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Population admixture can enhance establishment success of the introduced biological control agent Cryptolaemus montrouzieri

Overview of attention for article published in BMC Ecology and Evolution, March 2018
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Title
Population admixture can enhance establishment success of the introduced biological control agent Cryptolaemus montrouzieri
Published in
BMC Ecology and Evolution, March 2018
DOI 10.1186/s12862-018-1158-5
Pubmed ID
Authors

Hao-Sen Li, Shang-Jun Zou, Patrick De Clercq, Hong Pang

Abstract

Introduced biological control agents have opportunities of population admixture through multiple introductions in the field. However, the importance of population admixture for their establishment success often remains unclear. Previous studies based on genetic markers have suggested a history of population admixture in the predatory ladybird Cryptolaemus montrouzieri Mulsant in China. We tested whether population admixture may lead to fitness changes under laboratory conditions. We first found no mating barrier or strong bias between two parental populations, despite their differences in genetics and phenotypes. Then, our experimental evidence supported the hypothesis that admixed populations have a higher potential of establishment success, due to their superior reproductive ability, and hunger and cold tolerance inherited from one of the parental populations. We suggest that population admixture can be a breeding method to improve the performance of biological control agents, particularly when used in a classical biological control approach, but that consequences for potential invasiveness need to be considered.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Doctoral Student 3 13%
Student > Bachelor 3 13%
Researcher 3 13%
Professor 1 4%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 52%
Biochemistry, Genetics and Molecular Biology 4 17%
Business, Management and Accounting 1 4%
Environmental Science 1 4%
Unknown 5 22%
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 25 October 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from BMC Ecology and Evolution
#3,511
of 3,714 outputs
Outputs of similar age
#304,595
of 344,729 outputs
Outputs of similar age from BMC Ecology and Evolution
#53
of 55 outputs
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