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Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes
Nitrogen (N) remobilization is a critical process that provides substantial N to winter wheat grains for improving yield productivity. Here, the remobilization of N from anthesis to maturity in two wheat cultivars under three irrigation regimes was measured and its relationship to organ N concentrat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062884/ https://www.ncbi.nlm.nih.gov/pubmed/33897747 http://dx.doi.org/10.3389/fpls.2021.657578 |
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author | Li, Wei Zhou, Xiaonan Yu, Kang Zhang, Zhen Liu, Yang Hu, Naiyue Liu, Ying Yao, Chunsheng Yang, Xiaoguang Wang, Zhimin Zhang, Yinghua |
author_facet | Li, Wei Zhou, Xiaonan Yu, Kang Zhang, Zhen Liu, Yang Hu, Naiyue Liu, Ying Yao, Chunsheng Yang, Xiaoguang Wang, Zhimin Zhang, Yinghua |
author_sort | Li, Wei |
collection | PubMed |
description | Nitrogen (N) remobilization is a critical process that provides substantial N to winter wheat grains for improving yield productivity. Here, the remobilization of N from anthesis to maturity in two wheat cultivars under three irrigation regimes was measured and its relationship to organ N concentration was examined. Based on spectral data of organ powder samples, partial least squares regression (PLSR) models were calibrated to estimate N concentration (N(mass)) and validated against laboratory-based measurements. Although spectral reflectance could accurately estimate N(mass), the PLSR-based N(mass)-spectra predictive model was found to be organ-specific, organs at the top canopy (chaff and top three leaves) received the best predictions (R(2) > 0.88). In addition, N remobilization efficiency (NRE) in the top two leaves and top third internode was highly correlated with its corresponding N concentration change (ΔN(mass)) with an R(2) of 0.90. ΔN(mass) of the top first internode (TIN1) explained 78% variation of the whole-plant NRE. This study provides a proof of concept for estimating N concentration and assessing N remobilization using hyperspectral data of individual organs, which offers a non-chemical and low-cost approach to screen germplasms for an optimal NRE in drought-resistance breeding. |
format | Online Article Text |
id | pubmed-8062884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80628842021-04-24 Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes Li, Wei Zhou, Xiaonan Yu, Kang Zhang, Zhen Liu, Yang Hu, Naiyue Liu, Ying Yao, Chunsheng Yang, Xiaoguang Wang, Zhimin Zhang, Yinghua Front Plant Sci Plant Science Nitrogen (N) remobilization is a critical process that provides substantial N to winter wheat grains for improving yield productivity. Here, the remobilization of N from anthesis to maturity in two wheat cultivars under three irrigation regimes was measured and its relationship to organ N concentration was examined. Based on spectral data of organ powder samples, partial least squares regression (PLSR) models were calibrated to estimate N concentration (N(mass)) and validated against laboratory-based measurements. Although spectral reflectance could accurately estimate N(mass), the PLSR-based N(mass)-spectra predictive model was found to be organ-specific, organs at the top canopy (chaff and top three leaves) received the best predictions (R(2) > 0.88). In addition, N remobilization efficiency (NRE) in the top two leaves and top third internode was highly correlated with its corresponding N concentration change (ΔN(mass)) with an R(2) of 0.90. ΔN(mass) of the top first internode (TIN1) explained 78% variation of the whole-plant NRE. This study provides a proof of concept for estimating N concentration and assessing N remobilization using hyperspectral data of individual organs, which offers a non-chemical and low-cost approach to screen germplasms for an optimal NRE in drought-resistance breeding. Frontiers Media S.A. 2021-04-09 /pmc/articles/PMC8062884/ /pubmed/33897747 http://dx.doi.org/10.3389/fpls.2021.657578 Text en Copyright © 2021 Li, Zhou, Yu, Zhang, Liu, Hu, Liu, Yao, Yang, Wang and Zhang. https://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(s) 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 Li, Wei Zhou, Xiaonan Yu, Kang Zhang, Zhen Liu, Yang Hu, Naiyue Liu, Ying Yao, Chunsheng Yang, Xiaoguang Wang, Zhimin Zhang, Yinghua Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title | Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title_full | Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title_fullStr | Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title_full_unstemmed | Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title_short | Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes |
title_sort | spectroscopic estimation of n concentration in wheat organs for assessing n remobilization under different irrigation regimes |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062884/ https://www.ncbi.nlm.nih.gov/pubmed/33897747 http://dx.doi.org/10.3389/fpls.2021.657578 |
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