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https://hdl.handle.net/2440/61866
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Type: | Journal article |
Title: | A comparison of analysis methods for late-stage variety evaluation trials |
Author: | Welham, S. Gogel, B. Smith, A. Thompson, R. Cullis, B. |
Citation: | Australian and New Zealand Journal of Statistics, 2010; 52(2):125-149 |
Publisher: | Blackwell Publ Ltd |
Issue Date: | 2010 |
ISSN: | 1369-1473 1467-842X |
Statement of Responsibility: | Sue J. Welham, Beverley J. Gogel, Alison B. Smith, Robin Thompson and Brian R. Cullis |
Abstract: | <jats:title>Summary</jats:title><jats:p>The statistical analysis of late‐stage variety evaluation trials using a mixed model is described, with one‐ or two‐stage approaches to the analysis. Two sets of trials, from Australia and the UK, were used to provide realistic scenarios for a simulation study to evaluate the different methods of analysis. This study showed that a one‐stage approach gave the most accurate predictions of variety performance overall or within each environment, across a range of models, as measured by mean squared error of prediction or realized genetic gain. A weighted two‐stage approach performed adequately for variety predictions both overall and within environments, but a two‐stage unweighted approach performed poorly in both cases. A generalized heritability measure was developed to compare methods.</jats:p> |
Keywords: | best linear unbiased predictor heritability mixed models residual maximum likelihood variety evaluation trials. |
Rights: | © 2010 Australian Statistical Publishing Association Inc. Published by Blackwell Publishing Asia Pty Ltd. |
DOI: | 10.1111/j.1467-842X.2010.00570.x |
Published version: | http://dx.doi.org/10.1111/j.1467-842x.2010.00570.x |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest |
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