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Article details
Title
Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop‐to‐weed pollen flow in sunflower
Published in
Evolutionary Applications, December 2014
DOI 10.1111/eva.12222
Pubmed ID
Authors
Abstract

Flowering time divergence can be a crucial component of reproductive isolation between sympatric populations, but few studies have quantified its actual contribution to the reduction of gene flow. In this study, we aimed at estimating pollen-mediated gene flow between cultivated sunflower and a weedy conspecific sunflower population growing in the same field and at quantifying, how it is affected by the weeds' flowering time. For that purpose, we extended an existing mating model by including a temporal distance (i.e. flowering time difference between potential parents) effect on mating probabilities. Using phenological and genotypic data gathered on the crop and on a sample of the weedy population and its offspring, we estimated an average hybridization rate of approximately 10%. This rate varied strongly from 30% on average for weeds flowering at the crop flowering peak to 0% when the crop finished flowering and was affected by the local density of weeds. Our result also suggested the occurrence of other factors limiting crop-to-weed gene flow. This level of gene flow and its dependence on flowering time might influence the evolutionary fate of weedy sunflower populations sympatric to their crop relative.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 5%
Colombia 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 38%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Student > Postgraduate 2 10%
Other 0 0%
Unknown 5 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 71%
Environmental Science 1 5%
Psychology 1 5%
Unknown 4 19%
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 11 February 2015.
All research outputs
#22,692,974
of 27,780,120 outputs
Outputs from Evolutionary Applications
#1,476
of 1,654 outputs
Outputs of similar age
#285,765
of 377,298 outputs
Outputs of similar age from Evolutionary Applications
#16
of 17 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 3rd percentile – i.e., 3% 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 377,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.