Association mapping in multiple segregating populations of sugar beet (<Emphasis Type="Italic">Beta vulgaris</Emphasis> L.) |
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Authors: | Benjamin Stich Albrecht E Melchinger Martin Heckenberger Jens Möhring Axel Schechert Hans-Peter Piepho |
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Institution: | Institute for Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593 Stuttgart, Germany. stich@uni-hohenheim.de |
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Abstract: | Association mapping in multiple segregating populations (AMMSP) combines high power to detect QTL in genome-wide approaches
of linkage mapping with high mapping resolution of association mapping. The main objectives of this study were to (1) examine
the applicability of AMMSP in a plant breeding context based on segregating populations of various size of sugar beet (Beta vulgaris L.), (2) compare different biometric approaches for AMMSP, and (3) detect markers with significant main effect across locations
for nine traits in sugar beet. We used 768 F
n
(n = 2, 3, 4) sugar beet genotypes which were randomly derived from 19 crosses among diploid elite sugar beet clones. For all
nine traits, the genotypic and genotype × location interaction variances were highly significant (P < 0.01). Using a one-step AMMSP approach, the total number of significant (P < 0.05) marker-phenotype associations was 44. The identification of genome regions associated with the traits under consideration
indicated that not only segregating populations derived from crosses of parental genotypes in a systematic manner could be
used for AMMSP but also populations routinely derived in plant breeding programs from multiple, related crosses. Furthermore,
our results suggest that data sets, whose size does not permit analysis by the one-step AMMSP approach, might be analyzed
using the two-step approach based on adjusted entry means for each location without losing too much power for detection of
marker-phenotype associations. |
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