Identification and Development of Pathogen- and Pest-Specific Defense–Resistance-Associated SSR Marker Candidates Assisted by Machine Learning and Discovery of Putative QTL Hotspots in Camellia sinensis

Ayşenur Eminoğlu

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DOI: 10.3390/plants15030454
Published: 2026-02-02
Container: Plants
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/plants15030454,
  title = {Identification and Development of Pathogen- and Pest-Specific Defense–Resistance-Associated SSR Marker Candidates Assisted by Machine Learning and Discovery of Putative QTL Hotspots in Camellia sinensis},
  author = {Ayşenur Eminoğlu},
  year = {2026},
  journal = {Plants},
  doi = {10.3390/plants15030454},
  url = {https://doi.org/10.3390/plants15030454}
}

RIS

TY  - JOUR
TI  - Identification and Development of Pathogen- and Pest-Specific Defense–Resistance-Associated SSR Marker Candidates Assisted by Machine Learning and Discovery of Putative QTL Hotspots in Camellia sinensis
AU  - Ayşenur Eminoğlu
PY  - 2026
JO  - Plants
DO  - 10.3390/plants15030454
UR  - https://doi.org/10.3390/plants15030454
ER  -

APA

Eminoğlu, A. (2026). Identification and Development of Pathogen- and Pest-Specific Defense–Resistance-Associated SSR Marker Candidates Assisted by Machine Learning and Discovery of Putative QTL Hotspots in Camellia sinensis. Plants. https://doi.org/10.3390/plants15030454

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crossref · retrieved 2026-09-25T13:02:48.911Z