2016 Volume 3 Issue 3

Culling or Replacement of dairy cows in herds based on the expected future values


Reza Seyedsharifi, Jamal Seifdavati, Bahram Fathi Achachlouei
Abstract

The basis for deciding to replace a dairy cow that produces several lactation periods in cattle, with a heifer that has recently experienced its first calving, is the comparison of the present values of these two cases. In order to estimate the expected statistics under the optimized policy, Markov chain simulation as a dynamic programming was used. The objective function was to maximize the present net value of cows in a planning horizon with 10 lactation periods. It was observed that with increasing the calving interval, the future value is less produced from the ideal condition that originates from increasing the probability of involuntary culling that intensifies with age. Meanwhile, according to the results, with cow growth, its future value decreases. Therefore, it can be said that future value changes with age, production level, and lactation period.

 

Keywords: present value, future value, replacement and culling, dynamic programming, dairy cow


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Entomology and Applied Science Letters is an international peer reviewed publication which publishes scientific research & review articles related to insects that contain information of interest to a wider audience, e.g. papers bearing on the theoretical, genetic, agricultural, medical and biodiversity issues. Emphasis is also placed on the selection of comprehensive, revisionary or integrated systematics studies of broader biological or zoogeographical relevance. Papers on non-insect groups are no longer accepted. In addition to full-length research articles and reviews, the journal publishes interpretive articles in a Forum section, Short Communications, and Letters to the Editor. The journal publishes reports on all phases of medical entomology and medical acarology, including the systematics and biology of insects, acarines, and other arthropods of public health and veterinary significance.
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