Genotype-specific responses to
In vitro drought stress
Machine learning
Myrtle
PEG
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2024
2024
Historique:
received:
22
04
2024
accepted:
20
08
2024
medline:
11
10
2024
pubmed:
11
10
2024
entrez:
11
10
2024
Statut:
epublish
Résumé
Myrtle ( This study investigated the performance of selected myrtle genotypes under The research revealed a genotype-dependent response to drought stress. Black-fruited genotypes exhibited higher micropropagation rates compared to white-fruited ones under stress conditions. The application of ML models successfully predicted micropropagation and rooting efficiency, providing insights into genotype performance. The findings suggest that selecting drought-tolerant genotypes is crucial for enhancing myrtle cultivation. The results underscore the importance of genotype selection and optimization of cultivation practices to address climate change impacts. Future research should explore the molecular mechanisms of stress responses to refine breeding strategies and improve resilience in myrtle and similar economically important crops.
Sections du résumé
Background
UNASSIGNED
Myrtle (
Methods
UNASSIGNED
This study investigated the performance of selected myrtle genotypes under
Results
UNASSIGNED
The research revealed a genotype-dependent response to drought stress. Black-fruited genotypes exhibited higher micropropagation rates compared to white-fruited ones under stress conditions. The application of ML models successfully predicted micropropagation and rooting efficiency, providing insights into genotype performance.
Conclusions
UNASSIGNED
The findings suggest that selecting drought-tolerant genotypes is crucial for enhancing myrtle cultivation. The results underscore the importance of genotype selection and optimization of cultivation practices to address climate change impacts. Future research should explore the molecular mechanisms of stress responses to refine breeding strategies and improve resilience in myrtle and similar economically important crops.
Identifiants
pubmed: 39391827
doi: 10.7717/peerj.18081
pii: 18081
pmc: PMC11466237
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e18081Informations de copyright
© 2024 Bektaş et al.
Déclaration de conflit d'intérêts
Taner Bozkurt is employed by Tekfen Agricultural Research Production and Marketing Inc.