Volume 10, Issue 26 (9-2018)
jcb 2018, 10(26): 173-184 |
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Gholizadeh A, Dehghani H, Amini A, Akbarpour O. (2018). Investigation of the Genetic Diversity of Iranian Bread Wheat Germplasm for Tolerance to Saline Stress. jcb. 10(26), 173-184. doi:10.29252/jcb.10.26.173
URL: http://jcb.sanru.ac.ir/article-1-752-en.html
URL: http://jcb.sanru.ac.ir/article-1-752-en.html
Abstract: (3163 Views)
Salinity stress is one of the major abiotic stresses in arid and semi-arid regions of the world, such as Iran. High genetic diversity for salinity tolerance has been observed in Iranian bread wheat genotypes. In order to analyze genetic diversity and determine the most effective characteristics on salinity tolerance, 110 bread wheat genotypes were evaluated in two conditions (non-stress and saline stress) at the research field of the National Salinity Research Center (NSRC). The salinity of water used in irrigation in stress and non-stress conditions was 10 and 2 ds.m-1, respectively. The results showed that there was a significant genetic variation between studied genotypes. According to cluster analysis based on agronomical and morphological traits, genotypes were divided into 4 categories in both non-stress and stress conditions. According to the results of the means comparison of the groups in non-stress and saline stress conditions, the genotypes No. 2, 5, 7, 8, 9, 10, 11, 12, 13, 31, 35, 38, 73, 81, 97 and 98 were identified as the most salinity-tolerant genotypes. These genotypes can be utilized for salt-affected areas and also as donor parents in wheat breeding programs for further improvement of germplasm for salinity tolerance. Also, the results of factor analysis in saline stress condition indicated a positive relationship between biological yield, harvest index and chlorophyll content with seed yield. Generally, it can be concluded that chlorophyll content trait due to the low cost and easy and non-destructive measurement than other traits could be used as a suitable criterion in selecting for increased seed yield in saline stress conditions in field.
Type of Study: Research |
Subject:
Special
Received: 2017/04/18 | Revised: 2018/09/26 | Accepted: 2017/07/1 | Published: 2018/09/26
Received: 2017/04/18 | Revised: 2018/09/26 | Accepted: 2017/07/1 | Published: 2018/09/26
References
1. Araus, J., T. Amaro, J. Voltas, H. Nakkoul and M. Nachit. 1998. Chlorophyll fluorescence as a selection criterion for grain yield in durum wheat under Mediterranean conditions. Field Crop Research, 55: 209-223. [DOI:10.1016/S0378-4290(97)00079-8]
2. Blum, A. 1988. Plant Breeding for Stress environments. CRC Press Florida, 212 pp.
3. Boggs, J.L., T. Tsegaye, T.L. Coleman, K. Reddy and A. Fahsi. 2003. Relationship between hyperspectral reflectance, soil nitrate-nitrogen, cotton leaf chlorophyll, and cotton yield: a step toward precision agriculture. Journal of Sustainable Agriculture, 22: 5-16. [DOI:10.1300/J064v22n03_03]
4. Bronson, K.F., T.T. Chua, J. Booker, J.W. Keeling and R.J. Lascano. 2003. In-season nitrogen status sensing in irrigated cotton. Soil Science Society of America Journal, 67: 1439-1448. [DOI:10.2136/sssaj2003.1439]
5. Cha, K.W., Y.J. Lee, H.J. Koh, B.M. Lee, Y.W. Nam and N.C. Paek. 2002. Isolation, characterization, and mapping of the stay green mutant in rice. Theoretical and Applied Genetics, 104: 526-532. [DOI:10.1007/s001220100750]
6. Colmer, T.D., T.J. Flowers and R. Munns. 2006. Use of wild relatives to improve salt tolerance in wheat. Journal of Experimental Botany, 57: 1059-1078. [DOI:10.1093/jxb/erj124]
7. El-Hendawy, S.E., Y. Hu, G.M. Yakout, A.M. Awad, S.E. Hafiz and U. Schmidhalter. 2005. Evaluating salt tolerance of wheat genotypes using multiple parameters. European Journal of Agronomy, 22: 243-253. [DOI:10.1016/j.eja.2004.03.002]
8. Hazegh-Jafari, P., S. Aharizad, S.A. Mohammadi, F. Noormand Moayyed and P. Behrooz. 2014. Grouping of alfalfa genotypes based on different characteristics using multivariate statistical analysis. Jornal of Crop Breeding, 13: 107-121 (In Persian).
9. Houshmand, S., A. Arzani, S.A.M. Maibody and M. Feizi. 2005. Evaluation of salt-tolerant genotypes of durum wheat derived from in vitro and field experiments. Field Crop Research, 91: 345-354. [DOI:10.1016/j.fcr.2004.08.004]
10. Irvani, M., M. Soluki, A.M. Rezai, B. Syasar and S.H.A. Kuhkan. 2008. Investigating the diversity and relationship between agronomical traits and seed yield in barley advanced lines using factor analysis. Journal of Science and Technology of Agriculture and Natural Resourses, 45: 137-145 (In Persian).
11. Jaynes, D., T. Kaspar, T. Colvin and D. James. 2003. Cluster analysis of spatiotemporal corn yield patterns in an Iowa field. Agronmy Journal, 95: 574-586. [DOI:10.2134/agronj2003.5740]
12. Kabanova, S. and M. Chaika. 2001. Correlation analysis of triticale morphology, chlorophyll content and productivity. Journal of Agronomy and Crop Science, 186: 281-285. [DOI:10.1046/j.1439-037x.2001.00481.x]
13. Keshavarznia, R., B. Mohammadi Nargesi and A.R. Abassi. 2013. Study of genetic diversity of common bean based on morphological traits under both normal and drought stress conditions. Iranian Journal of Field Crop Science, 44: 305-315 (In Persian).
14. Leilah, A. and S. Al-Khateeb. 2005. Statistical analysis of wheat yield under drought conditions. Journal of Arid Environments, 61: 483-496. [DOI:10.1016/j.jaridenv.2004.10.011]
15. Loos, B. 1993. Morphological variation in Lolium (Poaceae) as a measure of species relationships. Plant Systematics and Evolution, 188: 87-99. [DOI:10.1007/BF00937838]
16. Martin, P., M. Ambrose and R. Koebner. 1994. A wheat germplasm survey uncovers salt tolerance in genotypes not exposed to salt stress in the course of their selection. Annals of Applied Biology, 39: 215-222.
17. Mohammad Alipour H. Yamchi, M.R. Bihamta, S.A. Peighambari, M. Naghavi and M. Shafiee Khorshidi. 2011. Evaluation of genetic diversity and classification of kabuli chickpea genotypes in late season drought stress. Journal of Crop Breeding, 7: 53-70 (In Persian).
18. Mohan, M., S.L. Narayanan and S. Ibrahim. 2000. Chlorophyll stability index (CSI): its impact on salt tolerance in rice. International Rice Research Notes, 25: 38-39.
19. Moreda-Pineiro, A., A. Fisher and S.J. Hill. 2003. The classification of tea according to region of origin using pattern recognition techniques and trace metal data. Journal of Food Composition and Analysis, 16: 195-211. [DOI:10.1016/S0889-1575(02)00163-1]
20. Munns, R. 2002. Comparative physiology of salt and water stress. Plant, Cell & Environment, 25: 239-250. [DOI:10.1046/j.0016-8025.2001.00808.x]
21. Munns, R. and R.A. James. 2003. Screening methods for salinity tolerance: a case study with tetraploid wheat. Plant and Soil, 253: 201-218. [DOI:10.1023/A:1024553303144]
22. Munns, R., R.A. James and A. Läuchli. 2006. Approaches to increasing the salt tolerance of wheat and other cereals. Journal of Experimental Botany, 57: 1025-1043. [DOI:10.1093/jxb/erj100]
23. Passarkli, M. 2010. Handbook of plant and crop stress. (3rd edition). CRC press, 1245 pp.
24. Poustini, K. and A. Siosemardeh. 2004. Ion distribution in wheat cultivars in response to salinity stress. Field Crop Research, 85: 125-133. [DOI:10.1016/S0378-4290(03)00157-6]
25. Rabii, B. and M. Rahimi. 2009. Evaluation methods of canola genotypes grouped using the fisher linear detection function. Journal of Science and Technology of Agriculture and Natural Resourses, 47: 529-542 (In Persian).
26. Ramesh, K., B. Chandrasekaran, T. Balasubramanian, U. Bangarusamy, R. Sivasamy and N. Sankaran. 2002. Chlorophyll dynamics in rice (Oryza sativa L.) before and after flowering based on SPAD (chlorophyll) meter monitoring and its relation with grain yield. Journal of Agronomy and Crop Science, 188: 102-105. [DOI:10.1046/j.1439-037X.2002.00532.x]
27. Reynolds, M., A. Mujeeb‐Kazi and M. Sawkins. 2005. Prospects for utilising plant‐adaptive mechanisms to improve wheat and other crops in drought‐and salinity‐prone environments. Annals of Applied Biology, 146: 239-259. [DOI:10.1111/j.1744-7348.2005.040058.x]
28. Saburi, H., M. Nahvi, A. Torabi and M. Kanoni. 2008. Classification of rice varieties at different levels from the osmotic potential of sorbitol based on cluster analysis and fisher linear functions. Iranian Congress of Agronomy and Plant Breeding, 28-30 August, Karaj, Iran, Crop Science Society, 7: 327-340.
29. Safari, P., R. Honarnejad and M. Esfahani. 2008. Assessment of genetic variation in peanuts (Arachis hypogaea L.) cultivars using Canonical Discriminant Analysis. Iranian Journal of Agriculture Research, 6: 327-334 (In Persian).
30. Salama, S., S. Trivedi, M. Busheva, A. Arafa, G. Garab and L. Erdei. 1994. Effects of NaCl salinity on growth, cation accumulation, chloroplast structure and function in wheat cultivars differing in salt tolerance. Journal of Plant Physiology, 144: 241-247. [DOI:10.1016/S0176-1617(11)80550-X]
31. Salehi, M. and M. Shekari. 2006. Factor analysis of some drought traits in lentil. In: proceeding of the Science and Crop Breeding Congress Abstracts. 286 pp (In Persian).
32. SAS Institute Inc. 2011. SAS/STAT user's guide. 2nd edition. SAS institute Inc., Cary, NC, USA, 5142 pp.
33. Schonfeld, M.A., R.C. Johnson, B.F. Carver and D.W. Mornhinweg. 1988. Water relations in winter wheat as drought resistance indicators. Crop Science, 28: 526-531. [DOI:10.2135/cropsci1988.0011183X002800030021x]
34. Shafiee-Khorshidi, M., M.R. Bihamta, F. Khialparast and M.R. Naghavi. 2012. Assessment of genetic variation in common bean (Phaseolus vulgaris L.) genotypes under drought condition using cluster and canonical discriminant analysis (CDA). Journal of Crop Breeding, 10: 1-17 (In Persian).
35. Singh, S. and T. Singh. 2001. Correlation and path analysis in common wheat (Triticum aestivum L.) under light texture soil. Resarch on Crops, 2: 99-101.
36. SPSS, I. 2010. SPSS 19. Users Guied. Chicago, IL., USA.
37. Yeater, K. M., G.A. Bollero, D.G. Bullock, A.L. Rayburn and S. Rodriguez-Zas. 2004. Assessment of genetic variation in hairy vetch using canonical discriminant analysis. Crop Science, 44: 185-189. [DOI:10.2135/cropsci2004.0185]
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