You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Quantitative trait loci for internal nematode resistance in sheep: a review
|
|---|---|
| Published in |
Genetics Selection Evolution, December 2005
|
| DOI | 10.1186/1297-9686-37-s1-s83 |
| Pubmed ID | |
| Authors |
Sonja Dominik |
| Abstract |
Internal nematode resistance in sheep has a large impact on the economy of sheep industries. Selection for nematode resistance in sheep breeding schemes would help to reduce the direct and indirect cost of parasitism to these industries. However, this is not widely practiced because of the difficulty of measuring parasite resistance or correlated indirect selection criteria. The identification of genes or linked markers that have a significant association with the variance of indicator traits of internal nematode resistance in sheep would facilitate the inclusion of nematode resistance in sheep breeding operations. This review summarises findings reported in the literature of quantitative trait loci for internal nematode resistance in sheep. Issues relating to the analytical and phenotypic complexity of nematode resistance are discussed in the context of the findings of quantitative trait loci for nematode resistance published to date. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Zimbabwe | 1 | 2% |
| Uruguay | 1 | 2% |
| Australia | 1 | 2% |
| Finland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 1 | 2% |
| Student > Bachelor | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 24 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 37% |
| Medicine and Dentistry | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 26 | 53% |