Grouping of rice (Oryza sativa L. ) lines based on multivariate analysis under drought stress condition

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.

DANESH GILEVAEI M.; SAMIZADEH H.; RABIEI B.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Field Crop Science Year:2018 | Volume:48 | Issue:4 Page(s): 1027-1039

Download Full-Text

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

Persian Verion

View:

469

Download:

Cites:

Information Journal Paper

Title

Grouping of rice (Oryza sativa L. ) lines based on multivariate analysis under drought stress condition

Author(s)

DANESH GILEVAEI M. | SAMIZADEH H. | RABIEI B. | Issue Writer Certificate

Keywords

CorrelationQ2

Cluster analysisQ1

Factor analysisQ1

Ward’s Minimum VarianceQ1

Abstract

For evaluation and grouping of 150 inbred lines of rice based on some morphological and physiological traits, an experiment was conducted using Augment design based on randomized complete block design (RCBD) with four replications in Agricultural College of Guilan University, in 2013. Correlation coefficients between traits showed a significant Correlation between grain yield with almost all of traits. Factor analysis showed that four independent and main factors explained 94. 23 percent of total variance in all lines. The first factor with 51. 99 percent of variance was named as the yield components and fertility rate. The second factor with 25. 41 percent of variance was nominated as fertility rate, the yield and the yield components. The third factor with 11. 50 percent of variance was nominated as physiologic traits. The fourth factor with 5. 33 percent of variance was nominated as plant morphologic. Cluster analysis by ward method with a 92. 7 percent of original grouped cases correctly classified four distinct groups for studied lines. Finally, to select high-yielding lines and tolerate to drought stress in rice simultaneously selection can be carried out for traits such as number of total spikelet per panicle, number of filled grain per panicle; spikelet fertility, proline content, chlorophyll a, chlorophyll b, total chlorophyll and relative water content.

Cites

No record.

References

No record.

Cite

APA: Copy

DANESH GILEVAEI, M., SAMIZADEH, H., & RABIEI, B.. (2018). Grouping of rice (Oryza sativa L. ) lines based on multivariate analysis under drought stress condition. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 48(4 ), 1027-1039. SID. https://sid.ir/paper/153723/en

Vancouver: Copy

DANESH GILEVAEI M., SAMIZADEH H., RABIEI B.. Grouping of rice (Oryza sativa L. ) lines based on multivariate analysis under drought stress condition. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2018;48(4 ):1027-1039. Available from: https://sid.ir/paper/153723/en

IEEE: Copy

M. DANESH GILEVAEI, H. SAMIZADEH, and B. RABIEI, “Grouping of rice (Oryza sativa L. ) lines based on multivariate analysis under drought stress condition,” IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 48, no. 4 , pp. 1027–1039, 2018, [Online]. Available: https://sid.ir/paper/153723/en

Related Journal Papers