Paper · 2017 · Journal of Integrative Agriculture

Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain

Hai-long LIU; Hai-long LIU; Hong-bin LIU; et al.

5
claims
11
verbatim quotes
42
citations
3
research areas
✓
Open access · cc-by-nc-nd

Abstract

Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil model were employed to investigate the effect of low nitrogen (N) input on wheat (Triticum aestivum L.) yield, grain N concentration and soil organic carbon (SOC) in a long-term experiment (19 years) under a wheat-maize (Zea mays L.) rotation at Changping, Beijing, China. There were two treatments including N0 (no N application) and N150 (150 kg N ha−1) before wheat and maize planting, with phosphorus (P) and potassium (K) basal fertilizers applied as 75 kg P2O5 ha−1 and 37.5 kg K2O ha−1, respectively. The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment. Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (N0). The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels. It is suggested that if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield, grain N concentration, and SOC trends under wheat-maize cropping systems.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-nd. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 5

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The DSSAT-CENTURY model satisfactorily simulated measured wheat grain yield and grain N concentration at N0.

Outcome
grain yield and grain N concentratione1
Qualifier
at N0e1
Comparator
measurede1

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

e1

“The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment”

✓ located verbatim in the source · abstract, characters 758–955 · show in text ↑
t0

“simulate wheat yield”

✓ located verbatim in the source · title, characters 25–45 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The DSSAT-CENTURY model could not simulate wheat grain yield, grain N concentration or SOC at N150 or SOC in either N treatment.

Outcome
these parameterse1
Qualifier
at N150, or SOC in either N treatmente1
Comparator
N0e1

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

e1

“The DSSAT-CENTURY model was able to satisfactorily simulate measured wheat grain yield and grain N concentration at N0, but could not simulate these parameters at N150, or SOC in either N treatment”

✓ located verbatim in the source · abstract, characters 758–955 · show in text ↑
t0

“simulate wheat yield”

✓ located verbatim in the source · title, characters 25–45 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Model simulation and field measurement showed that N application at 150 kg N/ha increased wheat yield compared with no N application.

Treatment
N application (N150)e2
Outcome
wheat yielde2
Direction
increasede2
Comparator
no N application (N0)e2
Setting
Changping, Beijing, Chinae0

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

“at Changping, Beijing, China”

✓ located verbatim in the source · abstract, characters 493–521 · show in text ↑
e2

“Model simulation and field measurement showed that N application (N150) increased wheat yield compared to no N application (N0)”

✓ located verbatim in the source · abstract, characters 957–1084 · show in text ↑
t0

“simulate wheat yield”

✓ located verbatim in the source · title, characters 25–45 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Inorganic fertilizer application at the rates used did not maintain wheat crop yield and SOC levels.

Treatment
inorganic fertilizer application at the rates usede3
Outcome
crop yield and SOC levelse3
Direction
did not maintaine3

Not reportedComparator

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

e3

“The results indicated that inorganic fertilizer application at the rates used did not maintain crop yield and SOC levels”

✓ located verbatim in the source · abstract, characters 1086–1206 · show in text ↑
t0

“simulate wheat yield”

✓ located verbatim in the source · title, characters 25–45 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

DSSAT may be a useful tool for assessing and predicting wheat yield, if the model is calibrated carefully.

Outcome
a useful tool for assessing and predicting wheat yielde5
Qualifier
if the DSSAT is calibrated carefullye5

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

e5

“if the DSSAT is calibrated carefully, it can be a useful tool for assessing and predicting wheat yield”

✓ located verbatim in the source · abstract, characters 1229–1331 · show in text ↑
t0

“simulate wheat yield”

✓ located verbatim in the source · title, characters 25–45 · show in text ↑

fertilization · soil: chemistry · Triticum aestivum (wheat)Positive and negative results

214 papers: 190 positive, 24 negative or no effect

23 papers in the same direction as this paper · 190 in the opposite direction

  1. positive
  2. positive
  3. positive

210 papers more in this group

See all 214 papers →

nitrogen · yield · Triticum aestivum (wheat)Positive and negative results

2,061 papers: 1,737 positive, 324 negative or no effect

1,736 papers in the same direction as this paper · 285 in the opposite direction · 39 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

2,057 papers more in this group

See all 2,061 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.