Abstract
Abstract Soybean [ Glycine max (L.) Merr.] can be no‐till seeded in the spring following a killed rye ( Secale cereale L.) cover crop. A shortage of rain can affect soybean yields, depending on the timing of killing and the amount of mulch produced. Our main objective was to incorporate the effect of a rye mulch on soil water content into a soybean growth model (SOYGRO). The use of a wheat ( Triticum aestivum L.) growth model (CERES‐Wheat) for rye mulch production calculations and SOYGRO for predicting yields under no‐mulch and mulch conditions were evaluated. The water balance subroutine of SOYGRO was modified to account for the effect of a rye mulch on soil water content due to mulch albedo, rain interception, and transmissivity of solar radiation. Data from previous experiments at Delhi (Psammentic Hapludalf soil), and Woodstock (Typic Hapludalf) in Ontario, Canada, were used to evaluate these modifications and yield predictions. Mulch production was described well by CERES‐Wheat ( r 2 = 0.96). The modified SOYGRO model improved soil water content calculations relative to the original model ( r 2 = 0.67 vs. 0.58, root mean square error = 0.028 vs. 0.064 m 3 m −3 ). Simulated soybean yields were within 1 SD of measured values. In agreement with field measurements, the simulated effect of mulch did not increase soybean yields, and modification of SOYGRO to include mulch effects did not change yield predictions ( r 2 = 0.83 vs. 0.81) when no prolonged drought occurred. The simple mulch model incorporated into SOYGRO was adequate to model the effect of rye mulch on soybean growth. The use of CERES‐Wheat and the modified SOYGRO model in sequence under hypothetical drier weather conditions was demonstrated.
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Claims 6
Claim · model-written summary
Rye mulch production was described well by the wheat growth model CERES-Wheat (r2 = 0.96).
- Taxon
- Rye
Secale cerealet0 - Outcome
- Mulch productione0
- Value
- r 2 = 0.96e1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rye Cover Crop”
e0“Mulch production was described well by CERES”
e1“r 2 = 0.96”
Claim · model-written summary
The modified SOYGRO model improved soil water content calculations relative to the original model (r2 0.67 vs. 0.58).
- Taxon
- Soybean
Glycine maxt0 - Outcome
- soil water content calculationse0
- Direction
- improvede0
- Value
- r 2 = 0.67 vs. 0.58e1
- Comparator
- original modele0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Soybean Yield”
e0“The modified SOYGRO model improved soil water content calculations relative to the original model”
e1“r 2 = 0.67 vs. 0.58”
Claim · model-written summary
Root mean square error of soil water content was 0.028 with the modified model versus 0.064 with the original.
- Taxon
- SoybeanGlycine maxt0
- Outcome
- root mean square errore0
- Value
- 0.028 vs. 0.064e0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Soybean Yield”
e0“root mean square error = 0.028 vs. 0.064”
Claim · model-written summary
Simulated soybean yields were within 1 SD of measured values.
- Taxon
- soybeanGlycine maxe0
- Outcome
- Simulated soybean yieldse0
- Value
- within 1 SDe0
- Comparator
- measured valuese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Simulated soybean yields were within 1 SD of measured values”
Claim · model-written summary
In agreement with field measurements, the simulated effect of rye mulch did not increase soybean yields.
- Taxon
- soybeanGlycine maxe0
- Treatment
- mulche0
- Outcome
- soybean yieldse0
- Direction
- did not increasee0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the simulated effect of mulch did not increase soybean yields”
Claim · model-written summary
Including mulch effects in SOYGRO did not change yield predictions (r2 0.83 vs. 0.81) when no prolonged drought occurred.
- Taxon
- SoybeanGlycine maxt0
- Outcome
- yield predictionse0
- Value
- r 2 = 0.83 vs. 0.81e1
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Soybean Yield”
e0“modification of SOYGRO to include mulch effects did not change yield predictions”
e1“r 2 = 0.83 vs. 0.81”
The same questions in other papers
mulching · yield · Glycine max (soybean)Positive and negative results
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- positive
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See all 58 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.