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Record W1968427151 · doi:10.1139/b04-168

Path models for the abscission of reproductive structures in three contrasting cultivars of faba bean (<i>Vicia faba</i>)

2005· article· en· W1968427151 on OpenAlexvenueno aff
Samira Chbouki, Bill Shipley, Ahmed Bamouh

Bibliographic record

VenueCanadian Journal of Botany · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVicia fabaAbscissionInflorescenceBiologyCultivarIndeterminate growthHabitCompetition (biology)ViciaAgronomyBotanyIdeotypeEcology

Abstract

fetched live from OpenAlex

We hypothesized that the differences in the amount of abscission of reproductive structures in three physiological types of faba bean (Vicia faba L.) were due to different physiological responses to an internal competition for resources in the plant. Vicia faba 'Aguadulce' has an indeterminate growth habit and a dichotomous system of vascularization in its inflorescences. Vicia faba 'D83146-123' has a determinate growth habit and a dichotomous system of vascularization in its inflorescences. Vicia faba 'B 87.151' has an indeterminate growth habit and an independent vascular system in its inflorescences. Flower and pod abscission were related to growth and developmental attributes using multiple regressions as well as path analysis. The path models showed that abscission in the determinate growth cultivar was positively related to plant height and branch number, suggesting that competition for vegetative growth is still responsible for abscission in this cultivar. Future breeding should focus on reducing branch number in this cultivar. Results suggest that competition between reproductive structures has been attenuated in the independent vascular system cultivar even if flowers and pods continue to abscind. Further selection should be concentrated on a reduction of height and an independent vascular system within the stem to reduce competition between inflorescences. Key words: faba bean, flower abscission, pod abscission, path analysis, Vicia faba.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.971

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 head0.024
GPT teacher head0.205
Teacher spread0.180 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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