A simple new method to determine leaf specific heat capacity
Abstract Background Quantifying plant transpiration via thermal imaging is desirable for applications in agriculture, plant breeding, and plant science. However, thermal imaging under natural non-steady state conditions is currently limited by the difficulty of quantifying thermal properties of leav...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | Plant Methods |
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| Online Access: | https://doi.org/10.1186/s13007-025-01326-3 |
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| author | Jiayu Zhang Elias Kaiser Hanyi Zhang Leo F. M. Marcelis Silvere Vialet-Chabrand |
| author_facet | Jiayu Zhang Elias Kaiser Hanyi Zhang Leo F. M. Marcelis Silvere Vialet-Chabrand |
| author_sort | Jiayu Zhang |
| collection | DOAJ |
| description | Abstract Background Quantifying plant transpiration via thermal imaging is desirable for applications in agriculture, plant breeding, and plant science. However, thermal imaging under natural non-steady state conditions is currently limited by the difficulty of quantifying thermal properties of leaves, especially specific heat capacity (Cp). Existing literature offers only rough estimates of Cp and lacks simple and accurate methods to determine it. Results We developed a non-invasive method to quantify k (the product of leaf thickness (lt), leaf density(ρ), and Cp), by fitting a leaf energy balance model to a leaf temperature (Tleaf) transient during and after a ~ 10 s light pulse. Cp was then estimated by dividing k by lt*ρ. Using this method, we quantified Cp for 13 horticultural and tropical plant species, and explored the relationship between Cp and leaf water content, specific leaf area and Tleaf response rate during the light pulse. Values of Cp ranged between 3200–4000 J kg−1 K−1, and were positively correlated with leaf water content. In species with very thick leaves, such as Phalaenopsis amabilis, we found leaf thickness to be a major factor in the temperature response to a short light pulse. Conclusions Our method allows for easy determination of leaf Cp of different species, and may help pave the way to apply more accurate thermal imaging under natural non-steady state conditions. |
| format | Article |
| id | doaj-art-04733dd75ed34c23a43324de5285b422 |
| institution | Kabale University |
| issn | 1746-4811 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Plant Methods |
| spelling | doaj-art-04733dd75ed34c23a43324de5285b4222025-01-26T12:35:42ZengBMCPlant Methods1746-48112025-01-0121111310.1186/s13007-025-01326-3A simple new method to determine leaf specific heat capacityJiayu Zhang0Elias Kaiser1Hanyi Zhang2Leo F. M. Marcelis3Silvere Vialet-Chabrand4Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University & ResearchHorticulture and Product Physiology, Department of Plant Sciences, Wageningen University & ResearchHorticulture and Product Physiology, Department of Plant Sciences, Wageningen University & ResearchHorticulture and Product Physiology, Department of Plant Sciences, Wageningen University & ResearchHorticulture and Product Physiology, Department of Plant Sciences, Wageningen University & ResearchAbstract Background Quantifying plant transpiration via thermal imaging is desirable for applications in agriculture, plant breeding, and plant science. However, thermal imaging under natural non-steady state conditions is currently limited by the difficulty of quantifying thermal properties of leaves, especially specific heat capacity (Cp). Existing literature offers only rough estimates of Cp and lacks simple and accurate methods to determine it. Results We developed a non-invasive method to quantify k (the product of leaf thickness (lt), leaf density(ρ), and Cp), by fitting a leaf energy balance model to a leaf temperature (Tleaf) transient during and after a ~ 10 s light pulse. Cp was then estimated by dividing k by lt*ρ. Using this method, we quantified Cp for 13 horticultural and tropical plant species, and explored the relationship between Cp and leaf water content, specific leaf area and Tleaf response rate during the light pulse. Values of Cp ranged between 3200–4000 J kg−1 K−1, and were positively correlated with leaf water content. In species with very thick leaves, such as Phalaenopsis amabilis, we found leaf thickness to be a major factor in the temperature response to a short light pulse. Conclusions Our method allows for easy determination of leaf Cp of different species, and may help pave the way to apply more accurate thermal imaging under natural non-steady state conditions.https://doi.org/10.1186/s13007-025-01326-3Heat capacityEnergy balanceThermal imagingDynamic environmentNatural variation |
| spellingShingle | Jiayu Zhang Elias Kaiser Hanyi Zhang Leo F. M. Marcelis Silvere Vialet-Chabrand A simple new method to determine leaf specific heat capacity Plant Methods Heat capacity Energy balance Thermal imaging Dynamic environment Natural variation |
| title | A simple new method to determine leaf specific heat capacity |
| title_full | A simple new method to determine leaf specific heat capacity |
| title_fullStr | A simple new method to determine leaf specific heat capacity |
| title_full_unstemmed | A simple new method to determine leaf specific heat capacity |
| title_short | A simple new method to determine leaf specific heat capacity |
| title_sort | simple new method to determine leaf specific heat capacity |
| topic | Heat capacity Energy balance Thermal imaging Dynamic environment Natural variation |
| url | https://doi.org/10.1186/s13007-025-01326-3 |
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