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Record W2054803073 · doi:10.13031/2013.8826

INTEGRATION OF LIQUID MANURE INTO CONSERVATION TILLAGE CORN SYSTEMS

2002· article· en· W2054803073 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

VenueTransactions of the ASAE · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAgronomyFertilizerManureTillageEnvironmental scienceLiquid manurePhosphorusNutrientChemistryBiology

Abstract

fetched live from OpenAlex

Intensive cultivation and chemical fertilizer application resulting from traditional management practices insouthwestern Ontario, Canada, require high energy input and cause soil loss. Four field experiments were conducted overthree years in four mixed farms under notillage and minimum tillage corn (Zea mays L.) systems. The effects of fertilizersource and manure application timing, rate, and method on soil nutrient concentrations, corn grain yields, and groundwaternitrate concentrations were investigated. Three experiments included three basic treatments of fertilizer source: inorganic(chemical) fertilizer, liquid manure, and a combination of inorganic fertilizer and liquid manure. The other experimentincluded five treatments: preplant manure with and without incorporation by an aeration implement, sidedress manure withand without incorporation by a disc implement, and sidedress inorganic fertilizer.<br><br>Soil samples (0300 or 0600 mm depth) for analysis of soil nitratenitrogen (NO3N), phosphorus (P), and potassium(K) concentrations were taken periodically each year, including soil residual NO3N concentrations measured in the fall afterharvest. Weed biomass and corn grain yields were also measured. In general, higher NO3N concentrations were observedin those plots where nitrogen sources had been applied shortly before soil sampling. Trends of residual NO3N concentrationsvaried among experiments, and results were inconclusive. Twofold higher P concentrations were observed in the manuredplots than in the inorganically fertilized plots as a result of higher P2O5 inputs from swine manure. Farmers who apply liquidmanure to their notillage cornfields should be prepared for the possibility of additional weed pressure, especially usingpreplant manure application or sidedressing manure without a starter fertilizer. A 6% increased or comparative corn grainyield was achieved using liquid manure as a fertilizer source when weeds were not a problem. Considering the reduced riskof P runoff and the increased yield potential, the combined treatments, including preplant manure with sidedress inorganicfertilizer and starter fertilizer with sidedress manure, are recommended.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.195

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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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