dc.contributor | Khan, Aamir | en_US |
dc.contributor | Jaganathan, Deepa | en_US |
dc.contributor | Thudi, Mahendar | en_US |
dc.contributor | Roorkiwal, Manish | en_US |
dc.contributor | Takagi, Hiroki | en_US |
dc.contributor | Vanika, Garg | en_US |
dc.contributor | Kumar, Vinay | en_US |
dc.contributor | Chitikineni, Annapurna | en_US |
dc.contributor | Gaur, Pooran | en_US |
dc.contributor | Sutton, Tim | en_US |
dc.contributor | Terauchi, Ryohei | en_US |
dc.contributor | Varshney, Rajeev | en_US |
dc.creator | Singh, Vikas | en_US |
dc.date | 2016-11-30 | en_US |
dc.date.accessioned | 2017-04-19T12:29:31Z | |
dc.date.available | 2017-04-19T12:29:31Z | |
dc.identifier | https://mel.cgiar.org/reporting/download/hash/MvXxCXSQ | en_US |
dc.identifier.citation | Vikas Singh, Aamir Khan, Deepa Jaganathan, Mahendar Thudi, Manish Roorkiwal, Hiroki Takagi, Garg Vanika, Vinay Kumar, Annapurna Chitikineni, Pooran Gaur, Tim Sutton, Ryohei Terauchi, Rajeev Varshney. (30/11/2016). QTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea. Plant Biotechnology Journal, 14 (11), pp. 2110-2119. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/6835 | |
dc.description.abstract | Terminal drought is a major constraint to chickpea productivity. Two component traits
responsible for reduction in yield under drought stress include reduction in seeds size and root
length/root density. QTL-seq approach, therefore, was used to identify candidate genomic
regions for 100-seed weight (100SDW) and total dry root weight to total plant dry weight ratio
(RTR) under rainfed conditions. Genomewide SNP profiling of extreme phenotypic bulks from the
ICC 4958 9 ICC 1882 population identified two significant genomic regions, one on CaLG01
(1.08 Mb) and another on CaLG04 (2.7 Mb) linkage groups for 100SDW. Similarly, one
significant genomic region on CaLG04 (1.10 Mb) was identified for RTR. Comprehensive analysis
revealed four and five putative candidate genes associated with 100SDW and RTR, respectively.
Subsequently, two genes (Ca_04364 and Ca_04607) for 100SDW and one gene (Ca_04586) for
RTR were validated using CAPS/dCAPS markers. Identified candidate genomic regions and genes
may be useful for molecular breeding for chickpea improvement. | en_US |
dc.format | PDF | en_US |
dc.language | en | en_US |
dc.publisher | Wiley Open Access | en_US |
dc.rights | CC-BY-4.0 | en_US |
dc.source | Plant Biotechnology Journal;14,(2016) Pagination 2110,2119 | en_US |
dc.subject | trait mapping | en_US |
dc.subject | resequencing | en_US |
dc.subject | root ratio | en_US |
dc.subject | snp-index | en_US |
dc.subject | Chickpea | en_US |
dc.title | QTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea | en_US |
dc.type | Journal Article | en_US |
cg.creator.id | Thudi, Mahendar: 0000-0003-2851-6837 | en_US |
cg.creator.id | Roorkiwal, Manish: 0000-0001-6595-281X | en_US |
cg.creator.ID-type | ORCID | en_US |
cg.creator.ID-type | ORCID | en_US |
cg.subject.agrovoc | seed weight | en_US |
cg.subject.agrovoc | chickpeas | en_US |
cg.contributor.center | International Crops Research Institute for the Semi-Arid Tropics - ICRISAT | en_US |
cg.contributor.center | Osmania University | en_US |
cg.contributor.center | Iwate Biotechnology Research Center - IBRC | en_US |
cg.contributor.center | University of Adelaide - Adelaide | en_US |
cg.contributor.center | South Australian Research and Development Institute - SARDI | en_US |
cg.contributor.center | The University of Western Australia, Faculty of Science, School of Plant Biology - UWA - FoS - SoPB | en_US |
cg.contributor.crp | CGIAR Research Program on Grain Legumes - GL | en_US |
cg.contributor.funder | CGIAR System Organization - CGIAR | en_US |
cg.coverage.region | Southern Asia | en_US |
cg.coverage.country | IN | en_US |
cg.contact | R.K.Varshney@CGIAR.ORG | en_US |
cg.identifier.doi | https://dx.doi.org/10.1111/pbi.12567 | en_US |
dc.identifier.status | Open access | en_US |
mel.impact-factor | 6.305 | en_US |