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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Integrace signálu a epigenetické reprogramování pro produktivitu rostlin</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Agricultural and Forest Meteorology

ISSN

0168-1923

e-ISSN

—

Svazek periodika

307

Číslo periodika v rámci svazku

SEP

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

17

Strana od-do

108494

Kód UT WoS článku

000682515100017

EID výsledku v databázi Scopus

2-s2.0-85108077560