دوره 10، شماره 27 - ( پاییز 1397 )                   جلد 10 شماره 27 صفحات 195-180 | برگشت به فهرست نسخه ها


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Sharifi P, Ebadi A A, Aminpanah H. (2018). Evaluation of some Agronomic Traits and their Association with Grain Yield in Mutant Rice Lines under Normal and Post-anthesis Drought Stress Conditions . jcb. 10(27), 180-195. doi:10.29252/jcb.10.27.180
URL: http://jcb.sanru.ac.ir/article-1-715-fa.html
شریفی پیمان، عبادی علی اکبر، امین‌پناه هاشم. ارزیابی برخی صفات زراعی و ارتباط آنها با عملکرد دانه در لاین‌های موتانت برنج در شرایط آبیاری نرمال و تنش خشکی انتهایی پژوهشنامه اصلاح گیاهان زراعی 1397; 10 (27) :195-180 10.29252/jcb.10.27.180

URL: http://jcb.sanru.ac.ir/article-1-715-fa.html


واحد رشت، دانشگاه آزاد اسلامی
چکیده:   (2996 مشاهده)

     به منظور مطالعه اثر خشکی و تعیین صفات مؤثر بر عملکرد دانه و برآورد پارامترهایی ژنتیکی در شرایط آبیاری نرمال و تنش خشکی، 18 لاین ‌موتانت برنج به صورت دو آزمایش جداگانه در قالب طرح بلوک‌های کامل تصادفی با 3 تکرار در سال زراعی 94-1393 در مؤسسه تحقیقات برنج کشور در رشت مورد بررسی قرار گرفتند. وراثت‌پذیری، پیشرفت ژنتیکی و واریانس ژنتیکی بالا برای صفات ارتفاع بوته، تعداد پنجه بارور، تعداد دانه پر و تعداد دانه پوک در هر دو شرایط و درصد باروری و عملکرد دانه در شرایط تنش خشکی مشاهده شد. این نشان‌می‌دهد که صفات فوق توسط ژن‌های افزایشی کنترل می‌شوند و می‌توان آنها را در برنامه‌های اصلاحی از طریق گزینش بهبود داد. عملکرد دانه در شرایط آبیاری نرمال با تعداد پنجه بارور، طول خروج خوشه، درصد باروری و طول و عرض دانه و در شرایط تنش خشکی با عرض برگ پرچم، طول خروج خوشه از غلاف، تعداد دانه پر، درصد باروری و طول و عرض دانه همبستگی مثبت داشت. نتایج تجزیه رگرسیون و تجزیه علیت تأثیر مثبت عرض دانه، درصد باروری دانه، عرض برگ پرچم، تعداد دانه پر در خوشه، تعداد پنجه و طول میانگره در شرایط آبیاری نرمال و درصد باروری دانه، عرض دانه و تعداد پنجه در شرایط تنش خشکی را بر روی عملکرد دانه نشان دادند. بنابراین امکان بهبود عملکرد دانه با استفاده از این متغیرها وجود دارد. در شرایط تنش خشکی، ژنوتیپ‌های شماره 1، 2،  3 و 4  دارای بیشترین میزان عملکرد دانه (به‌ترتیب با مقادیر برابر با 2788، 2163، 2178 و 2194 کیلوگرم در هکتار) و صفات تأثیرگذار بر آن بودند. با توجه به شاخص تنش، ژنوتیپ‌های فوق متحمل به خشکی بودند و می‌توانند برای معرفی ارقام متحمل به خشکی استفاده شوند.
 

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نوع مطالعه: پژوهشي | موضوع مقاله: اصلاح براي تنش هاي زنده و غيرزنده محيطي
دریافت: 1395/10/26 | ویرایش نهایی: 1397/9/17 | پذیرش: 1396/10/23 | انتشار: 1397/9/17

فهرست منابع
1. Abouzari Gazafrodi, A., R. Honarnejad, M.H. Fotokian and A. Alami. 2007. Study of correlations among agronomic traits and path analysis in rice (Oryza sativa L.). Journal of Science and Technologyin Agriculture and Nature Resources, 10(2): 99-106 (In Persian).
2. Adilakshmi, D. and M. Girija Rani. 2012. Variability, character association and path analysis in rice varieties under submergence. Crop Research, 44(1&2): 146-151.
3. Afiukwa, C.A., J.O. Faluyi, C.J. Atkinson, B.E. Ubi, D.O. Igwe and R.O. Akinwale. 2016. Screening of some rice varieties and landraces cultivated in Nigeria for drought tolerance based on phenotypic traits and their association with SSR polymorphisms. African Journal of Agricultural Research, 11(29): 2599-2615. [DOI:10.5897/AJAR2016.11239]
4. Aminpanah, H. and P. Sharifi. 2013. Path analysis of rice (Oryza sativa L.) grain yield and its related components in competition with barnyard grass [Echinochloa crus-galli (L.) P. Beauv. Journal of crop Production and Proccessing, 3: 105-121 (In Persian).
5. Bagheri, N.A., N.A. Babaeian-Jelodar and A. Pasha. 2011. Path coefficient analysis for yield and yield components in diverse rice (Oryza sativa L.) genotypes. Biharean Biologist, 5(1): 32-35.
6. Bakar, B.B., N.A.N. Lajili, S. Suhaimi, A. Suzana and J. Abdul Munir. 2005. Path analysis of two sympatric weed species (Echinochloa crus-galli ssp. crus-galli (L.) Beauv. and Ischaemum rugosum Salisb.) in competition with rice (Oryza sativa L. var. MR84) - a comparative study. Plant Protection Quarterly, 20(2): 67-73.
7. Balouchzaehi1 A.B. and G. Kiani. 2013. Determination of selection criteria for yield improvement in rice through path analysis. Journal of Crop Breeding, 5(12): 75-84 (In Persian).
8. Beikzadeh, H., S.M. Alavi Siney, M. Bayat and A.A. Ezady. 2015. Estimation of genetic parameters of effective agronomical traits on yield in some of Iranian rice cultivar. Agronomy Journal (Pajouhesh & Sazandegi), 104: 73-78 (In Persian).
9. Caton, B.P., A.E. Cope and M. Mortimer. 2003. Growth traits of diverse rice cultivars under severe competition: Implications for screening for competitiveness. Field Crops Research, 83:157-172. [DOI:10.1016/S0378-4290(03)00072-8]
10. Chauby, P.K. and R.P. Singh. 1994. Genetic variability, correlation and path analysis of yield and yield components of rice. Madras Agricultural Journal, 81: 468-470.
11. Dey, M.M. and H.K. Upadhyaya. 1996. Yield loss due to drought, cold and submergence tolerance. Journal of Rice Research in. Asia, 5: 63-66.
12. Dingkuhn, M., D.E. Johnson, A. Sow and A.Y. Audebert. 1999. Relationships between upland rice canopy characteristics and weed competitiveness. Field Crops Research, 61: 79-95. [DOI:10.1016/S0378-4290(98)00152-X]
13. Fischer, R.A. and R. Maurer. 1978. Drought resistance in spring wheat cultivar: I- Grain yield response. Australian Journal of Agriculture Research, 29: 897-912. [DOI:10.1071/AR9780897]
14. Ghiasy Oskoee, M., H. Farahbakhsh, H. Sabouri and G. Mohammadinejad. 2012. Effect of drought stress on yield and yield components in rice landraces and improved cultivars under Gonbad Kavous environmental condition. Cereal Research, 2(3): 165-179 (In Persian).
15. Gohari, M., M. Khayat, and S. Lack. 2010. Correlation and path analysis in some of important agronomic traits on grain yield of rice cultivars. New Finding in Agriculture, 4(3): 261-269 (In Persian).
16. Haider, Z., A.S. Khan and S. Zia. 2012. Correlation and path coefficient analysis of yield components in rice (Oryza sativa L.) under simulated drought stress condition. American-Eurasian Journal of Agricultural and Environmental Science, 12(1): 100-104.
17. Haider, Z., A. Razaq, A. Mehboob, S. ur Rehman, A. Iqbal, A. Hussain, U. Saeed, M.T. Naveed, S. Zia, Z. Mahmood and K. Mehmood. 2013. Comparison of associations among yield and yield components in rice (Oryzae sativa L.) under simulated drought stress condition using multivariate statistics. International Journal of Scientific and Engineering Research, 4 (8): 329-340.
18. Hasan-Nataj, E., M. Pouryousef, N. Babaeian-Jelodar, H. Pirdashti and N. Bagheri. 2013. Investigation of morphological traits related to yield of rice (Oryza Sativa L.) promising lines. Journal of Crop Breeding, 5(11): 34-48 (In Persian).
19. Honarnejad, R. 2003. Study of correlation between some quantitative traits and grain yield in rice (Oryza sativa L.) using path analysis. Iranian Journal of Crope Sciences, 1: 25-34 (In Persian).
20. Hurd, E.A. 1971. Can we breed for drought resistance? In: Larson K. L. and Rachter J. D. (Eds). Drought injury and in resistance crop. CSSA Special Publication II, Crop Science Society of America, USA. pp: 77-88.
21. Jayasudha, S. and D. Sharma. 2010. Genetic parameters of variability, correlation and path-coefficient for grain yield and physiological traits in rice (Oryza sativa L.) under shallow lowland situation. Electronic Journal of Plant Breeding, 1(5): 33-38.
22. Jahani, M., G. Nematzadeh and G. Mohammadi Nejad. 2015. Evaluation of Agronomic Traits Associated with Grain Yield in Rice (Oryza sativa) Using Regression and Path Analysis. Journal of Crop Breeding, 7(16): 115-122 (In Persian).
23. Johnson, H.W., H.F. Robinson and R.E. Comstock. 1955. Estimates of genetic and environmental variability in soybean. Agronomy Journal. 47: 314-318. [DOI:10.2134/agronj1955.00021962004700070009x]
24. Majd, F. and M.R. Ardakani. 2004. Nuclear Techniques in Agriculture Sciences. Tehran University Press, 381 pp.
25. Majidi, T. 2011. Path analysis software. Available in: http://www.pathanalysis.mihanblog.com/.
26. Mohammadi, S.A., B.M. Prasanna and N.N. Singh. 2003. Sequential path model for determining interrelationships among grain yield and related characters in maize. Crop Science, 43: 1690-1697. [DOI:10.2135/cropsci2003.1690]
27. Mumeni, A., A.A. Zali and P. Vejdani. 1996. Study correlations and path analysis for some of important agronomic traits on rice grain yield. Fourt Iranian Agronomy and Plant Breeding Congress, Esfahan University, 28-30 August, (In Persian).
28. Nematzadeh, G.A., A.J. Ali, M. Sattari, A. Valizadeh, E. Alinejad and M.Z. Nouri. 2006. Relationship between different allogamic associated trait characteristics of five newly developed cytoplasmic male sterile lines in rice. Journal of Central European Agriculture, 7(1): 49-56.
29. Panahabadi, R., A. Ahmadikhah and H. Askari. 2016. The effects of drought stress on morpho-physiological characters and expression of OsCat A in rice seedling. Journal of Agricultural Biotecnology, 8(2): 1-16 (In Persian).
30. Pandey, V.R., P.K. Singh, O.P. Verma and P. Pandey. 2012. Inter-relantionship and path coefficient estimation in rice under salt stress environment. International Journal of Agricultural Research, 1: 1-16.
31. Pantuwan, G., S. Fukai, M. Cooper, S. Rajatasereekul and J.C. O'Toole. 2002. Yield response of rice (Oryza sativa L.) genotypes to different types of drought under rainfed lowlands. Plant factors contributing to drought resistance. Journal of Field Crops Research, 73: 181-200. [DOI:10.1016/S0378-4290(01)00194-0]
32. Prakash, S. and B.G. Prakash. 1987. Path analysis in ratoon rice. Rice Abstract, 24: 215-218.
33. Rahim Souroush, H., M. Mesbah and A. Hosseinzadeh. 2005. Study relations among yield and yield component traits in rice. Iranian Journal of Agriculture Sciences, 35(4): 983-993 (In Persian).
34. Ravindra Babu, V., K. Shreya, K.S. Dangi, G. Usharani and A.S. Shankar. 2012. Correlation and path analysis studies in popular rice hybrids of India. International Journal of Scientific and Research Publications, 2(3): 1-5.
35. Roy, D. 2000. Plant breeding analysis and exploitation of variation. Alpha Science. 798 pp.
36. Sabori, H., G. Mohammadinejad and M. Fazlalipour. 2011. Selection for improve rice yield by multivariate analysis. Iranian Journal of Field Crops Research, 9(4): 639-650 (In Persian).
37. Sabori, H., A. Rezai, S.A.M. Mirmohammady Maibody and M. Esfahani. 2006. Path analysis for rice grain yield and related traits in tow planting patterns. Journal of Science and Technologyin Agriculture and Nature Resources, 9(1): 113-128 (In Persian).
38. Sarawgi, K.A., N.K. Ratagi and D.K. Soni. 1997. Correlation and path analysis in rice accessions from Madhya Pradesh. Field Crop Science, 38: 1130-1136.
39. Satheeshkumar, P. and K. Saravanan. 2012. Genetic variability, correlation and path analysis in rice (Oryza Sativa L.). International Journal of Current Research, 4: 82-85.
40. Selvaraj, C.I., P. Nagarajan, K. Thiyagarajan, M. Bharathi and R. Rabindran. 2011. Genetic parameters of variability, correlation and path coefficient studies for grain yield and other yield attributes among rice blast disease resistant genotypes of rice (Oryza Sativa L.). African Journal of Biotechnology, 10(17): 3322-3334. [DOI:10.5897/AJB10.2575]
41. Shahid-Masood, M., A. Javaid, M. Ashiq Rabbani and R. Anwar. 2005. Phenotypic diversity and trait association in bread wheat (Triticum aestivum L.) landraces from Baluchistan, Pakistan. Pakistan Journal of Botany, 37: 949-957.
42. Sharifi P., H. Dehghani, A. Mumeni and M. Moghaddam. 2013. Study genetic relations of some of rice agronomic traits with grain yield by some of multivariate analysis. Iranian Journal of Crop Science, 44(1): 169-179 (In Persian).
43. SPSS. 2008. The SPSS System for Windows. Release 22.0. SPSS Inc., IBM Company Headquarters, USA.
44. Surek, H. and N. Beser. 2005. Selection for grain yield and its components in early generations in rice (Oryza sativa L.). Trakya University Journal Sciences, 6: 51-58.
45. Vaezi, S., S. Abde-Mishani, B. Yazdi-Samadi and M.R. Ghanadha. 2000. Correlation and path analysis in maize yield and yield components. Iranian Journal of Agriculture Science, 31(2): 71-82 (In Persian).
46. Venuprasad. R., H.R. Lafitte and G.N. Atlin. 2007. Response to direct selection for grain yield under drought stress in rice. Crop Science, 47: 285-293. [DOI:10.2135/cropsci2006.03.0181]
47. Watson, P.R., D.A. Derksen, R.C. Van Acker and M.C. Blrvine. 2002. The contribution of seed, seedling and mature plant traits to barley cultivar competitiveness aginest weeds. Proc. National Meeting- Canadian Weed Science Society, pp: 49-57.
48. Yadav, R.B., R.K. Dubey, M.K. Srivastava and K.K. Sharma. 1995. Path coefficient analysis under three densities in rice. Journal of Soils and Crops, 5(1): 43-45.

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