Paper · 2017 · Transactions of the ASABE

Simulated Effects of Winter Wheat Cover Crop on Cotton Production Systems of the Texas Rolling Plains

Pradip Adhikari; Nina Omani; Srinivasulu Ale; et al.

10
claims
13
verbatim quotes
36
citations
3
research areas
—
Not open access

Abstract

Abstract . Interest in cover crops has been increasing in the Texas Rolling Plains (TRP) region, mainly to improve soil health. However, there are concerns that cover crops could potentially reduce soil water and thereby affect the yield of subsequent cash crops. Previous field studies from this region have demonstrated mixed results, with some showing a reduction in cash crop yield due to cover crops and others indicating no significant impact of cover crops on subsequent cotton fiber yield. The objectives of this study were to (1) evaluate the CROPGRO-Cotton and CERES-Wheat modules within the cropping system model (CSM) of the Decision Support System for Agrotechnology Transfer (DSSAT) for the TRP region, and (2) use the evaluated model to assess the long-term effects of growing winter wheat as a cover crop on water balances and seed cotton yield under irrigated and dryland conditions. The two DSSAT crop modules were calibrated using measured data on soil water and crop yield from four treatments: (1) irrigated cotton without a cover crop (CwoC-I), (2) irrigated cotton with winter wheat as a cover crop (CwC-I), (3) dryland cotton without a cover crop (CwoC-D), and (4) dryland cotton with a winter wheat cover crop (CwC-D) at the Texas A&M AgriLife Research Station at Chillicothe from 2011 to 2015. The average percent error (PE) between the CSM-CROPGRO-Cotton simulated and measured seed cotton yield was -10.1% and -1.0% during the calibration and evaluation periods, respectively, and the percent root mean square error (%RMSE) was 11.9% during calibration and 27.6% during evaluation. For simulation of aboveground biomass by the CSM-CERES-Wheat model, the PE and %RMSE were 8.9% and 9.1%, respectively, during calibration and -0.9% and 21.8%, respectively, during evaluation. Results from the long-term (2001-2015) simulations indicated that there was no substantial reduction in average seed cotton yield and soil water due to growing winter wheat as a cover crop. Keywords: CERES-Wheat, Cover crop, Crop simulation model, CROPGRO-Cotton, DSSAT, Seed cotton yield, Soil water.

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Claims 10

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cotton yield simulation had percent error of -10.1% during calibration.

Outcome
percent error (PE)e0
Value
-10.1%e0
Qualifier
calibratione0
Setting
Chillicothee1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The average percent error (PE) between the CSM-CROPGRO-Cotton simulated and measured seed cotton yield was -10.1% and -1.0% during the calibration and evaluation periods, respectively”

✓ located verbatim in the source · abstract, characters 1320–1503 · show in text ↑
e1

“at the Texas A&M AgriLife Research Station at Chillicothe”

✓ located verbatim in the source · abstract, characters 1243–1300 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cotton yield simulation had percent error of -1.0% during evaluation.

Outcome
percent error (PE)e0
Value
-1.0%e0
Qualifier
evaluatione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The average percent error (PE) between the CSM-CROPGRO-Cotton simulated and measured seed cotton yield was -10.1% and -1.0% during the calibration and evaluation periods, respectively”

✓ located verbatim in the source · abstract, characters 1320–1503 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cotton yield simulation had RMSE of 11.9% during calibration.

Outcome
%RMSEe0
Value
11.9%e0
Qualifier
calibratione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the percent root mean square error (%RMSE) was 11.9% during calibration and 27.6% during evaluation”

✓ located verbatim in the source · abstract, characters 1509–1608 · show in text ↑
e1

“CSM-CROPGRO-Cotton”

✓ located verbatim in the source · abstract, characters 1363–1381 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cotton yield simulation had RMSE of 27.6% during evaluation.

Outcome
%RMSEe0
Value
27.6%e0
Qualifier
evaluatione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the percent root mean square error (%RMSE) was 11.9% during calibration and 27.6% during evaluation”

✓ located verbatim in the source · abstract, characters 1509–1608 · show in text ↑
e1

“CSM-CROPGRO-Cotton”

✓ located verbatim in the source · abstract, characters 1363–1381 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Wheat biomass simulation had percent error of 8.9% during calibration.

Outcome
PEe0
Value
8.9%e0
Qualifier
calibratione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“For simulation of aboveground biomass by the CSM-CERES-Wheat model, the PE and %RMSE were 8.9% and 9.1%, respectively, during calibration and -0.9% and 21.8%, respectively, during evaluation.”

✓ located verbatim in the source · abstract, characters 1610–1801 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Wheat biomass simulation had RMSE of 9.1% during calibration.

Outcome
%RMSEe0
Value
9.1%e0
Qualifier
calibratione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“For simulation of aboveground biomass by the CSM-CERES-Wheat model, the PE and %RMSE were 8.9% and 9.1%, respectively, during calibration and -0.9% and 21.8%, respectively, during evaluation.”

✓ located verbatim in the source · abstract, characters 1610–1801 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Wheat biomass simulation had percent error of -0.9% during evaluation.

Outcome
PEe0
Value
-0.9%e0
Qualifier
evaluatione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“For simulation of aboveground biomass by the CSM-CERES-Wheat model, the PE and %RMSE were 8.9% and 9.1%, respectively, during calibration and -0.9% and 21.8%, respectively, during evaluation.”

✓ located verbatim in the source · abstract, characters 1610–1801 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Wheat biomass simulation had RMSE of 21.8% during evaluation.

Outcome
%RMSEe0
Value
21.8%e0
Qualifier
evaluatione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“For simulation of aboveground biomass by the CSM-CERES-Wheat model, the PE and %RMSE were 8.9% and 9.1%, respectively, during calibration and -0.9% and 21.8%, respectively, during evaluation.”

✓ located verbatim in the source · abstract, characters 1610–1801 · show in text ↑
Intervention effectobservedoriginal resultno effectsimulated

Claim · model-written summary

Long-term simulations found no substantial reduction in average seed cotton yield with winter wheat cover crop.

Treatment
growing winter wheat as a cover crope0
Outcome
average seed cotton yielde0
Direction
no substantial reductione0
Qualifier
long-term (2001-2015)e0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results from the long-term (2001-2015) simulations indicated that there was no substantial reduction in average seed cotton yield and soil water due to growing winter wheat as a cover crop.”

✓ located verbatim in the source · abstract, characters 1802–1991 · show in text ↑
Intervention effectobservedoriginal resultno effectsimulated

Claim · model-written summary

Long-term simulations found no substantial reduction in soil water with winter wheat cover crop.

Treatment
growing winter wheat as a cover crope0
Outcome
soil watere0
Direction
no substantial reductione0
Qualifier
long-term (2001-2015)e0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Results from the long-term (2001-2015) simulations indicated that there was no substantial reduction in average seed cotton yield and soil water due to growing winter wheat as a cover crop.”

✓ located verbatim in the source · abstract, characters 1802–1991 · show in text ↑

Triticum aestivum · soil: physics · Gossypium hirsutum (cotton)Positive and negative results

6 papers: 4 positive, 2 negative or no effect

1 paper in the same direction as this paper · 4 in the opposite direction

  1. no effect
  2. positive
  3. positive

2 papers more in this group

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Triticum aestivum · yield · Gossypium hirsutum (cotton)Positive and negative results

30 papers: 21 positive, 9 negative or no effect

8 papers in the same direction as this paper · 21 in the opposite direction

  1. positive
  2. positive
  3. positive

26 papers more in this group

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cover crop · yield · Gossypium hirsutum (cotton)Results differ

44 papers: 18 positive, 26 negative or no effect

25 papers in the same direction as this paper · 18 in the opposite direction

  1. positive
  2. positive
  3. positive

40 papers more in this group

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cover crop · soil: physics · Gossypium hirsutum (cotton)Positive and negative results

11 papers: 7 positive, 4 negative or no effect

3 papers in the same direction as this paper · 7 in the opposite direction

  1. positive
  2. positive
  3. positive

7 papers more in this group

See all 11 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.