Paper · 2022 · Agricultural Water Management

Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies

Minghui Cheng; Haidong Wang; Junliang Fan; et al.

10
claims
19
verbatim quotes
30
citations
3
research areas
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Open access · cc-by-nc-nd

Abstract

Assessing and optimizing crop management strategies, e.g. irrigation and nitrogen (N) fertilization, is critical for the sustainable production of crops. Currently, crop simulation models combined with experimental data have been proved to be effective tools. Herein, the FAO AquaCrop model was calibrated and validated based on field-measured data during two consecutive growing seasons (2020 and 2021) for predicting canopy cover (CC, %), aboveground biomass and soil water content (SWC, mm) on a daily scale, and for simulating final fruit yield, evapotranspiration (ET, mm) and water productivity (WP, kg m−3) on a seasonal scale under plastic film mulch condition. The two-year experiment included three irrigation levels (60 %, 80 % and 100 % ET0, where ET0 is the reference evapotranspiration) and five N fertilizer rates (0, 180, 270, 360 and 450 kg N ha−1). In general, the AquaCrop model adequately simulated the dynamic changes of cherry tomato CC, aboveground biomass and final fruit yield. Nonetheless, the model severely overestimated SWC especially under full irrigation in the two-year experiment, and the simulation accuracy gradually increased with the increase of N rate. For ET, it was largely underestimated. With the decrease in irrigation level and N rate, the simulation accuracy improved and the impact of water stress was stronger than that of nitrogen stress. The simulation accuracy of WP decreased as irrigation level and N rate increased. The optimal integrated regime was deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1 (I80N360), which obtained 98.24 % of potential yield while significantly decreasing water input. The simulation of the mulched module and parameters of the AquaCrop model (crop transpiration, water productivity, etc.) should be further optimized and verified. If these improvements can be made, the AquaCrop model can be used in the decision-making of irrigation and N fertilization strategies of cherry tomato under plastic film mulch condition.

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Claims 10

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop adequately simulated cherry tomato canopy cover, biomass and fruit yield.

Outcome
CC, aboveground biomass and final fruit yielde0
Comparator
adequately simulatede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the AquaCrop model adequately simulated the dynamic changes of cherry tomato CC, aboveground biomass and final fruit yield”

✓ located verbatim in the source · abstract, characters 879–1001 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

AquaCrop severely overestimated soil water content, especially under full irrigation.

Outcome
SWCe0
Direction
overestimatede0
Comparator
full irrigatione0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the model severely overestimated SWC especially under full irrigation in the two-year experiment”

✓ located verbatim in the source · abstract, characters 1016–1112 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Soil water content simulation accuracy increased with nitrogen rate.

Treatment
N ratee0
Outcome
simulation accuracye0
Direction
increasede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the simulation accuracy gradually increased with the increase of N rate”

✓ located verbatim in the source · abstract, characters 1118–1189 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

AquaCrop largely underestimated evapotranspiration.

Outcome
ETe0
Direction
underestimatede0
Comparator
underestimatede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“For ET, it was largely underestimated”

✓ located verbatim in the source · abstract, characters 1191–1228 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

ET simulation accuracy improved as irrigation and nitrogen rates decreased.

Treatment
irrigation level and N ratee0
Outcome
simulation accuracye0
Direction
improvede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“With the decrease in irrigation level and N rate, the simulation accuracy improved”

✓ located verbatim in the source · abstract, characters 1230–1312 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Water stress affected simulation accuracy more strongly than nitrogen stress.

Outcome
impact of water stresse0
Direction
strongere0
Comparator
nitrogen stresse0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the impact of water stress was stronger than that of nitrogen stress”

✓ located verbatim in the source · abstract, characters 1317–1385 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Water productivity simulation accuracy decreased as irrigation and nitrogen rates increased.

Treatment
irrigation level and N ratee0
Outcome
simulation accuracy of WPe0
Direction
decreasede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The simulation accuracy of WP decreased as irrigation level and N rate increased”

✓ located verbatim in the source · abstract, characters 1387–1467 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

The 80% ET0 and 360 kg ha−1 nitrogen regime obtained 98.24% of potential yield.

Treatment
deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1e0
Outcome
yielde0
Direction
optimale0
Value
98.24 %e0
Comparator
potential yielde0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The optimal integrated regime was deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1 (I80N360), which obtained 98.24 % of potential yield while significantly decreasing water input”

✓ located verbatim in the source · abstract, characters 1469–1665 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

The optimal regime significantly decreased water input.

Treatment
deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1e0
Outcome
water inpute0
Direction
decreasinge0
Comparator
potential yielde0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The optimal integrated regime was deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1 (I80N360), which obtained 98.24 % of potential yield while significantly decreasing water input”

✓ located verbatim in the source · abstract, characters 1469–1665 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors recommend further optimization and verification of the AquaCrop mulch module and parameters.

Outcome
should be further optimized and verifiede0

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The simulation of the mulched module and parameters of the AquaCrop model (crop transpiration, water productivity, etc.) should be further optimized and verified”

✓ located verbatim in the source · abstract, characters 1667–1828 · show in text ↑
t0

“cherry tomato”

✓ located verbatim in the source · title, characters 44–57 · show in text ↑

nitrogen · yield · Solanum lycopersicum (tomato)Positive and negative results

210 papers: 172 positive, 38 negative or no effect

171 papers in the same direction as this paper · 31 in the opposite direction · 7 reporting no difference from an alternative

  1. positive
  2. negative
  3. negative

206 papers more in this group

See all 210 papers →

irrigation · yield · Solanum lycopersicum (tomato)Positive and negative results

344 papers: 239 positive, 105 negative or no effect

238 papers in the same direction as this paper · 98 in the opposite direction · 7 reporting no difference from an alternative

  1. negative
    Deficit irrigation reduced tomato fruit yield by 14.1% relative to full irrigation.

    Modelling the response of tomato on deficit irrigation under greenhouse conditions · 2023 · compared with full irrigation (FI) at 100 % crop evapotranspiration (ETc)

    Opposite directionCites this paper

  2. positive
  3. negative

340 papers more in this group

See all 344 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.