Abstract
Crop water production function models (WPFMs) are required methods to study the relationships between yield and water consumption under regulated deficit irrigation (RDI). In this study, a pot experiment was established to study the effect of water deficit during both individual growth stages and across two consecutive growth stages of rice on yield, water consumption, and water use efficiency (WUE) in 2017 and 2018. Light, medium, and severe water deficits were set as 80~90%, 70~80%, and 60~70% of saturated soil moisture content, respectively. The accuracies of five WPFMs were tested based on the experimental results. The results showed that yields and WUE of a light water deficit were higher than those of medium and severe water deficits at each growth stage. The yields and WUE of light drought stress treatments in the flowering and milky stages were higher than the saturated soil moisture control by 4~7.4% and 5.3~20.6%, respectively. Water consumption decreased with increasing water deficit across two consecutive growth stages. The Minhas model had the highest simulation accuracy of the five WPFMs, with relatively lower AE, RMSE, Cv, CRM, and higher R2, which were 0.0002, 0.0634, 6.9965, 0.0002, and 0.9951 in 2017 and 0.0110, 0.0760, 8.9882, 0.0131, and 0.9923 in 2018, respectively. The sensitivity indices for the Minhas model more accurately reflected the sensitivity of rice yield to water deficit at different growth stages in 2017 and 2018, compared with the Jensen model, Stewart model, Blank model, and Singh model. Rice yield was most sensitive to water deficit at the jointing and booting stage. The results indicate that the Minhas model is the most suitable WPFM for guiding rice irrigation practices in cold and black soil regions of China.
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Claims 10
Claim · model-written summary
Light water deficit gave higher yields and WUE than medium and severe water deficits at each growth stage.
- Taxon
- Rice
Oryza sativat0 - Treatment
- light water deficite1
- Outcome
- yields and WUEe1
- Direction
- highere1
- Comparator
- medium and severe water deficitse1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“yields and WUE of a light water deficit were higher than those of medium and severe water deficits at each growth stage”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
Light drought stress in the flowering and milky stages raised yields by 4~7.4% above the saturated soil moisture control.
- Taxon
- RiceOryza sativat0
- Treatment
- light drought stress treatments in the flowering and milky stagese2
- Outcome
- yieldse2
- Direction
- highere2
- Value
- 4~7.4%e2
- Comparator
- saturated soil moisture controle2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e2“The yields and WUE of light drought stress treatments in the flowering and milky stages were higher than the saturated soil moisture control by 4~7.4% and 5.3~20.6%, respectively”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
Light drought stress in the flowering and milky stages raised WUE by 5.3~20.6% above the saturated soil moisture control.
- Taxon
- RiceOryza sativat0
- Treatment
- light drought stress treatments in the flowering and milky stagese2
- Outcome
- WUEe2
- Direction
- highere2
- Value
- 5.3~20.6%e2
- Comparator
- saturated soil moisture controle2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e2“The yields and WUE of light drought stress treatments in the flowering and milky stages were higher than the saturated soil moisture control by 4~7.4% and 5.3~20.6%, respectively”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
Water consumption decreased with increasing water deficit across two consecutive growth stages.
- Taxon
- RiceOryza sativat0
- Treatment
- increasing water deficite3
- Outcome
- Water consumptione3
- Direction
- decreasede3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e3“Water consumption decreased with increasing water deficit across two consecutive growth stages”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
The Minhas model had the highest simulation accuracy of the five water production function models.
- Taxon
- RiceOryza sativat0
- Outcome
- simulation accuracye4
- Direction
- higheste4
- Comparator
- the five WPFMse4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e4“The Minhas model had the highest simulation accuracy of the five WPFMs”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
The Minhas model had an R2 of 0.9951 in 2017.
- Taxon
- RiceOryza sativat0
- Outcome
- R2e6
- Value
- 0.9951e6
- Qualifier
- in 2017e6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e6“higher R2, which were 0.0002, 0.0634, 6.9965, 0.0002, and 0.9951 in 2017”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
The Minhas model had an R2 of 0.9923 in 2018.
- Taxon
- RiceOryza sativat0
- Outcome
- R2e7
- Value
- 0.9923e7
- Qualifier
- in 2018e7
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e7“higher R2, which were 0.0002, 0.0634, 6.9965, 0.0002, and 0.9951 in 2017 and 0.0110, 0.0760, 8.9882, 0.0131, and 0.9923 in 2018”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
The sensitivity indices of the Minhas model reflected the sensitivity of rice yield to water deficit more accurately than the other four models.
- Taxon
- RiceOryza sativat0
- Outcome
- sensitivity indicese5
- Direction
- more accuratelye5
- Comparator
- Jensen model, Stewart model, Blank model, and Singh modele5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e5“The sensitivity indices for the Minhas model more accurately reflected the sensitivity of rice yield to water deficit at different growth stages in 2017 and 2018, compared with the Jensen model, Stewart model, Blank model, and Singh model”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
Rice yield was most sensitive to water deficit at the jointing and booting stage.
- Taxon
- RiceOryza sativat0
- Organ / stage
- jointing and booting stagee6
- Outcome
- Rice yielde6
- Direction
- most sensitivee6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e6“Rice yield was most sensitive to water deficit at the jointing and booting stage”
t0“for Rice in Cold and Black Soil Region of China”
Claim · model-written summary
The Minhas model is the most suitable water production function model for guiding rice irrigation practices in cold and black soil regions of China.
- Taxon
- RiceOryza sativat0
- Outcome
- rice irrigation practicese7
- Setting
- cold and black soil regions of Chinae7
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e7“The results indicate that the Minhas model is the most suitable WPFM for guiding rice irrigation practices in cold and black soil regions of China”
t0“for Rice in Cold and Black Soil Region of China”
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