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Record W3080852407 · doi:10.21273/hortsci15238-20

The Study of Genetics of Flower Color in Faba Bean Reveals Generous Diversity to Be Used in the Horticulture Industry

2020· article· en· W3080852407 on OpenAlexafffund
J. T. Hughes, Hamid Khazaeı, Albert Vandenberg

Bibliographic record

VenueHortScience · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Pulse GrowersInnovationsfondenWestern Grains Research FoundationUniversity of Saskatchewan
KeywordsPetalBiologyInheritance (genetic algorithm)Ornamental plantBotanyGeneHorticultureGenetics

Abstract

fetched live from OpenAlex

The horticulturally valuable traits of faba bean are poorly explored, including the available information on the genetics of flower color and pattern. This lack of understanding has reduced the inclusion of unique flower color into the horticultural-type faba bean market. The modes of inheritance of two flower colors (red petals and yellow spot on wing petals) were examined through the development of multiple F 2 segregating populations. The inheritance of red flower was confirmed for two recessive genes and yellow wing spot inheritance was confirmed for a single recessive gene. These populations led to the discovery of combinations of red and yellow flower color that have not been previously reported. The solid wing petal color gene was confirmed as a single recessive gene. Understanding the inheritance of flower color in faba bean can lead to improvement of current vegetable types and opens up possibilities for ornamental markets.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.058
GPT teacher head0.228
Teacher spread0.170 · 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

Citations10
Published2020
Admission routes2
Has abstractyes

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