Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument
Leaf water content (LWC) is a crucial physiological parameter that plays a limiting role in the efficiency of photosynthesis and biomass production in many plants. This study investigated the use of diffuse reflectance near-infrared spectroscopy (NIRS) for the rapid prediction of the gravimetric LWC...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Eng |
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| Online Access: | https://www.mdpi.com/2673-4117/4/2/70 |
| _version_ | 1797595008865402880 |
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| author | Joel B. Johnson |
| author_facet | Joel B. Johnson |
| author_sort | Joel B. Johnson |
| collection | DOAJ |
| description | Leaf water content (LWC) is a crucial physiological parameter that plays a limiting role in the efficiency of photosynthesis and biomass production in many plants. This study investigated the use of diffuse reflectance near-infrared spectroscopy (NIRS) for the rapid prediction of the gravimetric LWC in eucalypt leaves from <i>Eucalyptus</i> and <i>Corymbia</i> genera. The best-performing model for LWC gave a R<sup>2</sup><sub>pred</sub> of 0.85 and RMSEP of 2.32% for an independent test set, indicating that the handheld NIR instrument could predict the LWC with a high level of accuracy. The use of support vector regression gave slightly more accurate results compared with partial least squares regression. Prediction models were also developed for leaf thickness, although these were somewhat less accurate (R<sup>2</sup><sub>pred</sub> of 0.58; RMSEP of 2.7 µm). Nevertheless, the results suggest that handheld NIR instruments may be useful for in-field screening of LWC and leaf thickness in Australian eucalypt species. As an example of its use, the NIR method was applied for rapid analysis of the LWC and leaf thickness of every leaf found on an <i>E. populnea</i> sapling. |
| first_indexed | 2024-03-11T02:30:34Z |
| format | Article |
| id | doaj.art-2df618a444334ccabfedd75f40d6854f |
| institution | Directory Open Access Journal |
| issn | 2673-4117 |
| language | English |
| last_indexed | 2024-03-11T02:30:34Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Eng |
| spelling | doaj.art-2df618a444334ccabfedd75f40d6854f2023-11-18T10:14:55ZengMDPI AGEng2673-41172023-04-01421198120910.3390/eng4020070Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS InstrumentJoel B. Johnson0School of Health, Medical and Applied Sciences, Central Queensland University, North Rockhampton, QLD 4701, AustraliaLeaf water content (LWC) is a crucial physiological parameter that plays a limiting role in the efficiency of photosynthesis and biomass production in many plants. This study investigated the use of diffuse reflectance near-infrared spectroscopy (NIRS) for the rapid prediction of the gravimetric LWC in eucalypt leaves from <i>Eucalyptus</i> and <i>Corymbia</i> genera. The best-performing model for LWC gave a R<sup>2</sup><sub>pred</sub> of 0.85 and RMSEP of 2.32% for an independent test set, indicating that the handheld NIR instrument could predict the LWC with a high level of accuracy. The use of support vector regression gave slightly more accurate results compared with partial least squares regression. Prediction models were also developed for leaf thickness, although these were somewhat less accurate (R<sup>2</sup><sub>pred</sub> of 0.58; RMSEP of 2.7 µm). Nevertheless, the results suggest that handheld NIR instruments may be useful for in-field screening of LWC and leaf thickness in Australian eucalypt species. As an example of its use, the NIR method was applied for rapid analysis of the LWC and leaf thickness of every leaf found on an <i>E. populnea</i> sapling.https://www.mdpi.com/2673-4117/4/2/70dry matter contentin-field analysisnear infrared spectroscopy (NIRS) |
| spellingShingle | Joel B. Johnson Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument Eng dry matter content in-field analysis near infrared spectroscopy (NIRS) |
| title | Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument |
| title_full | Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument |
| title_fullStr | Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument |
| title_full_unstemmed | Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument |
| title_short | Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument |
| title_sort | rapid prediction of leaf water content in eucalypt leaves using a handheld nirs instrument |
| topic | dry matter content in-field analysis near infrared spectroscopy (NIRS) |
| url | https://www.mdpi.com/2673-4117/4/2/70 |
| work_keys_str_mv | AT joelbjohnson rapidpredictionofleafwatercontentineucalyptleavesusingahandheldnirsinstrument |