Related Links
Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L.) populations using canonical discriminant analysis | ||
| تحقیقات گیاهان دارویی و معطر ایران | ||
| Article 12, Volume 35, Issue 4 - Serial Number 96, September and October 2019, Pages 677-690 PDF (482.54 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/ijmapr.2019.125045.2486 | ||
| Authors | ||
| Gh. Eghlima1; A. Kheiry* 2; M. Sanikhani2; Javad Hadian3; M. Aelaei2 | ||
| 1Ph.D. student of Physiology and Plant Breeding, Department of Horticulture, Faculty of Agriculture, Zanjan University, Zanjan, Iran | ||
| 2Department of Horticulture, Faculty of Agriculture, Zanjan University, Zanjan, Iran | ||
| 3Department of Agriculture, Institute of Medicinal Plants and Raw Materials, Shahid Beheshti University, Tehran, Iran | ||
| Abstract | ||
| Licorice (Glycyrrhiza glabra L.) is one of the oldest and most important medicinal plants in Fabaceae, used for curing many diseases since 4000 years ago. This study was conducted to evaluate the genetic diversity of 22 different licorice populations based on morphological and yield traits at the research field of the Faculty of Agriculture, Zanjan University, during 2016 to 2018. Morphological and yield traits including plant height and width, leaf length and width, number, length and width of leaflets, number of lateral branches, main stem diameter, aerial parts fresh and dry weight, root fresh and dry weight, root to aerial parts ratio and aerial parts and root yields (per m2) were measured. Canonical discriminant (CDA) and cluster (CA) analyses were used to group the populations. In CDA, the first two canonical variables were significant. The first canonical variable included plant height and width, main stem diameter, leaf length and the number of leaflets, and the second one included aerial parts fresh and dry weight, root fresh and dry weight, root and aerial parts yields. The second canonical variable had the greatest role in population separation and grouping. Canonical variables divided populations into four main groups and confirmed CA clustering results. In general, the results indicated the good potential of canonical discriminant analysis in evaluating the genetic diversity and identifying the index traits in licorice. | ||
| Keywords | ||
| Licorice (Glycyrrhiza glabra L.); genetic variation; canonical discriminant analysis; cluster analysis | ||
| References | ||
|
- Allison, L., Bollen, W. and Moodie, C., 1965. Total carbon: 1346-1366. In: Black, C.A., Evans, D.D., Ensminger, L.E., White, J.L. and Clark, F.E., (Eds.). Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties, Agronomy Monograph 9.2. American Society of Agronomy, Soil Science Society of America Madison, WI, 1572p. - Asl, M.N. and Hosseinzadeh, H., 2008. Review of pharmacological effects of Glycyrrhiza sp. and its bioactive compounds. Phytotherapy Research, 22: 709-724. - Azizi, H. and Abdollahi, B., 2013. Evaluation of genetic variation of Medicago sativa L. populations using canonical diagnosis analysis. Applied Field Crops Research, 10: 183-189. - Bains, K.S. and Sood, K.C., 1984. Resolution of genetic divergence for choice of parents in soybean breeding. Journal of Crop Improvement, 11: 20-24. - Bremner, J.M., 1982. Nitrogen-total: 1149-1178. Black, C.A., Evans, D.D., Ensminger, L.E., White, J.L. and Clark, F.E., (Eds.). Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties, Agronomy Monograph 9.2. American Society of Agronomy, Soil Science Society of America Madison, WI, 1572p. - Chung, J., Chang, H., Lin, W., Wang, H. Yeh, C., Hung, C. and Li, Y., 2000. Inhibition of Nacetyltransferase activity and DNA-2- aminofluorene adducts by glycyrrhizic acid in human colon tumour cells. Food and Chemical Toxicology, 38: 163-172. - Fatima, A., Gupta, V., Lugman, S., Negi, A., Kumar, J. Shanker, K., Saikia, D., Srivastava, S., Darokar, M. and Khanuja, S., 2009. Antifungal activity of Glycyrrhiza glabra extracts and its active constituent glabridin. Phytotherapy Research, 23: 1190-1193. - Foundra, M.Z., Hernandez, M., Lopez, R., Fernandez, L., Sanchez, A., Lopez, J. and Ravelo, I., 2000. Analysis of the variability in collected peanut (Arachis hypogaea L.) cultivars for the establishment of core collection. Plant Genetic Resources Newsletter, 137: 1540-1544. - Gee, G. and Bauder, J., 1979. Particle size analysis by hydrometer: a simplified method for routine textural analysis and a sensitivity test of measurement parameters. Soil Science Society of America Journal, 43(5): 1004-1007. - Gibson, M.R., 1987. Glycyrrhiza in old and new perspectives. Lloydia, 41: 348-354. - Hong, Y.K., Wu, H.T., Ma, T., Liu, W.J. and He, X.J., 2009. Effects of Glycyrrhiza glabra polysaccharides on immune and antioxidant activities in high-fat mice. International Journal of Biological Macromolecules, 45: 61-64. - Humphreys, M.O., 1991. A genetic approach to the multivariate differentiation of perennial ryegrass (Lolium perenne L.) cultivars. Heredity, 66: 437-443. - Jaynes, D.B., Kaspar, T.C., Colvin, T.S. and James, D.E., 2003. Cluster analysis of spatiotemporal corn yield patterns in an Iowa field. Agronomy Journal, 95(3): 574-586. - Jobson, J.D., 1992. Applied Multivariate Data Analysis (Volume II): Categorical and Multivariate Methods. Springer-Verlag, New York, 615p. - Khattree, R. and Naik, D.N., 2000. Multivariate Data Reduction and Discrimination with SAS Software, SAS Institute Inc, Cary, NC, 584p. - Khym, J.X., 1974. Analytical Ion-Exchange Procedures in Chemistry and Biology: Theory, Equipment, Techniques. Prentice-Hall, NJ, 257p. - Loos, B.P., 1993. Morphological variation in Lolium (Poaceae) as a measure of species relationships. Plant Systematics and Evolution, 188: 87-99. - Makinde, S.C.O. and Ariyo, O.J., 2010. Multivariate analysis of genetic divergence in twentytwo genotypes of groundnut (Arachis hypogaea L). Plant Breeding Crop Science, 2: 192-204. - Mousa, N.A., Siaguru, E., Wiryowidagdo, S. and Wagih, M.E., 2007. Establishment of regenerative callus and cell suspension system of licorice (Glycyrrhiza glabra) for the production of the sweetener glycyrrhizin in vitro. Sugar Tech, 9: - Nelson, D. and Sommers, L.E., 1982. Total carbon, organic carbon, and organic matter. Methods of soil analysis. Part 2. Chemical and microbiological properties (methodsofsoilan 2). 539-579. - Nowakowska, Z., 2007. A review of anti-infective and anti-inflammatory chalcones. European Journal of -Medicinal Chemistry, 42: 125-137. - Rencher, A.C., 1992. Interpretation of canonical discriminant functions, canonical variates, and principal components. American Statistic, 46: 217-225. - Riggs, T.J., 1973. The use of canonical analysis for selection within a cultivar of spring barley. Annals of Applied Biology, 74(2): 249-258. - Saburi, H., Nahvi, M., Torabi, A. and Kanoni, M., 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, Karadj, Iran, 28-30 August, 7: 327-340. - Safari, P., Honarnezhad, R. and Esfehani, M., 2007. Evaluation of genetic diversity in groundnut cultivars using canonical discriminant analysis. Iran Agriculture Research, 6: 327-334. - Vaylay, R. and van Santen, E., 2002. Application of canonical discriminant analysis for the assessment of genetic variation in tall fescue. Crop Science, 42: 534-539. - Yeater, K.M., Bollero, G.A., Bullock, D.G., Rayburn, A.L. and Rodriguez-Zas, S., 2004. Assessment of genetic variation in hairy vetch using canonical discriminant analysis. Crop Science, 44: 185-189. - Zberjdi, A., Safari, M. and Chagamirza, K., 2017. Ex vitro production of transgenic composite plants in Glycyrrhiza glabra via Agrobacterium rhizogenes-mediated transformation as a new method. Journal of Medicinal Plants, 1(61): 102-109. | ||
|
Statistics Article View: 851 PDF Download: 551 |
||
Journal management system. designed by sinaweb