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Record W7047063795

Effect of fall rye cover crop on CO2 and N2O fluxes in the Red River Valley, Manitoba, Canada

2023· dissertation· en· W7047063795 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.

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

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCover cropCanolaCropping systemCropSoil waterCarbon dioxideAgricultureSink (geography)No-till farmingCash crop
DOInot available

Abstract

fetched live from OpenAlex

Cover crops can increase carbon (C) sequestration in soils. However, there is limited understanding of how cover crops affect carbon dioxide (CO2) and nitrous oxide (N2O) fluxes from agricultural soils in the Canadian Prairies. Research was conducted at the Trace Gas Manitoba (TGAS-MAN) long-term research site to determine the effect of a fall rye (Secale cereale L.) cover crop on spring-thaw and post-fertilizer N2O emissions, CO2 fluxes, and grain yield. Fluxes were measured over four years (2019-2022) from four 4-ha fields using the flux gradient method. In the fall of 2018 two fields were seeded no-till with fall rye and two were cultivated and left into winter. The cover crop was terminated the following spring with an herbicide application and the cash crops oats (Avena sativa), canola (Brassica napus), and spring wheat (Triticum aestivum L.) were grown in 2019, 2020, 2021, and 2022. 2020 and 2021 CO2 fluxes were removed due to unreliable data caused by flux measurement equipment. In 2019, C assimilation by the cover crop resulted in the system being a C sink of 424 kg C ha-1 after accounting for harvest removals, and the conventional system was a C source of 248 kg C ha-1. In 2022, wet growing conditions resulted in both cropping systems being a C source, with the conventional and cover crop system losing 1,366 kg C ha-1 and 1,558 kg C ha-1, respectively. The cover crop fields saw lower spring-thaw N2O emissions during years of good cover crop establishment. N2O emissions following fertilizer application and cumulative N2O fluxes were lower in cover crop fields in all study years. Combining cumulative CO2 fluxes and N2O emissions in CO2-equivalents (CO2-eq) in 2019 and 2022, the cover crop system was a net greenhouse gas source of 5,665 CO2-eq ha-1 and the conventional system was a source of 7,653 CO2-eq ha-1. The cover crop did not significantly affect crop yields.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score1.000

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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