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Accelerated Generation of Selfed Pure Line Plants for Gene Identification and Crop Breeding

Overview of attention for article published in Frontiers in Plant Science, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Accelerated Generation of Selfed Pure Line Plants for Gene Identification and Crop Breeding
Published in
Frontiers in Plant Science, October 2017
DOI 10.3389/fpls.2017.01786
Pubmed ID
Authors

Guijun Yan, Hui Liu, Haibo Wang, Zhanyuan Lu, Yanxia Wang, Daniel Mullan, John Hamblin, Chunji Liu

Abstract

Production of pure lines is an important step in biological studies and breeding of many crop plants. The major types of pure lines for biological studies and breeding include doubled haploid (DH) lines, recombinant inbred lines (RILs), and near isogenic lines (NILs). DH lines can be produced through microspore and megaspore culture followed by chromosome doubling while RILs and NILs can be produced through introgressions or repeated selfing of hybrids. DH approach was developed as a quicker method than conventional method to produce pure lines. However, its drawbacks of genotype-dependency and only a single chance of recombination limited its wider application. A recently developed fast generation cycling system (FGCS) achieved similar times to those of DH for the production of selfed pure lines but is more versatile as it is much less genotype-dependent than DH technology and does not restrict recombination to a single event. The advantages and disadvantages of the technologies and their produced pure line populations for different purposes of biological research and breeding are discussed. The development of a concept of complete in vitro meiosis and mitosis system is also proposed. This could integrate with the recently developed technologies of single cell genomic sequencing and genome wide selection, leading to a complete laboratory based pre-breeding scheme.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 19%
Student > Ph. D. Student 29 18%
Student > Master 20 12%
Student > Bachelor 17 10%
Student > Doctoral Student 6 4%
Other 12 7%
Unknown 49 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 52%
Biochemistry, Genetics and Molecular Biology 19 12%
Business, Management and Accounting 1 <1%
Unspecified 1 <1%
Psychology 1 <1%
Other 3 2%
Unknown 55 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 December 2017.
All research outputs
#4,395,975
of 24,208,207 outputs
Outputs from Frontiers in Plant Science
#2,306
of 22,660 outputs
Outputs of similar age
#76,040
of 331,860 outputs
Outputs of similar age from Frontiers in Plant Science
#58
of 482 outputs
Altmetric has tracked 24,208,207 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,660 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% 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 331,860 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 482 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.