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- MakaleYalnız künye2026Scopus SJRQ2The Effect of Sugar Beet (Beta vulgaris L.) Varieties Grown Under Semi-Arid Conditions in Turkey’s Eastern Anatolia Region on Yield and Quality
Bagcı, Ikram; Gul, Volkan; Sefaoglu, Firat; Lan, Yuzhou; Coban, Furkan
Global climate change, which is increasingly evident today, leads to significant fluctuations in the yield and quality parameters of sugar beet varieties, particularly due to its direct impact on semi-arid regions. Therefore, the adaptation capacity of varieties especially in the semi-arid areas of eastern regions and their responses to drought and temperature stress are of critical importance. This study was conducted during the 2022–2023 growing seasons to evaluate the yield and quality performance of ten sugar beet varieties (Seranada, Lider, Mohican, Terronova, Aranka, Turbata, Bernache, Setenil, Tisserin, and Chevalier) within a continental agro-ecological zone characterized by high altitude and a semi-arid climate. The results revealed significant differences among the varieties in terms of all examined traits. The highest root yield was obtained from Chevalier (95.30 ton/ha) and Mohican (94.17 ton/ha), while Tisserin produced the lowest (71.34 ton/ha). In terms of sugar yield, Terronova ranked highest (16.18 ton/ha), whereas Tisserin (12.44 ton/ha) and Setenil (12.34 ton/ha) showed the lowest performances. The Lider variety recorded the highest sugar content (18.22%), indicating its potential as a quality-oriented genotype. Overall, Mohican and Terronova demonstrated the most favorable responses under semi-arid conditions. These findings underscore the importance of regional variety testing for identifying high-yielding and high-quality sugar beet genotypes, especially in environments affected by altitude, climate variability, and soil characteristics.
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İncele - MakaleAçık Erişim2026Scopus SJRQ2Enhancing salt stress tolerance in sugar beet via TiO2 nanoparticles: a machine learning approach
Engin, Mustafa Alptekin; Sefaoglu, Firat; Gul, Volkan; Aras, Selim; Kaynar, Dilara
In this study, the biostimulant potential of titanium dioxide (TiO2) nanoparticles was investigated to enhance sugar beet (Beta vulgaris L.) seed response to salt stress. Controlled applications were conducted at different NaCl (0–200 mM) and TiO2 (0–1,800 ppm) levels, and eight key morphological and physiological parameters were evaluated. In the first stage, the individual and interactive effects of the factors were examined using a two-way analysis of variance. Then, various machine learning-based regression models, primarily the Gradient Boosting algorithm, were used to numerically model plant responses. Based on the high-accuracy models, optimal application combinations were determined for each parameter and visualized using graphical surface analyses. Additionally, the most suitable overall TiO2 dosage for each salt level was calculated using a multi-criteria scoring system that assigned equal weight to all parameters. The results revealed that TiO2 exerts a regulatory and protective effect on plants against salt stress, with this effect varying with both dosage level and environmental stress severity. The study demonstrates that nanotechnological initiatives can be integrated into data-driven agricultural strategies to optimize stress management.
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İncele - MakaleAçık Erişim2024Scopus SJRQ3THE EFFECT OF DIFFERENT STORAGE DURATION PERIODS AFTER HARVESTING IN A SEMI-ARID ENVIRONMENT ON THE QUALITY COMPONENTS IN SUGAR BEET
Yildiz, Umut; Ozturk, Erdogan; Sefaoglu, Firat; Gul, Volkan; Toktay, Zehra
The storage of the harvested sugar beet (Beta vulgaris L.) before the processing stage is crucial, particularly regarding quality and durability. To maintain the quality of the beet prior to processing, appropriate storage conditions must be provided. Although siloing is a standard method for beet storage, this process may have some negative effects. Given the limited information on the impact of siloing on yield and quality, it is essential to determine the optimal duration of siloing. This study investigated the effect of different siloing periods on the root and weight and quality criteria of sugar beet in 2020 and 2021. Four siloing periods (immediately after harvest, ten days after harvest, 20 days after harvest, and 30 days after harvest) were analyzed. The siloing periods significantly affected both the root weight and quality criteria in both years of research. It was determined that the examined characteristics were significantly influenced by the treatments, with weight loss, dry matter content, sugar content, and sugar yield of roots increasing with the length of the siloing period. The results highlight the importance of the waiting time during the siloing period for sugar beet stored in silos after harvest. To minimize losses in the examined characteristics, it is recommended that the processing occur immediately after harvest. If it must be delayed processing is recommended between 10-20 days post-harvest.
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