Journal of
Computational Biology and Bioinformatics Research

  • Abbreviation: J. Comput. Biol. Bioinform. Res
  • Language: English
  • ISSN: 2141-2227
  • DOI: 10.5897/JCBBR
  • Start Year: 2009
  • Published Articles: 41

Full Length Research Paper

Multivariate analysis of groundnut (Arachis hypogaea L.) cultivars based on oil traits

Zekeria Yusuf
  • Zekeria Yusuf
  • Department of Biology, Haramaya University, Dire Dawa, Ethiopia.
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Habtamu Zeleke
  • Habtamu Zeleke
  • Department of Biology, Haramaya University, Dire Dawa, Ethiopia.
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Wassu Mohammed
  • Wassu Mohammed
  • Department of Biology, Haramaya University, Dire Dawa, Ethiopia.
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Shimelis Hussein
  • Shimelis Hussein
  • Department of Crop Science, University of Kwazulu-Natal, Durban, Republic of South Africa.
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Arno Hugo
  • Arno Hugo
  • Department of Food Science, University of Free State, Bloemfontein, Republic of South Africa.
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  •  Received: 06 June 2019
  •  Accepted: 02 August 2019
  •  Published: 29 February 2020

How to cite this article

APA /
Yusuf, Z., Zeleke, H., Mohammed, W., Hussein, S., & Hugo, A. (2020). Multivariate analysis of groundnut (Arachis hypogaea L.) cultivars based on oil traits. Journal of Computational Biology and Bioinformatics Research, 10(1), 1-7.
Chicago /
Zekeria Yusuf, Habtamu Zeleke, Wassu Mohammed, Shimelis Hussein and Arno Hugo. "Multivariate analysis of groundnut (Arachis hypogaea L.) cultivars based on oil traits." Journal of Computational Biology and Bioinformatics Research 10, no. 1 (2020): 1-7.
MLA /
Zekeria Yusuf, et al. "Multivariate analysis of groundnut (Arachis hypogaea L.) cultivars based on oil traits." Journal of Computational Biology and Bioinformatics Research 10.1 (2020): 1-7.
DOI /
https://doi.org/10.5897/JCBBR2019.0124
URL /
https://academicjournals.org/journal/JCBBR/article-abstract/E13343562972

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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