An attempt to establish a synthetic model of photosynthesis-transpiration based on stomatal behavior for maize and soybean plants grown in field
A synthetic model of photosynthesis-transpiration was established based on a comprehensive consideration of models of CO 2 and H 2O fluxes controlled by stomata of plant leaves.The synthetic model was developed by introducing the internal conductance to CO 2 assimilation, g ic, and the general equat...
Saved in:
Published in | Journal of plant physiology Vol. 158; no. 7; pp. 861 - 874 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Jena
Elsevier GmbH
2001
Elsevier |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A synthetic model of photosynthesis-transpiration was established based on a comprehensive consideration of models of CO
2 and H
2O fluxes controlled by stomata of plant leaves.The synthetic model was developed by introducing the internal conductance to CO
2 assimilation,
g
ic, and the general equation of stomatal conductance model to H
2O diffusion,
g
sw =
g
0+a
1
A
m
f(
D
s)/(
C
s-Γ), into models of CO
2 and H
2O diffusion through the plant leaves stomata. In the above expression,
g
0 and a
1 are coefficients,
C
s ambient CO
2 concentration at leaf surface, Γ CO
2 compensation point, and
f(
D
s) the general function describing the response of stomatal conductance to humidity. Using the data observed in maize (
Zea mays L.) and soybean (
Glycine max Merr.) plants grown in the field, the parameters in the model were identified, and the applicability of the model was examined. The verification indicated that the developed model could be used to estimate net assimilation rate, transpiration rate, and water use efficiency with a high enough level of precision. The examination also showed that when
f(
D
s) =
h
s or
f(
D
s) = (1+
D
s/
D
0)
−1 was employed, the estimation precision of the synthetic model was highest. In the study, the parameter
g
ic was estimated by means of a linear function of
Q
P because it was shown to be mostly correlated with photosynthetic photon flux,
Q
P, among various environmental factors. |
---|---|
ISSN: | 0176-1617 1618-1328 |
DOI: | 10.1078/0176-1617-00177 |