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Record W4406821065 · doi:10.1016/j.cj.2025.01.002

Development and characterization of bacterial wilt-resistant synthetic polyploid peanuts

2025· article· en· W4406821065 on OpenAlex

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.

Bibliographic record

VenueThe Crop Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPeanut Plant Research Studies
Canadian institutionsMinistry of Agriculture
FundersNational Natural Science Foundation of China
KeywordsBacterial wiltPolyploidBiologyBiotechnologyCharacterization (materials science)MicrobiologyGeneticsPloidyNanotechnologyMaterials scienceGene

Abstract

fetched live from OpenAlex

Wild peanut ( Arachis ) species are promising sources of disease resistance for improving peanut cultivars. The objective of this study was to assess cross-compatibility among cultivated and wild peanuts in crosses between eight peanut cultivars and 27 wild species carrying the A, B, E, Ex, F, K, P, and H genomes. Embryo culture and chromosome doubling led to polyploids representing hybrids between cultivated peanut and A. stenosperma, A. macedoi, A. duranensis, A. villosa, and A. diogoi . The first two showed greater resistance to bacterial wilt than their cultivated parents. DNA markers were developed for verifying the hybrids and for identifying translocation or introgression lines with alien chromosome fragments.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.303

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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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