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Record W7116699210 · doi:10.71318/apom.2017.71.4.250

Performance of Three PyrusPear Rootstocks in Northeastern NorthAmerica

2017· article· W7116699210 on OpenAlexaboutno aff
Jaume Lordan, Suzanne Blatt, Poliana Francescatto, Charles G. Embree, Terence L. Robinson

Bibliographic record

VenueJournal of American Pomological Society · 2017
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRootstockPEAROrchardYield (engineering)Fruit treeGrowing season

Abstract

fetched live from OpenAlex

The adoption of high-density orchards over the past decades has resulted in significant improvements in yield and fruit quality. For pear, however, the lack of precocious rootstocks means that full production is often achieved many years after orchard establishment and remains one of the main challenges in pear production. In 2004, one coordinated rootstock field trial was established at two locations in the USA and Canada. The trials compared three Pyrus communisrootstocks: Old Home × Farmingdale (OHF) 97, OHF87 and Pyrodwarf, with 'Taylor's Gold Comice' and 'Concorde' pear as cultivars. After 12 years of growth, trees with OHF97 and OHF87 were the most vigorous under conventional management compared to Pyrodwarf. 'Taylor's Gold Comice' trees on Pyrodwarf rootstocks were 30% smaller than on OHF rootstocks. Cumulative yields were highest from 'Concorde' compared with 'Taylor's Gold Comice'. There were similar values regarding cumulative yield efficiency among the three rootstocks, and fruit size was generally smaller with Pyrodwarf, which also had the most suckers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.093
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.256
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes1
Has abstractyes

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