Volume 10, Issue 27 (11-2018)
jcb 2018, 10(27): 180-195 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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-en.html
URL: http://jcb.sanru.ac.ir/article-1-715-en.html
Rasht Branch, Islamic Azad University
Abstract: (3028 Views)
In order to evaluate the effect of drought stress and determine of effective traits on grain yield and estimate of genetic parameters, 18 mutant rice lines were studied in normal and drought stress conditions. The experiments were carried out separately using randomized complete block design with three replications during cropping season 2014-2015 at Iranian Rice Research Centers in North of Iran, Rasht. High values of heritability, genetic advances and genetic variances were observed for plant height, tiller number, filled grain number and unfilled grain number in both conditions, but grain productivity and grain yield were appeared only under drought stress conditions. This indicated the additive effects of genes in controlling of these traits and, therefore, these traits can be improved by selection in breeding programes. There were positive correlations between grain yield and tiller number, panicle exsertion, grain productivity and width and length of flagh leaf in normal irrigation condition. Grain yield had also positive correlation with flagh leaf width, panicle exsertion, filled grain number, grain productivity and width and length of grain under drought stress conditions. Regression and path analyses indicated positive effects of grain width, grain productivity, flagh leaf width, filled grain number, tiller number and internode length in normal irrigation conditions and grain productivity, grain width and tiller number under drought stress conditions. Therefore, it is possible to improve grain yield using these variables. The genotypes including G1, G2, G3 and G4 had the highest values of grain yield (2788, 2163, 2178 and 2194 kg ha-1) under drought stress conditions, and influencing traits on grain yield. Due to the stress index (SI), these genotypes were also as drought tolerant and, thus, can be used for introducing the drought tolerance cultivar.
Type of Study: Research |
Subject:
Special
Received: 2017/01/15 | Revised: 2018/12/8 | Accepted: 2018/01/13 | Published: 2018/12/8
Received: 2017/01/15 | Revised: 2018/12/8 | Accepted: 2018/01/13 | Published: 2018/12/8
References
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.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
