[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 3, Issue 1 (2016) ::
pgr 2016, 3(1): 29-44 Back to browse issues page
Estimation of Genetic Correlation, Heritability and Grouping of Barley Doubled Haploid Lines Based on Indicators Related to Germination Under Salt Stress
Mohammad Ali Ebrahimi *, Rahim Mohammadian, Marouf Khalili
Abstract:   (15723 Views)
Estimation of genetic variation in crops, a very important role in the development of breeding programs and preservation of genetic resources through morphological characteristics, is possible. To identifying genetic variation and double haploid barley lines classification in relation to germination traits, 72 lines derived from the cross of Steptoe and Morex were evaluated in randomized complete block design (RCBD) with two replications, at three conditions including normal and two salinity levels of NaCl (100 and 200 mM NaCl). Investigated traits in this study were coefficient of velocity of germination, final germination percentage, mean germination daily, germination rate index and average germination speed. The results indicated that considerable genetic variation among genotypes in all traits. Genetical correlation based on average of the three environments indicated that high significant correlation exist (r= 0.85**) between the daily germination and final germination percentage. In this study, the highest value of phenotypic and genotypic variation coefficient, broad and narrow sense heritability and genetic gain were calculated for final germination percentag. Based on cluster analysis, barley genotypes were grouped into three categories and genotypes of the third cluster, were superior coefficient of variation of germination, germination percentage, germination rate and mean daily germination index, but had low a mount of germination rate. Therefore, the genotype of this group can be used in breeding for high germination percentage. Using principle component analysis; five traits were grouped in the form of two new variables that explained 99.061 percent of the total variance. Analysis biplot indicated that the genotypes of first group have a high percentage of germination index and germination index coefficients.
Keywords: Biplot analysis, Cluster analysis, Barley, Germination, Genetic correlation
Full-Text [PDF 642 kb]   (1962 Downloads)    
Type of Study: Research | Subject: Plant improvement
Received: 2017/05/10 | Accepted: 2017/05/10
References
1. Aghaee Sarbarze, M. and Amini, A. (2011). Genetic variability for agronomy traits in bread wheat genotype collection of Iran. Seed and Plant Improvement Journal, 27(1): 581-599 (In Persian).
2. Agrama, H.A.S. and Moussa. M.E. (1996). Mapping QTLs in breeding for drought tolerance in maize (Zea mays L.). Euphytica, 91: 89-97.
3. Ajmal, S.U., Minhas, N.M., Hamdani, A., Shakir, A., Zubair, M. and Ahmad. Z. (2013). Multivariate analysis of genetic divergence in wheat (Triticume aestivum) germplasm. PakestanJournal Botane. 45: 1643-1648.
4. Al-mudaris, M.A. (1998). Notes on various parameters recording the speed of seed germination. DerTropenlandwirt, 99:147-154.
5. Ashrafi Parchin, R. (2011). Evaluation of genetic diversity of wheat (Triticum aestivum) genotypesusing agronomic and morphological characters and molecular markers. M.Sc. Thesis, University of Razi, Kermanshah, Iran (In Persian).
6. Bernestin, L. (1974). Crop growth and salinity. USDA, California, USA.Blum, A. (1988). Plant breeding for stress environments. CRC Press, Florida, USA.
7. Chalish, L. and Houshmand, S. (2011). Estimate of Heritability and Relationship of Some Durum Wheat Characters Using Recombinant Inbred lines. European Journal of Clinical Pharmacology, 4(2): 223-238.Cooper, J.C.B. (1983). Factor analysis: an overview. American Statistician, 37: 141-147.
8. De, F and Kar. R.K. (1994). Seed germination and seeding growth of mungbeen under water stressinduced by PEG 6000. Seed Science and Technology, 23: 301-304.
9. Ehdaie, B. and Waines, J.G. (1989).Genetic variation, heritability and path analysis in land races ofbread wheat from South Western Iran. Euphytica, 41: 183-190.
10. Fakheri, B. and Mehravaran, L. (2013). Locating QTLs controlling agronomic traits of “Steptoe×Morex” derived double haploid population of barley under drought stress conditions. Iranian Journal of Field Crop Science, 44(1): 47-57 (In Persian).
11. Farahani, E. and Arzani, A. (2009). Evaluation of genetic variation of durum wheat genotypes usingmultivariate analyses. Electronic Journal of Crop Production, 1(4): 51-64. (In Persian).Farhoudi, R. (2013). Investigation the salinity tension effect on growth and physiological characteristics of nine wheat cultivars at vegetative growth stage. Crop Physiology, 5(20): 71-86.
12. Gepts, P. (2006). Plant genetic resources conservation and utilization. Crop Science, 46: 2278-2292.Greenway, H. and Munns. R. (1980). Mechanisms of salt tolerance in nonhalophytes. AnnualReview of Plant Physiology, 31(1): 149-190.
13. Hall, A.E. (2001). Crop Responses to Environment. CRC Press, Boca Raton, Florida, USA.
14. Han, F., Ullricha, S.E., Romagosab, I. and Clancya, J.A. (1999). Inheritance and fine mapping of a major barley seed dormancy QTL. Plant Science, 143: 113-118.
15. Hayes, P.M., Liu, B.H., Knapp, S.J., Chen, F., Jones, B., Blake, T., Franckowiak, A.,Rasmmusson, D., Sorrells, M., Ullrich, S.E., Wesenberg D. and Kleinhofs. A. (1993).Quantitatives trait locus effects and environmental interaction in a sample of North American barely germplasm. Theoretical and Applied Genetics, 87: 392-401.
16. Hotteling, H. (1963). Analysis of a complex of statistical variables into principle components. Journal.of Educational Physiology, 24: 417-498.
17. Houshmand, S., Arzani, A., Maibody, M. and Feizi. M. (2005). Evaluation of salt tolerant genotypes of durum wheat derived from in vitro and field experiments. Field Crops Research. 91345-354.
18. Johnson, R. and Wichern. D. (2007). Applied multivariate statistical analysis (6thEdition). Pearson Prentice Hall press New Jersey, USA.
19. Kafi, M., Salehi, M. and Eshghizadeh H.R. (2010). Biosaline Agriculture, Plant, Water and Soil Management Approaches. Ferdowsi University of Mashhad Publication, Mashhad, Iran (In Persian).
20. Matus, I.A. and Hayes. P.M. (2002). Genetic diversity in three groups of barley germplasm assessed by simple sequence repeats. Genome, 45: 1095-1106.
21. Miller, P.A., Williams, J.C., Robinson, J. H.F. and Comstock, R.E. (1957). Estimates of genotypic and environmental variances and covariances in upland cotton and their implication in selection. Agronomy Journal, 29:126-131.
22. Mohammadi, S.A. and Prasanna. B.M. (2003). Analysis of genetic diversity in crop plants- Salient statistical tools and considerations. Crop Science, 43: 1235-1248.
23. Morphy, D.P.L., Cox T.S. and Rodgers, D.M. (1992). A multivariate approach to the analysis of cereal crops structure at harvest. European Society for Agronomy, 23: 194-195.
24. Munns, R., James, R.A. and Lauchli, A. (2006). Approaches to increasing the salt tolerance of wheat and other cereals. Journal of Experimental Botany, 57: 1025-1043.
25. Naghavi, M., Poorshahbazi, S.H. and Taleie. A. (2003). Variation among stocks ofdurum wheat for Agronomic and morphological characteristics. Iranian Journal of Crop Sciences, 4(2): 81-88 (In Persian).
26. Romesburg, H.C. (1984). Cluster analysis for researchers. Tigetime learning publication, Belmont, California, USA.
27. Salami R., Mohammadi, S.A., Ghafarian, S. and Moghaddam, M. (2016). Expression analysis of Hv TIP2; 3 and Hv TIP4; 1 in sensitive and tolerant barley genotypes under salinity stress. Journal of Plant Genetic Research, 2(2): 1-14 (In Persian).
28. Sarmadnia, G.H., and Koocheki, A. (1989). Physiological aspects of arid cultivation. FerdowsiMashhad University Publication, Mashhad, Iran (In Persian).
29. Shoushi Dezfuli, A.A., Mohammadi Dehcheshmeh, S.H., Rafiei Boroujeni, F. and Shiran, B. (2016). Evaluation of Salinity Tolerance of Alfalfa genotypes during germination stage using multivariate analysis. Journal of Applied Environmental and Biological Sciences, 6(3): 51-56.
30. Tuteja, N. (2007). Chapter twenty-four-mechanisms of high salinity tolerance in plants. Methods in Enzymology, 428: 419-438.
Add your comments about this article
Your username or Email:

CAPTCHA



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ebrahimi M A, Mohammadian R, Khalili M. Estimation of Genetic Correlation, Heritability and Grouping of Barley Doubled Haploid Lines Based on Indicators Related to Germination Under Salt Stress. pgr. 2016; 3 (1) :29-44
URL: http://pgr.lu.ac.ir/article-1-87-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 3, Issue 1 (2016) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.14 seconds with 30 queries by YEKTAWEB 4419