Abstract
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Claims 5
Claim · model-written summary
AquaCrop calibration NRMSE for wheat predicted grain yield was 0.5-2.
- Taxon
- winter wheat
Triticum aestivume0 - Outcome
- predicted grain yielde0
- Value
- 0.5-2e0
- Qualifier
- calibratione0
- Setting
- Fars Agricultural Research Station (Zarghan)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study was conducted for evaluating AquaCrop model performance in prediction of grain yield and biomass production of winter wheat, under water stress at Fars Agricultural Research Station (Zarghan), during two years (2006-2008). The experiment was a randomized block, based on a split plot design with four replications. Main plots consisted of two irrigation treatments, namely I1 (nonstressed), and I2 (Post anthesis water stressed plots with 65% FC). Each subplot consisted of three varieties; Shiraz, Marvdasht, and Chamran. Evaluation of the simulated yield and biomass production values were performed based on the measured data adjusted coefficient of correlation, relative error, and normalized root mean square error (NRMSE). Based on the results, the NRMSE values for the predicted grain yield of studied varieties in the calibration and validation stages were between of 0.5-2, and 2-9 percent, respectively. Also, the NRMSE values of calibration and validation in biomass production for the varieties, were between 2-5, and 3-6 percent, respectively. Results indicated that the AquaCrop model could predict the grain yield and biomass production with an acceptable accuracy.”
Claim · model-written summary
AquaCrop validation NRMSE for wheat predicted grain yield was 2-9 percent.
- Taxon
- winter wheatTriticum aestivume0
- Outcome
- predicted grain yielde0
- Value
- 2-9 percente0
- Qualifier
- validatione0
- Setting
- Fars Agricultural Research Station (Zarghan)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study was conducted for evaluating AquaCrop model performance in prediction of grain yield and biomass production of winter wheat, under water stress at Fars Agricultural Research Station (Zarghan), during two years (2006-2008). The experiment was a randomized block, based on a split plot design with four replications. Main plots consisted of two irrigation treatments, namely I1 (nonstressed), and I2 (Post anthesis water stressed plots with 65% FC). Each subplot consisted of three varieties; Shiraz, Marvdasht, and Chamran. Evaluation of the simulated yield and biomass production values were performed based on the measured data adjusted coefficient of correlation, relative error, and normalized root mean square error (NRMSE). Based on the results, the NRMSE values for the predicted grain yield of studied varieties in the calibration and validation stages were between of 0.5-2, and 2-9 percent, respectively. Also, the NRMSE values of calibration and validation in biomass production for the varieties, were between 2-5, and 3-6 percent, respectively. Results indicated that the AquaCrop model could predict the grain yield and biomass production with an acceptable accuracy.”
Claim · model-written summary
AquaCrop calibration NRMSE for wheat biomass production was 2-5.
- Taxon
- winter wheatTriticum aestivume0
- Outcome
- biomass productione0
- Value
- 2-5e0
- Qualifier
- calibratione0
- Setting
- Fars Agricultural Research Station (Zarghan)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study was conducted for evaluating AquaCrop model performance in prediction of grain yield and biomass production of winter wheat, under water stress at Fars Agricultural Research Station (Zarghan), during two years (2006-2008). The experiment was a randomized block, based on a split plot design with four replications. Main plots consisted of two irrigation treatments, namely I1 (nonstressed), and I2 (Post anthesis water stressed plots with 65% FC). Each subplot consisted of three varieties; Shiraz, Marvdasht, and Chamran. Evaluation of the simulated yield and biomass production values were performed based on the measured data adjusted coefficient of correlation, relative error, and normalized root mean square error (NRMSE). Based on the results, the NRMSE values for the predicted grain yield of studied varieties in the calibration and validation stages were between of 0.5-2, and 2-9 percent, respectively. Also, the NRMSE values of calibration and validation in biomass production for the varieties, were between 2-5, and 3-6 percent, respectively. Results indicated that the AquaCrop model could predict the grain yield and biomass production with an acceptable accuracy.”
Claim · model-written summary
AquaCrop validation NRMSE for wheat biomass production was 3-6 percent.
- Taxon
- winter wheatTriticum aestivume0
- Outcome
- biomass productione0
- Value
- 3-6 percente0
- Qualifier
- validatione0
- Setting
- Fars Agricultural Research Station (Zarghan)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study was conducted for evaluating AquaCrop model performance in prediction of grain yield and biomass production of winter wheat, under water stress at Fars Agricultural Research Station (Zarghan), during two years (2006-2008). The experiment was a randomized block, based on a split plot design with four replications. Main plots consisted of two irrigation treatments, namely I1 (nonstressed), and I2 (Post anthesis water stressed plots with 65% FC). Each subplot consisted of three varieties; Shiraz, Marvdasht, and Chamran. Evaluation of the simulated yield and biomass production values were performed based on the measured data adjusted coefficient of correlation, relative error, and normalized root mean square error (NRMSE). Based on the results, the NRMSE values for the predicted grain yield of studied varieties in the calibration and validation stages were between of 0.5-2, and 2-9 percent, respectively. Also, the NRMSE values of calibration and validation in biomass production for the varieties, were between 2-5, and 3-6 percent, respectively. Results indicated that the AquaCrop model could predict the grain yield and biomass production with an acceptable accuracy.”
Claim · model-written summary
AquaCrop predicted wheat grain yield and biomass production with acceptable accuracy.
- Taxon
- winter wheatTriticum aestivume0
- Outcome
- grain yield and biomass productione0
- Value
- acceptable accuracye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This study was conducted for evaluating AquaCrop model performance in prediction of grain yield and biomass production of winter wheat, under water stress at Fars Agricultural Research Station (Zarghan), during two years (2006-2008). The experiment was a randomized block, based on a split plot design with four replications. Main plots consisted of two irrigation treatments, namely I1 (nonstressed), and I2 (Post anthesis water stressed plots with 65% FC). Each subplot consisted of three varieties; Shiraz, Marvdasht, and Chamran. Evaluation of the simulated yield and biomass production values were performed based on the measured data adjusted coefficient of correlation, relative error, and normalized root mean square error (NRMSE). Based on the results, the NRMSE values for the predicted grain yield of studied varieties in the calibration and validation stages were between of 0.5-2, and 2-9 percent, respectively. Also, the NRMSE values of calibration and validation in biomass production for the varieties, were between 2-5, and 3-6 percent, respectively. Results indicated that the AquaCrop model could predict the grain yield and biomass production with an acceptable accuracy.”