انتخاب برترین ژنوتیپ‌ها در برنج (Oryza sativa L.) با استفده از پارامتر‌های فلورسانس کلروفیل براساس شاخص‌های BLPSI و LPSI
محورهای موضوعی : ژنتیکمهناز کاتوزی 1 , سعید نواب پور 2 , حسین صبوری 3 , علی اکبر عبادی 4
1 - گروه اصلاح نباتات، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران و گروه ژنومیک دینامیک، اگروسکوپ، سوئیس.
2 - گروه اصلاح نباتات، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.
3 - گروه تولیدات گیاهی، دانشگاه گنبد کاووس، گنبد کاووس، ایران.
4 - سازمان تحقیقات، آموزش و ترویج کشاورزی، رشت، ایران، موسسه تحقیقات برنج کشور.
کلید واژه: برنج, ژنوتیپ, سرعت انتقال الکترون, وزنه اقتصادی, فتوسیستم II,
چکیده مقاله :
به منظور انتخاب برترین افراد حاصل از آمیزش لاین های برنج (Oryza sativa L.) طارم بومی و موتانت با استفاده از ویژگی های فلورسانس کلروفیل و براساس شاخص های BLPSI و LPSI، آزمایشی با استفاده از 350 فردF2 در سال 1396 اجرا شد. والدین، نسل اول و دوم در سال زراعی 1396 در مزرعه تحقیقاتی دانشگاه گنبد کاووس کشت شدند. خصوصیات فلورسانس کلروفیل Fo، F'o ، Fm، F'm ، F'، ETR، Fv، Fv/Fm، F'v/F'm، NPQ، qP، (Y (II، qN، qL و وزن 100 دانه، تعداد ساقه، تعداد دانه پر، تعداد دانه های پوک، ارتفاع بوته، طول خوشه، تعداد خوشچه، قطر ساقه، طول دانه، عرض دانه، شکل دانه، وزن کاه، طول دوره رسیدگی، طول برگ پرچم، عرض برگ پرچم، نیز ثبت شدند. سرعت انتقال الکترون از طریق فتوسیستم 2، عرض برگ پرچم، فلورسانس پایه در حالت های سازگار شده به تاریکی، تعداد پنجه بارور، فلورسانس حداکثر در حالت های سازگار شده به تاریکی، تعداد خوشچه اولیه، سطح برگ پرچم، تعداد دانه پر، طول برگ پرچم، طول خوشه اصلی و وزن بوته به ترتیب بیشترین تاثیر را روی عملکرد دانه داشتند. بالاترین پاسخ به انتخاب در هر دو شاخص BLPSI و LPSI به وزنه اقتصادی نهم (وراثت پذیری) تعلق داشت. بعد از این ضریب، ضریب ششم (همبستگی) دارای بالاترین پاسخ به انتخاب بود. نتایج نشان داد که وراثت پذیری پارامتر های فلورسانس کلروفیل می توانند به طور کارایی به عنوان وزنه اقتصادی در انتخاب بهترین افراد مورد استفاده قرار گیرند. ژنوتیپ های 3، 6، 17، 24 و 30 براساس شاخص LPSI و ژنوتیپ های سه و شش براساس BLPSI به عنوان ژنوتیپ های برتر انتخاب شدند.
In order to selection of best individual caused Iranian traditional rice variety, Tarommahalli (as the female parent), and a mutant Tarommahalli, (as the male parent) crosses an experiment was conducted using 350 individulas of F2 generation. from which F1 and F2 generations were developed. Evaluation of the parents, F1 and F2 generations was carried out at the Gonbad Kavous University at 2017. 50 plants of both the F1 population and the parents and 350 individuals of the F2 population were grown in an experimental field with a spacing of 25 cm × 25 cm. Chlorophyll fluorescence properties Fo, F'o, Fm, F'm, F ', ETR, Fv, Fv / Fm, F'v / F'm, NPQ, qP, Y (II), qN, qL and weight of 100 grains, tiller number, filled grains number, unfilled grains number, plant height, panicle length, stem diameter, grain length, width and shape, straw weight, grain filling period, flag leaf length and width were recorded. The rate of electron transfer through photosystem II, flag leaf width, base fluoresce in dark-adapted conditions, the number of fertile tillers, maximum fluorescence in the dark-adapted conditions, number of primary branches, flag leaf area, flag leaf length, main panicle length and plant weight had the highest effect on grain yield, respectively. The highest response to selection belongs to 9th economic weight (heritability) in both BLPSI and LPSI indices. After, sixth coefficients (correlation) had the highest response to the selection. The results showed that the inheritance of Chlorophyll fluorescence parameters can be effectively used as an economic weight in the selection of the best individual. Genotypes 3, 6, 17, 24 and 30 were selected based on LPSI and genotypes 3 and 6 based on BLPSI as superior genotypes. The BLPSI and LPSI indices had high efficiency in this research and are recommended for improving the rice grain yield.
Baker, R. J. (1986). Selection Indices in Plant breeding. CRC. Press. Inc. 218p.
Biswas, B., Hasanuzzaman, K.M., El-Taj, F., Alam, M.S., and Amin, M.R. (2001). Simultaneous selection for fodder and grain yield in sorghum. Journal of Biological Sciences. 1: 321-323.
Brim, C.A., Johnson H.W., and Cockerham C.C. (1959). Multiple selection criteria in soybeans. Agronomy Journal 51: 42-46.
Bouyoucos, G.J. (1962). Hydrometer method improved for making particle size analyses of soils. Agronomy Journal. 54: 464–465.
Dehghan, R., Majidi, M. M., and Saeidi, G. (2017). Direct and indirect selection responses for seed yield and its components in safflower (Carthamus tinctorius L.). Journal of Crop Production and Processing. 7(1): 115-125
Eshghizadeh, H.R., and Ehsanzadeh, P. (2009). Effect of defferrent irrigation regims on corn (Zea mays L.) genotypes, fluorescence chlorophyll, growth characteristics and seed yield. Iranian Journal of Field Crop Science 40(2): 135-144.
F.A.O. (2017). http://faostat. Fao.org/site/339/default.aspx.
Falconer, D. S. (1989). Introduction to Quantitative Genetics. Longman Group Ltd., London.
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008a). Multi-trait Selection for Screening Elite Genotypes of an F2 Rice Population. Journal of Water and Soil Science. 11 (42):41-52
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008b). Using of genetic path coefficients for providing of optimum and base selection indices in rice. Journal of Crop Science. 17 (4):97-112.
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008c). Using of selection indicies in a F3 rice population. Iranian Journal of Agriculture Science. 38 (2):385-397.
Ghasemi, F., Baghizadeh, A., Mohammadinejad, Gh., and Kavoosi, H.R. (2017). Evaluation of selection indices for improving grain yield in Cuminum cyminum L. Iranian Journal of Medicinal and Aromatic Plants. 32(6): 1088-1098.
Gupta, M.L., Prasad, A., Ram, M. and Kumar, S. (2002). Effects of the vesicular-arbuscular mycorrhizal (VAM) fungus Glomus fasciculatum on the essential oil yield related cultivars of menthol mint (Mentha arvensis) under field conditions. Bioresource Technology. 81: 77–9.
Kazemi Arbat, H. (2006). Morphology and Anatomy in Cereals. Second Press. Tabriz University Press. 588 pp.
Haluschak, P. (2006). Laboratory methods of soil analysis. Canada–Manitoba Soil Survey. 133p.
Hazel, L. (1943). The genetic basis for constructions selection indices. Genetics 28: 476-490.
Mohammadi, H., Soltani, A., Sadeghipour, H., Zeinali, E., and Najafi Hezarjaribi, R. (2008). Effect of seed deterioration on vegetative growth and chlorophyll fluorescence in soybean (Glycine max L.). Journal of Agricultural Science and Natural Resource 15(5): 112-118.
Marcelo, M. C., Antonio, D.M.O., Sandra, U., Nair, C.A., Ivana, M.B., Gustavo, D.S. and Romero, S.M.F. (2008). Analysis of direct and indirect selection and indices in soyabean segregating populations. Crop Breeding and Applied Biotechnology 8: 447-455.
Monirifar, H. (2010). Evaluation of selection indices for alfalfa (Medicago sativa L.). Notulae Scientia Biologicae. 2: 84-87.
Operations manual PEA. (2006). Hansatech Instruments Ltf. England. 77p.
Page, A.L. (1982). Methods of soil analysis. Part 2: Chemical and microbiological properties, American Society of Agronomy, Soil Science Society of America.
Pesek, J., and Baker, R. J. (1969). Desired improvement in relation to selection indices. Canadian Journal of Plant Science 49: 803-804.
Rezai, A. M., and Yousofi Azar, M. (2008). Comparison of Direct and Indirect Selection Methods Based on Selection Indices in Wheat Lines in Drought and Non-Drought Conditions. Journal of Water and Soil Science. 12 (45):21-32
Sabouri, H., Mohammadinejad, G., and Fazlalipour, M. (2011). Selection for yield improvement using of multivariate statistical methods in rice. Iranian Journal of Field Crops Research. 9(4):639-650.
Sabouri, H., Biabani, A., Fazlalipour, M., and Sabouri, A. (2010). Determination of best selection indices for facilitating selection in rice. Journal of Plant Production, 17(4):1-25.
Sabouri, H.. Sabouri, A., and Dadras, A.R. (2009). Genetic dissection of biomass production and partitioning with grain yield and yield traits in indica-indica crosses of rice (Oryza sativa L.) cultivars. Australian Journal of Crop Science 3: 155-166.
Sabouri, H., Rabiei, B., and Fazlalipour, M. (2008). Use of selection indices based on multivariate analysis for improving grain yield in rice. Rice Science. 15: 303-310.
Salehi, M., and Saeidi G. (2013). Selection Indices for Seed Yield Improvement in Sesame (Sesamum indicum L.). Iranian Journal of Field Crop Research. 10(4):667-673.
Samimi Sadeh, N., Saba, J., Shekari, F., and Soleimani, K. (2008). Potential usefulness of the physiological traits for evaluation of drought resistance in wheat. Journal of Agricultural Science and Natural Resource 14(5): 110-115
Smith, H.F. (1936). A discrimination function for plant selection. Annals of Eugenics, 7: 240-250.
Soltani, A. (2004). Chlorophyll fluorescence and its application. Internal Press. University of Agricultural Science and Natural Resource, Gorgan., Iran.
Sparks, D.L., Page, A., Helmke, P., Loeppert, R., Soltanpour, P., Tabatabai, M., Johnston, C. T., and Sumner, M.E. (1996). Methods of soil analysis. Part 3: Chemical methods, Soil Science Society of America Inc.
Suwantaradon, K., Eberhart, S.A., Mock, J.J., Owens J.C., and Guthrie. W.D. (1975). Index selection for several agronomic traits in the BSSS2 maize population. Crop Science 15: 827-833.
Thomas, G., Sparks, D. L., Page, A., Helmke, P., Loeppert, R., Soltanpour, P., Johnston, C. T., and Sumner, M.E. (1996). Soil pH and soil acidity. Methods of soil analysis. Part 3: chemical methods 475–490.
Walkley, A., and Black, I. A. (1934). An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science 37: 29–38.
Valizadeh, M., and Moghaddam, M. (1999). Introduction to Quantitative Genetics. Academic Center Press. Tehran. 548 pp.
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Baker, R. J. (1986). Selection Indices in Plant breeding. CRC. Press. Inc. 218p.
Biswas, B., Hasanuzzaman, K.M., El-Taj, F., Alam, M.S., and Amin, M.R. (2001). Simultaneous selection for fodder and grain yield in sorghum. Journal of Biological Sciences. 1: 321-323.
Brim, C.A., Johnson H.W., and Cockerham C.C. (1959). Multiple selection criteria in soybeans. Agronomy Journal 51: 42-46.
Bouyoucos, G.J. (1962). Hydrometer method improved for making particle size analyses of soils. Agronomy Journal. 54: 464–465.
Dehghan, R., Majidi, M. M., and Saeidi, G. (2017). Direct and indirect selection responses for seed yield and its components in safflower (Carthamus tinctorius L.). Journal of Crop Production and Processing. 7(1): 115-125
Eshghizadeh, H.R., and Ehsanzadeh, P. (2009). Effect of defferrent irrigation regims on corn (Zea mays L.) genotypes, fluorescence chlorophyll, growth characteristics and seed yield. Iranian Journal of Field Crop Science 40(2): 135-144.
F.A.O. (2017). http://faostat. Fao.org/site/339/default.aspx.
Falconer, D. S. (1989). Introduction to Quantitative Genetics. Longman Group Ltd., London.
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008a). Multi-trait Selection for Screening Elite Genotypes of an F2 Rice Population. Journal of Water and Soil Science. 11 (42):41-52
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008b). Using of genetic path coefficients for providing of optimum and base selection indices in rice. Journal of Crop Science. 17 (4):97-112.
Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H., and Rahim Soroush, H. (2008c). Using of selection indicies in a F3 rice population. Iranian Journal of Agriculture Science. 38 (2):385-397.
Ghasemi, F., Baghizadeh, A., Mohammadinejad, Gh., and Kavoosi, H.R. (2017). Evaluation of selection indices for improving grain yield in Cuminum cyminum L. Iranian Journal of Medicinal and Aromatic Plants. 32(6): 1088-1098.
Gupta, M.L., Prasad, A., Ram, M. and Kumar, S. (2002). Effects of the vesicular-arbuscular mycorrhizal (VAM) fungus Glomus fasciculatum on the essential oil yield related cultivars of menthol mint (Mentha arvensis) under field conditions. Bioresource Technology. 81: 77–9.
Kazemi Arbat, H. (2006). Morphology and Anatomy in Cereals. Second Press. Tabriz University Press. 588 pp.
Haluschak, P. (2006). Laboratory methods of soil analysis. Canada–Manitoba Soil Survey. 133p.
Hazel, L. (1943). The genetic basis for constructions selection indices. Genetics 28: 476-490.
Mohammadi, H., Soltani, A., Sadeghipour, H., Zeinali, E., and Najafi Hezarjaribi, R. (2008). Effect of seed deterioration on vegetative growth and chlorophyll fluorescence in soybean (Glycine max L.). Journal of Agricultural Science and Natural Resource 15(5): 112-118.
Marcelo, M. C., Antonio, D.M.O., Sandra, U., Nair, C.A., Ivana, M.B., Gustavo, D.S. and Romero, S.M.F. (2008). Analysis of direct and indirect selection and indices in soyabean segregating populations. Crop Breeding and Applied Biotechnology 8: 447-455.
Monirifar, H. (2010). Evaluation of selection indices for alfalfa (Medicago sativa L.). Notulae Scientia Biologicae. 2: 84-87.
Operations manual PEA. (2006). Hansatech Instruments Ltf. England. 77p.
Page, A.L. (1982). Methods of soil analysis. Part 2: Chemical and microbiological properties, American Society of Agronomy, Soil Science Society of America.
Pesek, J., and Baker, R. J. (1969). Desired improvement in relation to selection indices. Canadian Journal of Plant Science 49: 803-804.
Rezai, A. M., and Yousofi Azar, M. (2008). Comparison of Direct and Indirect Selection Methods Based on Selection Indices in Wheat Lines in Drought and Non-Drought Conditions. Journal of Water and Soil Science. 12 (45):21-32
Sabouri, H., Mohammadinejad, G., and Fazlalipour, M. (2011). Selection for yield improvement using of multivariate statistical methods in rice. Iranian Journal of Field Crops Research. 9(4):639-650.
Sabouri, H., Biabani, A., Fazlalipour, M., and Sabouri, A. (2010). Determination of best selection indices for facilitating selection in rice. Journal of Plant Production, 17(4):1-25.
Sabouri, H.. Sabouri, A., and Dadras, A.R. (2009). Genetic dissection of biomass production and partitioning with grain yield and yield traits in indica-indica crosses of rice (Oryza sativa L.) cultivars. Australian Journal of Crop Science 3: 155-166.
Sabouri, H., Rabiei, B., and Fazlalipour, M. (2008). Use of selection indices based on multivariate analysis for improving grain yield in rice. Rice Science. 15: 303-310.
Salehi, M., and Saeidi G. (2013). Selection Indices for Seed Yield Improvement in Sesame (Sesamum indicum L.). Iranian Journal of Field Crop Research. 10(4):667-673.
Samimi Sadeh, N., Saba, J., Shekari, F., and Soleimani, K. (2008). Potential usefulness of the physiological traits for evaluation of drought resistance in wheat. Journal of Agricultural Science and Natural Resource 14(5): 110-115
Smith, H.F. (1936). A discrimination function for plant selection. Annals of Eugenics, 7: 240-250.
Soltani, A. (2004). Chlorophyll fluorescence and its application. Internal Press. University of Agricultural Science and Natural Resource, Gorgan., Iran.
Sparks, D.L., Page, A., Helmke, P., Loeppert, R., Soltanpour, P., Tabatabai, M., Johnston, C. T., and Sumner, M.E. (1996). Methods of soil analysis. Part 3: Chemical methods, Soil Science Society of America Inc.
Suwantaradon, K., Eberhart, S.A., Mock, J.J., Owens J.C., and Guthrie. W.D. (1975). Index selection for several agronomic traits in the BSSS2 maize population. Crop Science 15: 827-833.
Thomas, G., Sparks, D. L., Page, A., Helmke, P., Loeppert, R., Soltanpour, P., Johnston, C. T., and Sumner, M.E. (1996). Soil pH and soil acidity. Methods of soil analysis. Part 3: chemical methods 475–490.
Walkley, A., and Black, I. A. (1934). An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science 37: 29–38.
Valizadeh, M., and Moghaddam, M. (1999). Introduction to Quantitative Genetics. Academic Center Press. Tehran. 548 pp.