| تعداد نشریات | 284 |
| تعداد نشریات سازمان | 82 |
| تعداد شماره‌ها | 3,036 |
| تعداد مقالات | 33,971 |
| تعداد مشاهده مقاله | 45,669,878 |
| تعداد دریافت فایل اصل مقاله | 76,687,010 |
ارزیابی کمی و تعیین رابطه‌ی بین وقوع و شدت بیماری پوسیدگی اسکلروتینیایی ساقه کلزا در استان مازندران | ||
| آفات و بیماری های گیاهی | ||
| مقاله 5، دوره 86، شماره 2 - شماره پیاپی 107، اسفند 1397، صفحه 171-184 اصل مقاله (500.27 K) | ||
| نوع مقاله: بیماری‌شناسی گیاهی | ||
| شناسه دیجیتال (DOI): 10.22092/jaep.2019.121632.1222 | ||
| نویسندگان | ||
| رضاپور مهدی علمدارلو* 1؛ محمد سالاری2؛ محمدعلی آقاجانی3؛ ناصر پنجه که4؛ سیدکاظم صباغ5 | ||
| 1گروه گیاهپزشکی، دانشکده کشاورزی، دانشگاه زابل، زابل. | ||
| 2دانشیار گروه گیاهپزشکی، دانشکده کشاورزی، دانشگاه زابل | ||
| 3بخش تحقیقات گیاهپزشکی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، گرگان | ||
| 4دانشیار، گروه گیاهپزشکی دانشگاه زابل | ||
| 5گروه زیست شناسی، دانشگاه یزد | ||
| چکیده | ||
| پوسیدگی اسکلروتینیایی ساقه از بیماری‌های مهم کلزا در دنیا و ایران می‌باشد. با هدف اندازه‌گیری وقوع و شدت بیماری و تعیین رابطه‌ی بین آن‌ها، 240 مزرعه‌ی کلزا طی سال‌های 1390،1389، 1394 و 1395 در استان مازندران بررسی شد و در بازدیدهای هفتگی میزان بیماری در آن‌ها یادداشت شد. از لحاظ وقوع و شدت نهایی بیماری، بین مناطق و سال‌های تحقیق اختلاف معنی‌دار (P<0.01) وجود داشت. بیشترین مقدار وقوع و شدت (02/34 و 70/23 درصد) در سال 1395 و کمترین آن‌ها (85/12 و 32/6 درصد) در سال 1394 بود. بین مناطق نیز گلوگاه و ساری به‌ترتیب بیشترین و کمترین آلودگی به بیماری را داشتند. جهت تعیین رابطه‌ی بین دو کمیّت فوق، داده‌های مربوطه، از طریق تجزیه رگرسیون خطی با مدل‌های مختلف ریاضی برازش شد. براساس آماره‌هایی مانند ضریب تبیین (R2) و خطای استاندارد برآوردها، مدل‌های خطی، آلومتری و ریشه مربع، برازش خوبی با داده‌ها نشان دادند. مدل خطی با توجه به ساده‌تر بودن و داشتن پیچیدگی محاسباتی کمتر، به عنوان مدل نهایی انتخاب شد. از لحاظ شیب معادله‌ی مدل خطی، بین چهار سال تحقیق اختلاف معنی‌دار (P<0.01) مشاهده شد. معادله‌ی این مدل برای سال‌های 1389 و 1395 به‌صورت S=0.72(I)-0.99 و برای سال‌های 1390 و 1394 به‌صورت S=0.55(I)-0.61 بود. شرایط آب و هوایی تأثیر معنی‌داری روی مقدار آلودگی به‌بیماری در سال‌های مختلف داشت. | ||
| کلیدواژه‌ها | ||
| اپیدمیولوژی؛ بیماری‌های کلزا؛ شدت؛ وقوع؛ Sclerotinia sclerotiorum | ||
| عنوان مقاله [English] | ||
| Quantitative assessment and determination the relationship between incidence and severity of rapeseed Sclerotinia stem rot disease in Mazandaran province | ||
| نویسندگان [English] | ||
| Rezapoor Mehdi Alamdarlou1؛ Mohammad Salari2؛ Mohammad Ali Aghajani3؛ Naser Panjehkeh4؛ Seyed KAZem Sabbagh5 | ||
| 1Department of plant protection, Faculty of Agriculture. Zabol university, Zabol | ||
| 2Associate Proferror of Plant protection, Faculty of Agriculture, university of zabol | ||
| 3Dept. of Plant Protection Research, Agriculture and Natural Resources Research and Education Center of Golestan Province, Gorgan | ||
| 4Associate Professor, Department of plant protection, college of Agriculture, Zabol University | ||
| 5Department of Biology, Campus of Science, Yazd University | ||
| چکیده [English] | ||
| Sclerotinia stem rot is a rapeseed important disease in the world and Iran. For measuring disease incidence and severity and determination relationship between them, 240 rapeseed fields were investigated in Mazandaran province during years 2010, 2011, 2015 and 2016, and their disease amounts recorded in weekly surveys. Based on final incidence and severity, there were significant differences (P<0.01) between regions and years. The highest incidence and severity (34.02 and 23.70 percent) was in year 2016 and the lowest of them (12.85 and 6.32 percent) in year 2015. Between regions, Galogah and Sari had the highest and lowest disease infection respectively. In order to determine relationship between two mentioned quantities, the related data, were fitted with different mathematical models by linear regression analysis method. Based on statistical analyses such as coefficient of determination (R2) and standard error of estimates, linear allometric and square root models had good fitness with data. The linear model was selected as the final model because of the simplicity and having low computational complexity. Based on slope of linear model equation, there was significant difference (P<0.01) between four years of investigation. The equation of the model for years 2010 and 2016 was S=0.72(I)-0.99 and for years 2011 and 2015 was S=0.55(I)–0.61. Weather conditions had significant effects on disease infection in different years. | ||
| کلیدواژه‌ها [English] | ||
| Epidemiology, Rapeseed diseases, Severity, Incidence, Sclerotinia sclerotiorum | ||
| مراجع | ||
|
AFSHARI AZAD, H. 2001. Important diseases of canola. Agricultural Education Press. (In Persian) AFSHARI AZAD, H. and M. R. CHEGINI, 2005. Management of sclerotinia stem rot of canola. Plant Protection Institute of Iran. (In Persian) AGHAJANI, M. A., N. SAFAEI and A. ALIZADEH, 2008. Study on the epidemiology of sclerotinia stem rot disease of canola in Golestan province. Ph.D. Thesis. Faculty of Agriculture, Tarbiat Modarres University, Iran. (In Persian) AGHAJANI, M. A., N. SAFAEI and A. ALIZADEH, 2013. Sclerotinia stem rot disease of canola in Golestan province. Research in Plant Pathology, 1(3): 31-40. (In Persian with English abstract) ARABI, M. I. E. and M. JAWHAR, 2010. Inter relationship between incidence and severity of leaf stripe on barley. Journal of Plant Pathology, 92(2): 503-505 ARABI, M. I. E., E. AL-SHEHADAH and M. JAWHAR, 2015. A Simple approach to assess common root rot severity incidence data in wheat. Advances in Horticultural Science, 29(1): 37-40. ASARE-BEDIAKO, E., A. KVARNHEDEN, G. C. VAN DER PUIJE, K. J. TAAH, K. AGYEI FRIMPONG, G. AMENORPE, A. APPIAH-KUBI, J. N. L. LAMPTEY, A. OPPONG, M. B. MOCHIAH, I. ADAMA and F. M. TETTEH, 2017. Spatio-Temporal Variations in the Incidence and Severity of Maize Streak Disease in the Volta Region of Ghana. Journal of Plant Pathology & Microbiology, 8(3): 401. BARARI, H., H. ZAMANI ZADEH, D. ERSHAD and A. R. FOROUTAN, 2000. Distribution of sclerotinia stem rot of canola in Mazandaran province. In: Proceeding of the Iranian 14th Plant Protection Congress, 5-8 Sep., Isfahan University, Iran, P 295. BOCK, C. H. and F. W. NUTTER, 2011. Detection and measurement of plant disease symptoms using visible-wavelength photography and image analysis. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 6: 1-15. BOM, M. and G. L. BOLAND, 2000. Evaluation of disease forecasting variables for sclerotinia stem rot (Sclerotinia sclerotiorum) of canola. Canadian Journal of Plant Science, 80: 889-898. BRADLEY, C. A., R. A. HENSON, P. M. PORTER, D. G. LEGARE, L. E. DEL RÍO and S. D. KHOT, 2006. Response of canola cultivars to Sclerotinia sclerotiorum in controlled and field environments. Plant Disease, 90: 215-219. CAMPBELL, C. L. and L. V. MADDEN, 1990. Introduction to plant disease epidemiology. John Wiley, New York. CARDOSO, J. E., A. A. SANTOS, A. G. ROSSETTI and J. C. VIDAL, 2004. Relationship between incidence and severity of cashew gummosis in semiarid north-eastern Brazil. Plant Pathology, 53: 363-367. CARISSE, O., A. LEFEBVRE, H. VAN DER HEYDEN, L. ROBERGE and L. BRODEUR, 2013. Analysis of incidence–severity relationships for strawberry powdery mildew as influenced by cultivar, cultivar type, and production systems. Plant Disease, 97:354-362. DEL RIO, L. E., C. A. BRADLEY, R. A. HENSON, G. J. ENDRES, B. K. HANSON, K. MCKAY, M. HALVORSON, P. M. PORTER, D. G. LEGARE and H. A. LAMEY, 2007. Impact of Sclerotinia stem rot on yield of canola. Plant Disease, 91: 191-194. GHASEMI, M., M. A. AGHAJANI, A. FARAJI and M. R. SAIDINEJAD, 2013. Relationship between incidence and severity of Alternaria blight disease on different species of Brassica in Gonbad region. Iranian Journal of Plant Pathology, 49(1): 51-60. (In Persian with English abstract) GUPTA, M. and K. SINGH, 2017. Carpogenic germination and viability studies of sclerotia of Sclerotinia sclerotiorum causing lettuce drop. International Journal of Current Microbiology and Applied Sciences, 6(8): 2971-2979. JAMES, W. C. and C. S. SHIH, 1973. Relationship between incidence and severity of powdery mildew and leaf rust of winter wheat. Phytopathology, 63: 183-187. KOCH, S., S. DUNKE, B. KLEINHENZ, M. ROHRIG and A. V. TIEDEMANN, 2007. A crop loss-related forecasting model for Sclerotinia stem rot in winter oilseed rape. Phytopathology, 97: 1186-1194. LI, C. X., K. SIVASITHAMPARAM, G. WALTON, P. FELS and M. J. BARBETTI, 2008. Both incidence and severity of white rust disease reflect host resistance in Brassica juncea germplasm from Australia, China and India. Field Crops Research, 106: 1–8. MAKOWSKI, D., M. TAVERNE, J. BOLOMIER and M. DUCARNE, 2005. Comparison of risk indicators for sclerotinia control in oilseed rape. Crop Protection, 24: 527–531. MARTINELLI, F., R. SCALENGHE, S. DAVINO, S. PANNO, G. SCUDERI, P. RUISI, P. VILLA, D. STROPPIANA, M. BOSCHETTI, L. R. GOULART, C. E. DAVIS and A. M. DANDEKAR, 2015. Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development, 35(1):.1-25. MATHERON, M. E. and M. PORCHAS, 2018. Impact of summer flooding on viability of Sclerotinia minor and S. sclerotiorum sclerotia in soil. Plant Health Progress, 19(1): 15-18. MEHDI ALAMDARLOU, R. and K. GHARAGOZLOU 2003. Rapeseed stem white rot disease. In: Proceeding of the first rapeseed research and development Congress, 5 Jul., Gorgan, Iran, P 43. MEHDI ALAMDARLOU, R., M. A. AGHAJANI, S. A. MAHDIAN and H. BARARI, 2012. Study on the infection status of Sclerotinia stem rot of rapeseed in different regions of Mazandaran province. Iranian Journal of Plant Pathology, 48(2): 237-247. (In Persian with English abstract) NUTTER, F. W., P. D. ESKER and R. A. COELHO NETTO, 2006. Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data. European Journal of Plant Pathology,115:95–103. PAUL, P. A., P. E. LIPPS and L. V. MADDEN 2005. Relationship between visual estimates of Fusarium head blight intensity and deoxynivalenol accumulation in harvested wheat grain: A meta-analysis. Phytopathology, 95: 1225-1236. PEARSE, P. G., R. A. A. MORRALL, D. A. KUTCHER, D. A. KAMINSKI, L. J. DUCZEK, R. K. GUGEL, R. S. RIMER and R. BERARD, 2000. Survey of canola diseases in Saskatchewan, 1999. Canadian Plant Disease Survey, 80: 81-82. RIMER, R. S., V. I. SHATTUCK and L. BUCHWALDT, 2007. Compendium of Brassica Diseases. APS press. ROTHMANN, L. A. and N. W. MCLAREN, 2018. Sclerotinia sclerotiorum disease prediction: A review and potential applications in South Africa. South African Journal of Science, 114(3/4): 31-40. SAHARAN, G. S. and N. MEHTA, 2008. Sclerotinia disease of crop plants: Biology, ecology and disease management. Springer Science+Business Media B.V. SANEI, S. J., S. GHADIRI RAD, A. NOORINIA, N. BAGHERANI, and S. E. RAZAVI, 2010. Rapeseed pathology. Paik Raihan press. (In Persian) SEEM, R. C. 1984. Disease incidence and severity relationships. Annual Review of Phytopathology, 22:133-150. SEEM, R. C. and J. D. GILPATRICK, 1980. Incidence and severity relationships of secondary infections of powdery mildew on apple. Phytopathology, 70: 851-854. SHARMA, P., P. D. MEENA, P. R. VERMA, G. S. SAHARAN, N. MEHTA, D. SINGH and A. KUMAR, 2015. Sclerotinia sclerotiorum (Lib.) de Bary causing Sclerotinia rot in oilseed Brassicas: A review. Journal of Oilseed Brassica,6 (Special): 1-44. SILVA-ACUNA, R., L. A. MAFFIA, L. ZAMBOLIM and R. D. BERGER, 1999. Incidence-severity relationshipsin the pathosystem Coffea arabica–Hemileia vastatrix. Plant Disease, 83: 186-188. SLOPEK, S. W. and M. ANDERSON, 1991. Survey of Sclerotinia stem rot in south-central Alberta, 1990. Canadian Plant Disease Survey, 71: 101. TALIEI, F., N. SAFAIE and M. A. AGHAJANI, 2012. Relationship between Disease Incidence and Severity of Soybean Charcoal Rot in Golestan Province. Journal of Plant Production researches, 19(3): 125-142. (In Persian with English abstract) TURKINGTON, T. K., R. A. A. MORRALL and R. K. GUGEL, 1991. Use of petal infestation to forecast Sclerotinia stem rot of canola: evaluation of early bloom sampling 1985–90. CanadianJournal of Plant Pathology, 13: 50–59. TURKINGTON, T. K. and R. A. A. MORRALL, 1993. Use of petal infestation to forecast Sclerotinia stem rot of canola: the influence of inoculum variation over the flowering period and canopy density. Phytopafhology, 83(6): 682-689. TWENGSTROM, E., R. SIGVALD, C. SVENSSON and J. YUEN, 1998. Forecasting Sclerotinia stem rot in spring sown oilseed rape. Crop Protection, 17: 405-411. WEGULO, S. N., P. SUN, C. A. MARTINSON and X. B. YANG, 2000. Spread of Sclerotinia stem rot of soybean from area and point sources of apothecial inoculum. Canadian Journal of Plant Science, 80: 389–402. YOUSEFDOOST, V. and Y. GHOSTA, 2013. First report of sclerotinia head rot of cabbage in Iran. Iranian Journal of Plant Pathology, 49(3): 361-362. (In Persian with English abstract) ZADOKS, J.C. 1985. On the conceptual basis of crop loss assessment: The threshold theory. Annual Review of Phytopathology, 23:455-473. | ||
|
آمار تعداد مشاهده مقاله: 770 تعداد دریافت فایل اصل مقاله: 537 |
||