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Record W4415423498 · doi:10.1016/j.stress.2025.101101

Hormonomics-driven bloom regulation and delay: Enhancing climate resilience in peach

2025· article· en· W4415423498 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

VenuePlant Stress · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsUniversity of the Fraser Valley
FundersNational Institute of Food and Agriculture
KeywordsBloomPhenologyDormancyAbiotic componentJasmonateAnnual growth cycle of grapevinesClimate changeAbiotic stress

Abstract

fetched live from OpenAlex

• Phytohormonal networks orchestrate perennial phenological transitions • A pre-bloom jasmonate surge governs flowering time in peaches • JA-inhibitor antipyrine delays bloom without phytotoxicity or impacting fruit quality • Antipyrine-induced bloom delay mitigates catastrophic spring frost damage in peach buds • Targeted bloom delay is a viable climate adaptation strategy for mitigating frost risk Maintaining phenological synchrony with climate—particularly the timely transition to flowering—is critical for reproductive success in deciduous fruit trees. However, this synchrony is increasingly disrupted by abiotic stressors such as climate-induced spring frosts. Although phytohormonal networks are recognized as central regulators of developmental transitions, an integrative mechanistic understanding of their crosstalk during the dormancy–regrowth cycle remains lacking. Compounding this challenge, proposed bloom-delay agents (e.g., ethephon) often exhibit undesirable phytotoxic effects, underscoring the urgent need for a more robust mechanistic framework to guide the development of targeted and sustainable interventions. To address this, we investigated the phytohormonal landscape in Prunus persica cv. 'Redhaven' floral buds under ethephon treatment throughout dormancy progression, aiming to identify translational opportunities for phytohormone-mediated bloom delay. Our hormonomics analysis revealed dynamic spatiotemporal hormone profiles, notably a sharp increase in jasmonates (JAs) prior to budbreak—suggesting a flower-inducing role for JA. Building on this finding, we evaluated the bloom-delaying potential of two JA biosynthesis inhibitors—antipyrine and propyl gallate—over three consecutive seasons (2023-2025). Antipyrine consistently outperformed propyl gallate, delaying bloom by up to five days without negatively impacting fruit quality or tree health. These findings highlight the JA signaling pathway as a key determinant of floral transition timing in peach and position antipyrine as a promising candidate for bloom regulation. This study provides a mechanistically informed foundation for developing climate-resilient strategies to mitigate frost-induced yield losses in perennial fruit crops.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.123

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 head0.011
GPT teacher head0.213
Teacher spread0.203 · 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