The importance of biochemical content of fruits in human health and nutrition is understood more and more day by day. In this study, new local varieties were added to apple genetic resources and the correlation between biochemical contents and agro-morphological properties of fruits belonging to them was revealed. It was observed that the total phenolics amount varied between 20.13 (“Bag”) mg GAE kg⁻¹ and 80.59 (“Yeşil”) mg GAE kg⁻¹. The highest total antioxidant capacity was determined as 90.96% in “Yeşil” variety. Potassium (K) content, which is among the macronutrients, was determined as the highest value in “Bağ” variety (7993.31 mg kg⁻¹) and in “Zuza” variety (7983.31 mg kg⁻¹). It was determined that the Fe content (iron) varied between as 14.17 mg kg⁻¹ (“Zuza”) and 5.75 mg kg⁻¹ (“Bağ”) and was higher than other micronutrients. In the light of the results obtained in this study, it was concluded that fruits belonging to new local apple varieties are rich in biochemical contents and these varieties can be used as genetic resources in plant breeding studies.

This study investigates the relationships among fruit quality traits, cracking susceptibility, and bioactive compounds in sweet cherries. Eleven genotypes collected from Northern Anatolia and two standard cultivars were evaluated. Key fruit characteristics were measured, and novel machine learning algorithms were applied to identify associations between variables. A negative correlation was found between the cracking index and fruit weight (r = −0.23), while a positive correlation was observed with total soluble solids (TSS) (r = 0.29). Furthermore, TSS was positively correlated with stem thickness (r = 0.67). Machine learning analyses indicated that DPPH and anthocyanin content were the most influential factors associated with the cracking index. A hybrid analytical pipeline was developed by integrating Principal Component Analysis (PCA) for dimensionality reduction, Random Forest regression for nonlinear prediction and Shapley Additive Explanations (SHAP) for interpretability. This triad offers a robust and replicable framework for trait-dissection studies in horticultural phenotyping, enabling deeper insights into complex trait interactions. These findings suggest that, beyond their recognized health benefits, bioactive compounds also positively contribute to fruit quality parameters. The results provide valuable insights for future sweet cherry breeding programs aimed at improving both nutritional and physical fruit traits.

This study was carried out to investigate the effect of different IBA (Indole Butyric Acid) concentrations on rooting in soft-wood cuttings of rootstock candidate sweet cherry, sour cherry, and mahaleb genotypes in a plastic greenhouse with underfloor heating and mist propagation of Black Sea Agricultural Research Institute. 500, 1000, and 2000 ppm IBA doses were applied to the soft-wood cuttings taken in june. Perlite was used as propagation medium and rooting medium was disinfected with methyl bromide before planting. The study was planned according to a randomized plot design with three replications and 20 cuttings in each replication. The rooting rate (%), number of roots (piece), number of branching roots (piece), and root length (mm) were investigated. The highest rooting ratio of 59 % (08 K 056) was obtained from the 1000 ppm IBA application, while the lowest rooting ratio of 22.50% (55 K 104) was obtained from the 1000 ppm IBA application.

2015-2016 yıllarında yürütülen bu çalışmada, kiraz için anaç adayı olabilecek 3 adet kiraz ve 3 adet vişne genotipi ile Gisela 6 anacının in vitro koşullarda çoğaltılabilme performansının belirlenmesi amacıyla yürütülmüştür. Kiraz ve vişne genotipleri ile Gisela 6 anacını sürgün uçlarından hazırlanan eksplantlar başlangıç aşamasında 0.5 mgl-1 BAP +0.1 mgl-1 GA3 + 0.1 mgl-1 IBA içeren MS besi ortamına dikilerek kültüre alınmıştır. Enfeksiyon oranı kiraz genotiplerinde %12.03-17.87 ve vişne genotiplerinde %22.30-26.23 arasında gerçekleşmiştir. Sürgün çoğaltma aşamasında farklı BAP (0, 0.5 ve 1 mgl-1) dozlarının etkisini belirlemek için çalışma yapılmıştır. BAP dozunun artması ile sürgün sayısının arttığı belirlenirken, en fazla sürgün sayısı 1 mgl-1 BAP dozundan elde edilmiştir. Kiraz genotiplerinde sürgün sayısı 2.14-4.10, vişne genotiplerinde ise 2.73-3.09 adet olarak belirlenmiştir. Köklendirme ortamında ½ MS besi ortamında farklı IBA (0, 0.5, 1, 2 mgl-1) dozlarının köklenme oranına etkisi incelenmiştir. IBA dozunun artması ile köklenme oranının arttığı, kiraz genotiplerinde en yüksek köklenme oranı 2 mgl-1 IBA ve vişne genotiplerinde ise en yüksek köklenme oranı 1 mgl-1 IBA dozundan elde edilmiştir. Kiraz genotiplerinde köklenme oranı %89.44-99.17, vişne genotiplerinde köklenme oranı %76.46- 96.33 olarak tespit edilmiştir.

Graft incompatibility is a key factor in the development of dwarf and semi dwarf rootstocks for sweet cherry (Prunus avium L.) to improve yield, fruit quality, precocity, and labor efficiency. This study evaluated the graft incompatibility of eight genotypes three sweet cherry, three sour cherry, and two mahaleb collected from Northern Anatolia, a native region for cherries. These genotypes, along with standard rootstocks Gisela 6 and SL 64, were grafted with ‘0900 Ziraat’ and ‘Lambert’ cultivars. Graft incompatibility was assessed using a multidisciplinary approach combining classical morphological and anatomical evaluations with advanced data driven analyses. Parameters such as graft bud growth rate (40.26–86.21%), shoot length (41.01–91.28 cm), and rootstock/scion diameter ratio (0.41–0.92) were measured 12 months after grafting. Principal Component Analysis, Random Forest modeling with SHAP values, and Bayesian ranking were applied to identify key traits and rank genotype performance. The integrated analysis successfully distinguished compatible rootstock candidates, identifying five genotypes with high compatibility potential. These findings demonstrate that combining traditional phenotypic evaluation methods with machine learning-based approaches offers a robust and comprehensive framework for addressing graft incompatibility, and contributes valuable insights for future breeding programs and rootstock selection strategies in sweet cherry.