Abstract
Context No-tillage (NT) has been gaining popularity over the conventional tillage (CT) for agricultural sustainability. Field experiments conducted worldwide to compare crop production under NT vs CT systems are generally site specific and expensive to maintain over longer duration. To overcome this gap, process-based models have been used to simulate the potential impact and benefits of various management practices on crop yield and soil properties under different environmental conditions. Aims (1) We evaluated the Cropping System Model (CSM)-CERES-Maize and CSM-CROPGRO-Soybean model for NT and CT systems; and (2) compared the long-term impacts of NT and CT on crop yield and soil organic carbon (SOC). Methods Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments. Key results For crop yield, we showed that the coefficient of determination (R2) for the calibration and evaluation phases of CERES-Maize model were 0.94 and 0.94, respectively, while the index of agreement (d) for these phases were 0.93 and 0.86. Similarly, the R2 values for the calibration and evaluation phases of CROPGRO-Soybean model were 1.00 and 0.65, respectively, with d-values of 0.99 and 0.85. Conclusions The results from these long-term (30-year) simulations suggest that compared to CT, the NT system enhanced SOC over time and, hence, crop yield and biomass production. Implications Application of NT can be beneficial for enhancing the soils and crop production in the long-term as compared to the CT system.
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Claims 7
Claim · model-written summary
CERES-Maize reached R2 of 0.94 in both calibration and evaluation.
Zea maysOrganisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e2“For crop yield, we showed that the coefficient of determination (R2) for the calibration and evaluation phases of CERES-Maize model were 0.94 and 0.94, respectively, while the index of agreement (d) for these phases were 0.93 and 0.86”
Claim · model-written summary
CERES-Maize index of agreement (d) was 0.93 in calibration and 0.86 in evaluation.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e2“For crop yield, we showed that the coefficient of determination (R2) for the calibration and evaluation phases of CERES-Maize model were 0.94 and 0.94, respectively, while the index of agreement (d) for these phases were 0.93 and 0.86”
Claim · model-written summary
CROPGRO-Soybean reached R2 of 1.00 in calibration and 0.65 in evaluation.
- Taxon
- soybean
Glycine maxe1 - Outcome
- R2 valuese3
- Value
- 1.00 and 0.65e3
- Qualifier
- CROPGRO-Soybean modele3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e3“Similarly, the R2 values for the calibration and evaluation phases of CROPGRO-Soybean model were 1.00 and 0.65, respectively, with d-values of 0.99 and 0.85”
Claim · model-written summary
CROPGRO-Soybean d-values were 0.99 in calibration and 0.85 in evaluation.
- Taxon
- soybeanGlycine maxe1
- Outcome
- d-valuese3
- Value
- 0.99 and 0.85e3
- Qualifier
- CROPGRO-Soybean modele3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e3“Similarly, the R2 values for the calibration and evaluation phases of CROPGRO-Soybean model were 1.00 and 0.65, respectively, with d-values of 0.99 and 0.85”
Claim · model-written summary
Over 30 simulated years, the no-till system enhanced soil organic carbon compared with conventional tillage.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e4“The results from these long-term (30-year) simulations suggest that compared to CT, the NT system enhanced SOC over time and, hence, crop yield and biomass production”
Claim · model-written summary
Over 30 simulated years, the no-till system enhanced crop yield and biomass production compared with conventional tillage.
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e4“The results from these long-term (30-year) simulations suggest that compared to CT, the NT system enhanced SOC over time and, hence, crop yield and biomass production”
Claim · model-written summary
No-till application may be beneficial for enhancing soils and crop production in the long term compared with conventional tillage.
- Outcome
- enhancing the soils and crop productione5
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments”
e5“Application of NT can be beneficial for enhancing the soils and crop production in the long-term as compared to the CT system”
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See all 1,099 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.