Utilization of boosted classification trees for the detection of cows with conception difficulties

DOI: 10.18805/ijar.B-1103    | Article Id: B-1103 | Page : 359-363
Citation :- Utilization of boosted classification trees for the detection of cows with conception difficulties.Indian Journal Of Animal Research.2021.(55):359-363
D. Zaborski, W. Grzesiak daniel.zaborski@zut.edu.pl
Address : Department of Ruminants Science, West Pomeranian University of Technology, Szczecin-71270, Poland.
Submitted Date : 1-02-2019
Accepted Date : 30-07-2019


The present study is planned to apply boosted classification trees for the detection of cows with potential conception problems. Nine hundred and eighteen artificial insemination records from Polish Holstein-Friesian Black-and-White cows were included. Each record consisted of nine predictor variables. The output variable was a conception difficulty class (good or poor). Sensitivity, specificity and accuracy on the test set were 82.93%, 84.46% and 83.91%, respectively. The most influential predictors of conception difficulty included calving interval, gestation length, body condition score, fat and protein content and age. Boosted classification trees could be applied as an on-farm decision support tool to identify cows with conception problems.


Artificial insemination Boosted trees Conception Dairy cows


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