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High-throughput SNP genotyping of modern and wild emmer wheat for yield and root morphology using a combined association and linkage analysis

Overview of attention for article published in Functional & Integrative Genomics, May 2017
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Title
High-throughput SNP genotyping of modern and wild emmer wheat for yield and root morphology using a combined association and linkage analysis
Published in
Functional & Integrative Genomics, May 2017
DOI 10.1007/s10142-017-0563-y
Pubmed ID
Authors

Stuart J. Lucas, Ayten Salantur, Selami Yazar, Hikmet Budak

Abstract

Durum wheat (Triticum turgidum var. durum Desf.) is a major world crop that is grown primarily in areas of the world that experience periodic drought, and therefore, breeding climate-resilient durum wheat is a priority. High-throughput single nucleotide polymorphism (SNP) genotyping techniques have greatly increased the power of linkage and association mapping analyses for bread wheat, but as yet there is no durum wheat-specific platform available. In this study, we evaluate the new 384HT Wheat Breeders Array for its usefulness in tetraploid wheat breeding by genotyping a breeding population of F6 hybrids, derived from multiple crosses between T. durum cultivars and wild and cultivated emmer wheat accessions. Using a combined linkage and association mapping approach, we generated a genetic map including 1345 SNP markers, and identified markers linked to 6 QTLs for coleoptile length (2), heading date (1), anthocyanin accumulation (1) and osmotic stress tolerance (2). We also developed a straightforward approach for combining genetic data from multiple families of limited size that will be useful for evaluating and mapping pre-existing breeding material.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 9 21%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 48%
Biochemistry, Genetics and Molecular Biology 6 14%
Environmental Science 1 2%
Immunology and Microbiology 1 2%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 13 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 July 2018.
All research outputs
#14,939,304
of 22,977,819 outputs
Outputs from Functional & Integrative Genomics
#175
of 514 outputs
Outputs of similar age
#186,631
of 313,455 outputs
Outputs of similar age from Functional & Integrative Genomics
#3
of 8 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 60% 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 313,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.