eprintid: 13
rev_number: 16
eprint_status: archive
userid: 1
dir: disk0/00/00/00/13
datestamp: 2011-05-17 09:01:45
lastmod: 2013-09-16 09:37:22
status_changed: 2011-05-17 09:01:45
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@cgiar.org
item_issues_count: 0
creators_name: Neumann, K
creators_name: Kobiljski, B
creators_name: Dencic, S
creators_name: Varshney, R K
creators_name: Borner, A
icrisatcreators_name: Varshney, R K
affiliation: Leibniz Institute Pflanzengenet & Kulturpflanzenforsch(Gatersleben)
affiliation: Institute of  Field & Vegetable Crops(Novi Sad)
affiliation: ICRISAT(Patancheru)
country: Germany
country: Serbia
country: India
title: Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.)
ispublished: pub
subjects: s2.3
full_text_status: restricted
keywords: Agronomic traits; General linear
model;Genetic mapping;Linkage disequilibrium;
Marker–trait associations;Mixed linear model;
Triticum aestivum
agrotags: <b>Agrotags</b>     - agreements | social groups | locus | wheats | chromosomes | genetics | breeds (animals) | developmental stages | grain | genes <br><b>Fishtags</b>    - NOT-AVAILABLE<br><b>Geopoliticaltags</b> - usa | serbia | germany
abstract: Association-based trait mapping is an innovative methodology based on linkage disequilibrium. Studies in plants, especially in cereals, are rare. A genome-wide association study of wheat is reported, in which a large number of diversity array technology markers was used to genotype a winter wheat core collection of 96 accessions. The germplasm was structured into two sub-populations. Twenty agronomic traits were measured in field trials conducted over up to eight growing seasons. Association analysis was performed with two different approaches, the general linear model incorporating the Q-matrix only and the mixed linear model including also the kinship-matrix. In total, 385 marker-trait associations significant in both models were detected. The intrachromosomal location of many of these coincided with those of known major genes or quantitative trait loci, but others were detected in regions where no known genes have been located to date. These latter presumptive loci provide opportunities for further wheat improvement, based on a marker approach.
date: 2011
date_type: published
publication: Molecular Breeding
volume: 27
publisher: Springer Netherlands
pagerange: 37-58
refereed: TRUE
issn: 1572-9788
official_url: http://dx.doi.org/10.1007/s11032-010-9411-7
related_url_url: http://scholar.google.co.in/scholar?as_q=%22Genome-wide+association+mapping%3A+a+case+study+in+bread+wheat+%28Triticum+aestivum+L.%29%22&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors=&as_publication=&as_ylo=&as_yhi=&as_sdt=1.&
related_url_type: pub
citation:   Neumann, K and Kobiljski, B and Dencic, S and Varshney, R K and Borner, A  (2011) Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.).  Molecular Breeding, 27.  pp. 37-58.  ISSN 1572-9788     
document_url: http://oar.icrisat.org/13/1/varsh-germ.pdf