↓ Skip to main content

Mapping of novel salt tolerance QTL in an Excalibur × Kukri doubled haploid wheat population

Overview of attention for article published in Theoretical and Applied Genetics, July 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 3,656)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
44 X users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
57 Mendeley
Title
Mapping of novel salt tolerance QTL in an Excalibur × Kukri doubled haploid wheat population
Published in
Theoretical and Applied Genetics, July 2018
DOI 10.1007/s00122-018-3146-y
Pubmed ID
Authors

Muhammad A. Asif, Rhiannon K. Schilling, Joanne Tilbrook, Chris Brien, Kate Dowling, Huwaida Rabie, Laura Short, Christine Trittermann, Alexandre Garcia, Edward G. Barrett-Lennard, Bettina Berger, Diane E. Mather, Matthew Gilliham, Delphine Fleury, Mark Tester, Stuart J. Roy, Allison S. Pearson

Abstract

Novel QTL for salinity tolerance traits have been detected using non-destructive and destructive phenotyping in bread wheat and were shown to be linked to improvements in yield in saline fields. Soil salinity is a major limitation to cereal production. Breeding new salt-tolerant cultivars has the potential to improve cereal crop yields. In this study, a doubled haploid bread wheat mapping population, derived from the bi-parental cross of Excalibur × Kukri, was grown in a glasshouse under control and salinity treatments and evaluated using high-throughput non-destructive imaging technology. Quantitative trait locus (QTL) analysis of this population detected multiple QTL under salt and control treatments. Of these, six QTL were detected in the salt treatment including one for maintenance of shoot growth under salinity (QG(1-5).asl-7A), one for leaf Na+ exclusion (QNa.asl-7A) and four for leaf K+ accumulation (QK.asl-2B.1, QK.asl-2B.2, QK.asl-5A and QK:Na.asl-6A). The beneficial allele for QG(1-5).asl-7A (the maintenance of shoot growth under salinity) was present in six out of 44 mainly Australian bread and durum wheat cultivars. The effect of each QTL allele on grain yield was tested in a range of salinity concentrations at three field sites across 2 years. In six out of nine field trials with different levels of salinity stress, lines with alleles for Na+ exclusion and/or K+ maintenance at three QTL (QNa.asl-7A, QK.asl-2B.2 and QK:Na.asl-6A) excluded more Na+ or accumulated more K+ compared to lines without these alleles. Importantly, the QK.asl-2B.2 allele for higher K+ accumulation was found to be associated with higher grain yield at all field sites. Several alleles at other QTL were associated with higher grain yields at selected field sites.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 10 18%
Student > Bachelor 5 9%
Other 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 15 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 44%
Biochemistry, Genetics and Molecular Biology 8 14%
Computer Science 2 4%
Medicine and Dentistry 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 15 March 2023.
All research outputs
#1,033,461
of 24,417,958 outputs
Outputs from Theoretical and Applied Genetics
#34
of 3,656 outputs
Outputs of similar age
#22,610
of 334,031 outputs
Outputs of similar age from Theoretical and Applied Genetics
#1
of 48 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,656 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 334,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.