Study of genetic diversity and association analysis of agronomic traits

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.

Shahabzadeh Zeinab; DARVISHZADEH REZA; MOHAMMADI REZA; JAFARI MORAD; Alipour Hadi

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

Journal Paper

Paper Information

Journal: Crop Biotechnology Year:2020 | Volume:9 | Issue:29 Page(s): 1-20

Download Full-Text

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

Persian Verion

View:

671

Download:

Cites:

Information Journal Paper

Title

Study of genetic diversity and association analysis of agronomic traits

Author(s)

Keywords

Forage cropsQ2

genetic diversityQ3

linkage disequilibrium mappingQ3

molecular markersQ2

Abstract

Tall fescue (Festuca arundinacea) from Poaceae family is an aloehexaploid (2n = 6x = 42) and cross pollinated plant that is used throughout the world as a forage plant. Most of economically important morphological traits have quantitative (polygenic) inheritance, and the expression of genes controlling these traits are widely influenced by the environment. So improving these traits with classical breeding methods is difficult and time consuming. In the last 40 years, the development of molecular markers technology and its integration with biometric methods has made possible identification of QTL and developing marker assisted selection. This research was aimed to study the genetic control and identification of genomic regions controlling agro-morphological traits in tall fescue germplasm using association analysis approach. In the molecular experiment, the genetic diversity of ninety tall fescue populations was assessed by 10 EST-SSR and 39 ISSR primers. In the phenotypic assessment, the phenotypic variability of ninety tall fescue populations for 10 agro-biological traits was assessed using randomized complete block design with three replications. Among studied agro-biological traits, the highest variation was observed for plant height and date to pollination. In principal component analysis based on agro-biological traits the studied tall fescue population subdivided into two main groups and four subgroups. In grouping population based on all studied molecular markers via UPGMA and Bayesian methods, the population divided into two main groups including grass and forage groups. The results showed that based on both morphological and molecular markers there are valuable genetic diversity among studied population. In association analysis with both GLM and MLM methods the highest number of markers was identified for data to pollination trait. In the GLM method, some common markers were identified for date to pollination and flowering date traits that could be used to study both traits simultaneously.

Cites

No record.

References

No record.

Cite

APA: Copy

Shahabzadeh, Zeinab, DARVISHZADEH, REZA, MOHAMMADI, REZA, JAFARI, MORAD, & Alipour, Hadi. (2020). Study of genetic diversity and association analysis of agronomic traits. JOURNAL OF CROP BIOTECHNOLOGY, 9(29 ), 1-20. SID. https://sid.ir/paper/364965/en

Vancouver: Copy

Shahabzadeh Zeinab, DARVISHZADEH REZA, MOHAMMADI REZA, JAFARI MORAD, Alipour Hadi. Study of genetic diversity and association analysis of agronomic traits. JOURNAL OF CROP BIOTECHNOLOGY[Internet]. 2020;9(29 ):1-20. Available from: https://sid.ir/paper/364965/en

IEEE: Copy

Zeinab Shahabzadeh, REZA DARVISHZADEH, REZA MOHAMMADI, MORAD JAFARI, and Hadi Alipour, “Study of genetic diversity and association analysis of agronomic traits,” JOURNAL OF CROP BIOTECHNOLOGY, vol. 9, no. 29 , pp. 1–20, 2020, [Online]. Available: https://sid.ir/paper/364965/en

Related Journal Papers