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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...

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Detalles Bibliográficos
Autores principales: Li, Wei, Zhou, Xiaonan, Yu, Kang, Zhang, Zhen, Liu, Yang, Hu, Naiyue, Liu, Ying, Yao, Chunsheng, Yang, Xiaoguang, Wang, Zhimin, Zhang, Yinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
Descripción
Sumario: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.