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واکنش جوانه زنی و صفات مرتبط با گیاهچه ژنوتیپ های کلزا به شرایط مختلف رطوبتی با استفاده از روش GGE biplot | ||
| علوم و فناوری بذر ایران | ||
| مقاله 1، دوره 9، شماره 3 - شماره پیاپی 19، آذر 1399، صفحه 1-25 اصل مقاله (1.13 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/ijsst.2019.124388.1245 | ||
| نویسندگان | ||
| حمید جبّاری* 1؛ حسین زینل زاده تبریزی2؛ مهران عنایتی شریعت پناهی3 | ||
| 1موسسه تحقیقات اصلاح و تهیه نهال و بذر، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران | ||
| 2استادیار مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان اردبیل، سازمان تحقیقات، آموزش و ترویج کشاورزی، اردبیل (مغان)، ایران | ||
| 3دانشیار پژوهشگاه بیوتکنولوژی کشاورزی ایران، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران | ||
| چکیده | ||
| این آزمایش به صورت فاکتوریل در قالب طرح کاملاً تصادفی در سه تکرار با 24 ژنوتیپ کلزا (13 رقم و 11 لاین دابل هاپلوئید) در چهار شیب رطوبت وزنی خاک شامل 80، 50، 30 و 20 درصد ظرفیت زراعی به صورت گلدانی در گلخانه موسسه تحقیقات اصلاح و تهیه نهال و بذر کرج در سال 1396 انجام شد. رشد طولی ساقه‌چه در مقایسه با رشد طولی ریشه‌چه بیشتر تحت تأثیر سطوح مختلف تنش کم‌آبی قرار گرفت که نشان‌دهنده حساسیت بیشتر طول ساقه‌چه در مقایسه با طول ریشه‌چه در واکنش به تنش کم‌آبی بوده است و از این‌رو نسبت ریشه‌چه به ساقه‌چه می‌تواند شاخص مناسبی برای ارزیابی تحمل به تنش کم‌آبی باشد. تنتایج نشان داد که ارقامی مانند Oase و Triangle و حتی Tassilo و Savanah از پایداری بسیار بالایی در شرایط تنش برخوردار بودند اما به دلیل داشتن مقادیر اندکی از مؤلفه اول و دوم جزء ارقام حساس به تنش کم‌آبی طبقه‌بندی شدند. همچنین ارقام SLM046 و Billy کمترین پایداری صفات را در شرایط تنش کم‌آبی در مرحله جوانه‌زنی داشتند. به دلیل تفکیک نشدن و عدم تمایز سه سطح رطوبتی 80، 50 و 30 درصد ظرفیت زراعی، برای گزینش مناسب نبودند و تنها سطح 20 درصد ظرفیت زراعی به عنوان بخش مناسب برای گزینش ژنوتیپ ایده آل شناخته شد. از این رو، در بین ژنوتیپ‌هایی که در بخش 20 درصد ظرفیت زراعی واقع شدند، بر اساس الگوی کدام-برتر-کجا ژنوتیپ GKH 2005 به عنوان ژنوتیپ برتر شناخته شد. | ||
| کلیدواژه‌ها | ||
| درصد جوانه زنی؛ طول ساقه چه؛ ظرفیت زراعی؛ نسبت ریشه چه به ساقه چه | ||
| عنوان مقاله [English] | ||
| Response of germination and seedling traits in different canola genotypes to soil moisture conditions using GGE biplot method | ||
| نویسندگان [English] | ||
| Hamid Jabbari1؛ Hossein Zeinalzadeh Tabrizi2؛ Mehran Enayati shariatpanahi3 | ||
| 1Seed and Plant Improvement Institute, AREEO, Karaj, Iran | ||
| 2Assistant Professor of Ardabil Agricultural and Natural Resources Research and Education Center, AREEO, Ardabil (Moghan), Iran | ||
| 3Associated Professor of Agricultural Biotechnology Research Institute, AREEO, Karaj, Iran | ||
| چکیده [English] | ||
| This experiment was conducted in a factorial arrangement in a completely randomized design with three replications. 24 canola genotypes (13 varieties and 11 double haploid lines) at four levels of soil moisture including 80, 50, 30 and 20% field capacity (FC) were evaluated in pots in the greenhouse of seed and plant improvement Institute in Karaj during 2017. The growth of the shoot was more affected by different levels of soil moisture in comparison to the root growth that indicating a greater sensitivity of the stem length compared to the root length in response to the low water stress. Therefore, the root-shoot ratio can be an appropriate index for assessing the water stress tolerance. The results showed that cultivars such as Oase, Triangle, Tassilo and Savanah, had very high stability under stress conditions, but due to small amounts of the first and second components, they were classified as susceptible to water deficit stress. Also, SLM046 and Billy had the least stability in traits under water deficit stress at germination stage. Due to the non-separation of the three levels of soil moisture (80%, 50% and 30% FC), were not suitable for selection and only 20% FC was identified as the appropriate condition for selecting the ideal genotype. Therefore, between genotypes that were located in a 20% FC, based on the 'which-won-where' pattern, GKH 2005 was identified as the superior genotype. | ||
| کلیدواژه‌ها [English] | ||
| Field Capacity, Germination percentage, Root to shoot ratio, Stem length | ||
| مراجع | ||
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Afzal, I., A. Nazir, M. Ferhat, H. Amjad, I. Saadia, and A. Gulzar. 2004. Enhancement of germination and emergence of canola seeds by different priming techniques. Santa Cruz Do Sul. 16 (1): 19-34. Andalibi, B., A. Zangani, and A. Hagh Nazari. 2005. Effects of water stress on germination indices in six rapeseed cultivars (Brassica napus L.). Iranian J. Agric. Sci. 36 (2): 457-463. Abdul-Baki, A.A, and J.D. Anderson. 1973. Relationship between decarboxylation of glutamic acid and vigor in soybean seed. Crop Sci. 13: 227–232. Basra, S.M.A., M.N. Zia, T. Mahmood, L. Afzal, and A. Khaliq. 2002. Comparison of different invigoration techniques in wheat (Triticum aestivum L.). Pak. J. Agric. Sci. 5: 325-329. Chaghakaboodi, Z., and A.R. Zebarjadi. 2012. Evaluation of drought tolerance of rapeseed (Brassica napus L.) genotypes in laboratory and field conditions. Seed. Plant. Improve. J. 28 (1): 17-38. (In Persian, with English Abstract) Dehghani, H., A. Ebadi, and A. Yousefi. 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron. J. 98 (2): 388-393. Donatelli, M., G.L. Hammer, and R.L. Vanderlip. 1992. Genotype and water limitation effects on phenology, growth and transpiration efficiency in grain sorghum. Crop Sci. 32: 781-786. Elias, S.G., and L.O. Copleland. 1994. The effect of storage condition on canola (Brassica napus L.) seed quality. Seed Sci. Technol. 18 (1): 21-29. Ellis, R.H., and E.H. Roberts. 1980. Towards a rational basis for testing seed quality. Pp. 605–635.In: P.D. Hebblethwaite (ed.) Seed Production. Butterworths, London. El-Sharkawi, H.M., and I. Springuel. 1977. Germination of some crop plant seed under reduced water potential. Seed Sci. Technol. 5: 677-688. Escobar, M., M. Berti, I. Matus, M. Tapia, and B. Johnson. 2011. Genotype × environment interaction in canola (Brassica napus L.) Seed yield in chile. Chil. J. Agric. Res. 71 (2): 175-186. Farshadfar, E., R. Mohammadi, M. Aghaee, and Z. Vaisi. 2012. GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. Aust. J. Crop Sci. 6(6): 1074-1079. Gazanchian, A., N.A. Khosh Kholgh Sima, M.A. Malboobi, and E. Majidi Heravan. 2006. Relationships between emergence and soil water content for perennial cool-season grasses native to Iran. Crop Sci. 46: 544–553. Gul, A., and F.L. Allen. 1979. Stand and establishment of wheat lines under different levels of water potential. Crop Sci. 16: 611–615. Hasani, M., B. Heidari, A. Dadkhodaie, and P. Stevanato. 2018. Genotype by environment interaction components underlying variations in root, sugar and white sugar yield in sugar beet (Beta vulgaris L.). Euphytica. 214 (4): 79. Hoogenboom, G., M.G. Huck, and C.M. Peterson. 1987. Root growth rate of soybean as affected bydrought stress. Agron. J. 79: 607-614. Hsiao, T.C., and L.K. Xu. 2000. Sensitivity of growth of roots versus leaves to water stress: biophysical analysis and relation to water transport. J. Exp. Bot. 51: 1595–1616. Jabbari, H., G.A. Akbari, N.A. Khosh Kholgh Sima, A.H. Shirani Rad, I. Allahdadi, A. Hamed, and M. Enayati Shariatpanahi. 2013. Relationships between seedling establishment and soil moisture content for winter and spring rapeseed genotypes. Ind. Crop. Prod. 49: 177-187. Jajarmi, V. 2008. Effect of water stress on germination indices in seven safflower cultivars (Carthamus tinctorius L.). p. 1–3. In Proc. Conf. Safflower. Section of general, 7th, WAGGA, New South Wales, Australia. 3-6 Nov. 2008. Australian oilseeds federation, Australia. Jamaati-e-Somarin, S., R. Zabihi-e-Mahmoodabad, and A. Yari. 2010. Reaction of canola cultivars (Brassica napus L.) to water deficit on seed germination and seedling growth stage. Word Appl. Sci. J. 10: 699-702. Karimizadeh, R., M. Mohammadi, N. Sabaghni, A.A. Mahmoodi, B. Roustami, F. Seyyedi, and F. Akbari. 2013. GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Not. Sci. Biol. 5 (2): 256. Kaya, Y., M. Akçura, and S. Taner. 2006. GGE-Biplot analysis of multi-environment yield trials in bread wheat. Turk. J. Agric. For. 30: 325-337. Maguire, J.D. 1962. Speed of germination aid in selection and evaluation for seedling emergence and vigor. Crop Sci. 2: 176–177. Majidi, M.M. 2012. Identification of canola cultivars for drought tolerance in germination and seedling growth stages using principal component analysis. J. Crop Prod. Process. 2 (4): 41-52.(In Persian, with English Abstract) Mayers, J.D., R.J. Lowh, and D.E. Byth. 1991. Adaptation of soybean to dry season of tropics. I. Genotype and environmental effects on phenology. Aust. J.Agric. Res. 42: 479-515. Mazaheri Tirani, M., and Monochehri Kalantari, K. 2006. Effects of the role of salicylic acid, drought stress, ethylene and interaction of three factors on seed germination of Brassica napus. Iranian J. Biol. 4: 408-418. Mohammadi, R., R. Haghparast, A. Amri, and S. Ceccarelli. 2010. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop Pasture Sci. 61 (1):92-101. Moradshahi, A., B. Salehi Eskandari, and B. Kholdebarin. 2004. Some physiological responses of canola (Brassica napus L.). Iranian J. Sci. Technol. 28: 43-50. Mostafavi, Kh., A. Mohammadi, M. Khodarahmi, M. Zabet, and M. Zare. 2013. Yield response of commercial canola cultivars to different locations using graphical GGE biplot method. Iranian J. Agron. Plant Breed. 8 (4): 133-143. Mwale, S.S., C. Hamusimbi, and K. Mwansa. 2003. Germination, emergence and growth of canola (Helianthus annuus L.) in response to osmotic seed priming. Seed Sci. Technol. 31: 199-206. Niazian, M., R. Amiri, S.M. Mahdi Mortazavian, A. Rajabi, and Orazizadeh, M.R. 2009. Genetical analysis for yield traits in tropical beet using of GGE-biplot analysis of diallel cross data. J. Crop Breed. 1 (4): 77-94. (In Persian, with English Abstract) Omidi, H., F. Khazaei, S. Hamzi Alvanagh, and H. Heidari-Sharifabad. 2009. Improvement of seed germination traits in canola (Brassica napus L.) as affected by saline and drought stresses. Plant Ecophysiol. 3: 151-158. Pessarakli, M. 1994. Plant and Crop Stress Handbook. Marcel Deckker, New York, USA. Pourdad, S.S., and M. Jamshid Moghaddam. 2013. Study on genotype×environment interaction through GGE biplot for seed yield in spring rapeseed (Brassica Napus L.) in rain-fed condition. Iranian J. Crop Breed. 5 (12):1-14. Roostabaghi, B., H. Dehghani, B. Alizadeh, and N. Sabaghnia. 2013. Analysis of general and specific combining ability in canola using biplot method. Iranian J. Field Crops Res. 11 (2): 251-258. Sabaghnia, N., H. Dehghani, B. Alizadeh, and M. Moghaddam. 2011. Yield analysis of rapeseed (Brassica napus L.) under water-stress conditions using GGE biplot methodology. J. Crop Improve. 25 (1): 26-45. Scott, S.J., R.A. Jones, and W.A. Willams. 1984. Review of data analysis methods for seed germination. Crop Sci. 24: 1192–1199. Sangtarash, M.H., M.M. Qaderi, C.C. Chinnappa, and D.M. Reid. 2009. Differential sensitivity of canola (Brassica napus L.) seedlings to ultraviolet-B radiation, water stress and abscisic acid. Environ. Exp. Bot. 66: 212-219. Seefeldet, S.S., K.K. Kidwell, and J.E. Waller. 2002. Base growth temperature, germination rates and growth response of contemporary spring wheat (Triticum aestivum L.) cultivars from the USA Pacific North West. Field Crops Res. 75: 45-52. Shahverdikandi, M., A. Tobeh, S. Jahanbakhsh Godehkahriz, and Z. Rastegar. 2011. The study of germination index of canola cultivars for drought resistance. Int. J. Agron. Plant Prod. 2 (3): 89-95. Shekari, F., R. Khoie, A. Javanshir, H. Alyari, and M.R. Shkiba. 2000. Effect of sodium chloride salinity on germination of rapeseed cultivars. Turk. J. Field Crops. 5(1): 21-28. Shiri, M.R. 2013. Grain yield stability analysis of maize (Zea mays L.) hybrids under different drought stress conditions using GGE biplot analysis. Crop Breed. J. 3 (2): 107-112. Tommasini, L., J.T. Svensson, E.M. Rodriguez, A. Wahid, M. Malatrasi, K. Kato, S. Wanamaker, J. Resnik, and T.J. Close. 2008. Dehydrin gene expression provides an indicator of low temperature and drought stress: Transcriptome-based analysis of barley (Hordeum vulgare L.). Funct. Integr. Genomics. 8: 387-405. Xia, Z., and X. Xiaoyu. 2012. Studies on identification indexes of drought resistance by PEG during seed germination of rapeseed (Brassica napus L.). Acta Agric Bor. Sin. 2: 1-17. Yan, W., L.A. Hunt, Q. Sheng, and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40: 597-605. Yan, W., and L.A. Hunt. 2001. Genetic and environmental causes of genotype by environment interaction for winter wheat yield in Ontario. Crop Sci. 41:19-25. Yan, W., and M.S. Kang. 2002. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC press, Boca Raton. Yan, W., and M.S. Kang. 2003. GGE biplot analysis: a graphical tool for breeders, In: M.S. Kang (ed.). Geneticists, and agronomist. CRC Press, Boca Raton, FL. Yan, W., and B.L. Ma. 2006. Model diagnosis and GGE biplot analysis, p. 39. Eastern cereal and oilseed research centre, Agriculture and agri-food Canada. Zali, H., O. Sofalian, T. Hasanloo, and A. Asghari. 2016. AMMI and GGE biplot analysis of yield stability and drought tolerance in Brassica napus L. Agric. Commun. 4 (1): 1-8. Zheng, G.H., Y.P. Gao, R.W. Wilenand, and L.V. Gusta. 1998. Canola seed germination and seedling emergence from pre-hydrated and redried seed subjected to salt and water stresses at low temperatures. Ann. Appl. Biol. 132: 339-348. | ||
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