MétaCan
Menu
Back to cohort
Record W2971008827 · doi:10.2134/agronj2018.10.0653

Agronomic and Economic Benefits of Rotating Corn with Soybean and Spring Wheat under Different Tillage in Eastern Canada

2019· article· en· W2971008827 on OpenAlexafffundabout
Bernard Gagnon, Stéphan Pouleur, Jean Lafond, Gaétan Parent, Denis Pageau

Bibliographic record

VenueAgronomy Journal · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsAgronomyTillageCrop rotationPloughStrawRotation systemYield (engineering)CropMathematicsEnvironmental scienceBiologyChemistryNitrogen

Abstract

fetched live from OpenAlex

Agronomic and economic performance of the corn ( Zea mays L.)–soybean [ Glycine max (L.) Merr.] rotation is well documented, but few studies have investigated the addition of spring wheat ( Triticum aestivum L.) to this rotation, particularly at the northern limit of corn and soybean production in North America. A 6‐yr field study was initiated in 1999 on a clay soil in eastern Canada to identify the best crop rotation (continuous corn, continuous soybean, corn–soybean, corn–corn–soybean, corn–soybean–spring wheat, or corn–spring wheat–soybean) under moldboard plow (MP) and reduced tillage (RT) in terms of grain yield, soil aggregate distribution, and annual net returns. To isolate the effect of annual climatic conditions, all crop phases of each rotation were present each year for a total of 13 rotation sequences within each soil tillage practice. Corn grown in rotation had greater yield (+0.6 to +0.9 Mg ha −1 ) than continuous corn or second‐year corn regardless of soil tillage. Soybean grown once every 3 yr had consistently greater yields (+0.20 Mg ha −1 ) than continuous soybean. The addition of spring wheat in the rotation improved both corn and soybean yields compared with either continuously cropped. The RT management did not affect crop yield but increased the soil macro‐aggregation only when corn was present in the rotation. Economic analysis revealed that continuous soybean, the 3‐yr corn–soybean–spring wheat with wheat straw being sold, and the 2‐yr corn–soybean were the most profitable and most efficient rotations when averse risk is considered. Core Ideas Corn in rotation yielded 0.7 Mg ha −1 more than continuous corn, regardless of soil tillage. Soybean grown once every 3 yr had consistently higher yields than continuous soybean. Including spring wheat in the corn and soybean continuous cropping improved corn and soybean yields. Reduced tillage did not affect crop yield but improved soil macro‐aggregation when corn grown continuously or in rotation. Continuous soybean, corn–soybean, and 3‐yr rotation with corn, soybean, and spring wheat with wheat straw being sold were the most efficient economic rotations when considering the risk aversion.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.925

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 head0.009
GPT teacher head0.172
Teacher spread0.164 · 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 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

Citations16
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueAgronomy JournalSame topicSoil Carbon and Nitrogen DynamicsFrench-language works237,207