Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoogmoed, Marianne, Sadras, Victor O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
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
_version_ 1783314002397364224
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
work_keys_str_mv AT hoogmoedmarianne waterstressscattersnitrogendilutioncurvesinwheat
AT sadrasvictoro waterstressscattersnitrogendilutioncurvesinwheat