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تعیین دماهای کاردینال جوانهزنی علفهرز مهاجم فرفیون خوابیده maculata) (Euphorbia و مدل هیدروتایم جوانهزنی آن | ||
| علوم و فناوری بذر ایران | ||
| مقاله 7، دوره 9، شماره 2 - شماره پیاپی 18، شهریور 1399، صفحه 87-100 اصل مقاله (1.07 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/ijsst.2019.124011.1237 | ||
| نویسندگان | ||
| شایسته صالحی1؛ مرجان دیانت* 2؛ قربان نورمجمدی3 | ||
| 11- دانشجوی کارشناسی ارشد، گروه علوم باغی و زراعی، دانشکده کشاورزی و صنایع غذایی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران | ||
| 2هیات علمی دانشگاه ازاد اسلامی-واحد علوم و تحقیقات تهران | ||
| 33- استاد، گروه علوم باغی و زراعی، دانشکده کشاورزی و صنایع غذایی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران | ||
| چکیده | ||
| به منظور بررسی مولفههای جوانهزنی و تعیین دماهای کاردینال جوانهزنی بذر علفهرز مهاجم فرفیون خوابیده، بذور در دماهای ثابت 2 تا 45 درجه سانتیگراد قرار گرفتند. نتایج نشان داد که که بذر فرفیون خوابیده در دماهای 2، ٥، ١0، و ٤٥ درجه سانتیگراد جوانه نزد و بهترین دما برای جوانهزنی بذر، دمای 30 درجه سانتیگراد (91 درصد) بود. جهت تخمین دماهای کاردینال ٣ مدل دوتکهای، دندان-مانند، چندجملهای درجه٢ مورد استفاده قرار گرفتند. با توجه به ضریب تبیین و جذر میانگین مربعات خطا، بهترین مدل جهت تعیین دماهای کاردینال جوانهزنی بذر فرفیون خوابیده، مدل خطوط متقاطع بود. دماهای کمینه، بهینه و بیشینه برآورد شده توسط این مدل به ترتیب 80/9، 33/28 و 16/43 درجه سانتیگراد بودند. برای بررسی اثر پتانسیل آب بر جوانهزنی در دمای بهینه 28 درجه سانتیگراد بذور در معرض پتانسیلهای اسمزی (0، 2/0-، 4/0-، 6/0- و 8/0-0 مگاپاسکال) قرار گرفتند. بر اساس مدل سیگموئیدی سه پارامتره مقدار برای سرعت جوانهزنی، طول ریشهچه، طول ساقهچه، طول گیاهچه و وزن تر ریشهچه به ترتیب 53/0، 48/0، 51/0، 48/0 و 52/0 مگاپاسکال بود. ثابت هیدروتایم و پتانسیل آب پایه (آستانه پتانسیل آب برای شروع جوانهزنی) بذرفرفیون خوابیده در دمای 28 درجه سانتیگراد به ترتیب 32/291 مگاپاسکال ساعت و 20/1- مگاپاسکال براساس مدل هیدروتایم بر مبنای توزیع نرمال برآورد شد. بدین ترتیب این علف هرز پتانسیل زیادی برای پراکنش به سایر مناطق از جملهها استانهای دارای اقلیم خشکتر نسبت به گلستان را دارا خواهد بود و اقدامات لازم در جهت جلوگیری از پراکنش آن ضروری میباشد. | ||
| کلیدواژهها | ||
| پتانسیل آب؛ دماهای کاردینال؛ سرعت جوانهزنی؛ مدل هیدروتایم | ||
| عنوان مقاله [English] | ||
| Determination of cardinal temperature of Euphorbia maculata and its hydrothermal model of germination | ||
| نویسندگان [English] | ||
| Shayesteh Salehi1؛ Ghorban Noormohammadi3؛ | ||
| 1M.Sc Student, Department of Agriculture and Food Industry, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 3Professor, Department of Agriculture and Food Industry, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده [English] | ||
| In order to quantify the germination characteristics and determine the cardinal temperature of germination of Euphorbia maculata, seeds were placed at constant temperatures (2- 45 °C). Results showed that seed of E.maculata had no germination at temperatures of 2, 5, 10 and 45 ° C, and the temperature of 30° C was the best temperature for germination seeds (91% Germination percentage). Three models of intersected-line, dent-like segmented and quadratic polynomials were used to estimate the cardinal temperatures. The best model for estimating the cardinal temperatures in E.maculata was intersected-line model with respect to coefficient of determination and mean square error. According to the intersected-line the minimum, optimum and maximum temperatures were calculated 9.8, 28.33 and 43.16 °C. In order to investigate water potential on germination percentage, seeds treated with water potentials (0, -0.2, -0.4, -0.6 and -0.8 MPa) at optimum temperature of 28°C. Baesd on the three-parameter sigmoid method, the value of speed, root length, stem length, seedling fresh weight and dry weight were estimated to be -0.53, -0.48, -0.51, -0.48, -0.52Mpa respectively. According to the hydro-time model based on normal distribution, the hydro-time constant and the base-water potential (which is a threshold for germination beginning) of E.maculata degree were 291.32 (MPa/h) and -1/2 (MPa) at 28 °C, respectively. Thus, this weed species has a great potential for distribution to other areas such as provinces with a dryer climate than Golestan, and the necessary measures to prevent its distribution is necessary. | ||
| کلیدواژهها [English] | ||
| Cardinal temperatures, Germination rate, Hydro-time model, Water potential | ||
| مراجع | ||
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Ansari, A., J. Gherekhloo., F. Ghaderifar., and B. Kamkar. 2017. Quantification of germination response of Malva sylvestris L. to water potential. Envir. St. Crop Sci. 10: 67-77. (In Persian, with English Abstract) Akram-Ghaderi, F. 2008. The study of seed quality development, germination, longevity and deterioration in some medicinal plants: medicinal pumpkin (Cucurbita pepo.Convar.var. styriaca), cumin blank (Nigella sativa L.) and borago (Borago officinalis L.). Ph.D. Thesis, Univer of Gorgan. Agric. Sci. Natur. Resour. Alam, A., A.S. Juraimi, M.Y. Rafii., A. Abdul Hamid, and F. Aslani. 2014. Screening of purslane (Portulaca oleracea L.) accessions for high salt tolerance. Sci. World J. doi: https://doi.org/10.1155/2014/627916 Alimagham, S.M., and F.Ghaderi-Far. 2014. Hydrotime model: Introduction and application of this model in seed researches. Environ. Stresses in Crop Sci. 7: 41-52. (In Persian, with English Abstract) Azimi, R., M. Khajeh-Hosseinim., and F. Falahpor. 2014. Evaluation of seed germination features of Bromus kopetdaghensis Drobov under different temperature. J. Range Watershed Manage. 67(2): 253-261. (In Persian, with English Abstract) Balbaki, R.Z., R.A. Zurayk., M.M. Blelk., and S.N. Tahouk. 1999. Germination and seedling development of drought tolerant and susceptible wheat under moisture stress. Seed Sci. Technol. 27: 291-302. Bewley, J.D., K.J. Bradford, H.W.M Hilhorst, and H. Monogaki. 2013. Seeds: Physiology of Development, Germination and Dormancy. Third Edition, Springer, NY, 392. Bradford, K.J. 2002. Application of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci. 50: 248-260. Bradford, K.J. 1990. A water relation analysis of seed germination rates. Plant Physiol. 94: 840-849. Cardoso, V.J.M., and A. Bianconi. 2013. Hydrotime model can describe the response of common bean (Phaseolus vulgaris L.) seeds to temperature and reduced water potential. Acta Scientiarum. 35: 255-261. Chachalis D., and K.N. Reddy. 2000. Factors affecting Campsis radicans Seed germination and seedling emergence. Weed Sci. 48: 212–216. Chauhan B., S.G. Gill., and C. Preston. 2006. Factors affecting seed germination of annual sowthistle (Sonchus oleraceus) in southern Australia. Weed Sci. 54: 854-860. Daws M.I., L.M. Crabtree., J.W. Dalling., C.E. Mullins., and D.R.P. Burslem. 2008. Germination responses to water potential in neotropical pioneers suggest large-seeded species take more risks. Ann. Bot. 102 (6): 945–951. Derakhshan, A., Moradi Talavat., M.R. and A.Siadat. 2016. Hydrotime Analysis of Yellow Sweetclover (Melilotus officinalis (L.) Lam.), Wild Mustard (Sinapis arvensis L.) and Barley (Hordeum vulgare L.) Seed Germination. Journal of Plant Protection. 30: 518-523. (In Persian, with English Abstract) Dorri, M.A., B. Kamkar., M. Aghdasi., and E. Komshi-Kamar. 2014. Determine the best model to evaluate the germination characteristics and cardinal temperatures of milk thistle. Iranian Journal of Seed Science and Technology. 3: 189-200. (In Persian, with English Abstract) Forcella, F., Beneeh-Arnold, R.A. Sanchez., and C.M. Ghersa. 2000. Modelling seeding emergence. Field Crops Res. 67:123-139. Ghersa, C., R. Benech-Arnold., E. Satorre., M. Martinez-Ghersa. 2000. Advances in weed management strategies. Field Crops Res. 67: 95-104. Grundy, A.C. 2003. Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43: 1–11. Hardegree, S., 2006. Predicting germination response to temperature. I. Cardinal temperature models and subpopulationspecific regression. Ann. Bot. 97: 1115- 1125. Hoseini, M., M. Mojab., and Gh. Zamani. 2012. Evaluation wild barley (Hordeum spontaneum Koch.) barley grass (H.murinum L.) and hoary cress (Cardaria draba L.) germination in different temperatures. p. 108. In proceeding 4th Iranian Weed Sci. Congr., 6-7 February, 2004. Ahvaz, Iran. Huarte, R. 2006. Hydrotime analysis of the effect of fluctuating temperatures on seed germination in several non-cultivated species. Seed Sci.Technol. 34: 533-547. Jame, Y.W., and H.W. Cutforth. 2004. Simulating the effects of temperature and seeding depth on germination and emergence of spring wheat. Agric. Forest Meteorol. 124: 207-218. Jeffrey, D.W., C.M. Timothym., and T.R. John. 1987. Solution volume and seed number: Often overlooked factors in allelopathic bioassays. J. Chem. Ecol. 13: 1424–1426. Kamkar, B., M. Jami Al-Ahmadi., and A. Mahdavi-Damghani. 2011. Quantification of the cardinal temperatures and thermal time requirement of opium poppy (Papaver somniferum L.) seeds germinate using non-linear regression models. Indian Crop Prod. 35: 192-198. Kaya M.D., G. Okcu., M. Atak., Y. Cikili., and O. Kolsarici. 2006. Seed treatment to overcome salt and drought stress during germination in sunflower (Helianthus annus L.). Eur. J. Agro. 24: 291-295. Mennan, H., and M. 2006. Ngouajio Seasonal cycles in germination and seedling emergence of summer and winter populations of catchweed bedstraw (Galium aparine) and wild mustard (Brassica kaber). Weed Sci. 54: 114-120. Nezamabadi, N., H. Rahimian Mashhadi., E. Zand., and H.M. Alizadeh. 2005. Effect of desiccation, NaCl and polyethylen glycol induced water potentials on sprouting of Glycyrrhiza glabra rhizome buds. Iranian J. Weed Sci. 1: 41-50. Nozari-nejad, M., E. Zeinali., A. Soltani., E. Soltani., and B. Kamkar. 2013. Quantify wheat germination rate response to temperature and water potential. Electronic J. Crop Prod. 6:117-135. (In Persian, with English Abstract) Phartyal, S.S., R.C. Thapial., J.S. Nayal., M.M.S. Rawat., and G. Joshi. 2003. The influence of temperatures on seed germination rate in Himalaya elm (Ulmus wallichiana). Seed Sci. Technol. 25: 419-426. Savarinejad, A.R. 2009. Evaluation of biology and chemical control of Euphorbia maculate in soybean of Golestan province. M.Ss thesis, Islamic Azad University, Science and Research Branch, Tehra. Schellenberg, M.P., B. Biligetu, and Y. Wei. 2013. Predicting seed germination of slender wheatgrass [Elymus trachycaulus (Link) Gould subsp.trachycaulus] using thermal and hydro time models. Can. J. Plant Sci. 93: 793-798. Shafii, B., and W.J. Price. 2001. Estimation of cardinal temperatures in germination data analysis. J. Agric. Biol. Environ. Stat. 6: 356-366. Soltani, E., M. Oveisi., A. Soltani., S. Galeshi., F. Ghaderi-Far., and E. Zeinali. 2014. Seed germination modeling of volunteer canola as affected by temperature and water potential: hydrothermal time model. Weed Res. J. 6: 23-38. (In Persian, with English Abstract) Soltani, A., M.J. Robertson., B. Torabi., M. Yousefi-Daz., and R. Sarparast. 2006. Modeling seedling emergence in chickpea as influenced by temperature and sowing depth. Agric. Forest Meteorol. 138: 156-167. Tolyat, M.A., R. Tavakkol Afshari., M. R. Jahansoz., F. Nadjafi., and H.A. Naghdibadi. 2014. Determination of cardinal germination temperatures of two ecotypes of Thymus daenensis subsp. Daenensis. Seed Sci. Technol. 42: 28-35. Thygerson, T., J.M. Harris., B.N. Smith., L.D. Hansen., R.L. Pendleton, and D.T. Booth. 2002. Metabolic response to temperature for six populations of winter fat (Eurotia lanata). Thermochimica Acta. 394: 211-217. Younesabadi, M., and A.R. Savarinegad. 2009. Flora of weed in soybean of Golestan province. Golestan Agricultural and Natural Resources Research and Education Center. | ||
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