Body weight prediction using digital image analysis for slaughtered beef cattle

被引:13
|
作者
Bozkurt, Y. [1 ]
Aktan, S. [1 ]
Ozkaya, S. [1 ]
机构
[1] Suleyman Demirel Univ, Fac Agr, Dept Anim Sci, TR-32260 Isparta, Turkey
关键词
prediction; body weight; body measurements; digital image analysis; beef production;
D O I
10.1080/09712119.2007.9706877
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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.
引用
收藏
页码:195 / 198
页数:4
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