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Water Stress Scatters Nitrogen Dilution Curves in Wheat
Nitrogen dilution curves relate a crop’s critical nitrogen concentration (%N(c)) to biomass (W) according to the allometric model %N(c) = 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 th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897705/ https://www.ncbi.nlm.nih.gov/pubmed/29681908 http://dx.doi.org/10.3389/fpls.2018.00406 |
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author | Hoogmoed, Marianne Sadras, Victor O. |
author_facet | Hoogmoed, Marianne Sadras, Victor O. |
author_sort | Hoogmoed, Marianne |
collection | PubMed |
description | Nitrogen dilution curves relate a crop’s critical nitrogen concentration (%N(c)) to biomass (W) according to the allometric model %N(c) = 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 %N(c) of wheat crops. We compared models where %N(c) was plotted against biomass, growth stage and thermal time. The models were similarly scattered. Residuals of the %N(c) - biomass model at anthesis were positively related to biomass, stem:biomass ratio, Δ(13)C 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. |
format | Online Article Text |
id | pubmed-5897705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58977052018-04-20 Water Stress Scatters Nitrogen Dilution Curves in Wheat Hoogmoed, Marianne Sadras, Victor O. Front Plant Sci Plant Science Nitrogen dilution curves relate a crop’s critical nitrogen concentration (%N(c)) to biomass (W) according to the allometric model %N(c) = 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 %N(c) of wheat crops. We compared models where %N(c) was plotted against biomass, growth stage and thermal time. The models were similarly scattered. Residuals of the %N(c) - biomass model at anthesis were positively related to biomass, stem:biomass ratio, Δ(13)C 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. Frontiers Media S.A. 2018-04-06 /pmc/articles/PMC5897705/ /pubmed/29681908 http://dx.doi.org/10.3389/fpls.2018.00406 Text en Copyright © 2018 Hoogmoed and Sadras. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Hoogmoed, Marianne Sadras, Victor O. Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title | Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title_full | Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title_fullStr | Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title_full_unstemmed | Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title_short | Water Stress Scatters Nitrogen Dilution Curves in Wheat |
title_sort | water stress scatters nitrogen dilution curves in wheat |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897705/ https://www.ncbi.nlm.nih.gov/pubmed/29681908 http://dx.doi.org/10.3389/fpls.2018.00406 |
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