Paper · 2026 · Information Processing in Agriculture

Tailoring biochar–nitrogen strategies to soil texture: Enhancing wheat yield and moderating downward nitrogen movement in semi-arid agroecosystems

Saeed Sharafi

12
claims
24
verbatim quotes
0
citations
3
research areas
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Open access · cc-by-nc-nd

Abstract

• Biochar–nitrogen interactions exhibited strong soil texture dependency, governing wheat yield responses and patterns of downward nitrogen redistribution under semi-arid condition. • In sandy loam soils, higher biochar rates combined with urea enhanced grain yield but were associated with increased sub-root-zone NO 3 – -N values, indicating greater downward nitrogen mobility beyond the effective rooting zone. • In silty clay loam soils, moderate biochar application (≈40 t ha −1 ) combined with ammonium nitrate provided a balanced agronomic–environmental outcome, improving nitrogen use efficiency while limiting downward nitrogen redistribution. • Grain yield was strongly correlated with dry matter accumulation (r = 0.93 ** ), whereas sub-root-zone NO 3 – -N values showed negative associations with grain yield and protein concentration, highlighting nitrogen use efficiency as a central integrative mechanism. • ASPIM-Wheat and HYDRUS-2D reproduced crop growth dynamics across soil textures but showed systematic bias in simulating downward nitrogen redistribution, particularly across biochar rate gradients. • The results emphasize that soil-specific integration of biochar rate and nitrogen fertilizer source, rather than universal application strategies, is essential for enhancing productivity while moderating environmental risk in semi-arid wheat systems. This multi-year field–modeling study examined the interactive effects of biochar application and nitrogen fertilizer source on wheat productivity and downward nitrogen redistribution, assessed using a sub-root-zone NO 3 – -N indicator (80–100 cm), across three contrasting soil textures (sandy loam, silty clay loam, and silty clay) under semi-arid conditions. Field experiments were conducted over three consecutive growing seasons using a uniform nitrogen rate (60 kg N ha −1 ) supplied as either ammonium nitrate (AN) or urea (NN), combined with three biochar application rates (20, 40, and 80 t ha −1 ) applied once at the beginning of the experiment. Results revealed strong soil texture dependency in both agronomic and nitrogen-redistribution responses. In sandy loam soils, grain yield and biomass showed high responsiveness to biochar–nitrogen co-application, particularly under higher biochar rates combined with urea; however, these gains were accompanied by elevated sub-root-zone NO 3 – -N values, indicating increased downward nitrogen mobility beyond the effective rooting zone. In contrast, silty clay loam and silty clay soils exhibited greater intrinsic buffering capacity, with moderate biochar application (≈40 t ha −1 ) combined with ammonium nitrate providing a more balanced outcome by enhancing nitrogen use efficiency while limiting downward nitrogen redistribution. Statistical analyses confirmed significant main and interaction effects of year, biochar rate, fertilizer source, and soil texture (p < 0.05). Correlation analysis demonstrated a strong positive relationship between grain yield and dry matter (r = 0.93 ** ), alongside negative associations between sub-root-zone NO 3 – -N values, grain yield, and grain protein concentration, highlighting nitrogen use efficiency as a key integrative mechanism linking agronomic performance and nitrogen redistribution. Integrated simulations using APSIM-Wheat and HYDRUS-2D reproduced crop growth dynamics across soil textures but exhibited systematic bias in simulating downward nitrogen redistribution, with overestimation at low biochar rates and underestimation at higher rates. These discrepancies likely reflect structural limitations in representing time-dependent biochar effects, dynamic sorption processes, and microbially mediated nitrogen transformations rather than deficiencies in experimental data. Overall, the findings demonstrate that biochar–nitrogen integration can enhance wheat productivity and moderate downward nitrogen redistribution under semi-arid conditions, provided that biochar rate and fertilizer source are carefully matched to soil texture. Moderate biochar inputs represent a context-specific compromise between agronomic benefits, environmental protection, and practical feasibility in semi-arid wheat systems.

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

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Claims 12

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In sandy loam soils, higher biochar rates combined with urea enhanced wheat grain yield.

Treatment
higher biochar rates combined with ureae1
Outcome
grain yielde1
Direction
enhancede1
Qualifier
sandy loam soilse1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“In sandy loam soils, higher biochar rates combined with urea enhanced grain yield”

✓ located verbatim in the source · abstract, characters 184–265 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

In sandy loam soils, higher biochar rates combined with urea were associated with increased sub-root-zone NO3-N values in wheat.

Treatment
higher biochar rates combined with ureae1
Outcome
sub-root-zone NO 3 – -N valuese1
Direction
increasede1
Qualifier
sandy loam soilse1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“In sandy loam soils, higher biochar rates combined with urea enhanced grain yield but were associated with increased sub-root-zone NO 3 – -N values”

✓ located verbatim in the source · abstract, characters 184–331 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In silty clay loam soils, moderate biochar application (about 40 t ha-1) combined with ammonium nitrate improved nitrogen use efficiency.

Treatment
moderate biochar application (≈40 t ha −1 ) combined with ammonium nitratee1
Outcome
nitrogen use efficiencye1
Direction
improvinge1
Qualifier
silty clay loam soilse1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“In silty clay loam soils, moderate biochar application (≈40 t ha −1 ) combined with ammonium nitrate provided a balanced agronomic–environmental outcome, improving nitrogen use efficiency”

✓ located verbatim in the source · abstract, characters 416–603 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In silty clay loam soils, moderate biochar application (about 40 t ha-1) combined with ammonium nitrate limited downward nitrogen redistribution.

Treatment
moderate biochar application (≈40 t ha −1 ) combined with ammonium nitratee1
Outcome
downward nitrogen redistributione1
Direction
limitinge1
Qualifier
silty clay loam soilse1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“In silty clay loam soils, moderate biochar application (≈40 t ha −1 ) combined with ammonium nitrate provided a balanced agronomic–environmental outcome, improving nitrogen use efficiency while limiting downward nitrogen redistribution”

✓ located verbatim in the source · abstract, characters 416–651 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Grain yield of wheat was strongly correlated with dry matter accumulation (r = 0.93).

Treatment
dry matter accumulatione1
Outcome
Grain yielde1
Direction
increaseinferrede1
Value
r = 0.93 **e1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“Grain yield was strongly correlated with dry matter accumulation (r = 0.93 ** )”

✓ located verbatim in the source · abstract, characters 655–734 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Sub-root-zone NO3-N values were negatively associated with wheat grain yield and grain protein concentration.

Treatment
sub-root-zone NO 3 – -N valuese1
Outcome
grain yield, and grain protein concentratione1
Direction
decreaseinferrede1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“negative associations between sub-root-zone NO 3 – -N values, grain yield, and grain protein concentration”

✓ located verbatim in the source · abstract, characters 3035–3141 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

APSIM-Wheat and HYDRUS-2D reproduced wheat crop growth dynamics across soil textures.

Outcome
reproduced crop growth dynamicse1
Comparator
soil texturese1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“Integrated simulations using APSIM-Wheat and HYDRUS-2D reproduced crop growth dynamics across soil textures”

✓ located verbatim in the source · abstract, characters 3270–3377 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The simulations overestimated downward nitrogen redistribution at low biochar rates compared with higher rates.

Treatment
biochar ratese1
Outcome
simulating downward nitrogen redistributione1
Direction
overestimatione1
Comparator
higher ratese1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“systematic bias in simulating downward nitrogen redistribution, with overestimation at low biochar rates and underestimation at higher rates”

✓ located verbatim in the source · abstract, characters 3392–3532 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The simulations underestimated downward nitrogen redistribution at higher biochar rates compared with low rates.

Treatment
biochar ratese1
Outcome
simulating downward nitrogen redistributione1
Direction
underestimatione1
Comparator
low biochar ratese1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“systematic bias in simulating downward nitrogen redistribution, with overestimation at low biochar rates and underestimation at higher rates”

✓ located verbatim in the source · abstract, characters 3392–3532 · show in text ↑
Mechanismhypothesisoriginal resultbasis n/a

Claim · model-written summary

The simulation discrepancies likely reflect structural limitations in representing time-dependent biochar effects, dynamic sorption processes and microbially mediated nitrogen transformations.

Outcome
discrepanciese1
Qualifier
structural limitations in representing time-dependent biochar effects, dynamic sorption processes, and microbially mediated nitrogen transformationse1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“These discrepancies likely reflect structural limitations in representing time-dependent biochar effects, dynamic sorption processes, and microbially mediated nitrogen transformations rather than deficiencies in experimental data”

✓ located verbatim in the source · abstract, characters 3534–3763 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Soil-specific integration of biochar rate and nitrogen fertilizer source is recommended over universal strategies for enhancing wheat productivity while moderating environmental risk.

Treatment
soil-specific integration of biochar rate and nitrogen fertilizer sourcee1
Outcome
enhancing productivity while moderating environmental riske1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“The results emphasize that soil-specific integration of biochar rate and nitrogen fertilizer source, rather than universal application strategies, is essential for enhancing productivity while moderating environmental risk in semi-arid wheat systems”

✓ located verbatim in the source · abstract, characters 1123–1372 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Year, biochar rate, fertilizer source and soil texture had significant main and interaction effects in the wheat trials.

Outcome
main and interaction effects of year, biochar rate, fertilizer source, and soil texturee1
Qualifier
p < 0.05e1

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 yield”

✓ located verbatim in the source · title, characters 65–76 · show in text ↑
e1

“Statistical analyses confirmed significant main and interaction effects of year, biochar rate, fertilizer source, and soil texture (p < 0.05)”

✓ located verbatim in the source · abstract, characters 2766–2907 · show in text ↑

ammonium nitrate · nutrient: efficiency · Triticum aestivum (wheat)Results agree

2 papers: 2 positive, 0 negative or no effect

1 paper in the same direction as this paper

  1. positive
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biochar · yield · Triticum aestivum (wheat)Positive and negative results

121 papers: 111 positive, 10 negative or no effect

110 papers in the same direction as this paper · 10 in the opposite direction

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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
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biochar · nutrient: efficiency · Triticum aestivum (wheat)Results agree

9 papers: 9 positive, 0 negative or no effect

8 papers in the same direction as this paper

  1. positive
  2. positive
  3. positive

5 papers more in this group

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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.