شناسایی ژنوتیپ‌های متحمل به تنش خشکی در ژرم پلاسم برنج خارجی با استفاده از تکنیک گرافیکی GGE biplot در شرایط غرقاب و تنش خشکی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری‌ دانشکده علوم پایه، دانشگاه تبریز

2 دانشیار دانشکده علوم پایه، دانشگاه تبریز

3 دانشیار گروه تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس

4 استاد دانشکده علوم پایه، دانشگاه تبریز

5 استادیار دانشگاه گنبد‌کاووس

چکیده

خشکی یکی از تنش‌های محیطی است که رشد، نمو و عملکرد برنج را محدود می‌سازد. پیچیدگی روابط بین صفات از مسائلی است که فرآیند اصلاح واریته‌های متحمل به تنش خشکی را مشکل می‌نماید. امروزه از تکنیک‌های گرافیکی جدیدی برای بررسی اثر صفات با در نظر گرفتن اثرات متقابل آن‌ها استفاده می‌شود یکی از این روش‌ها GGE biplot است. این تحقیق برای بررسی تأثیر تنش خشکی بر صفات زراعی و مورفولوژیکی ۲۶۳ ژنوتیپ برنج بر اساس طرح لاتیس در دو شرایط بدون تنش و تنش آبی در طول فصل زراعی سال ۱۳۹۴ انجام شد. داده‌ها با روش آماری تجزیه واریانس و GGE biplot موردبررسی قرار گرفتند. نتایج تجزیه واریانس نشان داد که سه عامل محیط، ژنوتیپ و اثر متقابل محیط × ژنوتیپ در اکثر صفات موردبررسی بسیار معنی‌دار بود. تجزیه GGE biplot نیز نشان داد که در شرایط بدون تنش و تنش خشکی عملکرد دانه رابطه مثبتی با وزن دانه پر، تعداد دانه پر، وزن خوشه اصلی، وزن کل خوشه‌ها، قطر ساقه، تعداد خوشه­چه ثانویه، تعداد خوشه‌چه اولیه، بیوماس، شاخص برداشت و باروری داشت. همبستگی مثبت و معنی‌دار بین اکثر صفات نشان می‌دهد که یکی از این صفات می‌تواند به‌عنوان معیار انتخاب مورداستفاده قرار گیرد. ژنوتیپ‌ HHZ 10-DT5-LI1-LI1 در شرایط بدون تنش با دارا بودن بالاترین میزان عملکرد دانه (146.69 گرم)، دانه پر (224.83)، وزن دانه پر (4.66 گرم) و شاخص برداشت (1.25) برترین ژنوتیپ در این محیط بود و‌ ژنوتیپ HHZ 18-Y3-Y1-Y1 با بالاترین میزان وزن کل خوشه‌ها (46.5 گرم)، وزن خوشه اصلی (3.80 گرم)، تعداد دانه پر (207.5) و وزن دانه پر (3.42 گرم) و عملکرد (71.82 گرم) به‌عنوان ژنوتیپ‌ متحمل شناسایی شد. از این ژنوتیپ‌ها می‌توان در برنامه‌های اصلاحی برای بهبود تحمل به تنش خشکی به‌خصوص در مناطق خشک و نیمه‌خشک استفاده نمود.

کلیدواژه‌ها


 

Abd El-Maksoud, M.M., Draz, AE., El-Gamal, W.H., 2013. Genetic studies on some traits related to drought tolerance in rice. Egyptian Journal of Genetics and Cytology. 42, 53-71.

Aghaei, H., Babaeian, N., Bagheri, N., 2017. Correlation and path analysis of morphological and grain yield traits in Iranian rice genotypes under drought stress conditions. Biological Forum – An International Journal. 9, 23-27.

Ahmad Anjum, S.H., Xie, X.Y., Wang, L.C., Saleem, M.F., Man, C., Lei, W., 2011. Morphological, physiological and biochemical responses of plants to drought stress. African Journal of Agricultural Research. 6, 2026-2032.

Akcura, M., 2011. The relationships in Turkish winter bread wheat landraces. Turkish Journal of Agriculture and Forestry. 35, 115-125.

Allahgholipour, M., 2016. Genotype × environment interaction effect in rice genotypes using GG biplot. Cereal Research. 6, 1-14.‌

Atnaf, M., Tesfaye, K., Dagne, K., Wegary, D., 2017. Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces. Australian Journal of Crop Science. 11, 55-62.

Alvarez, J.M., Rocha, J.F., Machado, S.R. 2008. Bulliform cells in loudetiopsis chrysothrix (Ness) conert and Tristachya leiostachya Nees (Poaceae): structure in relation to function. Brazilian Archives of Biology and Technology. 51, 113-119.

 Ansari, M.R., Shaheen, T., Bukhar, S.H.A., Husnain, T., 2015. Genetic improvement of rice for biotic and abiotic stress tolerance. Turkish Journal of Botany. 39, 911-919.

Badu-apraku, B., Akinwale, RO., 2011. Cultivar evaluation and trait analysis of tropical early maturing maize under Strigainfested and Striga-free environments. Field Crops Research. 121, 186-194.

Dehghani, H., Ebadi, A., Yousefi, A., 2006. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agronomy Journal. 98, 388-393.

Dixit, S.H., Singh, A., Kumar, A., 2014. Rice breeding for high grain yield under Drought, a strategic solution to a complex problem. International Journal of Agronomy. 14, 1-15.

Farias, F.J.C., Carvalho, L.P., Silva Filho, J.L., Teodoro, P.E., 2016. Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. Genetics and Molecular Research. 15, 1-10.

Farshadfar, E., Kianifar, S., Chaghakabodi, R., 2015. GT biplot analysis of genetic diversity in bread wheat using in vitro indicators of drought tolerance. Biological Forum-An International Journal. 7, 1439-1447.

 Fischer, K.S., Fukai, S., Kumar, A., Leung, H., Jongdee, B., 2012. Field phenotyping strategies and breeding for adaptation of rice to drought. Frontiers in Physiology. 3, 1-21.

Gabriel, K.R., 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika. 58, 453-467.

Gauch, H.G., 1988. Model selection and validation for yield trials with interaction. BiometriCS. 44, 705-715.

Hall, A.J., Richards, R.A., 2013. Prognosis for genetic improvement of yield potential and water-limited yield of major grain crops. Field Crops Research. 43, 18–33.

Kadioglu, A., Terzi, R., 2007. A dehydration avoidance mechanism: leaf rolling, The Botanical Review. 73, 290–302.

Kamoshita, A., Babu, R.C., Boopathi, N.M., Fukai, S., 2009. Phenotypic and genotypic analysis of drought-resistance traits for development. Field Crops Research. 109, 1-23.

Kamrani, M., 2015. Relationship among agro-morphological traits in bread wheat (Triticum aestivum) genotypes under irrigated and rainfed conditions. Journal of Agronomy. 14, 254-263.

Kirigwi, F.M., Ginke, M.V., Trethowan, R., Sears, R.G., Rajaram, S., Paulsen, G.M., 2004. Evaluation of selection strategies for wheat adaptation across water regimes. Euphytica 135, 361–371.

Koutis, K., Mavromatis, A.G., Baxevanos, D., Koutsika-Sotiriou, M., 2012. Multienvironmental evaluation of wheat landraces by GGE biplot analysis for organic breeding. Agricultural Sciences. 3, 66-74.

Mohaddesi, A., Erfani, R., Sharifi, P., Aminpanah, H., Abbasian, A., 2017. Study of relationships between yield and yield components and stability of some of rice genotypes using biplot method. Cereal Research. 6, 411-421.

Mohanty, S., Wassmann, R., Nelson, A., Moya, P., Jagadish, S.V.K., 2013. Rice and climate change, significance for food security and vulnerability. IRRI Discussion Paper. Los Baños., Philippines. International Rice Research Institute. 49, 1-14.

Moreno-Gonzalez, J., Crossa, J., Cornelius, P.L., 2004. Genotype × environment interaction in multi-environment trials using shrinkage factors for AMMI models. Euphytica. 137, 119-127.

Morris, C.F., Campbell, K.G., King, G.E., 2004. Characterization of the end-use quality of soft wheat cultivars from the eastern and western US germplasm “pools”. Plant Genetic Resources. 2, 59-69.

Mostafavi, K., Hosseini Imeni, S.S., Zare, M., 2014. Stability analysis of rice genotypes based GGE biplot method in North of Iran. Journal of Applied Sciences Research. 7, 1690-1694.

 Nielsen V.O. 1996. Potential of canola as a dry land crop in north eastern Colorado. In: Janic, J. (ed.), Progress in New Crops. ASHS press, Alexandria, VA, USA, pp. 1-660.

Obisesan, I.O., 2004. Yield: the ultimate in crop improvement. An inaugural lecture series 168. Obafemi Awolowo University, press Limited, Ile-Ife, Nigeria.

Oladejo, A.S., Akinwale, R.O., Obisesan, I.O., 2011. Interrelationship between grain yield and other physiological traits of cowpea cultivars. African Crop Science Journal. 19, 189-200.

Odewale, J.O., Agho, C., Ataga, C.D., Okolo, E.C., Ikuenobe, C.E., Odiowaya, G., Ahanon, M.J., 2014. Genotype by trait relations between yield and some morphological traits of Coconut (Cocos nucifera L.) hybrid varieties based on GT biplot. International Journal of Plant & Soil Science 3, 270-280.

Paramesh, M., Reddy, D.M., Shanthi Priya, M., Sumathi, P., Sudhakar, P., Reddy, K.H.P., 2016. GT biplot analysis for yield and drought related traits in mung bean (Vigna radiata L. Wilczek.) Electronic Journal of Plant Breeding. 7, 538-543.

Rahimi, M., Dehghani, H., Rabiei, B., Tarang, A.R., 2013. Evaluation of rice segregating population based on drought tolerance criteria and biplot analysis. International Journal of Agriculture and Crop Sciences. 5, 194-199.

Rao M.S.S., Mendham N.J. 1991. Soil plant water relation of oil rape (Brassica napus). Journal of Agricultural Science. Camb, 117, 189-196.

Rohman, A., Siti, H., Mirza, H., Dwi, L.S., 2014.Rice in health and nutrition. International Food Research Journal 21, 13-24.

Rubio, J., Cubero, J.I., Martın, L.M., Suso, M.J., Flores, F., 2004. Biplot analysis of trait relations of white lupin in Spain. Euphytica 135, 217–224.

Sabaghnia, N., Dehghani H., Sabaghpour, S.H., 2006. Nonparametric methods for interpreting genotype × environment interaction of lentil genotypes. Crop Science. 46: 1100-1106.

Sabaghnia, N., 2014. Investigation of some morphological traits in studied lentil (Lens culinaris Medik.) genotypes grown with foliar application of nanosized ferric oxide. Annales Universitatis Mariae Curie – Sklodowska lubline – Polonia. 2, 29-38.

Sabaghnia, N., Mohebodini, M., Janmohammadi, M., 2016. Biplot analysis of trait relationsn of spinach (Spinacia oleracea L.) landraces. Genetika. 48, 675-690.

Safari Dolatabad, S., Choukan, R., Majidi Hervan, I., Dehghani, H., 2010. Multienvironment analysis of traits relation and hybrids comparison of maize based on the genotype by trait biplot. American Journal of Agricultural and Biological Sciences. 5, 107-113.

Salehifar, M., Rabiei, B., Afshar Mohammadian, M., Asghari, J., 2014. Effect of IAA and Kinetin application on plant characteristics and chlorophyll fluorescence parameters in rice seedlings under drought stress condition. Iranian Journal of Crop Sciences. 16, 293-307. [In Persian with English Summary]

Samonte, S.O.P.B., Tabien, R.E., Wilson, L.T., 2013. Parental selection in rice cultivar improvement. Rice Science. 20, 45-51. [In Persian with English Summary]

Samonte, S.O.P.B., Wilson, L.T., Clung A.M. Mc., Medley, J.C., 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science. 45, 2414-2424.

Sharifi P., Dehghani, H., Mumeni, A., Moghaddam, M., 2013. Studying genetic relations of some rice agronomic traits with grain yield by some of multivariate analysis. Iranian Journal of Field Crop Science. 44, 169-179. [In Persian with English Summary].

Suzuki, N., Rivero, R.M., Shulaev, V., Blumwald, E., Mittler, R., 2014. Abiotic and biotic stress combinations. New Phytologist 203, 32–43.

 Wang, Y., Zhang, L., Nafisah, A., Zhu, L., Xu, J., Li, Z., 2013. Selection efficiencies for improving drought. Salt tolerances and yield using introgression breeding in rice (Oryza sativa L.) The Crop Journal. 1, 134-142.‌

Xu, N., Fok, M., Li, J., Yang, X., Yan, W., 2017. Optimization of cotton variety registration criteria aided with genotype-by-trait biplot analysis. Scientific Reports. 7, 1-9.

Yan, W., 1999. Methodology of cultivar evaluation based on yield trial data with special reference to winter wheat in Ontario. Ph. D. Dissertation. University of Guelph, Guelph, Ontario, Canada.

Yan, W., Fregeau-Reid, J., 2008. Breeding line selection based on multiple traits. Crop Science. 48, 417-423.

Yan, W., Kang, M.S., 2003. GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. CRC Press, Boca Raton, FL, USA.

Yan, W., Rajcan, I., 2002. Biplot Analysis of test sites and trait relations of soybean in Ontario. Crop Science 42, 11–20.

Zinolabedin, T. S., Hemmatollah, P., Seyed, A.M., Modarres, S., Hamidreza, B., 2008. Study of water stress effects in different growth stages on yield and yield components of different rice (Oryza sativa L.) cultivars. Pakistan Journal of Biological Sciences. 11, 1303–1309.

Zobel, R., Wright, W.M.J., Gauch, H.G., 1988. Statistical analysis of a yield trial. Agronomy Journal. 80, 388-393.