Estimation of some qualitative traits in dry seed pea (Pisum sativum) varieties compare to local wild variety in Sulaimani region
Key word: A comparative study, Pea varieties, Chemical components, Chemical elements, Correlation.
DOI:
https://doi.org/10.59658/jkas.v6i4.764Abstract
The present study was conducted in the Sulaimani region during 2019to estimate some chemical components of five peas varieties (American,Avola, pakland, Jeza and Local wild Sulaimani) according to a completely randomized design CRD, replicated three times. Means comparison was carried out using the least significant difference test (LSD) at 0.01 significant levels. The results of this study summarized as follow:
There were highly significant differences among varieties for all chemical components, exception of P%, which was only significant. The Jeza variety produced the highest percentage of fiber, oil, and moisture reached 4.27, 3.13, and 11.71% respectively, while the Pakland variety showed the highest percentage of K and Mg reached 1.22 and 0.15%, respectively. The highest value of most chemical components, including protein, ash, starch, total N, Ca, and P% produced by local wild Sul. variety reached 26.63, 6.83, 42.71, 4.27, 0.31 and 0.15%, respectively . The protein % correlated high significantly and positively with ash, starch and P% (r = 0.927, 0.958 and 0.789, p < 0.01) respectively, while it correlated high significantly and negatively with fiber% (r =- 0.813, p < 0.01), and also there are significant and negative correlation between protein and moisture (r = - 0.745, p < 0.01)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Copyright (c) 2024 is the Author's article. Published by the Journal of Kerbala for Agricultural Sciences under a CC BY 4.0 license
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 (CC BY 4.0) That permits use, distribution, and reproduction in any medium, provided the original work is properly cited. This license also allows the work to be used for commercial purposes.
Use by both non-commercial and commercial users
This content is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting use by both non-commercial and commercial users. Individual users may access, download, copy, display, and redistribute the articles to colleagues, as well as adapt, translate, and text- and data-mine the content, subject to the following conditions:
- The author's moral rights, including the right of attribution and the right to protect their work from derogatory treatment, are respected.
- Where content in the article is identified as belonging to a third party, users must ensure that any reuse complies with the copyright policies of the owner of that content.
- If the article content is reused for research or educational purposes, users should maintain a link to the appropriate bibliographic citation, including the DOI and a link to the published version on the journal's website.