Canadian Journal of Biomedical Sciences


ISSN: -
Short Key Title: Can J Biom Sci
DOI: http://dx.doi.org/10.21065/
Start Year: 2016

THE POSSIBILITY OF USING DATA MINING ALGORITHMS IN PREDICTION OF LIVE BODY WEIGHTS OF SMALL RUMINANTS
Ecevit EYDURAN
Igdir University, Agricultural Faculty, Department of Animal Science, Biometry Genetics Unit, Igdir-Turkey
Keywords: Data Mining Algorithm, Body Weight Prediction, CART, MARS, CHAID, ANN
Abstract

The main purpose of the sheep production is to improve profitability of yield traits such as meat, milk and wool obtained per animal. In this respect, selection is a remarkable tool for achieving genetic improvement and attaining better qualified offspring as to the quantitative traits. In obtaining of superior offspring according to a quantitative trait like live weight, the conservation of indigenous genetic sources and the detection of the breed standards, animal breeders take into account indirect selection criteria with the help of high genetic correlation coefficients between live weight and morphological traits. Moreover, the prediction of live body weight from some zoometrical (morphological) characteristics measured simply in farm animals is an important subject for developing prosperous animal breeding systems and in practice, regulating management conditions.

Article Information

Identifiers and Pagination:
Year:2016
Volume:1
First Page:1
Last Page:4
Publisher Id:Can J Biom Sci (2016 ). 1. 1-4
Article History:
Received:December 13, 2016
Accepted:December 23, 2016
Collection year:2016
First Published:December 28, 2016


© 2016 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits
Editor in Chief
Sundeep K. Vashist (PhD)
Vallo Med Health Care GmbH, Germany. E.: sandeep.vashist@yahoo.com, sandeep.vashist@vallomed.com

Bibliography

Dr. Sandeep K. Vashist is the Chief Scientific Officer at Vallo Med Healthcare GmbH, Germany. He was the Bioanalytical Scientist at Bristol-Myers Squibb Ireland (2006-2009), Team Leader for point-of-care (POC) diabetic monitoring at National University of Singapore (2009-2012) and Head of Immunodiagnostics at Hahn-Schickard, Freiburg, Germany (2012-2015). His research outputs include many successful technology transfers; several in vitro diagnostic (IVD) and POC technologies; more than 100 high impact factor journal publications and ~100 conference publications; numerous patents; book chapters; invited/keynote/plenary talks; and, several highly prestigious books for CRC Press, Springer Nature and Elsevier. He has constantly received highly prestigious fellowships and awards for scientific research excellence and innovation. He is the Editor for more than 12 highly reputed journals. Besides, he is the expert/reviewer/advisor for many international funding agencies, and a consultant for IVD, POCT and diabetic monitoring and management. His research interests include IVD, POC technologies, bioanalytical sciences, mobile healthcare, and nanotechnology.

Journal Highlights
Key title: Canadian Journal of Biomedical Sciences 
Abbreviation: Can J Biomed Sci
Frequency: Annual
Current Volume: 2 (2017)
Next scheduled volume: December, 2018 (Volume 3)
Back volumes: 1-2
Starting year: 2016
Nature: Online
Submission: Online
Language: English

Indexing

Subject & Scope
  • Biochemistry and Biotechnology
  • Bioinformatics and Biometric
  • Chemical Technology
  • Dentistry and Hygiene
  • Environmental Health, Safety and Allied Sciences
  • Food and Nutrition
  • Health Management
  • Medical Sciences
  • Molecular/ Cellular Biology
  • Pharmaceutical Sciences
  • Pharmacotherapy
  • Theoretical Models (health, life and clinical practice)
  • Veterinary, Fishery and Animal Biology

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