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The impact of genomic relatedness between populations on the genomic estimated breeding values

Overview of attention for article published in Journal of Animal Science and Biotechnology, August 2018
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
The impact of genomic relatedness between populations on the genomic estimated breeding values
Published in
Journal of Animal Science and Biotechnology, August 2018
DOI 10.1186/s40104-018-0279-4
Pubmed ID
Authors

Peipei Ma, Ju Huang, Weijia Gong, Xiujin Li, Hongding Gao, Qin Zhang, Xiangdong Ding, Chonglong Wang

Abstract

In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is important for improving the genomic predictive ability. In this study, we used 122 French bulls as test individuals. The genomic estimated breeding values (GEBVs) evaluated using French RP, America RP and Chinese RP were compared. The results showed that the GEBVs were in higher concordance using French RP and American RP compared with using Chinese population. The persistence analysis, kinship analysis and the principal component analysis (PCA) were performed for 270 French bulls, 270 American bulls and 270 Chinese bulls to interpret the results. All the analyses illustrated that the genetic relationship between French bulls and American bulls was closer compared with Chinese bulls. Another reason could be the size of RP in China was smaller than the other two RPs. In conclusion, using RP of a related population to predict GEBVs of the animals in a target population is feasible when these two populations have a close genetic relationship and the related population is large.

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X Demographics

The data shown below were collected from the profiles of 4 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 3 23%
Researcher 2 15%
Lecturer 1 8%
Unknown 3 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Biochemistry, Genetics and Molecular Biology 4 31%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 November 2018.
All research outputs
#14,393,794
of 25,385,509 outputs
Outputs from Journal of Animal Science and Biotechnology
#194
of 905 outputs
Outputs of similar age
#157,270
of 324,991 outputs
Outputs of similar age from Journal of Animal Science and Biotechnology
#6
of 20 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 905 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 78% 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 324,991 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 51% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.