African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12486

Full Length Research Paper

Predictions of semen production in ram using phenotypic traits by artificial neural network

Ali Ahmad Alaw Qotbi1*, Poorya Hossein Nia2, Alireza Seidavi1 and Shahrokh Ghovvati2
1Department of Animal Science, Islamic Azad University, Rasht Branch, Rasht, Iran. 2Department of Animal Science, Mashhad University of Ferdowsi, Mashhad, Iran.
Email: [email protected]

  •  Accepted: 21 June 2010
  •  Published: 31 July 2010

How to cite this article

APA /
Qotbi, A. A. A., Nia, P. H., Seidavi, A., & Ghovvati, S. (2010). Predictions of semen production in ram using phenotypic traits by artificial neural network. African Journal of Biotechnology , 9(30), 4822-4825.
Chicago /
Ali Ahmad Alaw Qotbi, Poorya Hossein Nia, Alireza Seidavi and Shahrokh Ghovvati. "Predictions of semen production in ram using phenotypic traits by artificial neural network." African Journal of Biotechnology 9, no. 30 (2010): 4822-4825.
MLA /
Ali Ahmad Alaw Qotbi, et al. "Predictions of semen production in ram using phenotypic traits by artificial neural network." African Journal of Biotechnology 9.30 (2010): 4822-4825.
DOI /
https://doi.org/10.5897/AJB10.346
URL /
https://academicjournals.org/journal/AJB/article-abstract/AB91DDB27197

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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