Sannemann, Wiebke: Marker-trait-sensor association in a multi-parent advanced generation intercross (MAGIC) population in barley (Hordeum vulgare ssp. vulgare). - Bonn, 2013. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-34169
@phdthesis{handle:20.500.11811/5562,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-34169,
author = {{Wiebke Sannemann}},
title = {Marker-trait-sensor association in a multi-parent advanced generation intercross (MAGIC) population in barley (Hordeum vulgare ssp. vulgare)},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2013,
month = nov,

note = {The objective of the present study was to identify quantitative trait loci (QTL) for yield, yield components and water content in leaves as measured with the THz-sensor in a MAGIC population derived from eight different parents, the so called “founder of the German barley breeding”. The MAGIC double haploid (DH)-lines were genotyped with the Illumina 9K iSelect chip from TraitGenetics, Germany. Phenotypic values for 534 MAGIC DH-lines were scored in two consecutive years in an augmented designed pot experiment in a polytunnel under two different water conditions - well watered and terminal drought.
QTL detection was carried out in SAS 9.2 with multi-locus analysis and cross validation which included marker, line nested in the marker genotype, treatment and their interaction. Epistatic interactions were calculated using the same program, including marker*marker interaction among others. Two mapping approaches were conducted, using either binary SNP marker data (BA), or haplotype information (HA) from each parent gained with R/mpMap.
The QTL analysis of the DH-lines resulted in 108 putative QTL, 35 out of them mapped simultaneously with both approaches, four out of them with marker*treatment interaction allele effects. When the two approaches were compared, a greater power of allelic effect was detected with the HA. The best contributing parent could directly be assigned and multiple mean comparisons calculated. With this information, QTL QTkw.MAGIC.HA-2H.a could be identified as an improving QTL for thousand kernel weight under terminal drought conditions. The remaining allele effects for marker*treatment interaction did not differ significantly between the parental allelic mean determined with the haplotype approach. In comparison, the binary approach was able to map the allelic effects to smaller genetic intervals. Thus both mapping approaches have their advantages and disadvantages when applied to a multi-parent population, and therefore should be used in conjunction with each other when analysing this type of population. The results of epistatic interaction emphasised the importance of interaction between genomic regions in the characteristic value of agronomic traits. For the trait days to heading a reduction by 7.2 days was investigated by interaction between two regions. The genomic region on 5H, 206.4 cM was significantly involved, furthermore the marker sequence matched with that of a predicted protein sequence that regulates the phyto hormone auxin, which is involved in plant growth. Thus the present study demonstrates that the established MAGIC barley population is an important genetic resource and will be an ideal mapping population in which to investigate both, inheritance and interactions between gene regions.},

url = {http://hdl.handle.net/20.500.11811/5562}
}

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