↓ Skip to main content

Determining Phenological Patterns Associated with the Onset of Senescence in a Wheat MAGIC Mapping Population

Overview of attention for article published in Frontiers in Plant Science, October 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Determining Phenological Patterns Associated with the Onset of Senescence in a Wheat MAGIC Mapping Population
Published in
Frontiers in Plant Science, October 2016
DOI 10.3389/fpls.2016.01540
Pubmed ID
Authors

Anyela V. Camargo, Richard Mott, Keith A. Gardner, Ian J. Mackay, Fiona Corke, John H. Doonan, Jan T. Kim, Alison R. Bentley

Abstract

The appropriate timing of developmental transitions is critical for adapting many crops to their local climatic conditions. Therefore, understanding the genetic basis of different aspects of phenology could be useful in highlighting mechanisms underpinning adaptation, with implications in breeding for climate change. For bread wheat (Triticum aestivum), the transition from vegetative to reproductive growth, the start and rate of leaf senescence and the relative timing of different stages of flowering and grain filling all contribute to plant performance. In this study we screened under Smart house conditions a large, multi-founder "NIAB elite MAGIC" wheat population, to evaluate the genetic elements that influence the timing of developmental stages in European elite varieties. This panel of recombinant inbred lines was derived from eight parents that are or recently have been grown commercially in the UK and Northern Europe. We undertook a detailed temporal phenotypic analysis under Smart house conditions of the population and its parents, to try to identify known or novel Quantitative Trait Loci associated with variation in the timing of key phenological stages in senescence. This analysis resulted in the detection of QTL interactions with novel traits such the time between "half of ear emergence above flag leaf ligule" and the onset of senescence at the flag leaf as well as traits associated with plant morphology such as stem height. In addition, strong correlations between several traits and the onset of senescence of the flag leaf were identified. This work establishes the value of systematically phenotyping genetically unstructured populations to reveal the genetic architecture underlying morphological variation in commercial wheat.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 11 20%
Student > Bachelor 7 13%
Student > Master 4 7%
Professor 3 5%
Other 6 11%
Unknown 12 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 58%
Biochemistry, Genetics and Molecular Biology 3 5%
Environmental Science 2 4%
Business, Management and Accounting 1 2%
Earth and Planetary Sciences 1 2%
Other 1 2%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 November 2016.
All research outputs
#6,095,666
of 22,896,955 outputs
Outputs from Frontiers in Plant Science
#3,243
of 20,304 outputs
Outputs of similar age
#92,966
of 313,854 outputs
Outputs of similar age from Frontiers in Plant Science
#43
of 401 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 20,304 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 313,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 401 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.