Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy
High-throughput and large-scale data are part of a new era of plant remote sensing science. Quantification of the yield, energetic content, and chlorophyll <i>a</i> fluorescence (ChlF) remains laborious and is of great interest to physiologists and photobiologists. We propose a new metho...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/11/18/2406 |
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| author | Renan Falcioni Thaise Moriwaki Werner Camargos Antunes Marcos Rafael Nanni |
| author_facet | Renan Falcioni Thaise Moriwaki Werner Camargos Antunes Marcos Rafael Nanni |
| author_sort | Renan Falcioni |
| collection | DOAJ |
| description | High-throughput and large-scale data are part of a new era of plant remote sensing science. Quantification of the yield, energetic content, and chlorophyll <i>a</i> fluorescence (ChlF) remains laborious and is of great interest to physiologists and photobiologists. We propose a new method that is efficient and applicable for estimating photosynthetic performance and photosystem status using remote sensing hyperspectroscopy with visible, near-infrared and shortwave spectroscopy (Vis-NIR-SWIR) based on rapid multivariate partial least squares regression (PLSR) as a tool to estimate biomass production, calorimetric energy content and chlorophyll <i>a</i> fluorescence parameters. The results showed the presence of typical inflections associated with chemical and structural components present in plants, enabling us to obtain PLSR models with R<sup>2</sup><sub>P</sub> and RPD<sub>P</sub> values greater than >0.82 and 3.33, respectively. The most important wavelengths were well distributed into 400 (violet), 440 (blue), 550 (green), 670 (red), 700–750 (red edge), 1330 (NIR), 1450 (SWIR), 1940 (SWIR) and 2200 (SWIR) nm operating ranges of the spectrum. Thus, we report a methodology to simultaneously determine fifteen attributes (i.e., yield (biomass), ΔH°area, ΔH°mass, Fv/Fm, Fv’/Fm’, ETR, NPQ, qP, qN, ΦPSII, P, D, SFI, PI<sub>(abs)</sub>, D.F.) with high accuracy and precision and with excellent predictive capacity for most of them. These results are promising for plant physiology studies and will provide a better understanding of photosystem dynamics in tobacco plants when a large number of samples must be evaluated within a short period and with remote acquisition data. |
| first_indexed | 2024-03-09T22:47:51Z |
| format | Article |
| id | doaj.art-dc27474c38254561a819d7944104c1e0 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T22:47:51Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-dc27474c38254561a819d7944104c1e02023-11-23T18:27:21ZengMDPI AGPlants2223-77472022-09-011118240610.3390/plants11182406Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR HyperspectroscopyRenan Falcioni0Thaise Moriwaki1Werner Camargos Antunes2Marcos Rafael Nanni3Programa de Pós-Graduação em Agronomia, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, BrazilPrograma de Pós-Graduação em Agronomia, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, BrazilPrograma de Pós-Graduação em Agronomia, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, BrazilPrograma de Pós-Graduação em Agronomia, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, BrazilHigh-throughput and large-scale data are part of a new era of plant remote sensing science. Quantification of the yield, energetic content, and chlorophyll <i>a</i> fluorescence (ChlF) remains laborious and is of great interest to physiologists and photobiologists. We propose a new method that is efficient and applicable for estimating photosynthetic performance and photosystem status using remote sensing hyperspectroscopy with visible, near-infrared and shortwave spectroscopy (Vis-NIR-SWIR) based on rapid multivariate partial least squares regression (PLSR) as a tool to estimate biomass production, calorimetric energy content and chlorophyll <i>a</i> fluorescence parameters. The results showed the presence of typical inflections associated with chemical and structural components present in plants, enabling us to obtain PLSR models with R<sup>2</sup><sub>P</sub> and RPD<sub>P</sub> values greater than >0.82 and 3.33, respectively. The most important wavelengths were well distributed into 400 (violet), 440 (blue), 550 (green), 670 (red), 700–750 (red edge), 1330 (NIR), 1450 (SWIR), 1940 (SWIR) and 2200 (SWIR) nm operating ranges of the spectrum. Thus, we report a methodology to simultaneously determine fifteen attributes (i.e., yield (biomass), ΔH°area, ΔH°mass, Fv/Fm, Fv’/Fm’, ETR, NPQ, qP, qN, ΦPSII, P, D, SFI, PI<sub>(abs)</sub>, D.F.) with high accuracy and precision and with excellent predictive capacity for most of them. These results are promising for plant physiology studies and will provide a better understanding of photosystem dynamics in tobacco plants when a large number of samples must be evaluated within a short period and with remote acquisition data.https://www.mdpi.com/2223-7747/11/18/2406hyperspectral reflectancephotochemical analysisPLSR analysispredictive model |
| spellingShingle | Renan Falcioni Thaise Moriwaki Werner Camargos Antunes Marcos Rafael Nanni Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy Plants hyperspectral reflectance photochemical analysis PLSR analysis predictive model |
| title | Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy |
| title_full | Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy |
| title_fullStr | Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy |
| title_full_unstemmed | Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy |
| title_short | Rapid Quantification Method for Yield, Calorimetric Energy and Chlorophyll <i>a</i> Fluorescence Parameters in <i>Nicotiana tabacum</i> L. Using Vis-NIR-SWIR Hyperspectroscopy |
| title_sort | rapid quantification method for yield calorimetric energy and chlorophyll i a i fluorescence parameters in i nicotiana tabacum i l using vis nir swir hyperspectroscopy |
| topic | hyperspectral reflectance photochemical analysis PLSR analysis predictive model |
| url | https://www.mdpi.com/2223-7747/11/18/2406 |
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