Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data
Abstract 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. T...
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Nature Portfolio
2023-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-31887-z |
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author | Yanli Lu Xiaoyu Zhang Yuezhi Cui Yaru Chao Guipei Song Caie Nie Lei Wang |
author_facet | Yanli Lu Xiaoyu Zhang Yuezhi Cui Yaru Chao Guipei Song Caie Nie Lei Wang |
author_sort | Yanli Lu |
collection | DOAJ |
description | Abstract 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. |
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issn | 2045-2322 |
language | English |
last_indexed | 2024-04-09T17:48:41Z |
publishDate | 2023-04-01 |
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spelling | doaj.art-dc2be18bfa204fbeb8a01e09666aff2e2023-04-16T11:11:21ZengNature PortfolioScientific Reports2045-23222023-04-011311910.1038/s41598-023-31887-zResponse of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral dataYanli Lu0Xiaoyu Zhang1Yuezhi Cui2Yaru Chao3Guipei Song4Caie Nie5Lei Wang6State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesInner Mongolia Agricultural UniversityInner Mongolia Agricultural UniversityState Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesState Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesState Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesState Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesAbstract 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.https://doi.org/10.1038/s41598-023-31887-z |
spellingShingle | Yanli Lu Xiaoyu Zhang Yuezhi Cui Yaru Chao Guipei Song Caie Nie Lei Wang Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-023-31887-z |
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