Paper · 2020 · Information Processing in Agriculture

Application of the AquaCrop model in decision support for optimization of nitrogen fertilizer and water productivity of soybeans

Omotayo B. Adeboye; Bart Schultz; Amaka P. Adeboye; et al.

12
claims
12
verbatim quotes
46
citations
4
research areas
✓
Open access · cc-by-nc-nd

Abstract

Modelling of the effects of water and different levels of nitrogen on evapotranspiration and water productivity of rainfed soybeans is very important in optimising resource use in the production of the crop. The objective of the study was to model evapotranspiration, soil water storage and water productivity of rainfed soybeans under different levels of nitrogen fertilizer by using the FAO AquaCrop model. Field experiments were conducted at the Teaching and Research Farms of Obafemi Awolowo University, Nigeria in the rainy seasons of 2015 and 2016. There were five levels of nitrogen, which are 00, 25, 50, 75 and 100% of the recommended nitrogen applications and two varieties of soybeans, which produced a 2 by 5 factorial experimental design. The data of the wetter year 2015, were used for calibration of the AquaCrop model because AquaCrop is water driven. The 2016 data were used for the validation. The AquaCrop model simulated canopy cover with R2 and EF > 0.90, d-index ≥ 0.99. The model captured the trend of the soil water storage well, R2 and EF ≥ 0.70. The AquaCrop model simulated soil water storage below wilting point for seasonal rainfall less than 600 mm, and it did not overestimate it. The model predicted evapotranspiration with R2 and EF ≥ 0.89, d-index = 1.00. Above ground biomass was overestimated even though R2 ≥ 0.98. Although, nitrogen stress reduced seed yield and water productivity, there was no under or over estimation of the seed yields. They were predicted with low error under the different levels of nitrogen fertilizer, R2 ≥ 0.99, EF and d-index ≥ 0.99. The AquaCrop model is suitable for simulating canopy cover, soil water storage, evapotranspiration, and seed yield of rainfed soybeans with different levels of nitrogen fertilizer under temporal distribution of seasonal rainfall. Therefore, it can serve as a useful tool for smallholder farmers in predicting productivity of soybeans and optimising resource allocation, land and water use in the tropical farming systems. We recommend simulation of the effects of pest on biomass, seed yield and water productivity by subsequent versions of the AquaCrop model. In addition, incorporating an economic sub-unit in the model will enable users to make financial decisions.

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 12

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop simulated canopy cover with high fit.

Outcome
canopy covere0
Value
R2 and EF > 0.90, d-index ≥ 0.99e0

Verbatim

e0

“The AquaCrop model simulated canopy cover with R2 and EF > 0.90, d-index ≥ 0.99.”

✓ located verbatim in the source · abstract, characters 912–992 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop captured soil water storage trends well.

Outcome
soil water storagee0
Value
R2 and EF ≥ 0.70e0

Verbatim

e0

“The model captured the trend of the soil water storage well, R2 and EF ≥ 0.70.”

✓ located verbatim in the source · abstract, characters 993–1071 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop simulated soil water storage below wilting point with rainfall under 600 mm without overestimation.

Outcome
soil water storagee0
Value
less than 600 mme0
Qualifier
below wilting pointe0

Verbatim

e0

“The AquaCrop model simulated soil water storage below wilting point for seasonal rainfall less than 600 mm, and it did not overestimate it.”

✓ located verbatim in the source · abstract, characters 1072–1211 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop predicted evapotranspiration with high fit.

Outcome
evapotranspiratione0
Value
R2 and EF ≥ 0.89, d-index = 1.00e0

Verbatim

e0

“The model predicted evapotranspiration with R2 and EF ≥ 0.89, d-index = 1.00.”

✓ located verbatim in the source · abstract, characters 1212–1289 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

AquaCrop overestimated aboveground biomass.

Outcome
Above ground biomasse0
Value
R2 ≥ 0.98e0

Verbatim

e0

“Above ground biomass was overestimated even though R2 ≥ 0.98.”

✓ located verbatim in the source · abstract, characters 1290–1351 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Nitrogen stress reduced seed yield.

Treatment
nitrogen stresse0
Outcome
seed yielde0
Direction
reducede0

Not reportedTaxonComparator

Verbatim

e0

“nitrogen stress reduced seed yield and water productivity”

✓ located verbatim in the source · abstract, characters 1362–1419 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Nitrogen stress reduced water productivity.

Treatment
nitrogen stresse0
Outcome
water productivitye0
Direction
reducede0

Not reportedTaxonComparator

Verbatim

e0

“nitrogen stress reduced seed yield and water productivity”

✓ located verbatim in the source · abstract, characters 1362–1419 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Seed yields were predicted without bias and with low error across nitrogen levels.

Outcome
seed yieldse0
Value
R2 ≥ 0.99, EF and d-index ≥ 0.99e0

Verbatim

e0

“there was no under or over estimation of the seed yields. They were predicted with low error under the different levels of nitrogen fertilizer, R2 ≥ 0.99, EF and d-index ≥ 0.99.”

✓ located verbatim in the source · abstract, characters 1421–1598 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Authors considered AquaCrop suitable for simulating rainfed soybean outcomes.

Taxon
soybeansGlycine maxe0
Outcome
suitable for simulating canopy cover, soil water storage, evapotranspiration, and seed yielde0

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“The AquaCrop model is suitable for simulating canopy cover, soil water storage, evapotranspiration, and seed yield of rainfed soybeans with different levels of nitrogen fertilizer under temporal distribution of seasonal rainfall.”

✓ located verbatim in the source · abstract, characters 1599–1828 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Authors proposed AquaCrop for farmer resource decisions.

Taxon
soybeansGlycine maxe0
Outcome
predicting productivity of soybeans and optimising resource allocation, land and water usee0

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“it can serve as a useful tool for smallholder farmers in predicting productivity of soybeans and optimising resource allocation, land and water use in the tropical farming systems.”

✓ located verbatim in the source · abstract, characters 1840–2020 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Authors recommended simulating pest effects in future AquaCrop versions.

Outcome
simulation of the effects of pest on biomass, seed yield and water productivitye0

Not reportedTaxon

Verbatim

e0

“We recommend simulation of the effects of pest on biomass, seed yield and water productivity by subsequent versions of the AquaCrop model.”

✓ located verbatim in the source · abstract, characters 2021–2159 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Authors proposed an economic component for financial decisions.

Outcome
incorporating an economic sub-unit in the modele0

Not reportedTaxon

Verbatim

e0

“incorporating an economic sub-unit in the model will enable users to make financial decisions.”

✓ located verbatim in the source · abstract, characters 2173–2267 · show in text ↑

nitrogen · physiology: water · Glycine max (soybean)Positive and negative results

9 papers: 8 positive, 1 negative or no effect

8 in the opposite direction

  1. positive
  2. positive
  3. positive

5 papers more in this group

See all 9 papers →

nitrogen · yield · Glycine max (soybean)Positive and negative results

416 papers: 318 positive, 98 negative or no effect

97 papers in the same direction as this paper · 318 in the opposite direction

  1. positive
  2. positive
  3. no effect

412 papers more in this group

See all 416 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.