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Record W7029871437

Management Requirements for Dryland Creeping Bentgrass Seed Production

2024· article· en· W7029871437 on OpenAlexaboutno aff

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Spring (device)Human fertilizationNitrogenDryland farming
DOInot available

Abstract

fetched live from OpenAlex

An extensive research project was initiated in 1992 to develop a dryland seed production system for creeping bentgrass (Agrostis stolonifera L.) in western Canada. Two objectives involved determining the appropriate renovation method and spring nitrogen timing and rate to maximize seed yield. Renovation experiments included scalping, mowing, aeration, tillage, burning and chemical and mechanical gapping and spring N fertilization experiments included at 0, 50, 100, and 150 kg N ha-1 at two dates. Scalping (removal of stubble and growth to 1.25 cm) showed the greatest potential to maintain seed yields. Timing of renovation was also important with early (after harvest) treatments superior as they allowed an adequate regrowth period prior to winter. Spring nitrogen applications of greater than 50 kg ha-1 did not show increased seed yields. Dryland seed production is possible in the higher rainfall areas of western Canada with yields ranging from 50 to 500 kg ha-1, but attention to recommended management practices is essential given the short growing season.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.658

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)0.0010.000

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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