Estimating Rice Panicle Temperature with Three-Layer Model
Rice panicle temperature (Tp) is a key factor for studying high temperature impacts on spikelet sterility. Comparing with measuring Tp by hand, a Tp simulation model could obtain Tp data readily. The two-layer energy budget model which divides the soil layer and canopy layer was widely used to predi...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2020/6468909 |
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| author | Yanyan Wang Hiroki Oue Zhijun Luo Ming Chen Shiyu Liu Chunhuo Zhou Xiaowu He |
| author_facet | Yanyan Wang Hiroki Oue Zhijun Luo Ming Chen Shiyu Liu Chunhuo Zhou Xiaowu He |
| author_sort | Yanyan Wang |
| collection | DOAJ |
| description | Rice panicle temperature (Tp) is a key factor for studying high temperature impacts on spikelet sterility. Comparing with measuring Tp by hand, a Tp simulation model could obtain Tp data readily. The two-layer energy budget model which divides the soil layer and canopy layer was widely used to predict rice canopy temperature (Tc), but panicle existed mostly in the upper layer canopy, and we have proved that Tc was different from the upper layer canopy temperature (Tc1), and the upper layer must be separated from the whole canopy for the purpose of estimating Tp. Thus, we developed the three-layer model, contained upper canopy layer with panicle (50–100 cm), lower rice canopy layer (10–40 cm), and water surface layer (≤10 cm) to estimate Tp with general meteorological and vegetation growth data. There were two steps to estimate Tp. The first step was calculating Tc1 and lower layer canopy temperature (Tc2) by solving heat balance equations with canopy resistances. And the second step was estimating Tp with following parameters: (a) the inclination factors of leaves and panicles (F1, F2, and Fp) which were decided by fitting the calculated transmissivity of downward solar radiation (TDSR) to the measured TDSR, (b) the aerodynamic resistance between the panicle and atmosphere (rap) denoted by wind speed, (c) the panicle resistance for transpiration (rp) denoted by days after heading, and (d) air temperature and humidity at the panicle’s height (Tac1 and eac1) calculated from the resistances of the pathways of sensible and latent heat fluxes in accordance with Ohm’s law. The model simulated fairly well the Tc1, Tc2, and Tp with root mean square errors (RMSEs) of 0.76°C, 0.75°C, and 0.81°C, respectively, where RMSE of measured Tp and predicted Tp by integrated micrometeorology model for panicle and canopy temperature (IM2PACT) including two-layer model was 1.27°C. This model was validated well by two other rice cultivars, and thus, it demonstrated the three-layer model was a new feasible way to estimate Tp. |
| format | Article |
| id | doaj-art-e1f80ca503864cfe864e85a173b7f295 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
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| series | Advances in Meteorology |
| spelling | doaj-art-e1f80ca503864cfe864e85a173b7f2952025-08-20T02:21:38ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/64689096468909Estimating Rice Panicle Temperature with Three-Layer ModelYanyan Wang0Hiroki Oue1Zhijun Luo2Ming Chen3Shiyu Liu4Chunhuo Zhou5Xiaowu He6Jiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological Development Zone, Nanchang, 330045 Jiangxi, ChinaFaculty of Agriculture, Ehime University, 3-5-7 Tarumi, Matsuyama, Ehime 7908566, JapanJiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological Development Zone, Nanchang, 330045 Jiangxi, ChinaHunan University, Lushan Road (S) Yuelu District, Changsha, Hunan 410082, ChinaJiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological Development Zone, Nanchang, 330045 Jiangxi, ChinaJiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological Development Zone, Nanchang, 330045 Jiangxi, ChinaJiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological Development Zone, Nanchang, 330045 Jiangxi, ChinaRice panicle temperature (Tp) is a key factor for studying high temperature impacts on spikelet sterility. Comparing with measuring Tp by hand, a Tp simulation model could obtain Tp data readily. The two-layer energy budget model which divides the soil layer and canopy layer was widely used to predict rice canopy temperature (Tc), but panicle existed mostly in the upper layer canopy, and we have proved that Tc was different from the upper layer canopy temperature (Tc1), and the upper layer must be separated from the whole canopy for the purpose of estimating Tp. Thus, we developed the three-layer model, contained upper canopy layer with panicle (50–100 cm), lower rice canopy layer (10–40 cm), and water surface layer (≤10 cm) to estimate Tp with general meteorological and vegetation growth data. There were two steps to estimate Tp. The first step was calculating Tc1 and lower layer canopy temperature (Tc2) by solving heat balance equations with canopy resistances. And the second step was estimating Tp with following parameters: (a) the inclination factors of leaves and panicles (F1, F2, and Fp) which were decided by fitting the calculated transmissivity of downward solar radiation (TDSR) to the measured TDSR, (b) the aerodynamic resistance between the panicle and atmosphere (rap) denoted by wind speed, (c) the panicle resistance for transpiration (rp) denoted by days after heading, and (d) air temperature and humidity at the panicle’s height (Tac1 and eac1) calculated from the resistances of the pathways of sensible and latent heat fluxes in accordance with Ohm’s law. The model simulated fairly well the Tc1, Tc2, and Tp with root mean square errors (RMSEs) of 0.76°C, 0.75°C, and 0.81°C, respectively, where RMSE of measured Tp and predicted Tp by integrated micrometeorology model for panicle and canopy temperature (IM2PACT) including two-layer model was 1.27°C. This model was validated well by two other rice cultivars, and thus, it demonstrated the three-layer model was a new feasible way to estimate Tp.http://dx.doi.org/10.1155/2020/6468909 |
| spellingShingle | Yanyan Wang Hiroki Oue Zhijun Luo Ming Chen Shiyu Liu Chunhuo Zhou Xiaowu He Estimating Rice Panicle Temperature with Three-Layer Model Advances in Meteorology |
| title | Estimating Rice Panicle Temperature with Three-Layer Model |
| title_full | Estimating Rice Panicle Temperature with Three-Layer Model |
| title_fullStr | Estimating Rice Panicle Temperature with Three-Layer Model |
| title_full_unstemmed | Estimating Rice Panicle Temperature with Three-Layer Model |
| title_short | Estimating Rice Panicle Temperature with Three-Layer Model |
| title_sort | estimating rice panicle temperature with three layer model |
| url | http://dx.doi.org/10.1155/2020/6468909 |
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