Canadian Journal of Applied Sciences


ISSN: 1925-7430
Short Key Title: Can J App Sci
DOI: http://dx.doi.org/10.21065/19257430
Start Year: 2011

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.

Article Information

Identifiers and Pagination:
Year:2016
Volume:6
First Page:18
Last Page:21
Publisher Id:Can J App Sci (2016 ). 6. 18-21
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
Xianghui Qi (PhD)
Jiangsu University, Zhenjiang, China

Bibliography

Dr. Xianghui Qi is working as Professor in the School of Food & Biological Engineering, Jiangsu University, China. His research interests: Biosynthesis of high value-added chemicals by microbes and engineered strains; Discovery of novel genes, enzymes and new strains; Rational & Irrational design of microbial enzymes; Isolation, identification and evolution of microbes; Metabolic engineering & Pathway engineering of functional microbes, and biotransformation; Metabolic regulation based on the research of microbial omics; Application of high value-added products including functional sugar alcohols by biosynthesis and biotransformation based on microbial engineered strains.

Journal Highlights
Abbreviation: Can J Appl Sci
doi: http://dx.doi.org/10.21065/19257430
Frequency: Annual
Current Volume: 7 (2017)
Next scheduled volume: December, 2018  
Back volumes: 1-7
Starting year: 2011
Nature: Online
Submission: Online
Language: English

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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