cassman, K. G. 2011. High-yield irrigated maize in the Western U.S. corn belt: I. on-farm yield, yield potential, and impact of agronomic practices. Field Crops Research 120: 142-150.
Hajarpour, A., Soltani, A., Zeinali, E., Kashiri, H., Ayeneband, A., and Nazari, M. 2017. Determination of optimum management ranges in order to increasing wheat yield in Golestan province. Journal of Crops Improvement 19 (3): 577-590.
Hoogenboom, G., Jones, J. W., Wilkens, R. W., Batcheloro, W. D., Hunt, L. A., Boot, K .J., Singh, U., Uryasev, O., Bowen, W. T., Gijsman, A. J., du Toit, A., White, J. W., and Tsuji, G. Y. 2010. Decision support system for Agro-technology Transfer Version 4.5 [CD- ROM]. University of Hawaii, Honolulu, HI.
Jalal Kamali, M. R., Sharifi, H., Khodarahmi, M., Joukar, R., Torkaman, H., and Qavidel, N. 2007. Variation in developmental stages and its relationship with yield and yield components of bread wheat cultivars under field conditions: I- phenology. Seed and Plant 23 (4): 445-472 (in Persian).
Kamkar, B., Koocheki, A., Nassiri Mahalati, M., and Rezvani moghadam, P. 2007. Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach. Iranian Journal Field Crop Research 5 (2): 332-342 (in Persian).
Koocheki, A., Nassiri Mahalati, M., Mansori, H., and Moradi, A., 2017. Effect of climate and management factors on potential and gap of wheat yield in Iran with using WOFOST model. Iranian Journal of Field Crops Research 15 (2): 244-256 (in Persian).
Lobell, D. B., Cassman, K. G., and Christopher, B. 2009. Crop yield gap: their importance, magnitudes and causes. Annual Review of Enviromental Resources 34: 179-204.
Loffler, C. M., Wei, J., Fast, T., Gogerty, J., Langton, M., Bergman, B., Merrill, B., and Cooper, M. 2005. Classification of maize environments using crop simulation and geographic information systems. Crop Science 45: 1708-1716.
Mhizha, T. 2010. Increase of yield stability by staggering the sowing dates of different varieties of rainfed maize in Zimbabwe. Ph. D. Thesis. Catholic University, Leuven. Zimbabwe. 43 pp.
Mhizha, T., Geerts, S., Vanuytrecht, E., Makarau, A., and Raes, D. 2014. Use of the FAO AquaCrop model in doveloping sowing guidelines for rainfed maize in Zimbabwe. Water SA 40: 233-243
Mugalavai, E. M., Kipkorir, E. C., Raes, D., and Rao, M. S. 2008. Analysis of rainfall onset, cessation and length of growing season for western Kenya. Agricultural and Forest Meteorology 148: 1123-1135.
Naderi, A. 2013. Analysis effect of sowing date on grain yield of wheat genotypes using regression method. Quarterly Journal of Crop Research 2: 5-10 (in Persian).
Nassiri Mahalati, M., and Koocheki, A. 2009. Agroecological zoning of wheat in Khorasan province: estimate of potential production and gap yield. Iranian Journal of Field Crops Research 7 (2): 695-702 (in Persian).
Nassiri Mahalati, M., and Koocheki, A. 2010. Agroecological zoning of wheat in Khorasan province: risk analysis. Iranian Journal of Field Crops Research 8 (2): 298-307 (in Persian).
Oliver, Y., and Robertson, M. 2013. Quantifying the spatial pattern of the yield gap within a farm in a low rainfall Mediterranean climate. Field Crops Research 150: 29-41.
Qingfeng, M., Hou, P., Wu, L., Chen, X., Cui, Z., and Zhang, F. 2013. Understanding production potentials and yield gaps in intensive maize production in China. Field Crops Research 143: 91-97.
Radmehr, M., Lotfali Ayeneh, G., and Mamghani, R. 2005. Investigating response of early, mid and late maturity genotypes of bread wheat to different sowing dates: 1- influence of sowing date on phenologic, morphologic and yield traits of four genotypes of bread wheat. Seed and Plant 21 (2): 175-189 (in Persian).
Raes, D., Sithole, A., Markarau, A., and Milford, J. 2004. Evaluation of first planting date recommended by creteria currently used in Zimbabwe. Agricultural and Forest Meteorology 125: 17-185.
Raes, D., Willems, P., and Gbaguidi, F. 2006. RAINBOW–A software package for hydrometeorological frequency analysis and testing the homogeneity of historical data sets. pp. 15. In: Proceedings of the 4th International Workshop on Sustainable Management of Marginal Drylands. Islamabad, Pakistan.
Singh, P., Vijaya, D., Chinh, N. T., Pongkanjana, A., Parasad, K. S., Srinivas, K., and Wemi, S. P. 2001. Potential productivity and yield gap of selected crops in the rainfed regions of India, Thailand, and Vietnam. Natural Resource Management Program Report No. 5. 50 pp.
Tsegay, A., Vanuytrecht, E., Abraha, B., and Deckers, J. 2015. Sowing and irrigation strategies for improving rainfed Tef (Eragrosis tef) production in the water scarce Trigray region. Agricultural Water Management 150: 81-91
Van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., and Hochman, Z. 2013. Yield gap analysis with local to global relevance – a review. Field Crops Research 143: 4-17.
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