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Record W1835438033 · doi:10.4141/cjss2012-115

Growing season N<sub>2</sub>O emissions from two-year potato rotations in a humid environment in New Brunswick, Canada

2013· article· en· W1835438033 on OpenAlexaffvenueabout
Emily Snowdon, Bernie J. Zebarth, David L. Burton, Claudia Goyer, Philippe Rochette

Bibliographic record

VenueCanadian Journal of Soil Science · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsAgriculture and Agri-Food CanadaDalhousie University
Fundersnot available
KeywordsGrowing seasonEnvironmental scienceFertilizerCrop rotationNitrogenAgronomyCropAnimal scienceChemistryBiology

Abstract

fetched live from OpenAlex

Snowdon, E., Zebarth, B. J., Burton, D. L., Goyer, C. and Rochette, P. 2013. Growing season N2O emissions from two-year potato rotations in a humid environment in New Brunswick, Canada. Can. J. Soil Sci. 93: 279–294. Few studies have examined the effects of crop rotation on N2O emissions. This study quantified N2O emissions from seven 2-yr potato rotations over a 3-yr period, 2008–2010, where the potato phase was present in 2008 and 2010. In addition, the potential to predict variation in cumulative growing season N2O emissions was examined using indices of nitrate availability [nitrate exposure (NE), a time integrated measure of soil nitrate concentrations in the surface soil], carbon availability (cumulative growing season CO2emissions) and aeration [time-weighted average water-filled pore space (WFPS)]. In the potato phase of the rotations, even for treatments receiving the same fertilizer N rate (193 kg N ha−1), a wide range in cumulative growing season N2O emissions was measured in both 2008 and 2010 (0.39–1.49 and 0.81–2.03 kg N ha−1, respectively). The NE explained 52 and 70% of the variation in growing season N2O emissions under potato production in 2008 and 2010, respectively. Carbon availability also had a significant effect on N2O emissions, as indicated by increased N2O emissions in rotations where residues of the preceding crop resulted in increased CO2emissions early in the growing season. A large proportion (67%) of the variation in cumulative N2O emissions among rotation crops was also explained by NE. Choice of rotation crop resulted in an almost twofold difference (0.9–1.7 kg N ha−1) in N2O emissions over the 2-yr rotation cycle. Greater N2O emissions over the 2-yr rotation cycle were measured for rotation crops of soybean, Italian ryegrass, red clover and potato than for rotation crops of corn, canola and barley. However, the fertilizer N management in both the potato and rotation crop phases may be as or more important than the choice of rotation crop in influencing the risk of N2O emissions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.179
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations28
Published2013
Admission routes3
Has abstractyes

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