Body weight prediction using digital image analysis for slaughtered beef cattle

BOZKURT Y., AKTAN S., ÖZKAYA S.

Journal of Applied Animal Research, vol.32, no.2, pp.195-198, 2007 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 32 Issue: 2
  • Publication Date: 2007
  • Doi Number: 10.1080/09712119.2007.9706877
  • Journal Name: Journal of Applied Animal Research
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.195-198
  • Keywords: Beef production, Body measurements, Body weight, Digital image analysis, Prediction
  • Isparta University of Applied Sciences Affiliated: Yes

Abstract

To predict body weight of beef cattle using traditional methods and digital image analysis system, 140 animals were used and prediction models were developed. The R2 values of prediction equations were 52.1, 63.6, 53.2, 47.1, 43.1 and 49.8% for body area, body length, wither height, hip height, hip width and chest depth, respectively. The regression equations which included only body area, body length or wither height showed that the prediction ability of digital image analysis system was better than the equations including other body traits. The results showed that the prediction ability of digital image analysis system was very promising to predict body weight. © GSP, India.