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Spectral Vegetation Indices to Track Senescence Dynamics in Diverse Wheat Germplasm

Overview of attention for article published in Frontiers in Plant Science, January 2020
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Spectral Vegetation Indices to Track Senescence Dynamics in Diverse Wheat Germplasm
Published in
Frontiers in Plant Science, January 2020
DOI 10.3389/fpls.2019.01749
Pubmed ID
Authors

Jonas Anderegg, Kang Yu, Helge Aasen, Achim Walter, Frank Liebisch, Andreas Hund

Abstract

The ability of a genotype to stay green affects the primary target traits grain yield (GY) and grain protein concentration (GPC) in wheat. High throughput methods to assess senescence dynamics in large field trials will allow for (i) indirect selection in early breeding generations, when yield cannot yet be accurately determined and (ii) mapping of the genomic regions controlling the trait. The aim of this study was to develop a robust method to assess senescence based on hyperspectral canopy reflectance. Measurements were taken in three years throughout the grain filling phase on >300 winter wheat varieties in the spectral range from 350 to 2500 nm using a spectroradiometer. We compared the potential of spectral indices (SI) and full-spectrum models to infer visually observed senescence dynamics from repeated reflectance measurements. Parameters describing the dynamics of senescence were used to predict GY and GPC and a feature selection algorithm was used to identify the most predictive features. The three-band plant senescence reflectance index (PSRI) approximated the visually observed senescence dynamics best, whereas full-spectrum models suffered from a strong year-specificity. Feature selection identified visual scorings as most predictive for GY, but also PSRI ranked among the most predictive features while adding additional spectral features had little effect. Visually scored delayed senescence was positively correlated with GY ranging from r = 0.173 in 2018 to r = 0.365 in 2016. It appears that visual scoring remains the gold standard to quantify leaf senescence in moderately large trials. However, using appropriate phenotyping platforms, the proposed index-based parameterization of the canopy reflectance dynamics offers the critical advantage of upscaling to very large breeding trials.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Ph. D. Student 13 15%
Student > Master 12 14%
Student > Bachelor 11 13%
Student > Doctoral Student 3 3%
Other 8 9%
Unknown 26 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 38%
Environmental Science 8 9%
Engineering 4 5%
Earth and Planetary Sciences 3 3%
Computer Science 2 2%
Other 5 6%
Unknown 33 38%
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 06 March 2020.
All research outputs
#6,475,069
of 23,237,082 outputs
Outputs from Frontiers in Plant Science
#3,654
of 21,008 outputs
Outputs of similar age
#138,298
of 451,684 outputs
Outputs of similar age from Frontiers in Plant Science
#124
of 451 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 21,008 research outputs from this source. They receive a mean Attention Score of 3.9. 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 451,684 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 69% of its contemporaries.
We're also able to compare this research output to 451 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 72% of its contemporaries.