Influences of residual stomatal conductance on the intrinsic water use efficiency of two C3 and two C4 species

Intrinsic water use efficiency ( WUE i ) is a critical parameter that encapsulates the equilibrium between carbon assimilation and the concomitant water expenditure. Enhancing the WUE i of crops is not only instrumental in bolstering their resilience to drought but also enables higher carbon fixation efficiency under conditions of scarce water resources. Improving the WUE i of crop varieties has become a major goal because water has become a critical limiting factor in crop productivity within the context of global change. The WUE i , traditionally calculated by W U E i = ( C a − C i ) / 1.6 ( C a , atmospheric CO 2 concentration; C i , intercellular CO 2 concentration), may vary from that derived from W U E i = A / g sw ( A , net photosynthetic rate; g sw , stomatal conductance to water vapor). In the study, the LI-6400 portable photosynthesis system was used for monitoring the leaf gas exchange of two C 3 (soybean and wheat) and two C 4 (maize and grain amaranth) species under changing irradiance ( I ) and CO 2 concentration conditions. One paired-sample t test was used to compare the significant differences between WUE i values calculated by different equations and the observed values. The results showed that W U E i = ( C a − C i ) / 1.6 significantly overestimated the calculated WUE i values than their corresponding observations by at least 17.78 %, 23.20 %, 9.07 %, and 14.26 % in light-response of WUE i ( WUE i –I ) and by at least 23.28 %, 22.02 %, 13.44 %, and 12.59 % in CO 2 -response of WUE i ( WUE i – C i ) curves for soybean, wheat, maize, and grain amaranth, respectively. However, the relationship between net photosynthetic rate ( A ) and stomatal conductance to CO 2 ( g sc ) can be improved by incorporating an empirical slope ( g 1 ) and residual stomatal conductance ( g 0 ), which can be characterized as A = ( g sc – g 0 ) ( C a – C i ) / g 1 . Consequently, WUE i can be calculated by W U E i = 1 1.6 g 1 ( 1 − 1.6 g 0 g sw ) ( C a − C i ) . It is highlighted that this modified equation can not only more accurately characterize the WUE i in responses to varying I and CO 2 concentration conditions but also yields a remarkably high coefficient of determination ( R 2 > 0.989) for the four species. These findings will provide plant physiologists and agronomists with a precise calculation tool to better understand and optimize crop water use efficiency in the face of environmental challenges. • W U E i = ( C a − C i ) / 1.6 significantly overestimated the observed WUE i in both WUE i – I and WUE i – C i curves for all four species. • Incorporating g 1 and g 0 can improve the relationship between A and g sc . • Modified equation W U E i = 1 1.6 g 1 ( 1 − 1.6 g 0 g sw ) ( C a − C i ) more accurately characterizes WUE i – I and WUE i – C i curves for the four species. • Mathematical interpolation estimated g 0 values much higher than those from the modified equation or commonly assigned values.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2024-11-20
DOI
https://doi.org/10.1016/j.agwat.2024.109136
Citations
4
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influences of residual stomatal conductance on the intrinsic water use efficiency of two C3 and two C4 species

Zi Piao Ye, Fu Wang, Ting An, J. He et al.
4 citations
Agricultural Water Management
Plant Water Relations and Carbon Dynamics
1.13
article

Influences of residual stomatal conductance on the intrinsic water use efficiency of two C3 and two C4 species

Zi Piao Ye, Fu Wang, Ting An, J. He, Hajeong Kang, Shi Hua Duan
article en
4 citations

Abstract

Intrinsic water use efficiency ( WUE i ) is a critical parameter that encapsulates the equilibrium between carbon assimilation and the concomitant water expenditure. Enhancing the WUE i of crops is not only instrumental in bolstering their resilience to drought but also enables higher carbon fixation efficiency under conditions of scarce water resources. Improving the WUE i of crop varieties has become a major goal because water has become a critical limiting factor in crop productivity within the context of global change. The WUE i , traditionally calculated by W U E i = ( C a − C i ) / 1.6 ( C a , atmospheric CO 2 concentration; C i , intercellular CO 2 concentration), may vary from that derived from W U E i = A / g sw ( A , net photosynthetic rate; g sw , stomatal conductance to water vapor). In the study, the LI-6400 portable photosynthesis system was used for monitoring the leaf gas exchange of two C 3 (soybean and wheat) and two C 4 (maize and grain amaranth) species under changing irradiance ( I ) and CO 2 concentration conditions. One paired-sample t test was used to compare the significant differences between WUE i values calculated by different equations and the observed values. The results showed that W U E i = ( C a − C i ) / 1.6 significantly overestimated the calculated WUE i values than their corresponding observations by at least 17.78 %, 23.20 %, 9.07 %, and 14.26 % in light-response of WUE i ( WUE i –I ) and by at least 23.28 %, 22.02 %, 13.44 %, and 12.59 % in CO 2 -response of WUE i ( WUE i – C i ) curves for soybean, wheat, maize, and grain amaranth, respectively. However, the relationship between net photosynthetic rate ( A ) and stomatal conductance to CO 2 ( g sc ) can be improved by incorporating an empirical slope ( g 1 ) and residual stomatal conductance ( g 0 ), which can be characterized as A = ( g sc – g 0 ) ( C a – C i ) / g 1 . Consequently, WUE i can be calculated by W U E i = 1 1.6 g 1 ( 1 − 1.6 g 0 g sw ) ( C a − C i ) . It is highlighted that this modified equation can not only more accurately characterize the WUE i in responses to varying I and CO 2 concentration conditions but also yields a remarkably high coefficient of determination ( R 2 > 0.989) for the four species. These findings will provide plant physiologists and agronomists with a precise calculation tool to better understand and optimize crop water use efficiency in the face of environmental challenges. • W U E i = ( C a − C i ) / 1.6 significantly overestimated the observed WUE i in both WUE i – I and WUE i – C i curves for all four species. • Incorporating g 1 and g 0 can improve the relationship between A and g sc . • Modified equation W U E i = 1 1.6 g 1 ( 1 − 1.6 g 0 g sw ) ( C a − C i ) more accurately characterizes WUE i – I and WUE i – C i curves for the four species. • Mathematical interpolation estimated g 0 values much higher than those from the modified equation or commonly assigned values.

Agricultural Water ManagementVol. 306
Jinggangshan University (CN), Wenzhou Vocational College of Science and Technology (CN), Institute of Soil and Water Conservation (CN), Guangdong Testing Institute for Product Quality Supervision (CN), Jiangxi Agricultural University (CN)
Clean water and sanitation
Openalex Percentile: Top 22%
Plant Water Relations and Carbon Dynamics
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.