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Record W4412642898 · doi:10.1007/s10705-025-10424-6

Effects of urea micronized sulfur combined with urease and nitrification inhibitors on nitrogen transformation, losses, and crop response

2025· article· en· W4412642898 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNutrient Cycling in Agroecosystems · 2025
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsShell (Canada)
FundersShell
KeywordsNitrificationUreaNitrogenUreaseChemistrySulfurAgronomyTransformation (genetics)Environmental chemistryBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract While fertilizers are vital for food production, their environmental and health impacts require continual advancement. This study explored new micronized sulfur-containing nitrogen fertilizers (UREA-ES) that offer potential benefits compared to traditional options. The objective was to understand the transformation and loss pathways of UREA-ES, such as 40-0-0-13 (UREA-ES40) and 11-0-0-75 (UREA-ES11) in two different soils. This study evaluated the transformation and loss pathways of nitrogen (N) from the above fertilizers with and without urease (UI) and nitrification (NI) inhibitors in comparison to urea. Results of the study showed that the UREA-ES fertilizers had lower and delayed ammonia (NH 3 ) volatilization compared to urea treatment (UREA). The use of UI with UREA-ES fertilizers reduced NH 3 volatilization losses more effectively than UI with UREA, indicating potential synergies between UI and sulfur (S). The hydrolysis of UREA-ES fertilizers was slowed down by the UI under both acidic and alkaline conditions, similar to UREA fertilizer. The coating of UREA-ES fertilizers with UI + NI significantly delayed NH 4 + nitrification. Coating UREA-ES fertilizers with UI or UI + NI delayed nitrate leaching losses, indicating prolonged N availability in the soil. These results were corroborated by a greenhouse sorghum study where UREA-ES fertilizers with UI or UI + NI led to higher total N uptake and higher grain yield than UREA fertilizer with UI or UI + NI. UREA-ES fertilizers also resulted in higher total S uptake by sorghum, indicating improved S nutrition. Overall, the study revealed UREA-ES fertilizers had significantly improved total N uptake by sorghum and had significantly higher grain yields, especially at lower N application rates due to decreased N losses. Both UI and NI showed potential benefits for UREA-ES fertilizers compared to traditional UREA, including reduced NH 3 volatilization losses, delayed nitrate formation, and enhanced N uptake by plants, resulting in increased grain yields, especially at the lower N application rate (75 kg N ha⁻ 1 ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.190
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it