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Record W4415897985 · doi:10.1016/j.geodrs.2025.e01024

Conventional and industrial by-product fertilization do not induce greenhouse gas emissions in sandy soils under wild lowbush blueberry cropping in eastern Canada

2025· article· en· W4415897985 on OpenAlex
Anthony J. Pelletier, Patrick Faubert, Jean Lafond, Normand Bertrand, Jean Legault, Rock Ouimet, David E. Pelster, André Pichette, Noura Ziadi, Maxime C. Paré

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeoderma Regional · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsMinistry of Natural Resources and WildlifeMinistère des Forêts, de la Faune et des ParcsAgriculture and Agri-Food CanadaUniversité du Québec à Chicoutimi
FundersNatural Sciences and Engineering Research Council of CanadaCentre québécois de recherche et de développement de l’aluminiumRio TintoUniversité du Québec à Chicoutimi
KeywordsNitrous oxideGreenhouse gasPruningHuman fertilizationSoil waterFertilizerNitrogenGreenhouse

Abstract

fetched live from OpenAlex

Greenhouse gas (GHG) emissions from wild lowbush blueberry (WLB) production after fertilization with conventional mineral (MIN) and organic (ORG) or industrial pulp and paper mill sludge (PPMS) and synthetic anhydrite (SA; calcic amendment; CaSO 4 ) remain unknown. We assessed nitrous oxide (N 2 O) and methane (CH 4 ) emissions following application of combined PPMS and SA under WLB production compared to MIN and ORG fertilizers during a two-year cropping cycle. A 50 kg nitrogen (N) ha −1 recommended input was broadcasted before stem emergence during the pruning phase with MIN, ORG, and PPMS treatments alongside an unfertilized control (0 N; CTL). The PPMS treatment was also combined with SA as 6 Mg ha −1 (1SA) and 12 Mg ha −1 (2SA) inputs, which were also applied alone for a total of eight treatments. The GHG emissions were monitored using non-flow-through, non-steady-state chambers during two growing seasons. The N 2 O and CH 4 emissions were unaffected by fertilizer applications. The N 2 O emissions were significantly higher during the pruning phase (0.06 ± 0.009 kg N 2 O-N ha −1 yr −1 ) than during the harvesting phase (0.03 ± 0.005 kg N 2 O-N ha −1 yr −1 ). The fertilizer-induced emission factor (FIEF) values (−0.01 ± 0.02 %) were much lower than the default 1 % used for GHG inventories. A CH 4 uptake was observed during both growing seasons, with higher uptake during the pruning phase (−2.1 ± 0.1 kg CH 4 -C ha −1 yr −1 ) than in the harvesting phase (−1.6 ± 0.1 kg CH 4 -C ha −1 yr −1 ). High aeration of sandy soils combined with low soil NO 3 contents (0.9 μg NO 3 -N cm −2 yr −1 during the pruning phase) might constrain N 2 O emissions. Proposed WLB-specific FIEF should be used in future GHG inventories to prevent emission overestimates. Further research is needed on the agronomic benefits and yield effects of combining PPMS and SA for WLB productivity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.902

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 head0.065
GPT teacher head0.266
Teacher spread0.201 · 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