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Selection for water-soluble carbohydrate accumulation and investigation of genetic × environment interactions in an elite wheat breeding population

Overview of attention for article published in Theoretical and Applied Genetics, August 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 (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Selection for water-soluble carbohydrate accumulation and investigation of genetic × environment interactions in an elite wheat breeding population
Published in
Theoretical and Applied Genetics, August 2017
DOI 10.1007/s00122-017-2969-2
Pubmed ID
Authors

Ben Ovenden, Andrew Milgate, Chris Lisle, Len J. Wade, Greg J. Rebetzke, James B. Holland

Abstract

Water-soluble carbohydrate accumulation can be selected in wheat breeding programs with consideration of genetic × environmental interactions and relationships with other important characteristics such as relative maturity and nitrogen concentration, although the correlation between WSC traits and grain yield is low and inconsistent. The potential to increase the genetic capacity for water-soluble carbohydrate (WSC) accumulation is an opportunity to improve the drought tolerance capability of rainfed wheat varieties, particularly in environments where terminal drought is a significant constraint to wheat production. A population of elite breeding germplasm was characterized to investigate the potential for selection of improved WSC concentration and total amount in water deficit and well-watered environments. Accumulation of WSC involves complex interactions with other traits and the environment. For both WSC concentration (WSCC) and total WSC per area (WSCA), strong genotype × environment interactions were reflected in the clear grouping of experiments into well-watered and water deficit environment clusters. Genetic correlations between experiments were high within clusters. Heritability for WSCC was larger than for WSCA, and significant associations were observed in both well-watered and water deficit experiment clusters between the WSC traits and nitrogen concentration, tillering, grains per m(2), and grain size. However, correlations between grain yield and WSCC or WSCA were weak and variable, suggesting that selection for these traits is not a better strategy for improving yield under drought than direct selection for yield.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Ph. D. Student 8 17%
Professor > Associate Professor 3 7%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 4 9%
Unknown 17 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Mathematics 4 9%
Environmental Science 2 4%
Nursing and Health Professions 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 December 2017.
All research outputs
#4,694,657
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#635
of 3,565 outputs
Outputs of similar age
#78,946
of 317,157 outputs
Outputs of similar age from Theoretical and Applied Genetics
#18
of 44 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% 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 317,157 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 75% of its contemporaries.
We're also able to compare this research output to 44 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 59% of its contemporaries.