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Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes
Chlorophyll fluorescence parameter of F(v)/F(m), as an important index for evaluating crop yields and biomass, is key to guide crop management. However, the shortage of good hyperspectral data can hinder the accurate assessment of wheat F(v)/F(m). In this research, the relationships between wheat ca...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015031/ https://www.ncbi.nlm.nih.gov/pubmed/29934625 http://dx.doi.org/10.1038/s41598-018-27902-3 |
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author | Tan, Chang-Wei Wang, Dun-Liang Zhou, Jian Du, Ying Luo, Ming Zhang, Yong-Jian Guo, Wen-Shan |
author_facet | Tan, Chang-Wei Wang, Dun-Liang Zhou, Jian Du, Ying Luo, Ming Zhang, Yong-Jian Guo, Wen-Shan |
author_sort | Tan, Chang-Wei |
collection | PubMed |
description | Chlorophyll fluorescence parameter of F(v)/F(m), as an important index for evaluating crop yields and biomass, is key to guide crop management. However, the shortage of good hyperspectral data can hinder the accurate assessment of wheat F(v)/F(m). In this research, the relationships between wheat canopy F(v)/F(m) and in-situ hyperspectral vegetation indexes were explored to develop a strategy for accurate F(v)/F(m) assessment. F(v)/F(m) had the highest coefficients with normalized pigments chlorophyll ratio index (NPCI) and the medium terrestrial chlorophyll index (MTCI). Both NPCI and MTCI were increased with the increase in F(v)/F(m). However, NPCI value ceased to increase as F(v)/F(m) reached 0.61. MTCI had a descending trend when F(v)/F(m) value was higher than 0.61. A piecewise F(v)/F(m) assessment model with NPCI and MTCI regression variables was established when F(v)/F(m) value was ≤0.61 and >0.61, respectively. The model increased the accuracy of assessment by up to 16% as compared with the F(v)/F(m) assessment model based on a single vegetation index. Our study indicated that it was feasible to apply NPCI and MTCI to assess wheat F(v)/F(m) and to establish a piecewise F(v)/F(m) assessment model that can overcome the limitations from vegetation index saturation under high F(v)/F(m) value. |
format | Online Article Text |
id | pubmed-6015031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60150312018-07-06 Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes Tan, Chang-Wei Wang, Dun-Liang Zhou, Jian Du, Ying Luo, Ming Zhang, Yong-Jian Guo, Wen-Shan Sci Rep Article Chlorophyll fluorescence parameter of F(v)/F(m), as an important index for evaluating crop yields and biomass, is key to guide crop management. However, the shortage of good hyperspectral data can hinder the accurate assessment of wheat F(v)/F(m). In this research, the relationships between wheat canopy F(v)/F(m) and in-situ hyperspectral vegetation indexes were explored to develop a strategy for accurate F(v)/F(m) assessment. F(v)/F(m) had the highest coefficients with normalized pigments chlorophyll ratio index (NPCI) and the medium terrestrial chlorophyll index (MTCI). Both NPCI and MTCI were increased with the increase in F(v)/F(m). However, NPCI value ceased to increase as F(v)/F(m) reached 0.61. MTCI had a descending trend when F(v)/F(m) value was higher than 0.61. A piecewise F(v)/F(m) assessment model with NPCI and MTCI regression variables was established when F(v)/F(m) value was ≤0.61 and >0.61, respectively. The model increased the accuracy of assessment by up to 16% as compared with the F(v)/F(m) assessment model based on a single vegetation index. Our study indicated that it was feasible to apply NPCI and MTCI to assess wheat F(v)/F(m) and to establish a piecewise F(v)/F(m) assessment model that can overcome the limitations from vegetation index saturation under high F(v)/F(m) value. Nature Publishing Group UK 2018-06-22 /pmc/articles/PMC6015031/ /pubmed/29934625 http://dx.doi.org/10.1038/s41598-018-27902-3 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tan, Chang-Wei Wang, Dun-Liang Zhou, Jian Du, Ying Luo, Ming Zhang, Yong-Jian Guo, Wen-Shan Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title | Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title_full | Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title_fullStr | Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title_full_unstemmed | Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title_short | Assessment of F(v)/F(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
title_sort | assessment of f(v)/f(m) absorbed by wheat canopies employing in-situ hyperspectral vegetation indexes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015031/ https://www.ncbi.nlm.nih.gov/pubmed/29934625 http://dx.doi.org/10.1038/s41598-018-27902-3 |
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