Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.662878
Title: Statistical methods and applications to animal breeding
Author: Thompson, R.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1989
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Abstract:
This thesis comprises a collection of 39 research papers divided into three groups. The first group is entitled 'Statistical Methods, including variance component estimation with general application'. The second group report on 'Application of statistical methods to animal breeding studies'. The last group 'Experimental Studies' reports on studies on animal breeding data in beef and dairy cattle. The major theme of Group I is variance component estimation and the introduction of a method, now known as REML (Residual Maximum Likelihood) that unifies the area. The method was introduced for the analysis of incomplete block designs with unequal block size but was found to have important applications in the analysis of groups of trials, time-series, multivariate data and detecting outliers. The work on variance components has applications to animal breeding and is discussed in Group II. Papers discuss efficient designs for estimation of genetic parameters, including heritability, maternal and multivariate genetic parameters. These designs can lead to substantial reductions in the variances of the parameters over classical designs. It is shown that REML can be applied in certain circumstances when there is selection of animals. Links between variance estimation and best linear unbiased prediction are explored. Methods of prediction, estimation of genetic parameters and optimal designs are given for non-normal data. The last group includes reports on the comparison of breeds and cross-breeding in beef cattle in Zambia. Other studies include estimating the genetic relationship between beef can dairy characters in british Friesian cattle. The validity of models used in dairy sire evaluation are investigated including the heterogenity of heritability of milk yield at different levels of production and a novel method for taking account of environmental variation within herds.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (D.Sc.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.662878  DOI: Not available
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