Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis

The nondestructive assessment of nitrogen status in strawberry was performed to analyze its growth and provide guidance for precise management of N fertilizer using Fourier transform near-infrared reflectance (FT-NIR) spectroscopy with leaf spectral reflectance. The leaf soil plant analysis developm...

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Autores principales:	Gangshan Wu, Qiyou Jiang, Yuhao Bai, Chongfeng Tian, Wei Pan, Xinxin Jin, Baohua Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	FT-NIR spectroscopy cultivar variation cultivar models SPAD value N fertilizer management Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/fe6a0bd3941f4a6fa1cb1ec06da55666
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spelling	oai:doaj.org-article:fe6a0bd3941f4a6fa1cb1ec06da556662021-11-19T00:04:00ZNitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis2169-353610.1109/ACCESS.2020.3007862https://doaj.org/article/fe6a0bd3941f4a6fa1cb1ec06da556662020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9136675/https://doaj.org/toc/2169-3536The nondestructive assessment of nitrogen status in strawberry was performed to analyze its growth and provide guidance for precise management of N fertilizer using Fourier transform near-infrared reflectance (FT-NIR) spectroscopy with leaf spectral reflectance. The leaf soil plant analysis development (SPAD) value is considered as an indicator that indirectly reflects the nitrogen status in strawberry. However, the variation of cultivars leads to differences in the cell structure and light scattering and/or reflection effects of strawberry leaves during strawberry N status assessment, which means, leaf SPAD threshold value and the specific N demand will vary with different cultivars. As a result, accurate measurement of SPAD values and N status in strawberries with multiple cultivars is still challenging. In this study, the individual-cultivar, hybrid-cultivar, and multi-cultivar models were developed for the determination of SPAD values, and the performance of the models in lessening the impact of cultivar variation was studied and compared. The individual-cultivar model was constructed on the basis of a single cultivar of strawberry leaf. The hybrid-cultivar model was developed by merging the spectrum reflectance data and SPAD values of all studied leaf samples, and a multi-cultivar model was built in combination with cultivar identification, individual-cultivar models, and model search strategy. The results indicated that the multi-cultivar model was superior to the other two models for SPAD value estimation of strawberry leaves from different cultivars, with the overall <italic>Rp</italic> and RMSEP values of 0.966 and 0.468, respectively. We demonstrate that the leaf N content of strawberry is profoundly affected by cultivar variation, and establishing a multi-cultivar model is useful in monitoring the nitrogen status and guiding N fertilization recommendations for different strawberry cultivars.Gangshan WuQiyou JiangYuhao BaiChongfeng TianWei PanXinxin JinBaohua ZhangIEEEarticleFT-NIR spectroscopycultivar variationcultivar modelsSPAD valueN fertilizer managementElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 126039-126050 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	FT-NIR spectroscopy cultivar variation cultivar models SPAD value N fertilizer management Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	FT-NIR spectroscopy cultivar variation cultivar models SPAD value N fertilizer management Electrical engineering. Electronics. Nuclear engineering TK1-9971 Gangshan Wu Qiyou Jiang Yuhao Bai Chongfeng Tian Wei Pan Xinxin Jin Baohua Zhang Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
description	The nondestructive assessment of nitrogen status in strawberry was performed to analyze its growth and provide guidance for precise management of N fertilizer using Fourier transform near-infrared reflectance (FT-NIR) spectroscopy with leaf spectral reflectance. The leaf soil plant analysis development (SPAD) value is considered as an indicator that indirectly reflects the nitrogen status in strawberry. However, the variation of cultivars leads to differences in the cell structure and light scattering and/or reflection effects of strawberry leaves during strawberry N status assessment, which means, leaf SPAD threshold value and the specific N demand will vary with different cultivars. As a result, accurate measurement of SPAD values and N status in strawberries with multiple cultivars is still challenging. In this study, the individual-cultivar, hybrid-cultivar, and multi-cultivar models were developed for the determination of SPAD values, and the performance of the models in lessening the impact of cultivar variation was studied and compared. The individual-cultivar model was constructed on the basis of a single cultivar of strawberry leaf. The hybrid-cultivar model was developed by merging the spectrum reflectance data and SPAD values of all studied leaf samples, and a multi-cultivar model was built in combination with cultivar identification, individual-cultivar models, and model search strategy. The results indicated that the multi-cultivar model was superior to the other two models for SPAD value estimation of strawberry leaves from different cultivars, with the overall <italic>Rp</italic> and RMSEP values of 0.966 and 0.468, respectively. We demonstrate that the leaf N content of strawberry is profoundly affected by cultivar variation, and establishing a multi-cultivar model is useful in monitoring the nitrogen status and guiding N fertilization recommendations for different strawberry cultivars.
format	article
author	Gangshan Wu Qiyou Jiang Yuhao Bai Chongfeng Tian Wei Pan Xinxin Jin Baohua Zhang
author_facet	Gangshan Wu Qiyou Jiang Yuhao Bai Chongfeng Tian Wei Pan Xinxin Jin Baohua Zhang
author_sort	Gangshan Wu
title	Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
title_short	Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
title_full	Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
title_fullStr	Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
title_full_unstemmed	Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis
title_sort	nitrogen status assessment for multiple cultivars of strawberries using portable ft-nir spectrometers combined with cultivar recognition and multivariate analysis
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/fe6a0bd3941f4a6fa1cb1ec06da55666
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_version_	1718420706051489792

Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis

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