Estimation of some genetic parameters, correlation and path coefficient analysis for Faba bean varities under two plant densities.
DOI:
https://doi.org/10.59658/jkas.v5i2.211Keywords:
Vicia faba, plant densities , coheritability , GCV,PCVAbstract
The experiment was carried out during the season 2016-2017 in Al-Dora/Al-Buetha village, using Randomized Complete Block Design (RCBD)with three replications by factorial experiment arrangement . The experiment included two factors, the first: varieties (Turki, Ukrani, Spanish, Syrian, Duth, and local).The second factor: plant densities (47.62, 71.34 thousands plant.hectar-1). Genotypic, phenotypic variation, heritability, co-heritability, correlation coefficient and path analysis was estimated for each density for nine traits: plant height, numbet. of branches.plant-1, no. of leaves plant-1, total dry matter, number of pods.plant-1 , pods weight, number. of seeds.pod-1 , pod length and seed yield.plant-1.The results showed high significant different for all studied traits for both densities. There was a high genetic variation for no. of leaves.plant-1, plant height and total dry matter, that reached (249.91, 129.52, and 116.65)respectively in the first density and (327.58, 110,292.01) for second density. The higher value of heritability broad sense appeared in plant height, number of leaves and pod length in first density, for plant height, number of leaves and total dry matter in second density. The higher value of co-heritability appeared between no. of branches.plant-1 and number. of pods.plant-1 and between number of pods.plant-1 and pod weight that reached 1.825and 1.838 in first density .Co-heritability between number of branches plant-1, no. of pods.plant-1 and no. of seeds.pod-1 that reached 1.355 and 1.149 in second density. Genotypic correlation coefficient higher than phenotypic coefficient, this indicates that gene action leads the main role in these traits that plant breeder can rely on the selection genotypes of high production from the faba bean. The higher genetic, phenotypic correlations were for number of leaves and total dry matter with seed yield in first density, and pods weight, total dry matter with seed yield in second density. The path coefficient analysis results showed that the pod weight.plant-1 and pod length had a higher direct effect in first density and for total dry matter and no. of seeds.pod-1 in second density, and thus, these traits can be used as selection criteria under the studied densities for selection of high yield.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Journal of Kerbala for Agricultural Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licensing Terms
All articles are published under a Creative Commons License and will be directed to the Creative Commons Attribution 4.0 International License That permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Use by non-commercial users
For non-commercial and non-promotional purposes individual users may access, download, copy, display, and redistribute the articles to colleagues, as well as adapt, translate, text- and data-mine the content subject to the following conditions:
- The author's moral rights are not compromised. These rights include the right of "paternity" (also known as "attribution" - the right for the author to be identified as such) and "integrity" (the right for the author not to have the work altered in such a way that the author's reputation, or integrity may be impugned).
- Where content in the article is identified as belonging to a third party, it is the obligation of the user to ensure that any reuse complies with the copyright policies of the owner of that content.
- If article content is copied, downloaded, or otherwise reused for non-commercial research and education purposes, a link to the appropriate bibliographic citation (authors, journal, article title, volume, issue, page numbers, DOI, and the link to the definitive published version on JKAS website) should be maintained.
- Copyright notices and disclaimers must not be deleted.
- Any translations, for which a prior translation agreement with JKAS has not been agreed, must prominently display the statement: "This is an unofficial translation of an article that appeared in an FSP publication. The publisher has not endorsed this translation."
Use by commercial "for-profit" organizations
Use of JKAS Open Access articles for commercial, promotional, or marketing purposes requires further explicit permission from JKAS (journal.agri@uokerbala.edu.iq) and will be subject to a fee.
The commercial purposes include:
Copying or downloading of articles, or linking to such articles for further redistribution, sale, or licensing; Copying, downloading, or posting by a site or service that incorporates advertising with such content; The inclusion, or incorporation of article content in other works, or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee (for example, a compilation produced for marketing purposes, inclusion in a sales pack); Use of article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes; Linking to article content in e-mails redistributed for promotional, marketing or educational purposes; Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation such as marketing products; Print reprints of articles can be purchased from journal.agri@uokerbala.edu.iq.
Permissions
- No special permission is required to reuse all, or part of the article published by JKAS, including figures and tables for non-commercial purposes.
- Any part of the article may be reused, for non-commercial purposes, without permission provided that the original article is cited.
- Reuse of an article does not imply endorsement by the authors, JKAS
