Sürdürülebilir Kalkınma Amaçları

• 1

Yazarlar

• Atasoy, M.(1)
• Aydin, Mehmet Zahit(1)
• Bayrak, T.(1)
• Duran, Celal(1)
• Ekercin, S.(1)
• Erduran, M.(1)
• Kalkisim, Ozgun(1)
• Nisanci, R.(1)
• Ozdes, Duygu(1)
• Reis, S.(1)
• Sancar, C.(1)
• Yalcin, A.(1)

• MakaleYalnız künye2025Scopus SJRQ2/r/gumushane/14019
  Determination of selection-focused physicochemical properties in the local Eğrisap pear (Pyrus communis L.) clone grown in Rize

  Kalkisim, Ozgun; Aydin, Mehmet Zahit; Ozdes, Duygu; Duran, Celal

  Turkey, located within the Western Asia gene center, is a significant genetic center for many fruit species, including pears. Rize, a province in the Northeastern part of Turkey, is located within the Northeast Anatolia Region, which falls within the genetic center area where pears have undergone evolutionary development. This study aimed to identify promising local Eğrisap pear clone genotypes with superior traits and to introduce them into economic use. For this purpose, Rize province and its districts were surveyed, and fruit and leaf samples were collected from pre-selected Eğrisap pear clone types. These samples were subjected to pomological, morphological, and chemical analysis. The JMP 13 statistical software package was used to compare the Eğrisap pear clone types. According to the research results, the pomological and morphological traits of the clone types varied as follows: fruit weight (99.10–139.54 g), fruit width (54.52–65.41 mm), fruit length (57.58–68.83 mm), fruit stem length (50.75–59.50 mm), fruit stem thickness (2.36–2.91 mm), core width (5.15–7.55 mm), core length (9.73–14.51 mm), flesh firmness (3.61–7.13 lb), seed number (5.30–8.55), leaf width (45.80–60.04 mm), leaf length (64.53–82.37 mm), petiole length (37.04–60.99 mm), petiole thickness (0.83–1.20 mm), and soluble solid content (SSC) (9.10 %-16.0 %). Regarding chemical composition, the pH values of the clone types ranged from (3.78–4.22), titratable acidity (0.22 %-0.47 %), protein content (1.50 %-4.95 %), vitamin C content (0.92–2.28 mg/100 g), ash content (1.16 %-4.30 %), and total sugar content (9.66 %-17.28 %). Mineral element analysis of the local pear varieties revealed that iron content ranged from (0–14.7 µg/g), copper (2.90–9.12 µg/g), manganese (2.9–11.6 µg/g), magnesium (321.7–771.5 mg/g), zinc (0 µg/g), sodium (9.6–39.6 µg/g), potassium (5.43–14.50 µg/g), calcium (50.1–219.7 µg/g), cobalt (0.01–0.31 µg/g), cadmium (0–0.1 µg/g), and nickel (0.08–4.41 µg/g). Among the local Eğrisap pear clones grown in Rize, clone type 53 IYD 01 was identified as having the most superior quality criteria and chemical composition. Consequently, it is recommended that this clone type be introduced to producers for cultivation.

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  AtıfScopus1

  İncele
• MakaleYalnız künye2012Scopus SJRQ1/r/gumushane/13206
  Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey)

  Reis, S.; Yalcin, A.; Atasoy, M.; Nisanci, R.; Bayrak, T.; Erduran, M.; Sancar, C.; Ekercin, S.

  The northeast part of Turkey is prone to landslides because of the climatic conditions, as well as geologic and geomorphologic characteristics of the region. Especially, frequent landslides in the Rize province often result in significant damage to people and property. Therefore, in order to mitigate the damage from landslides and help the planners in selecting suitable locations for implementing development projects, especially in large areas, it is necessary to scientifically assess susceptible areas. In this study, the frequency ratio method and the analytical hierarchy process (AHP) were used to produce susceptibility maps. Especially, AHP gives best results because of allowing better structuring of various components, including both objective and subjective aspects and comparing them by a logical and thorough method, which involves a matrix-based pairwise comparison of the contribution of different factors for landslide. For this purpose, lithology, slope angle, slope aspect, land cover, distance to stream, drainage density, and distance to road were considered as landslide causal factors for the study area. The processing of multi-geodata sets was carried out in a raster GIS environment. Lithology was derived from the geological database and additional field studies; slope angle, slope aspect, distance to stream, distance to road and drainage density were invented from digital elevation models; land cover was produced from remote sensing imagery. In the end of study, the results of the analysis were verified using actual landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.

  AtıfScopus87·WoS73·OpenAlex100

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