Volume 15, Issue 46 (7-2023)                   J Crop Breed 2023, 15(46): 22-26 | Back to browse issues page


XML Persian Abstract Print


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

Kiani G. (2023). Path Analysis of Quantitative Characters and Clustering of Eggplant Lines in F4 Generation. J Crop Breed. 15(46), 22-26. doi:10.61186/jcb.15.46.22
URL: http://jcb.sanru.ac.ir/article-1-1379-en.html
Department of Plant Breeding, Sari Agricultural Sciences and Natural Resources
Abstract:   (1563 Views)
Extended Abstract
Introduction and Objective: Despite the importance of the eggplant, few breeding studies have been conducted in relation to this plant in Iran. Therefore, it requires more studies, especially in relation to the study of new lines and native genotypes of the country. The aim of this study was to character association and identification of direct and indirect effects of quantitative traits on yield in 40 eggplant lines at F4 segregating population.
Material and Methods: This experiment was performed in the research farm of Sari University of Agricultural Sciences and Natural Resources in the 2021 cropping season. In this study, 40 breeding lines in F 4 generation along with their parents were used. Traits studied in this study included plant height (centimeter), number of fruits per plant, fruit length (centimeter), fruit weight (gram), fruit diameter (millimeter) and fruit yield (gram / plant). In order to analyze the data, descriptive statistics, correlation, path analysis and cluster analysis were used. 
Results: The results of correlation showed that fruit yield had positive and significant relationship with fruit weight. Results obtained from path analysis indicated that fruit weight and after that fruit number in plant had greatest direct effect on fruit yield in eggplant. The greatest indirect effect of fruit weight is through the diameter of the fruit. These traits could be used as selection index for yield improvement in eggplant breeding programs. According to cluster analysis studied lines were grouped in three different clusters based on studied traits. 
Conclusions: Cluster analysis showed the existence of favorable diversity between the studied genotypes and grouped the studied lines in three different groups. Fruit weight and fruit number had greatest direct effect on fruit yield in eggplant. These traits could be used as selection criteria for yield improvement in segregating population of eggplant.
Full-Text [PDF 671 kb]   (667 Downloads)    
Type of Study: Research | Subject: General
Received: 2022/05/15 | Accepted: 2022/10/18

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Journal of Crop Breeding

Designed & Developed by: Yektaweb