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Predicting the impact of selection for scrapie resistance on PRNP genotype frequencies in goats

Overview of attention for article published in Veterinary Research, March 2018
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  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Predicting the impact of selection for scrapie resistance on PRNP genotype frequencies in goats
Published in
Veterinary Research, March 2018
DOI 10.1186/s13567-018-0518-x
Pubmed ID
Authors

Paola Sacchi, Roberto Rasero, Giuseppe Ru, Eleonora Aiassa, Silvia Colussi, Francesco Ingravalle, Simone Peletto, Maria Gabriella Perrotta, Stefano Sartore, Dominga Soglia, Pierluigi Acutis

Abstract

The European Union has implemented breeding programmes to increase scrapie resistance in sheep. A similar approach can be applied also in goats since the K222 allele provides a level of resistance equivalent to that of ARR in sheep. The European Food Safety Authority stated that breeding for resistance could be offered as an option for Member States to control classical scrapie in goats. We assessed the impact of different breeding strategies on PRNP genotype frequencies using a mathematical model that describes in detail the evolution of K222 in two goat breeds, Chamois Coloured and Saanen. Different patterns of age structure and replacement rate were modelled as factors affecting response to selection. Breeding for scrapie resistance can be implemented in goats, even though the initial K222 frequencies in these breeds are not particularly favourable and the rate at which the resistant animals increase, both breeding and slaughtered for meat production, is slow. If the goal is not to achieve the fixation of resistance allele, it is advisable to carry out selection only until a desired frequency of K222-carriers has been attained. Nucleus selection vs. selection on the overall populations is less expensive but takes longer to reach the desired output. The programme performed on the two goat breeds serves as a model of the response the selection could have in other breeds that show different initial frequencies and population structure. In this respect, the model has a general applicability.

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The data shown below were collected from the profiles of 7 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 21%
Researcher 3 21%
Student > Ph. D. Student 2 14%
Student > Doctoral Student 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 21%
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Immunology and Microbiology 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 September 2018.
All research outputs
#8,478,408
of 25,382,440 outputs
Outputs from Veterinary Research
#420
of 1,337 outputs
Outputs of similar age
#139,326
of 347,366 outputs
Outputs of similar age from Veterinary Research
#2
of 23 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 347,366 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.