Smith, A. B. and Cullis, B. R. and Appels, R. and Campbell, A. W. and Cornish, G. B. and Martin, D. and Allen, H. M. (2001) The statistical analysis of quality traits in plant improvement programs with application to the mapping of milling yield in wheat. Australian Journal of Agricultural Research, 52 (12). pp. 1207-1219. ISSN 0004-9409
Abstract
It is well known that the response to selection for grain yield is improved with the use of appropriate
experimental designs and statistical analyses. The issues are more complex for quality traits since the data are
obtained from a 2-phase process in which samples are collected from the field then processed in the laboratory. This paper presents a method of analysis for quality trait data that allows for variation arising from both the field and laboratory phases. Initially, an analysis suitable for standard varietal selection is presented. This is extended to include molecular genetic marker information for the purpose of detecting quantitative trait loci. The technique is illustrated using two doubled haploid wheat (Triticum aestivum L.) populations in which the trait of interest is milling yield.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Sciences - No Department (Up to 30 Jun 2013) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Sciences - No Department (Up to 30 Jun 2013) |
| Date Deposited: | 30 Nov 2007 11:47 |
| Last Modified: | 18 Sep 2013 05:05 |
| Uncontrolled Keywords: | mixed model; statistical analyses; milling QTL; molecular genetic map; wheat; 2-phase experiment |
| Fields of Research (2008): | 06 Biological Sciences > 0604 Genetics > 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics) 01 Mathematical Sciences > 0104 Statistics > 010402 Biostatistics 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding) |
| Identification Number or DOI: | https://doi.org/10.1071/AR01058 |
| URI: | http://eprints.usq.edu.au/id/eprint/14212 |
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