Marker-trait association analysis for drought tolerance related traits using MAGIC lines

cg.contactT.MAHENDAR@CGIAR.ORGen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.regionGlobalen_US
cg.creator.idThudi, Mahendar: 0000-0003-2851-6837en_US
cg.subject.agrovocanalysisen_US
dc.creatorThudi, Mahendaren_US
dc.date.accessioned2017-08-16T05:53:42Z
dc.date.available2017-08-16T05:53:42Z
dc.description.abstractA total of 51.69 billion clean reads (90 bp) containing 4.65 TB clean data was generated on the MAGIC lines sequenced (including eight parental lines). On an average the sequencing depth on parental lines was 48x and 96% of the reads generated were aligned. The sequence data generated on each line varied between 1.88 - 8.47 Gb. A genetic map with 8035 SNP markers was developed using RABBIT program (Table 1). The genetic map spanned 1717.5cM with maximum markers mapped on CaLG04. A very high correlation of was observed for the genetic and physical position of the markers (Figure 1). Phenotyping data generated 2013-14 and 2014-15 along with genetic map constructed are being used for establishing marker trait association for drought tolerance related traits.en_US
dc.formatDOCXen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/nXSchrVl/v/d5f52ebecc12bb7d7d0a2bba42f6fc26en_US
dc.identifier.citationMahendar Thudi. (1/4/2017). Marker-trait association analysis for drought tolerance related traits using MAGIC lines.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7414
dc.languageenen_US
dc.rightsCC-BY-4.0en_US
dc.titleMarker-trait association analysis for drought tolerance related traits using MAGIC linesen_US
dc.typeReporten_US
dcterms.available2017-04-01en_US

Files