| Title |
A consensus map of rapeseed (Brassica napusL.) based on diversity array technology markers: applications in genetic dissection of qualitative and quantitative traits
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-277 |
| Pubmed ID | |
| Authors |
Harsh Raman, Rosy Raman, Andrzej Kilian, Frank Detering, Yan Long, David Edwards, Isobel AP Parkin, Andrew G Sharpe, Matthew N Nelson, Nick Larkan, Jun Zou, Jinling Meng, M Naveed Aslam, Jacqueline Batley, Wallace A Cowling, Derek Lydiate |
| Abstract |
Dense consensus genetic maps based on high-throughput genotyping platforms are valuable for making genetic gains in Brassica napus through quantitative trait locus identification, efficient predictive molecular breeding, and map-based gene cloning. This report describes the construction of the first B. napus consensus map consisting of a 1,359 anchored array based genotyping platform; Diversity Arrays Technology (DArT), and non-DArT markers from six populations originating from Australia, Canada, China and Europe. We aligned the B. napus DArT sequences with genomic scaffolds from Brassica rapa and Brassica oleracea, and identified DArT loci that showed linkage with qualitative and quantitative loci associated with agronomic traits. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 74 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 30% |
| Researcher | 13 | 17% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 65% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Engineering | 2 | 3% |
| Environmental Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 11 | 14% |
Attention Score in Context
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#20,656,161
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Outputs from BMC Genomics
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Outputs of similar age from BMC Genomics
#141
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