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:: دوره 22، شماره 2 - ( تابستان 1399 ) ::
جلد 22 شماره 2 صفحات 151-140 برگشت به فهرست نسخه ها
ارزیابی اثر پراکنش مکانی علف‌های هرز بر عملکرد دانه عدس (.Lens culinaris L) در شرایط دیم
نگین زرگریان ، علیرضا باقری ، ایرج نصرتی ، فرزاد مندنی
پردیس کشاورزی و منابع طبیعی، دانشگاه رازی
چکیده:   (2262 مشاهده)
علف­های هرز یکی از مهم­ترین عوامل کاهش عملکرد در گیاهان خانواده بقولات هستند، بنابراین آگاهی از برهمکنش علف‌های هرز و گیاه زراعی و نیز شناخت الگوی نوسانات مکانی آن‌ها در مزرعه برای کاهش خسارت آنها بر گیاهان زراعی حائز اهمیت است. به منظور ارزیابی اثر علف­های هرز بر عملکرد دانه عدس و بررسی الگوی توزیع مکانی آن‌ها، آزمایشی طی سال زراعی 95-1394 در مزرعه تحقیقاتی پردیس کشاورزی و منابع طبیعی دانشگاه رازی اجرا شد. نمونه­برداری سیستماتیک از صفات و شاخص‌های علف­­های هرز شامل تراکم، درصد تاج پوشش، ارتفاع و وزن خشک بوته و گیاه عدس شامل درصد تاج پوشش و عملکرد دانه در دو مرحله قبل از گلدهی و در زمان رسیدگی فیزیولوژیکی عدس انجام شد. روابط بین علف­های هرز و عملکرد دانه عدس با استفاده از روابط رگرسیونی و نقشه‌های مربوط به صفات علف‌های هرز و عدس نیز با استفاده از روش درون‌یابی کریجینگ استخراج شدند. نتایج نشان داد که با افزایش تراکم و درصد تاج پوشش علف‌های هرز از صفر تا 10 (بوته در  متر مربع و یا درصد) عمکرد عدس به ترتیب 2/6 و 7/6 گرم در متر مربع کاهش یافت. افزایش وزن خشک علف علف‌های هرز از صفر تا 10 گرم در متر مربع  منجر به کاهش عملکرد عدس به مقدار 4/2 گرم در متر مربع شد. نقشه­های توزیع مکانی نیز نشان‌دهنده تغییرات مکانی عملکرد دانه عدس تحت تأثیر علف­های هرز بود. نتایج این تحقیق نشان داد که استفاده از نقشه­های مکانی صفات و شاخص‌های علف‌های هرز و عدس در کنار روش‌های مرسوم، روش تکمیلی دقیق و مناسبی جهت درک و تفسیر بهتر روابط بین آن‌ها است.
واژه‌های کلیدی: بقولات، رقابت علف‌های هرز، زمین‌آمار، کاهش عملکرد و عدس
متن کامل [PDF 833 kb]   (751 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: تخصصي
دریافت: 1397/7/29 | پذیرش: 1399/6/10 | انتشار: 1399/6/10
فهرست منابع
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Weed Sci. 65(1): 61-72.##Cierjacks, A., M. Pommeranz, K. Schulz and J. Almeida-Cortez. 2016. Is crop yield related to weed species diversity and biomass in coconut and banana fields of northeastern Brazil? Agric. Ecosyst. Environ. 220:175-183.##Erman, M., I. Tepe, B. Bukun, R. Yergin and M. Taskesen. 2008. Critical period of weed control in winter lentil under non-irrigated conditions in Turkey. Afr. J. Agric. Res. 3(8): 523-530.##Esfandiari H and S. H. Hashemi Jozi. 2002. Effect of plant density and herbicide application on weed control in bean. 7th Iranian Congress of Agricultural Sciences and Plant Breeding, 5-7 Sep. 2002, Seed and Plant Improvement Institute. Karaj. (In Persian with English abstract).##Fahad, S., S. Hussain, S. Saud, S. Hassan, H. Muhammad, D. Shan, C. Chen, C. Wu, D. Xiong and S. Khan. 2014. Consequences of narrow crop row spacing and delayed Echinochloa colona and Trianthema portulacastrum emergence for weed growth and crop yield loss in maize. Weed Res. 54(5): 475-483.##Gerhards, R., D. Dicke and H. Oebel. 2005. Testing and analysing decision rules for site-specific weed control in malt barley (Hordeum vulgare L.) using a geographic information system. J. Plant Dis. Protec. 112(5): 447-456. ##Heisel, T., A. K. Ersbøll and C. Andreasen. 1999. Weed mapping with Co-Kriging using soil properties. Precision Agric. 1(1): 39-52.##Koller, M. and W. T. Lanini. 2005. Site-specific herbicide applications based on weed maps provide effective control. California Agric. 59(3): 182-187.##Lehnhoff, E. A., Z. J. Miller, M. J. Brelsford, S. White and B. D. Maxwell. 2013. Relative canopy height influences wild oat (Avena fatua) seed viability, dormancy, and germination. Weed Sci 61(4): 564-569.##Liebman, M. and E. Dyck. 1993. Crop rotation and intercropping strategies for weed management. Ecol. Appl. 3(1): 92-122.##Liu, Y., J. Lv, B. Zhang and J. Bi. 2013. Spatial multi-scale variability of soil nutrients in relation to environmental factors in a typical agricultural region. Eastern China. Sci. Total Environ. 450:108-119.##Makarian H and R. Hosseini 2010. Spatial distribution of weeds and its effect on wheat (Triticum aestivum L.) biomass. J.Crop Prod. 3 (4): 31-47. (In Persian with English abstract).##Makarian, H. and a. Rohani. 2014. Determination of weed spatial distribution based on damage threshold in two winter wheat (Triticum aestivum L.) fields in Shahrood region. J. Plant Prod. Res. 21(3): 51-73. (In Persian with English abstract)##Milberg, P. and E. Hallgren. 2004. Yield loss due to weeds in cereals and its large-scale variability in Sweden. Field Crop Res. 86(2): 199-209.##Mohammadi, J. 1999. Study of the spatial variability of soil salinity in Ramhormoz area (Khuzestan) using geostatistical theory Il. Cokriging. J. Water Soil Sci. 3(1): 1-8. (In Persian with English abstract)##Myers, M. W., W. S. Curran, M. J. Vangessel, B. A. Majek, B. A. Scott, D. A. Mortensen, D. D. Calvin, H. D. Karsten and G. W. Roth. 2005. The effect of weed density and application timing on weed control and corn grain yield. Weed Technol. 19(1): 102-107.##Rajcan, I., K. J. Chandler and C. J. Swanton. 2004. Red-far-red ratio of reflected light: a hypothesis of why early-season weed control is important in corn. Weed Sci. 52(5): 774-778.##Sarker, A. and W. Erskine. 2006. Recent progress in the ancient lentil. J. Agric. Sci. 144(1): 19-29.##Saxena M., K. Subramanyam and D. Yadav. 1976. Chemical and mechanical control of weeds in gram (Cicer arietinum L.). Pantnagar J. Res. 1: 112-116. ##Schroeder, J., S. H. Thomas and L. W. Murray. 2005. Impacts of crop pests on weeds and weed-crop interactions. Weed Sci. 53(6): 918-922.##Seyed Jalali, S. A. and M. Shorafa. 2016. Application of Kriging and Cokriging in predicting wheat yield using principle component analysis. Sci J. Manage. Sys. 9(2): 213-224.##Siah Marguee , A., M. H. Rashed Mohassel, M. Nasiri Mahallati, M. Banayan Awal and H. Mashhadi. 2006. Evaluation of spatial variation of weeds and their response to imposed managements in a sugar beet field in Mashhad. J. Water. Soil. Sci.. 10(3): 361-374. (In Persian with English abstract)##Song, J. S., J. W. Kim, J. H. Im, K. J. Lee, B. W. Lee and D. S. Kim. 2017. The effects of single and multiple weed interference on soybean yield in the far-eastern region of Russia. Weed Sci. 65(3): 371-380.##Thorp, K. R. and L. F. Tian. 2004. A Review on remote sensing of weeds in agriculture. Precision Agric. 5(5): 477-508.##Walter, A. M., S. Christensen and S. E. Simmelsgaard. 2002. Spatial correlation between weed species densities and soil properties. Weed Res. 42(1): 26-38.##Yenish J. P., J. Brand, M. Pala and A. Haddad. 2009. Weed Management In Lentil. In: Erskine, W., Muehlbauer, F., Sarker, A., Sharma, B. (Eds.), The Lentil: Botany, Production and Uses. MPG Books Group, Wallingford, UK.##
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Zargarian N, Bagheri A, Nosratti I, Mondani F. Evaluation of the effect of spatial distribution of weeds on seed yield of lentil (Lens culinaris L.) in rainfed conditions. علوم زراعی 2020; 22 (2) :140-151
URL: http://agrobreedjournal.ir/article-1-913-fa.html

زرگریان نگین، باقری علیرضا، نصرتی ایرج، مندنی فرزاد. ارزیابی اثر پراکنش مکانی علف‌های هرز بر عملکرد دانه عدس (.Lens culinaris L) در شرایط دیم. نشریه علوم زراعی ایران. 1399; 22 (2) :140-151

URL: http://agrobreedjournal.ir/article-1-913-fa.html



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دوره 22، شماره 2 - ( تابستان 1399 ) برگشت به فهرست نسخه ها
نشریه علوم زراعی ایران Iranian Journal of Crop Sciences
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