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Genomic and environmental selection patterns in two distinct lettuce crop–wild hybrid crosses

Overview of attention for article published in Evolutionary Applications, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
1 X user
facebook
1 Facebook page

Citations

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22 Dimensions

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40 Mendeley
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1 CiteULike
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Title
Genomic and environmental selection patterns in two distinct lettuce crop–wild hybrid crosses
Published in
Evolutionary Applications, January 2013
DOI 10.1111/eva.12043
Pubmed ID
Authors

Yorike Hartman, Brigitte Uwimana, Danny A P Hooftman, Michael E Schranz, Clemens C M van de Wiel, Marinus J M Smulders, Richard G F Visser, Peter H van Tienderen

Abstract

Genomic selection patterns and hybrid performance influence the chance that crop (trans)genes can spread to wild relatives. We measured fitness(-related) traits in two different field environments employing two different crop-wild crosses of lettuce. We performed quantitative trait loci (QTL) analyses and estimated the fitness distribution of early- and late-generation hybrids. We detected consistent results across field sites and crosses for a fitness QTL at linkage group 7, where a selective advantage was conferred by the wild allele. Two fitness QTL were detected on linkage group 5 and 6, which were unique to one of the crop-wild crosses. Average hybrid fitness was lower than the fitness of the wild parent, but several hybrid lineages outperformed the wild parent, especially in a novel habitat for the wild type. In early-generation hybrids, this may partly be due to heterosis effects, whereas in late-generation hybrids transgressive segregation played a major role. The study of genomic selection patterns can identify crop genomic regions under negative selection across multiple environments and cultivar-wild crosses that might be applicable in transgene mitigation strategies. At the same time, results were cultivar-specific, so that a case-by-case environmental risk assessment is still necessary, decreasing its general applicability.

X Demographics

X Demographics

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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Netherlands 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 9 23%
Student > Master 6 15%
Student > Bachelor 4 10%
Student > Doctoral Student 1 3%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 68%
Environmental Science 4 10%
Engineering 2 5%
Unspecified 1 3%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 24 June 2016.
All research outputs
#2,537,975
of 25,373,627 outputs
Outputs from Evolutionary Applications
#348
of 1,578 outputs
Outputs of similar age
#24,591
of 288,063 outputs
Outputs of similar age from Evolutionary Applications
#5
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done well, scoring higher than 77% 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 288,063 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.