Other formats:
BibTeX
LaTeX
RIS
@article{1837266,
author = {Zhang, Y. and Henke, Michael and BuckandSorlin, G.H. and Li, Y.M. and Xu, H. and Liu, X.A. and Li, T.L.},
article_location = {AMSTERDAM},
article_number = {SEP},
doi = {http://dx.doi.org/10.1016/j.agrformet.2021.108494},
keywords = {Fspm; Light climate; Thermal modelling; Photosynthesis modelling; Groimp; Greenhouse model},
language = {eng},
issn = {0168-1923},
journal = {Agricultural and Forest Meteorology},
title = {Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model},
url = {https://www.sciencedirect.com/science/article/pii/S0168192321001775?via%3Dihub},
volume = {307},
year = {2021}
}
TY - JOUR
ID - 1837266
AU - Zhang, Y. - Henke, Michael - Buck-Sorlin, G.H. - Li, Y.M. - Xu, H. - Liu, X.A. - Li, T.L.
PY - 2021
TI - Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model
JF - Agricultural and Forest Meteorology
VL - 307
IS - SEP
SP - 108494
EP - 108494
PB - Elsevier
SN - 01681923
KW - Fspm
KW - Light climate
KW - Thermal modelling
KW - Photosynthesis modelling
KW - Groimp
KW - Greenhouse model
UR - https://www.sciencedirect.com/science/article/pii/S0168192321001775?via%3Dihub
N2 - In order to determine the effects of leaf temperature, gas exchange, and photosynthesis on plant growth and productivity under greenhouse conditions, predictions at a high spatial and temporal resolution are essential. In addition, simulations of light and thermal microclimate conditions are needed for the modelling of physiological processes. To the best of our knowledge, these physiological processes have not been addressed so far with respect to their spatiotemporal distribution and dynamics in Chinese greenhouse. In the present study, we developed a structural model for a Chinese Liaoshen-solar greenhouse (LSG) and a tomato functional-structural plant model (FSPM), which combined a greenhouse energy balance model with the mechanistic understanding of stomatal function and leaf photosynthesis. Photosynthetic limitation analysises were also carried out using this model. Leaf temperature and stomatal conductance related to the photosynthetic process were simulated at high resolution. Two scenarios (sunny and cloudy) were considered in the simulation and results were verified against field data. According to our findings, our model was able to predict net photosynthesis for each individual tomato leaflet more accurately and in more detail than the most commonly used approaches, which consider a constant leaf temperature of 25 degrees C. The present study examined the effect of different limiting factors on crop photosynthesis under external climate change conditions. Our results showed that leaf temperature is a key factor that limits the net photosynthetic rate under cloudy conditions. The modelling approach described herein provides a basis for a precise simulation of greenhouse crops, which could be used in the future to provide guidance during the production process of various plant species in solar greenhouses with different structures.
ER -
ZHANG, Y., Michael HENKE, G.H. BUCK-SORLIN, Y.M. LI, H. XU, X.A. LIU and T.L. LI. Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model. \textit{Agricultural and Forest Meteorology}. AMSTERDAM: Elsevier, 2021, vol.~307, SEP, p.~108494-108510. ISSN~0168-1923. Available from: https://dx.doi.org/10.1016/j.agrformet.2021.108494.
|
