‘Viking’ Aronya Çeşidinin In Vitro Şartlarda Bitki Rejenerasyon Protokolünün Belirlenmesi
Abstract
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Supporting Institution
Project Number
Thanks
References
- Kokotkiewicz, A., Jaremicz, Z. Luczkiewicz, M., 2010. Aronia plants: a review of traditional use, biological activities, and perspectives for modern medicine. Journal of Medicinal Food, 13(2), 255-269.
- Engin, S.P., 2020. ‘Nero’ ve ‘Viking’ Aronya (Aronia melanocarpa (Michx) Elliot) çeşitlerinin agromorfolojik özellikleri ve farklı olgunluk seviyelerindeki meyve kalite parametrelerinin belirlenmesi. Uludağ Üniversitesi Bahçe Bitkileri Anabilim Dalı, Bursa.
- Rusea, I., Popescu, A., Isac, V., Șutan, A., Hoza, D., 2019. High efficiency shoot multiplication from in vitro cultured meristems of Aronia melanocarpa cv. Nero. Scientific Papers. Series B. Horticulture, 63(1), 65-74.
- Litwińczuk, W., 2012. Micropropagation of chokeberry by in vitro axillary shoot proliferation, in: protocols for micropropagation of selected economically-important horticultural plants. Eds: Springer, pp:179-186.
- Nas, Z., Eşitken, A., Pirlak, L., 2023. The responses of ‘Viking’ aronia variety to salinity stress under in vitro conditions. Erwerbs-Obstbau, 65(6), 2547-2552.
- Murashige, T., Skoog, F., 1962. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiologia Plantarum, 15(3), 473-497.
- Nas, Z., Eşitken, A., 2023. Micropropagation of an apricot (Prunus armeniaca L.) rootstock candidate. Erwerbs-Obstbau, 65(6), 2357-2365.
- Nas, Z., 2021. Anaçlık potansiyel gösteren 42-01 zerdali genotipinin in vitro mikroçoğaltım özelliklerinin araştırılması. Yüksek Lisans Tezi, Selçuk Üniversitesi, Konya, 51.
Details
Primary Language
Turkish
Subjects
Pomology and Treatment
Journal Section
Research Article
Authors
Zeynep Nas
*
0000-0002-7115-1987
Türkiye
Ahmet Eşitken
0000-0002-6140-7782
Türkiye
Lütfi Pırlak
0000-0003-3630-3591
Türkiye
Publication Date
May 27, 2025
Submission Date
January 13, 2025
Acceptance Date
April 8, 2025
Published in Issue
Year 2025 Volume: 54 Number: 1
Cited By
Artificial Intelligence Models for Predicting Root Traits of Chokeberry Under Salt Stress
Black Sea Journal of Agriculture
https://doi.org/10.47115/bsagriculture.1761077