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Record W2102893047 · doi:10.1079/ajaa200343

In-row residue management effects on seed-zone temperature, moisture and early growth of barley and canola in a cold semi-arid region in northwestern Canada

2003· article· en· W2102893047 on OpenAlexaffabout
Muhammad Arshad, R. H. Azooz

Bibliographic record

VenueAmerican Journal of Alternative Agriculture · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLoamTillageAgronomySowingCanolaSoil waterConventional tillageWater contentStoverEnvironmental scienceGrowing seasonHordeum vulgareSiltMoistureAnimal scienceCropBiologyPoaceaeChemistrySoil scienceGeology

Abstract

fetched live from OpenAlex

Abstract Spring crop growth is often influenced by water stress and lower soil temperature in the northern Canadian prairies. Tillage system effects on soil temperature, moisture and establishment of barley and canola in silt loam and sandy loam soils in northern British Columbia were investigated in 1992 and 1993. The tillage systems were: no-tillage (NT), modified no-tillage where surface residue was pushed aside from a 7.5cm zone above the planting rows (MNT), and conventional tillage (CT). The MNT and CT had higher weekly maximum and weekly mean seed zone temperatures than NT. Mean weekly maximum seed-zone soil temperature was 1.6°C lower in MNT and 3.7°C lower in NT than in CT during the first 10 weeks after planting (WAP) in 1992. Compared to NT and MNT, barley in CT was slow to establish during the first three WAP in the silt loam in 1992 and 1993, and in the sandy loam in 1992, due to early water stress from low rainfall. Barley emergence was delayed by 6 days in NT and 11 days in CT in 1992 and by 3 days in NT and 7 days in CT in 1993 compared to MNT in the silt loam soil. Early in the growing season, barley growth was retarded more in the CT than NT and MNT at both sites. Canola growth was significantly improved in the MNT over that in the NT and CT in 1993. The MNT was more beneficial for crop establishment during prolonged dry periods than CT, and for emergence and growth compared with NT under extremely wet soil conditions.

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 score0.436
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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

Citations9
Published2003
Admission routes2
Has abstractyes

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