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Development of a High‐Density Linkage Map and Tagging Leaf Spot Resistance in Pearl Millet Using Genotyping‐by‐Sequencing Markers

Overview of attention for article published in The Plant Genome, July 2016
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  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Development of a High‐Density Linkage Map and Tagging Leaf Spot Resistance in Pearl Millet Using Genotyping‐by‐Sequencing Markers
Published in
The Plant Genome, July 2016
DOI 10.3835/plantgenome2015.10.0106
Pubmed ID
Authors

Somashekhar M. Punnuri, Jason G. Wallace, Joseph E. Knoll, Katie E. Hyma, Sharon E. Mitchell, Edward S. Buckler, Rajeev K. Varshney, Bharat P. Singh

Abstract

Pearl millet [ (L.) R. Br; also (L.) Morrone] is an important crop throughout the world but better genomic resources for this species are needed to facilitate crop improvement. Genome mapping studies are a prerequisite for tagging agronomically important traits. Genotyping-by-sequencing (GBS) markers can be used to build high-density linkage maps, even in species lacking a reference genome. A recombinant inbred line (RIL) mapping population was developed from a cross between the lines 'Tift 99DB' and 'Tift 454'. DNA from 186 RILs, the parents, and the F was used for 96-plex KI GBS library development, which was further used for sequencing. The sequencing results showed that the average number of good reads per individual was 2.2 million, the pass filter rate was 88%, and the CV was 43%. High-quality GBS markers were developed with stringent filtering on sequence data from 179 RILs. The reference genetic map developed using 150 RILs contained 16,650 single-nucleotide polymorphisms (SNPs) and 333,567 sequence tags spread across all seven chromosomes. The overall average density of SNP markers was 23.23 SNP/cM in the final map and 1.66 unique linkage bins per cM covering a total genetic distance of 716.7 cM. The linkage map was further validated for its utility by using it in mapping quantitative trait loci (QTLs) for flowering time and resistance to leaf spot [ (Cke.) Sacc.]. This map is the densest yet reported for this crop and will be a valuable resource for the pearl millet community.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Ph. D. Student 10 19%
Student > Doctoral Student 6 12%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 6 12%
Unknown 14 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 60%
Biochemistry, Genetics and Molecular Biology 3 6%
Arts and Humanities 2 4%
Business, Management and Accounting 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 November 2018.
All research outputs
#14,539,224
of 25,377,790 outputs
Outputs from The Plant Genome
#318
of 703 outputs
Outputs of similar age
#190,586
of 367,264 outputs
Outputs of similar age from The Plant Genome
#11
of 36 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 703 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 53% 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 367,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 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 69% of its contemporaries.