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Optimized diffusion of buck semen for saving genetic variability in selected dairy goat populations

Overview of attention for article published in BMC Genomic Data, February 2011
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Title
Optimized diffusion of buck semen for saving genetic variability in selected dairy goat populations
Published in
BMC Genomic Data, February 2011
DOI 10.1186/1471-2156-12-25
Pubmed ID
Authors

Jean-Jacques Colleau, Virginie Clément, Pierre Martin, Isabelle Palhière

Abstract

Current research on quantitative genetics has provided efficient guidelines for the sustainable management of selected populations: genetic gain is maximized while the loss of genetic diversity is maintained at a reasonable rate. However, actual selection schemes are complex, especially for large domestic species, and they have to take into account many operational constraints. This paper deals with the actual selection of dairy goats where the challenge is to optimize diffusion of buck semen on the field. Three objectives are considered simultaneously: i) natural service buck replacement (NSR); ii) goat replacement (GR); iii) semen distribution of young bucks to be progeny-tested. An appropriate optimization method is developed, which involves five analytical steps. Solutions are obtained by simulated annealing and the corresponding algorithms are presented in detail.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 47%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 59%
Environmental Science 3 18%
Business, Management and Accounting 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Unknown 2 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 September 2011.
All research outputs
#17,286,645
of 25,377,790 outputs
Outputs from BMC Genomic Data
#668
of 1,204 outputs
Outputs of similar age
#155,000
of 194,787 outputs
Outputs of similar age from BMC Genomic Data
#9
of 10 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,787 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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