Body weight prediction using digital image analysis for slaughtered beef cattle


BOZKURT Y. , AKTAN S. , Ozkaya S.

JOURNAL OF APPLIED ANIMAL RESEARCH, cilt.32, ss.195-198, 2007 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 32 Konu: 2
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1080/09712119.2007.9706877
  • Dergi Adı: JOURNAL OF APPLIED ANIMAL RESEARCH
  • Sayfa Sayıları: ss.195-198

Özet

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 R-2 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.