The statistical analysis of quality traits in plant improvement programs with application to the mapping of milling yield in wheat

Article

Smith, A. B., Cullis, B. R., Appels, R., Campbell, A. W., Cornish, G. B., 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. https://doi.org/10.1071/AR01058
Article Title

The statistical analysis of quality traits in plant improvement programs with application to the mapping of milling yield in wheat

ERA Journal ID5177
Article CategoryArticle
AuthorsSmith, A. B. (Author), Cullis, B. R. (Author), Appels, R. (Author), Campbell, A. W. (Author), Cornish, G. B. (Author), Martin, D. (Author) and Allen, H. M. (Author)
Journal TitleAustralian Journal of Agricultural Research
Journal Citation52 (12), pp. 1207-1219
Number of Pages13
Year2001
PublisherCSIRO Publishing
Place of PublicationAustralia
ISSN0004-9409
1444-9838
Digital Object Identifier (DOI)https://doi.org/10.1071/AR01058
Web Address (URL)https://www.publish.csiro.au/cp/AR01058
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.

Keywordsmixed model; statistical analyses; milling QTL; molecular genetic map; wheat; 2-phase experiment
ANZSRC Field of Research 2020310506. Gene mapping
490502. Biostatistics
300406. Crop and pasture improvement (incl. selection and breeding)
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Byline AffiliationsCharles Sturt University
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Centre for Rural and Environmental Biotechnology
Department of Primary Industries and Regions, South Australia
Department of Primary Industries, Queensland
Institution of OriginUniversity of Southern Queensland
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