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Reliability of pedigree-based and genomic evaluations in selected populations

Overview of attention for article published in Genetics Selection Evolution, August 2015
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Reliability of pedigree-based and genomic evaluations in selected populations
Published in
Genetics Selection Evolution, August 2015
DOI 10.1186/s12711-015-0145-1
Pubmed ID
Authors

Gregor Gorjanc, Piter Bijma, John M. Hickey

Abstract

Reliability is an important parameter in breeding. It measures the precision of estimated breeding values (EBV) and, thus, potential response to selection on those EBV. The precision of EBV is commonly measured by relating the prediction error variance (PEV) of EBV to the base population additive genetic variance (base PEV reliability), while the potential for response to selection is commonly measured by the squared correlation between the EBV and breeding values (BV) on selection candidates (reliability of selection). While these two measures are equivalent for unselected populations, they are not equivalent for selected populations. The aim of this study was to quantify the effect of selection on these two measures of reliability and to show how this affects comparison of breeding programs using pedigree-based or genomic evaluations. Two scenarios with random and best linear unbiased prediction (BLUP) selection were simulated, where the EBV of selection candidates were estimated using only pedigree, pedigree and phenotype, genome-wide marker genotypes and phenotype, or only genome-wide marker genotypes. The base PEV reliabilities of these EBV were compared to the corresponding reliabilities of selection. Realized genetic selection intensity was evaluated to quantify the potential of selection on the different types of EBV and, thus, to validate differences in reliabilities. Finally, the contribution of different underlying processes to changes in additive genetic variance and reliabilities was quantified. The simulations showed that, for selected populations, the base PEV reliability substantially overestimates the reliability of selection of EBV that are mainly based on old information from the parental generation, as is the case with pedigree-based prediction. Selection on such EBV gave very low realized genetic selection intensities, confirming the overestimation and importance of genotyping both male and female selection candidates. The two measures of reliability matched when the reductions in additive genetic variance due to the Bulmer effect, selection, and inbreeding were taken into account. For populations under selection, EBV based on genome-wide information are more valuable than suggested by the comparison of the base PEV reliabilities between the different types of EBV. This implies that genome-wide marker information is undervalued for selected populations and that genotyping un-phenotyped female selection candidates should be reconsidered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
Colombia 1 <1%
France 1 <1%
New Zealand 1 <1%
Finland 1 <1%
Unknown 108 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 26%
Student > Ph. D. Student 28 24%
Student > Master 18 15%
Other 10 9%
Student > Doctoral Student 6 5%
Other 14 12%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 69%
Biochemistry, Genetics and Molecular Biology 8 7%
Computer Science 4 3%
Mathematics 2 2%
Environmental Science 2 2%
Other 4 3%
Unknown 16 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 June 2021.
All research outputs
#7,148,499
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#226
of 822 outputs
Outputs of similar age
#77,079
of 276,627 outputs
Outputs of similar age from Genetics Selection Evolution
#6
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 71% 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 276,627 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 71% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.