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Mendeley readers
| Title |
Genomic selection in sugar beet breeding populations
|
|---|---|
| Published in |
BMC Genomic Data, September 2013
|
| DOI | 10.1186/1471-2156-14-85 |
| Pubmed ID | |
| Authors |
Tobias Würschum, Jochen C Reif, Thomas Kraft, Geert Janssen, Yusheng Zhao |
| Abstract |
Genomic selection exploits dense genome-wide marker data to predict breeding values. In this study we used a large sugar beet population of 924 lines representing different germplasm types present in breeding populations: unselected segregating families and diverse lines from more advanced stages of selection. All lines have been intensively phenotyped in multi-location field trials for six agronomically important traits and genotyped with 677 SNP markers. |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| Brazil | 2 | 1% |
| Italy | 1 | <1% |
| France | 1 | <1% |
| Malaysia | 1 | <1% |
| Benin | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 151 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 27% |
| Researcher | 36 | 22% |
| Student > Master | 19 | 12% |
| Student > Doctoral Student | 12 | 7% |
| Student > Bachelor | 9 | 6% |
| Other | 18 | 11% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 109 | 67% |
| Biochemistry, Genetics and Molecular Biology | 11 | 7% |
| Mathematics | 4 | 2% |
| Computer Science | 2 | 1% |
| Chemical Engineering | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 32 | 20% |