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Record W3179441103 · doi:10.1016/j.still.2021.105121

Long-term effects of crop rotation, tillage, and fertilizer nitrogen on soil health indicators and crop productivity in a temperate climate

2021· article· en· W3179441103 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSoil and Tillage Research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMonocultureAgronomyEnvironmental scienceSoil carbonTillageCover cropCrop rotationCrop yieldFertilizerCropSoil waterBiologySoil science

Abstract

fetched live from OpenAlex

Although diversifying crop rotations with perennials and cover crops and implementing no-tillage practices has been promoted as an effective strategy for increasing soil carbon and nitrogen storage in the long-term, uncertainty still remains, particularly regarding the association between crop productivity and soil health. Therefore, using two long-term experiments, we investigated the effects of crop rotation, tillage system, and nitrogen fertilizer application (at Ridgetown only) on surface soil (0−15 cm depth) parameters (soil organic carbon (SOC), total nitrogen (TN), commercial soil health tests (evolved CO2 and NH3 indicating microbial activity)), and crop yield in 2016. We used 5-yr average crop yield variability to test for the relationship of SOC and TN with crop yield stability. Results indicated that diversification of corn and soybean rotations and their monocultures with cover crops, perennials, and small grain cereals enhanced soil health indicators (by 32% at Ridgetown (21 yr) and 49% at Elora (36 yr)) and crop productivity (16% at Ridgetown and 29% at Elora). At Ridgetown, corn yield was 10.4% greater with including red clover to the corn-soybean-winter wheat than monoculture corn. Similarly, corn yield was enhanced by 25% when alfalfa was added to monoculture corn at Elora. Nitrogen fertilizer application did not increase surface SOC storage at Ridgetown. No-tillage system had greater evolved NH3-N (by 7.2%) and evolved CO2-C (by 27.9%) than conventional tillage at Elora only. Consistent with management effects on crop yield, at both sites, evolved NH3-N and CO2-C were greatest from rotations with winter wheat, red clover, and alfalfa. Additionally, a strong positive relationship of SOC and TN with soil health tests confirms the suitability of the commercial tests to detect management effects on soil health indicators in the long-term. At both sites, SOC positively correlated with crop yield indicating a direct association between soil carbon status and agroecosystem resiliency. We conclude that diversifying crop rotations increases soil microbial activity, surface SOC sequestration, and crop productivity in the long-term; thus, is a critical component for developing sustainable agroecosystems.

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)0.001
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 score0.113
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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