Aligning farm decision making and genetic information systems to improve animal production: methodology and findings from the Australian dairy industry

Abstract

To date there has been little research into the way genetic improvement decisions are made in practice on Australian farms. This type of knowledge is important for guiding the design of programs to increase the use of genetic information and thereby the rate of genetic gain in animal production systems. This paper describes an approach to understanding farm decision making in order to improve the design of services to increase the use of genetic information in the Australian dairy industry. A mixed-method approach involving a national survey and regional focus groups was used to determine farmers’ perceptions of the genetic information system overall and the key features of bull selection decisions and information sources. The current genetic information system was found to have a strong reputation for ease of access, use and fit with the way farmers evaluated bulls. In the focus groups the farmers described their decision process as having an ‘ideal cow’ in mind that fitted their farming system (e.g. balancing survival, milk volume, milk components, mammary features, fertility, milking speed, etc.). Bull proofs were then screened to identify a batch of eligible bulls that were further screened for their specific situation. Focus groups of advisers generally concurred with the process described by farmers. Further, farmers tended to rely on one or two main information sources in making decisions. To address the issue of greater alignment between farmer decision making and use of genetic information through industry organisations requires a coordinated strategy and a comprehensive development program. Suggestions for activities to this end are outlined.