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Water Stress Scatters Nitrogen Dilution Curves in Wheat

Overview of attention for article published in Frontiers in Plant Science, April 2018
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Title
Water Stress Scatters Nitrogen Dilution Curves in Wheat
Published in
Frontiers in Plant Science, April 2018
DOI 10.3389/fpls.2018.00406
Pubmed ID
Authors

Marianne Hoogmoed, Victor O. Sadras

Abstract

Nitrogen dilution curves relate a crop's critical nitrogen concentration (%Nc) to biomass (W) according to the allometric model %Nc = a W -b . This model has a strong theoretical foundation, and parameters a and b show little variation for well-watered crops. Here we explore the robustness of this model for water stressed crops. We established experiments to examine the combined effects of water stress, phenology, partitioning of biomass, and water-soluble carbohydrates (WSC), as driven by environment and variety, on the %Nc of wheat crops. We compared models where %Nc was plotted against biomass, growth stage and thermal time. The models were similarly scattered. Residuals of the %Nc - biomass model at anthesis were positively related to biomass, stem:biomass ratio, Δ13C and water supply, and negatively related to ear:biomass ratio and concentration of WSC. These are physiologically meaningful associations explaining the scatter of biomass-based dilution curves. Residuals of the thermal time model showed less consistent associations with these variables. The biomass dilution model developed for well-watered crops overestimates nitrogen deficiency of water-stressed crops, and a biomass-based model is conceptually more justified than developmental models. This has implications for diagnostic and modeling. As theory is lagging, a greater degree of empiricism might be useful to capture environmental, chiefly water, and genotype-dependent traits in the determination of critical nitrogen for diagnostic purposes. Sensitivity analysis would help to decide if scaling nitrogen dilution curves for crop water status, and genotype-dependent parameters are needed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 25%
Student > Ph. D. Student 6 15%
Student > Master 5 13%
Professor 3 8%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 50%
Environmental Science 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Psychology 1 3%
Other 1 3%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 May 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from Frontiers in Plant Science
#14,036
of 20,607 outputs
Outputs of similar age
#255,937
of 329,539 outputs
Outputs of similar age from Frontiers in Plant Science
#351
of 441 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,607 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 441 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.