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Kinetics and dynamics of dissolved organic nitrogen, and nitrogen cycling genes in the soil profile of an irrigated vineyard with surface-applied organic amendments

2025· article· en· W4408977982 on OpenAlex
Mehdi Sharifi, Lori A. Phillips, S. Zintel, Brent Seuradge

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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeoderma · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaGovernment of Canada
KeywordsVineyardCyclingNitrogenEnvironmental scienceNitrogen cycleEnvironmental chemistrySoil scienceChemistryForestryBiologyHorticultureGeography

Abstract

fetched live from OpenAlex

Understanding the dynamics of dissolved organic nitrogen (DON) in the vineyard’s soil is crucial for nitrogen (N) management in this agroecosystem. This study investigated the kinetics and dynamics of DON, including underlying microbial mechanisms, in the soil profile of an irrigated Merlot vineyard in the Okanagan Valley, BC, Canada. Biennial treatments from 2011 to 2018 included wood-based mulch with or without agricultural compost (26.7 and 13.7 Mg ha−1 fresh weight, respectively) and a non-amended control. In the Fall of 2018, composite soil samples were collected at 15 cm intervals down to 60 cm depth. Microbial N cycling functional potential was determined, and initial DON concentrations, and potentially releasable DON (N0-DON), and the DON release rate constant (k-DON) were assessed via 100-day aerobic incubation. Pre-incubation DON levels (0.89–44.1 mg N kg−1) were higher in mulch + compost ≥ mulch > control and decreased with depth. DON release followed first-order kinetics, with N0-DON ranging from 12.1 to 188 mg N kg−1 and being unaffected by amendments, but decreased with depth. Cumulative DON averaged 33.8 mg N kg−1 and was also unaffected by amendments, but it decreased with depth. The k-DON (0.016–0.224 wk−1) was influenced by amendments and depth, with higher values in mulch + compost compared to mulch-only and control, and it declined with depth. Organic amendments doubled bacterial proteolytic capacity, positively correlating with N parameters. Bacillota-related proteolytic (npr) and nitrate reduction (nrfA) genes were associated with cumulative DON and nitrate release during the incubation, suggesting that mineral N released by proteolytic activity was re-immobilized into microbial biomass, maintaining plant-available N throughout the soil profile. First-order kinetics further support the key role of soil organisms in DON dynamics. In low-N systems like vineyards, DON supply rivals mineral N and increases with organic amendments. While DON supplementation supports mineral N supply, its potential capacity diminishes over the long term, necessitating periodic applications to maintain effectiveness. The relatively fast release of Nmin and DON from mulch + compost makes it ideal for early spring applications to synchronize N release with grapevine N uptake. These findings are particularly relevant for organic vineyards with limited access to N sources.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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