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Record W2041356230 · doi:10.1300/j492v07n02_07

Cultural and Environmental Factors Associated with Winter Injury to Apple in Northern Eastern Canada

2007· article· en· W2041356230 on OpenAlex
Shahrokh Khanizadeh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Fruit Science · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsOrchardWindbreakLoamRootstockTemperate climateAgronomyCultivarHorticultureGrowing seasonBiologyGeographyEnvironmental scienceAgroforestryEcologySoil water

Abstract

fetched live from OpenAlex

ABSTRACT A survey was conducted in 1995/1996 to identify factors responsible for apple tree mortality in Quebec during the winter of 1993/ 1994. ‘Golden Delicious’, ‘Wealthy’, ‘Mutsu’, ‘Red Delicious’, ‘Golden Russet’ and ‘Yellow Transparent’ were severely injured or killed in all regions, the mortality of other cultivars was mainly affected by certain combinations of cultural and environmental factors. Generally, percent mortality was lower at higher altitudes and in orchards with sufficient snow cover and low density trees. Higher mortality was observed for very young or very old trees, specifically those that had a heavy crop in the previous year or were exposed to wind. Vigorous trees were more susceptible to winter injury than trees of moderate vigor. Less mortality was observed with trees that had been harvested early in the season. Trees on dwarf rootstocks planted in sandy soil, sandy loam, gravel loam, or any soil in combination with sandy or gravel soil type were more susceptible to winter damage. The orchard site and the location of trees in each orchard were the most important factors that affected apple tree mortality. The maximum tree mortality was observed for trees that were exposed to cold air accumulation or in orchards where the flow of cold air was prevented due to obstructions like a natural windbreaks or land topography. The least damage was observed in orchards planted on a slight slope. The absence of a river, or a large body of water nearby increased mortality in all regions. Selection of a good site is the most important factor in controlling winter damage. Our results revealed that even the most hardy cultivar and rootstocks combinations can undergo winter damage when they are planted in an unsuitable site. This is particularly critical for dwarf and semi-dwarf rootstocks.

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.

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 score0.666
Threshold uncertainty score0.995

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 head0.233
Teacher spread0.224 · 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