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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F21%3A00124296" target="_blank" >RIV/00216224:14740/21:00124296 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0168192321001775?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0168192321001775?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.agrformet.2021.108494" target="_blank" >10.1016/j.agrformet.2021.108494</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Project

<a href="/en/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Signal integration and epigenetic reprograming for plant productivity</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Agricultural and Forest Meteorology

ISSN

0168-1923

e-ISSN

—

Volume of the periodical

307

Issue of the periodical within the volume

SEP

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

17

Pages from-to

108494

UT code for WoS article

000682515100017

EID of the result in the Scopus database

2-s2.0-85108077560