A heuristic method of searching for interesting markers in terms of quantitative traits |
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Authors: | Jan Bocianowski Marcin Kozak Alina Liersch Iwona Bartkowiak-Broda |
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Institution: | (1) Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland;(2) Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776 Warsaw, Poland;(3) Department of Oilseed Crops, Plant Breeding and Acclimatization Institute, National Research Institute, Strzeszyńska 36, 60-479 Poznań, Poland |
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Abstract: | Selection of parental lines is important in plant breeding programmes. Marker-assisted selection is an alternative to classical
selection methods, which are expensive and time consuming. Marker-assisted selection aims to find molecular markers that are
linked to genes that determine quantitative traits of interest. Classical statistical methods require particular assumptions
to be fulfilled, which is difficult to check if the analyses are performed automatically. In this article, we present a heuristic
method to find interesting markers for quantitative traits. This method includes various strategies that depend on what makes
a genotype interesting to a plant breeder. This approach was applied to eighteen parental lines of winter oilseed rape F1 CMS ogura hybrids with observation of 597 markers. The traits of interest were seed yield and alkenyl glucosinolate content. Fifty-seven
markers were selected for further study. The most prominent marker was OPY 02~1830. Marker-assisted selection is the first
step of analysis, which can then be followed up by a more formal statistical analysis for a smaller set of interesting markers. |
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