Abstract

This paper reviews some key elements of Finnish animal breeding research contributing to the Finnish dairy cattle breeding programme and discusses the possibilities and problems in collecting data for genetic evaluation, prediction of breeding values both within and across countries, estimation of the economic value of important traits, and selection of bulls and cows. Economic values are calculated for fertility, udder health and production traits when one genetic standard deviation unit (gen. sd.) is changed in each trait independently and the financial returns from selection response in the Finnish dairy cattle breeding programme are estimated. The following components were used to calculate the economic value of mastitis treatments: 1) cost of mastitis including discarded milk and treatment costs, 2) reduction in milk price due to higher somatic cell count, 3) replacement costs and 4) lower production level of the herd due to involuntary culling of cows because of udder problems. A high somatic cell count lowers the price of milk and eventually leads to involuntary culling. For treatments for fertility disorders the following costs were included: 1) treatment costs 2) higher replacement costs and 3) decreased milk production in the herd. Days open included the following costs: 1) extra insemination, 2) reduced annual milk yield and 3) fewer calves born. Animal breeding was found to be a very cost effective investment, yielding returns of FIM 876.9 per cow from one round of selection when the gene flow was followed for over 25 years in the Finnish dairy cattle breeding programme.

Highlights

  • Animal breeding was found to be a very cost effective investment, yielding returns of FIM 876.9 per cow from one round of selection when the gene flow was followed for over 25 years in the Finnish dairy cattle breeding programme

  • We here review the key results of Finnish animal breeding research that have contributed to Finlands dairy cattle breeding programme and discuss the possibilities and problems in collecting data for genetic evaluation, prediction of breeding values both within and across countries, and selection of parental animals

  • Increased computing power permits the use of complicated multiple trait models including direct and maternal effects in dairy cow evaluation.The method requires the estimation of reliable genetic parameters, which is a challenging task

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Summary

Jarmo Juga and Ulla Voutilainen

This paper reviews some key elements of Finnish animal breeding research contributing to the Finnish dairy cattle breeding programme and discusses the possibilities and problems in collecting data for genetic evaluation, prediction of breeding values both within and across countries, estimation of the economic value of important traits, and selection of bulls and cows. The following components were used to calculate the economic value of mastitis treatments: 1) cost of mastitis including discarded milk and treatment costs, 2) reduction in milk price due to higher somatic cell count, 3) replacement costs and 4) lower production level of the herd due to involuntary culling of cows because of udder problems. We here review the key results of Finnish animal breeding research that have contributed to Finlands dairy cattle breeding programme and discuss the possibilities and problems in collecting data for genetic evaluation, prediction of breeding values both within and across countries, and selection of parental animals. We estimate the economic value of traits affecting the profitability of dairy production and attempt to estimate the financial returns yielded by one round of selection of bulls and cows

Recording performance
Prediction of breeding values
Properties of the animal model predictors
International genetic evaluation
Defining the breeding goal
Genetic response in a large dairy cattle breeding scheme
Days open
Cow dams Total genetic Financial response returns FIM
Concluding remarks
Findings
Jarmo Juga ja Ulla Voutilainen
Full Text
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