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Record W4415721465 · doi:10.5376/pgt.2025.16.0023

Integrative Breeding Approaches of <i>Nelumbo nucifera</i>: Balancing Ornamental Traits and Edible Values

2025· article· W4415721465 on OpenAlex
Dandan Huang, X. T. Feng, Haimei Wang

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePlant Gene and Trait · 2025
Typearticle
Language
FieldChemistry
TopicChromatography in Natural Products
Canadian institutionsnot available
Fundersnot available
KeywordsLotusGermplasmOrnamental plantMolecular breedingQuantitative trait locusPlant breeding

Abstract

fetched live from OpenAlex

This study summarizes the genetic basis and molecular regulatory mechanisms of lotus in ornamental traits such as flower color, flowering period, and plant type, as well as edible qualities such as tubers and seeds. It introduces the process of flower color formation, elaborates the role of key genes such as MUDS-box in the development of floral organs, and the localization of QTL related to tuber yield and the mining of functional genes. It revealed the accumulation patterns of functional components such as flavonoids in different tissues, providing a theoretical basis for simultaneously improving ornamental and edible traits, and explored comprehensive strategies such as the protection of lotus germplasm resources, the utilization of genetic diversity, and molecular marker-assisted breeding. This study aims to provide a molecular basis and technical support for the synergistic improvement of the ornamental and edible quality of lotus and their industrial application.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.219
Teacher spread0.201 · 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