An integrated framework for genetic improvement and artificial breeding of beef cattle: A case study in livestock industry of colombia

Abstract

Milk and meat production has slowed down and endangers food safety. To address this problem, this paper presents a framework to ensure the effectiveness of genetic improvement and cattle breeding programs in farms supported by the implementation of a Decision Support System (DSS). Here, the DSS is used to monitor and control critical process variables derived from some components of these programs, specifically in-vitro fertilization, embryo collection and artificial breeding. An application in three Colombian farms is shown to validate this approach. Through this intervention, the average calf weight gain increased by 46.58%.