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Mendeley readers
| Title |
Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation
|
|---|---|
| Published in |
Genetics Selection Evolution, November 2012
|
| DOI | 10.1186/1297-9686-44-33 |
| Pubmed ID | |
| Authors |
Hans D Daetwyler, Andrew A Swan, Julius HJ van der Werf, Ben J Hayes |
| Abstract |
Genomic predictions can be applied early in life without impacting selection candidates. This is especially useful for meat quality traits in sheep. Carcass and novel meat quality traits were predicted in a multi-breed sheep population that included Merino, Border Leicester, Polled Dorset and White Suffolk sheep and their crosses. |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iceland | 1 | <1% |
| Poland | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 119 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 25% |
| Researcher | 28 | 23% |
| Student > Master | 15 | 12% |
| Other | 9 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 16 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 64% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Veterinary Science and Veterinary Medicine | 6 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 6 | 5% |
| Unknown | 19 | 16% |