Distinct stimuli-induced flowering: characterizing the hormonal and genetic regulation in day-neutral Fragaria species
Notice bibliographique
Résumé
Strawberry cultivation is an important sector for the Québec horticulture industry in terms of revenue as it represents 47% of Canada’s total production. In Québec, strawberry producers face challenges such as shorter production periods and soilborne diseases that severely impact fruit production. To overcome existing challenges, day-neutral (DN) cultivars are increasingly grown in soilless media, which resulted in extended harvesting season and improved fruit yield. Despite the increasing use of DNs in Québec, very little work has been done on DN strawberry production under local conditions, thus, available information is very limited. In this project, we determined the effect of environmental stimuli that can stimulate flower bud induction (FBI) in the widely grown DN cultivar ‘Albion’ and evaluated the molecular and metabolic mechanism that controls the flowering. The FBI is considered as the most reliable and critical factor for the successful cultivation of the crop as it directly contributes to the qualitative and quantitative characteristics of strawberry fruit. Results demonstrated that low nitrogen (N) supply and long day (LD) photoperiod triggers the FBI process during the later stages in the growing season, while elevated N supply seems to enhance LD-induced effect on flower bud induction in DNs. Flowering in ‘Albion’ was unaffected under LD photoperiod when incandescent light was used as the predominant light source. Whereas flowering increased considerably under LD photoperiod supplied with light-emitting diodes (LEDs). The combination of two narrow-band light sources of far-red (FR) and blue (B) LEDs at a ratio of 1:5, also referred as dominant blue, significantly stimulated FBI and ensures healthy plant quality during transplant production. The supplementation of dominant blue LEDs coupled with LD photoperiod and night interruption amplifies the impact on flowering.Flowering in plants involves distinct molecular mechanisms and hormonal signaling. The flowering pathways have been extensively studied in seasonal strawberry. However, it is poorly understood in DN strawberry cultivars. To understand the mechanism for light quality control of flowering in DN cultivars, we have examined the transcript level of floral-related genes and concentration levels of plant hormones during the FBI process. The transcript level of flowering-related genes i.e., FvFT1 and FvTFL1 were recognized at a higher fold change under dominant blue LEDs, suggesting that both genes are involved in flowering in response to light quality, although, flowering seems to occur independently of FvTFL1. In contrast to ‘Albion’, ‘Alexandria’ displayed strong flowering inhibition in all the FR and B combinations when supplemented during night interruption. Our findings postulate that FR light-controlled phytochromes may be involved in the floral inhibition response in F. vesca through differential regulation of the FvFT1 transcription factor. Further, increased levels of gibberellins and cytokinin in the crown tissue seems to regulate FBI during transplant production in both woodland and cultivated strawberry. Our results highlight that dominant blue LEDs could be a potential light source to improve flowering traits that subsequently can increase fruit production and extend the harvesting season for DN strawberry cultivars
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».