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Record W4405394528 · doi:10.1016/j.soilbio.2024.109694

Evidence of the need for crop-specific N2O emission factors

2024· article· en· W4405394528 on OpenAlexafffund
Akeem Shorunke, Bobbi L. Helgason, R. Farrell

Bibliographic record

VenueSoil Biology and Biochemistry · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsUniversity of Saskatchewan
FundersAgriculture and Agri-Food CanadaMinistry of Agriculture - SaskatchewanUniversity of Saskatchewan
KeywordsCropEnvironmental scienceAgronomyBiology

Abstract

fetched live from OpenAlex

Crop residues are an important source of N for subsequent crops and contribute to cropping system nitrous oxide (N 2 O) emissions. Oilseed residues, particularly canola ( Brassica napus L.), can instigate higher N 2 O emissions compared to pulse and wheat crop residues but the reason for this disproportionate emission response is unknown. To determine the quantity and source of N 2 O emissions, we conducted an incubation experiment (84 d) using 15 N and 13 C labelled residues of canola, wheat, flax, pea and investigated key N-cycling gene abundances, microbial abundance and community structure using PLFA and soil C and N dynamics. Residue addition of all types significantly increased microbial abundance and abundances of denitrification and nitrification genes. Canola residue resulted in significantly greater nosZI abundance. Lower incorporation of canola residue 13 C into PLFA and higher 13 CO 2 emissions suggests that canola residue C was used less efficiently (i.e., less for growth and more for respiration), depleting O 2 and stimulating denitrification. The magnitude of N 2 O emission from residue-amended soils was significantly higher ( p < 0.05) than the unamended control soil and differed with residue type: canola > pea = wheat > flax > control. The canola residue emission factor was 1.56% of residue N – significantly higher than that of wheat (0.99%), pea (0.95%) and flax (0.18%). This higher canola emission factor resulted from greater residue-derived (1.47%) N 2 O as well as residue-induced (0.65%) soil emissions. The combined use of stable isotope tracing of 15 N 2 O and 13 CO 2 and microbial characterization quantified differences in residue-derived N 2 O emissions from common crops that were linked to differences in microbial abundance, community structure and activity. • Carbon and nitrogen in crop residues are important substrates for microbial metabolism. • Canola, pea, wheat and flax residues shape microbial abundance and activity differently. • Crop residue N is a source of N 2 O and can stimulate N 2 O emission from soil N pools. • Enhanced N 2 O emissions from canola related to microbial activity more than community structure. • Soil N 2 O emission highest in canola and lowest in flax (1.6–0.2 % of residue N).

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.

How this classification was reachedexpand

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 score0.179
Threshold uncertainty score0.281

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 head0.025
GPT teacher head0.250
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

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