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Record W7096756139

GREENS-TYPE ANNUAL BLUEGRASS RESISTANCE TO ABIOTIC AND BIOTIC STRESSES DURING WINTER

2014· article· en· W7096756139 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAbiotic componentSnowResistance (ecology)Poa annuaFreezing toleranceAdaptation (eye)Biotic componentGrowing season
DOInot available

Abstract

fetched live from OpenAlex

Unseeded annual bluegrass (Poa annua L.) is an important component of golf greens in many regions of northern countries. Although this turfgrass species has desirable playing attributes, it suffers from susceptibility to environmental and biological stresses including subfreezing temperatures, anoxia, and snow molds. During the last decade (1999-2008), we undertook a series of experiments to better understand the mechanisms of adaptation and resistance of annual bluegrass to winter biotic and abiotic stresses. When assessing freezing tolerance of three genotypes originating from North Eastern Canada and United States, we observed that the genotypes differed significantly in their freezing tolerance with an unexpected lower level of tolerance for the genotype originating from the most northern latitude, in Québec, where the depth and duration of snow cover are important factors affecting winter survival. After assessing the level of organic reserves, the results showed that the genotype originating from Québec maintained higher levels of reserves than the two other genotypes. Our studies also showed that annual bluegrass is sensitive to anoxic conditions and that its susceptibility could be linked to the reduction of organic reserves under these conditions. We observed large genetic variability for pink snow mold resistance among 29 genotypes collected on

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

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)0.0010.001

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 head0.005
GPT teacher head0.198
Teacher spread0.194 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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