| Title |
Detection of genes influencing economic traits in three French dairy cattle breeds
|
|---|---|
| Published in |
Genetics Selection Evolution, January 2003
|
| DOI | 10.1186/1297-9686-35-1-77 |
| Pubmed ID | |
| Authors |
Didier Boichard, Cécile Grohs, Florence Bourgeois, Frédérique Cerqueira, Rémi Faugeras, André Neau, Rachel Rupp, Yves Amigues, Marie Yvonne Boscher, Hubert Levéziel |
| Abstract |
A project of QTL detection was carried out in the French Holstein, Normande, and Montbéliarde dairy cattle breeds. This granddaughter design included 1 548 artificial insemination bulls distributed in 14 sire families and evaluated after a progeny-test for 24 traits (production, milk composition, persistency, type, fertility, mastitis resistance, and milking ease). These bulls were also genotyped for 169 genetic markers, mostly microsatellites. The QTL were analysed by within-sire linear regression of daughter yield deviations or deregressed proofs on the probability that the son receives one or the other paternal QTL allele, given the marker information. QTL were detected for all traits, including those with a low heritability. One hundred and twenty QTL with a chromosome-wise significance lower than 3% were tabulated. This threshold corresponded to a 15% false discovery rate. Amongst them, 32 were genome-wise significant. Estimates of their contribution to genetic variance ranged from 6 to 40%. Most substitution effects ranged from 0.6 to 1.0 genetic standard deviation. For a given QTL, only 1 to 5 families out of 14 were informative. The confidence intervals of the QTL locations were large and always greater than 20 cM. This experiment confirmed several already published QTL but most of them were original, particularly for non-production traits. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Student > Master | 2 | 22% |
| Other | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 56% |
| Veterinary Science and Veterinary Medicine | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Arts and Humanities | 1 | 11% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2018.
All research outputs
#5,452,627
of 25,394,764 outputs
Outputs from Genetics Selection Evolution
#147
of 820 outputs
Outputs of similar age
#17,701
of 147,708 outputs
Outputs of similar age from Genetics Selection Evolution
#3
of 7 outputs
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