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برآورد دماهای کاردینال ارشته خطایی(Lepyrodiclis holosteoides) با استفاده از مدل‌های رگرسیونی | ||
| علوم و فناوری بذر ایران | ||
| مقاله 9، دوره 6، شماره 2 - شماره پیاپی 12، آبان 1396، صفحه 107-117 اصل مقاله (692.15 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/ijsst.2018.116531 | ||
| نویسندگان | ||
| رضا دیهیم فرد1؛ شهرام نظری* 2؛ یاسین قرآنی3 | ||
| 1استادیار/ گروه کشاورزی اکولوژیک، پژوهشکده علوم محیطی، دانشگاه شهید بهشتی، تهران، ایران. | ||
| 2دانشجوی دکتری/گروه اکواوژی گیاهان زراعی، دانشگاه بوعلی سینا، همدان، ایران | ||
| 3دانشجو/گروه کشاورزی اکولوژیک، پژوهشکده علوم محیطی، دانشگاه شهید بهشتی، تهران | ||
| چکیده | ||
| به منظور ارزیابی برخی مدل‌های رگرسیونی غیرخطی برای تخمین دماهای کاردینال جوانه‌زنی بذر علف هرز مهاجم ارشته خطایی(Lepyrodiclis holosteoides)، پژوهشی در آزمایشگاه تنوع زیستی پژوهشکده علوم محیطی دانشگاه شهید بهشتی اجرا شد. در این آزمایش بذور تحت تأثیر هشت تیمار دمایی (صفر، 5، 10، 15، 20، 25، 30 و 35 درجه سانتی‌گراد) و پتانسیل رطوبت ( 0، 0.2-، 0.4-، 0.6- و 0.8- بار) در چهار تکرار قرار گرفتند و درصد و سرعت جوانه‌زنی بذور محاسبه شدند. برای بررسی و پیش‌بینی سرعت جوانه‌زنی نسبت به دما از مدل‌های دندان مانند، دو تکه‌ای و بتا 4 و 5 پارامتری استفاده گردید. به منظور ارزیابی و تعیین نکویی برازش مدل‌های مختلف جوانه‌زنی از برآوردگرهای آماری شامل ریشه دوم میانگین مربعات خطا (RMSE)، شاخص آکائیک (AIC) و ضریب تبیین (R2) استفاده شد. بالاترین درصد جوانه‌زنی در دمای 20 درجه سانتی‌گراد با 72 درصد بدست آمد. نتایج نشان داد که مدل‌های 4 و 5 پارامتره بتا در مقایسه با دیگر مدل‌ها، توانست توصیف بهتری را از واکنش سرعت جوانه‌زنی ارشته خطایی نسبت به دما ارائه کنند که دلیل آن R2 بالاتر (برای هر دو مدل 0.99) و AIC (73.16- و 73.27-) و RMSE (0.0092 و 0.0091) پایین‌تر در این مدل‌ها بود. بطور کلی دماهای پایه، بهینه و حداکثر ارشته خطایی به ترتیب 4.29، 19.76 و 37.55 درجه سانتی‌گراد با مدل 4 پارامتره بتا و 4.22، 19.72 و 37.83 درجه سانتی‌گراد با مدل 5 پارامتره بتا تخمین زده شد. یافته های به دست آمده این تحقیق می‌تواند در پیش‌بینی جوانه‌زنی ارشته خطایی در شرایط دمایی مختلف استفاده شود. | ||
| کلیدواژه‌ها | ||
| سرعت جوانه‌زنی؛ علف هرز؛ مدل بتا؛ مدل دوتکه‌ای | ||
| عنوان مقاله [English] | ||
| Estimation of cardinal temperatures of Lepyrodiclis holosteoides using regression models | ||
| نویسندگان [English] | ||
| R. Deihimfard1؛ Sh. Nazari2؛ Y. Qorani3 | ||
| 1Assistant Prof./Dept. of Agroecoloy, Institute of Environmental Sciences Research , Shahid Beheshti University, G.C., Tehran, Iran. | ||
| 2PhD Student in agronomy/ Buali Sina University, Hamdan. Iran, | ||
| 3Student/Department of Agroecoloy, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Tehran, Iran. | ||
| چکیده [English] | ||
| In order to evaluate different nonlinear regression models for estimating cardinal temperatures of Lepyrodiclis holosteoides as an invasive weed, an experiment was carried out at Biodiversity Laboratory of Environmental Sciences Research Institute at Shahid Beheshti University. 8 germination temperatures (0, 5, 10, 15, 20, 25, 30 and 35 °C) and humidity potential (0, -0.2, -0.4, -0.6 and -0.8 MPa) with four replications. Were arranged in a completely randomized design with for replications. Then, germination rate and percentage of seeds were measured. To predict the response of germination rate to temperature in Lepyrodiclis holosteoides, some regression models including dent-like, segmented, beta (four and five parameters) were applied. Some statistical estimators like Root Mean Squared of Error (RMSE), Akaike Information Criterion (AIC) and coefficient of determination (R2) were used to evaluate goodness of fit for different regression models. Results showed that the highest germination percentage (72%) was obtained at 20 °C. Results also indicated that beta four and five-parameter models were amongst the superior functions in describing the response of germination rate to temperature in Lepyrodiclis holosteoides largely due to their higher R2 (0.99 for both beta models), lower AIC (-73.16 and -73.27) and RMSE (0.0092 and 0.0091). Generally, base, optimum and ceiling cardinal temperatures for Lepyrodiclis holosteoides were estimated 4.29, 19.76 and 37.55 °C for beta four-parameter models and 4.22, 19.72 and 37.83 °C for beta five-parameter model. The findings of the current study (i.e. cardinal temperatures) could be used in prediction of Lepyrodiclis holosteoides germination and emergenceunder various temperatures. | ||
| کلیدواژه‌ها [English] | ||
| germination rate, weed, Beta model, Segmented function | ||
| مراجع | ||
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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.) andborago (Borago officinalis L.). Ph.D. Thesis, Gorgon. Univ. Agric. Sci. Nat. Res., 180p. (In Persian.). Alvarado, V., and K.J. Bradford, 2002. A hydrothermal time model explains the cardinal temperature for seed germination. Plant Cell Environ. 25:1061-1069. Asgarpour, R., S. Mijani, and R. Ghorbabi, 2014. Effect of temperature on germination rate of Russian thistle (Salsola kali L.) based on regression models. Journal of Plant Protection. 27: 476-483. (In Persian, with English Abstract.). Bakhshandeh, E., R. Ghadiryan, S. Galeshi and E. Soltani, 2011. Modelling the effects water stress and temperature on seed germination of Soybean (Glycine max L.) and Velvetleaf (Abutilion thephrasti med.).J. Plant Prod. 18: 29-48 (In Persian, with English Abstract.). Behshtian Mesgran, M., Rahimian Mashhadi, H. Alizadeh, H. Ohadi, S. and Zare, A. 2013. Modeling the germination responses of wild barley (Hordeum spontaneum) and littleseed cannary Grass (Phalaris minor) to temperature. Iran. Weed Sci. 9: 105-118. (In Persian, with English Abstract.). Bradford, K.J. 2002. Application of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci. 50: 248-260. Dashti, M., M. Kafi, Tavakkoli, and M. Mirza, 2015. Cardinal temperatures for germination of Salvia leriifolia Benth. Herba Polonica. 61: 5-18. Derakhshan, A., J. Gherekhloo, and E. Paravar, 2013. Estimation of cardinal temperatures and thermal time requirement for Cyperus difformis seed germination. Iran. J. Weed Sci. 9: 27-38. (In Persian, with English Abstract.). Forcella, F., R.L. Benech-Arnold, R. Sanchez, and C.M. Ghersa, 2000. Modeling seedling emergence. Field Crops Res. 67: 123-139. Ghaffari, R., F. Mighani, and H. Salimi, 2015. Germination ecophysiolology of mesquite weed (Prosopis farcta L.). Nova Biologica Reperta. 1: 23-33. Ghanbari, A., S. Mijani, and R. Hosainabadi, 2012. Investigation of salinity and osmotic stress on seed germination of Lepyrodiclis and germination recovery after salinity stress. 4th Iranian Weed Science Congress, Ahvaz, Iran.408-411. (In Persian, with English Abstract.). Grzesik, M. and Z. Romanowska-Duda, 2014. Improvements in germination, growth, and metabolic activity of corn seedlings by grain conditioning and root application with Cyanobacteria and Microalgae. Pol. J. Environ. Stud. 23(4): 1147-1153. Hardegree, S.P. 2006. Predicting germination response to temperature. I. Cardinal temperature models and subpopulation-specific regression. Ann. Bot. 97, 1115–1125. Hazar, D. and I. Baktir, 2012. Effect of temperatures, growing media and seed age on germination of Dianthus calocephalus boiss seeds. Acta Hortic. 937: 421-425. ISTA (International Seed Testing Association), 2008. International rules for seed testing. Seed Sci. Technol. 24:155- 202. Jafari, N., M. Esfahani, and A. Sabouri, 2012. Assessment of non-linear regression models to evaluate response of seedling emergence rate to temperature in three oil Seed rape seed cultivars. Iranian J. Field Crop Sci. 42: 857-868. (In Persian, with English Abstract.).Karavani, B., R. Tavakol Afshar, N. Majnoon Hosseini, and A. Mousavi, 2014. Evaluation of germination parameters of Scrophularia striata under water and salinity stresses at different temperatures. Iranian J. Field Crop Sci. 45: 265-275. (In Persian, with English Abstract.).Khalaj, H., I. Allahdadi, H. Iran Nejad, GH.A. Akbari, M. Min Bashi, and M.A. Baghsetani, 2012. Using nonlinear regression approach for prediction of cardinal temperature of canola and four common weeds. J. Agroecol. 1: 21-33. (In Persian, with English Abstract.). Lashkari, A., P. Rezvani Moghdadm, and A. Amin Ghafori, 2014. Estimation of cardinal temperatures of (Echium amoenum) with application of regression mode. Iran. J. Field Crops Res. 12: 164-169. (In Persian, with English Abstract.). Mijani, S., A. Ghanbari, M. Serajchi, and A.R. Dehgahn, 2012. Cardinal temperatures for germination of Lepyrodiclisholosteoides. 12th Iranian Crop Science congress. 4-6 September, Islamic Azad University, Karaj Branch, Karaj, Iran. (In Persian, with English Abstract.). Minbashi Moeeni, M. 2011. Preparation of weed species distribution of Iran wheat fields with GIS. Research Report, Iranian Research Institute Plant Protection (IRIPP). 300 Pp. (In Persian.). Mwale, S.S., S.N. Azam-Ali, J.A. Clark, R.G. Bradley, and M.R. Chatha, 1994. Effect of temperature on the germination of sunflower (Helianthus annuus L.). Seed Sci. Technol. 22: 565-576. Ozdener, Y., and H.G. Kutbay, 2008. Effect of salinity and temperature on the germination of Spergularia marina seeds and ameliorating effect of ascorbic and salicylic acids. J. Environ Biol. 29: 959-964. Parmoon, G.H., S.A. Mousavi, H. Akbari, and A. Ebadi, 2015. Quantifying cardinal temperatures and thermal time required for germination of Silybum marianum seed. The Crop J. 3: 145-151. Piper, E.L., K.J. Boote, J.W. Jones, and S.S. Grimm, 1996. Comparison of two phenology models for predicting flowering and maturity date of soybean. Crop Sci. 36: 1606–1614. Probert, R.J. 2000. The role of temperature in the regulation of seed dormancy and germination. In Seeds: The Ecology of Renege ration in Plant Communities (ed. M. Fenner), Pp. 261–292. CAB International, Wallingford. SigmaPlot 12.5. software, Sigma Plot 2015 for Windows Version 12.5, SPSS Inc., 233 South Wacker Drive, 11thFloor, Chicago, IL 60606-6307. Sohrabi, S., M.H. Rashed Mohassel, M. Nassiri Mahalati, and S.K. Mousavi, 2013. Determination of cardinal temperatures and effect of fluctuation temperature on tuberous root germination of invasive weed lesser celandine (Ranuculus ficaria).Iran. J. Field Crops Res. 10: 643-648. (In Persian, with English Abstract.). Soltani, A., E. Zeinali. S. Galeshi, and N. Latifi, 2001. Genetic variation for and interrelationships among seed vigor traits in wheat from the Caspian Sea coast of Iran. Seed Sci. Technol. 29: 653-662. (In Persian, with English Abstract.). Soltani, A., F. Ghaderi-Far, and E. Soltani, 2008. Application of germination in response to temperature and water potential in seed Science Research the first National Conference Sciences and Technology of seeds. Gorgon, Iran, 12-13 Nov. (In Persian, with English Abstract.). Trudgill, D.L., G.R. Squire, and K. Thompson, 2000. A thermal time basis for comparing the germination requirements of some British herbaceous plants. New Phytol. 145: 107-114. Wise, A.N. and L.K. Binning, 1987. Calculating the threshold temperature of development for weeds. Weed Sci. 35: 177-179. Yan, W., and L.A. Hunt, 1999. An equation for modelling the temperature response of plants using only the cardinal temperatures. Ann. Bot. 84: 607-614. Zhang, H., Y. Tian, and D. Zhou, 2015. A modified thermal time model quantifying germination response to temperature for C3 and C4 species in temperate grassland. Agric. 5: 412-426. | ||
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