Paper · 2022 · Agronomy

Split Nitrogen Application Rates for Wheat (Triticum aestivum L.) Yield and Grain N Using the CSM-CERES-Wheat Model

Gul Roz Khan; Hiba M. Alkharabsheh; Mohammad Akmal; et al.

8
claims
12
verbatim quotes
22
citations
3
research areas
✓
Open access · cc-by

Abstract

Crop simulation models can be effective tools to assist with optimization of resources for a particular agroecological zone. The goal of this study was to determine the influence of N rates with different timing of application to wheat crop using prominent varieties using the CSM-CERES-Wheat model of the decision support system for agrotechnology transfer (DSSAT). Data were focused for yield traits, i.e., number of tillers, number of grains, grain weight, grain yield, biomass, and grain N content. To test the applicability of the CSM-CERES-Wheat version 4.7.5 model for agroclimatic conditions of Peshawar, Pakistan, experimental data from two years of experiments (2016–17 and 2017–18) were used for model calibration and evaluation. The simulation results of two years agreed well with field measured data for three commercial varieties. The model efficiency (R2) for wheat varieties was above 0.94 for variables tiller number per unit area (m−2), number of grains (m−2) and number of grains (spike−1), 1000 grain weight (mg), biomass weight (kg ha−1), grain yield (kg ha−1), and harvest N content (kg ha−1). Statistics of cultivars indicated that yield traits, yield, and N can be simulated efficiently for agroecological conditions of Peshawar. Moreover, different N rates and application timings suggested that the application of 140 kg N ha−1 with triple splits timings, i.e., 25% at the sowing, 50% at the tillering, and 25% at the booting stage of the crop, resulted in the maximum yield and N recovery for different commercial wheat varieties. Simulated N losses, according to the model, were highly determined by leaching for experimental conditions where a single N application of 100% or existing double splits timing was applied. The study concluded that 140 kg N ha−1 is most appropriate for wheat crop grown on clay loam soils under a flood irrigation system. However, the N fertilizer has to be given in triple splits of a 1:2:1 ratio at the sowing, tillering, and booting stages of the crop growth.

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Claims 8

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

CSM-CERES-Wheat model efficiency was above 0.94 for tiller number, number of grains and 1000 grain weight

Outcome
tiller number per unit area (m−2), number of grains (m−2) and number of grains (spike−1), 1000 grain weight (mg)e1
Value
above 0.94e1
Qualifier
model efficiency (R2)e1

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

e1

“The model efficiency (R2) for wheat varieties was above 0.94 for variables tiller number per unit area (m−2), number of grains (m−2) and number of grains (spike−1), 1000 grain weight (mg), biomass weight (kg ha−1), grain yield (kg ha−1), and harvest N content (kg ha−1)”

✓ located verbatim in the source · abstract, characters 846–1115 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

CSM-CERES-Wheat model efficiency was above 0.94 for biomass, grain yield and harvest N content

Outcome
biomass weight (kg ha−1), grain yield (kg ha−1), and harvest N content (kg ha−1)e1
Value
above 0.94e1
Qualifier
model efficiency (R2)e1

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

e1

“The model efficiency (R2) for wheat varieties was above 0.94 for variables tiller number per unit area (m−2), number of grains (m−2) and number of grains (spike−1), 1000 grain weight (mg), biomass weight (kg ha−1), grain yield (kg ha−1), and harvest N content (kg ha−1)”

✓ located verbatim in the source · abstract, characters 846–1115 · show in text ↑
Observationobservedoriginal resultsimulated

Claim · model-written summary

Simulated N losses were highly determined by leaching under a single N application of 100% or the existing double split timing

Taxon
Wheat (Triticum aestivum L.)Triticum aestivumt0
Treatment
a single N application of 100%e2
Outcome
Simulated N lossese2
Qualifier
highly determined by leachinge2

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

t0

“Wheat (Triticum aestivum L.)”

✓ located verbatim in the source · title, characters 37–65 · show in text ↑
e2

“Simulated N losses, according to the model, were highly determined by leaching for experimental conditions where a single N application of 100% or existing double splits timing was applied”

✓ located verbatim in the source · abstract, characters 1559–1747 · show in text ↑
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Triple split application of 140 kg N ha−1 at sowing, tillering and booting resulted in maximum yield and N recovery for different commercial wheat varieties

Material
different commercial wheat varietiese3
Treatment
140 kg N ha−1 with triple splits timingse3
Outcome
yield and N recoverye3
Direction
maximume3

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 application of 140 kg N ha−1 with triple splits timings, i.e., 25% at the sowing, 50% at the tillering, and 25% at the booting stage of the crop, resulted in the maximum yield and N recovery for different commercial wheat varieties”

✓ located verbatim in the source · abstract, characters 1322–1557 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The study concludes that 140 kg N ha−1 is most appropriate for wheat grown on clay loam soils under flood irrigation

Outcome
140 kg N ha−1 is most appropriatee4
Setting
clay loam soils under a flood irrigation systeme4

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

e4

“The study concluded that 140 kg N ha−1 is most appropriate for wheat crop grown on clay loam soils under a flood irrigation system”

✓ located verbatim in the source · abstract, characters 1749–1879 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The N fertilizer should be given in triple splits of a 1:2:1 ratio at sowing, tillering and booting

Outcome
the N fertilizer has to be given in triple splits of a 1:2:1 ratioe5

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

e4

“The study concluded that 140 kg N ha−1 is most appropriate for wheat crop grown on clay loam soils under a flood irrigation system”

✓ located verbatim in the source · abstract, characters 1749–1879 · show in text ↑
e5

“However, the N fertilizer has to be given in triple splits of a 1:2:1 ratio at the sowing, tillering, and booting stages of the crop growth”

✓ located verbatim in the source · abstract, characters 1881–2020 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Yield traits, yield and N of wheat cultivars can be simulated efficiently for agroecological conditions of Peshawar

Taxon
Wheat (Triticum aestivum L.)Triticum aestivumt0
Outcome
yield traits, yield, and N can be simulated efficientlye7
Setting
agroecological conditions of Peshaware7

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

t0

“Wheat (Triticum aestivum L.)”

✓ located verbatim in the source · title, characters 37–65 · show in text ↑
e7

“Statistics of cultivars indicated that yield traits, yield, and N can be simulated efficiently for agroecological conditions of Peshawar”

✓ located verbatim in the source · abstract, characters 1117–1253 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Simulated results of two years agreed well with field measured data for three commercial wheat varieties

Taxon
Wheat (Triticum aestivum L.)Triticum aestivumt0
Outcome
simulation resultse6
Comparator
field measured datae6

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

t0

“Wheat (Triticum aestivum L.)”

✓ located verbatim in the source · title, characters 37–65 · show in text ↑
e6

“The simulation results of two years agreed well with field measured data for three commercial varieties”

✓ located verbatim in the source · abstract, characters 741–844 · show in text ↑

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

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