Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L. ) populations using canonical discriminant analysis

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Eghlima Gh.; KHEIRY A.; Sanikhani M.; AHADIAN J.; AELAEI M.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MEDICINAL AND AROMATIC PLANTS Year:2019 | Volume:35 | Issue:4 (96) Page(s): 677-690

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

435

Download:

Cites:

Information Journal Paper

Title

Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L. ) populations using canonical discriminant analysis

Author(s)

Keywords

Licorice (Glycyrrhiza glabra L.)Q1

genetic variationQ2

canonical discriminant analysisQ1

cluster analysisQ2

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.

Cites

No record.

References

No record.

Cite

APA: Copy

Eghlima, Gh., KHEIRY, A., Sanikhani, M., AHADIAN, J., & AELAEI, M.. (2019). Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L. ) populations using canonical discriminant analysis. IRANIAN JOURNAL OF MEDICINAL AND AROMATIC PLANTS, 35(4 (96) ), 677-690. SID. https://sid.ir/paper/104658/en

Vancouver: Copy

Eghlima Gh., KHEIRY A., Sanikhani M., AHADIAN J., AELAEI M.. Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L. ) populations using canonical discriminant analysis. IRANIAN JOURNAL OF MEDICINAL AND AROMATIC PLANTS[Internet]. 2019;35(4 (96) ):677-690. Available from: https://sid.ir/paper/104658/en

IEEE: Copy

Gh. Eghlima, A. KHEIRY, M. Sanikhani, J. AHADIAN, and M. AELAEI, “Assessment of genetic variation and grouping of licorice (Glycyrrhiza glabra L. ) populations using canonical discriminant analysis,” IRANIAN JOURNAL OF MEDICINAL AND AROMATIC PLANTS, vol. 35, no. 4 (96) , pp. 677–690, 2019, [Online]. Available: https://sid.ir/paper/104658/en

Related Journal Papers