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Record W2910283829 · doi:10.1139/cjfr-2018-0411

Optimising spot weed control regimes for <i>Pinus radiata</i> plantations

2019· article· en· W2910283829 on OpenAlexvenueno aff
B. Richardson, Mark O. Kimberley, Carol A. Rolando, Graham Coker, S. F. Gous

Bibliographic record

VenueCanadian Journal of Forest Research · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPinus radiataRadiataWeed controlWeedHerbaceous plantAgronomyBiologyEnvironmental scienceAgroforestryVignaBotany

Abstract

fetched live from OpenAlex

Spot spraying, in which only the area around individual trees is treated, is an important method of herbicide application during establishment of Pinus radiata D. Don (radiata pine) in New Zealand. Minimising the spot size reduces costs and has possible environmental benefits from reduced overall herbicide use. An analysis of six experiments at five separate sites tested the growth response of P. radiata to spot weed control on sites dominated by herbaceous vegetation, usually as a result of oversowing with a mixture of grasses and legumes. The analysis showed that, on sites dominated by herbaceous weeds, the reduction in rotation length achieved by applying total weed control compared with no postplant weed control ranged from 0.4 to 1.6 years and averaged 0.9 years. A spot diameter of 1 m maintained for 1 year achieved 28% of the benefit of total weed control, whereas a spot diameter of 2 m maintained for 1 year achieved 66% of the benefit. Generally, there was little benefit in maintaining spots beyond 1 year. An economic analysis indicated that weed control of any kind was generally unprofitable when the time-shift gain from weed control was 0.4 years or less but highly profitable for sites with a time shift of 1.6 years or more.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.287
Teacher spread0.246 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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