Cargando…
Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data
Spectral technology is theoretically effective in diagnosing N stress in maize (Zea mays L.), but its application is affected by varietal differences. In this study, the responses to N stress, leaf N spectral diagnostic models and the differences between two maize varieties were analysed. The variet...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090166/ https://www.ncbi.nlm.nih.gov/pubmed/37041196 http://dx.doi.org/10.1038/s41598-023-31887-z |
_version_ | 1785022915141435392 |
---|---|
author | Lu, Yanli Zhang, Xiaoyu Cui, Yuezhi Chao, Yaru Song, Guipei Nie, Caie Wang, Lei |
author_facet | Lu, Yanli Zhang, Xiaoyu Cui, Yuezhi Chao, Yaru Song, Guipei Nie, Caie Wang, Lei |
author_sort | Lu, Yanli |
collection | PubMed |
description | Spectral technology is theoretically effective in diagnosing N stress in maize (Zea mays L.), but its application is affected by varietal differences. In this study, the responses to N stress, leaf N spectral diagnostic models and the differences between two maize varieties were analysed. The variety “Jiyu 5817” exhibited a greater response to different N stresses at the 12-leaf stage (V12), while “Zhengdan 958” displayed a greater response in the silking stage (R1). Correlation analysis showed that the spectral bands more sensitive to leaf N content were 548–556 nm and 706–721 nm at the V12 stage in “Jiyu 5817” and 760–1142 nm at the R1 stage in “Zhengdan 958”. An N spectral diagnostic model that considers the varietal effect improves the model fit and root mean square error (RMSE) with respect to the model without it by 10.6% and 29.2%, respectively. It was concluded that the V12 stage for “Jiyu 5817” and the R1 stage for “Zhengdan 958” were the best diagnostic stages and were more sensitive to N stress, which can further guide fertilization decision-making in precision fertilization. |
format | Online Article Text |
id | pubmed-10090166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100901662023-04-13 Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data Lu, Yanli Zhang, Xiaoyu Cui, Yuezhi Chao, Yaru Song, Guipei Nie, Caie Wang, Lei Sci Rep Article Spectral technology is theoretically effective in diagnosing N stress in maize (Zea mays L.), but its application is affected by varietal differences. In this study, the responses to N stress, leaf N spectral diagnostic models and the differences between two maize varieties were analysed. The variety “Jiyu 5817” exhibited a greater response to different N stresses at the 12-leaf stage (V12), while “Zhengdan 958” displayed a greater response in the silking stage (R1). Correlation analysis showed that the spectral bands more sensitive to leaf N content were 548–556 nm and 706–721 nm at the V12 stage in “Jiyu 5817” and 760–1142 nm at the R1 stage in “Zhengdan 958”. An N spectral diagnostic model that considers the varietal effect improves the model fit and root mean square error (RMSE) with respect to the model without it by 10.6% and 29.2%, respectively. It was concluded that the V12 stage for “Jiyu 5817” and the R1 stage for “Zhengdan 958” were the best diagnostic stages and were more sensitive to N stress, which can further guide fertilization decision-making in precision fertilization. Nature Publishing Group UK 2023-04-11 /pmc/articles/PMC10090166/ /pubmed/37041196 http://dx.doi.org/10.1038/s41598-023-31887-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lu, Yanli Zhang, Xiaoyu Cui, Yuezhi Chao, Yaru Song, Guipei Nie, Caie Wang, Lei Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title | Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title_full | Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title_fullStr | Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title_full_unstemmed | Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title_short | Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
title_sort | response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090166/ https://www.ncbi.nlm.nih.gov/pubmed/37041196 http://dx.doi.org/10.1038/s41598-023-31887-z |
work_keys_str_mv | AT luyanli responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT zhangxiaoyu responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT cuiyuezhi responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT chaoyaru responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT songguipei responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT niecaie responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata AT wanglei responseofdifferentvarietiesofmaizetonitrogenstressanddiagnosisofleafnitrogenusinghyperspectraldata |