Yazar "Ozden, Mustafa" seçeneğine göre listele

Listeleniyor 1 - 5 / 5
  • Küçük Resim Yok
    Öğe
    Assessment of morphological and biochemical characteristics of common purslane (Portulaca oleracea L.) accessions
    (Univ Agriculture, Fac Veterinary Science, 2022) Naeem, Muhammad Yasir; Jabran, Khawar; Ozden, Mustafa; Joiya, Allah Bakhsh
    Common purslane (Portulaca oleracea L.), is both a wild plant and a weed, and is also recognized for its edible and nutritional value. This study determined morphological and biochemical characteristics of 25 accessions of common purslane. Seeds of the accessions were collected from various locations in Turkiye. The experiment was done four times; two repeats of it were used for recording morphological data while the other two were used for biochemical analysis. Results showed that the accessions BT-Altinkulak, Assem, and Yerli were respectively recorded for the highest plant height, root fresh weight, and plant fresh weight. The highest moisture content (95.14 %) and leaf fresh weight (39.18 g) were exhibited in the Yerli accession. Root length for all the accessions ranged from 18.2 to 30 cm. For biochemical characterization, the highest total phenolic content was found in accession Yagmur (685.4 mg AEE 100-1) while the highest total flavonoid content was found in Assya (0.569 mg mL-1). Anthocyanin was found the highest in Agr Tohum (1.09 mu g mL-1). Cookies were prepared from a mix of common purslane accessions with three different leaf powder quantities i.e., 10 g, 20 g, and 30 g. In product development, cookies with 10 g common purslane powder were found to be the best for all sensory characteristics. Results showed that common purslane accessions are a rich source of various bioactive compounds and have highly diverse morphological and biochemical traits. This diversity among common purslane accessions will assist plant breeding programs in future for the domestication of this wild plant.
  • Küçük Resim Yok
    Öğe
    Detection of bruises on red apples using deep learning models
    (Elsevier, 2024) Unal, Zeynep; Kizildeniz, Tefide; Ozden, Mustafa; Aktas, Hakan; Karagoz, Omer
    The detection and sorting of bruised apples after harvest play a crucial role in improving their economic value by eliminating surface defects. This also reduces the risk of contamination of infected apples during transport and storage. It can be done by using manual detection or machine vision techniques in red, green, and blue (RGB) colors to detect bruises on apples of various skin colors; however, in the early stages of bruising, it is challenging. Therefore, the main purpose of this study is determin of the effectiveness of Deep Learning models combined with the Near Infrared (NIR) imaging system for naturally bruised Super Chief red apples immediately after harvest. In total, 1000 images for the healthy class and 500 images for the bruised class were acquired from 500 apples. After the images were acquired with the RGB and NIR cameras, the data sets were divided into training (70 %), validation (15 %), and testing (15 %) sets. The Alexnet, the Inceptipon-V3, and the VGG16 network structures were trained using the training and validation data sets, and the trained network was evaluated using the test dataset. The VGG16 model achieved the highest test accuracy (86 %) when trained on the RGB data set, while the AlexNet model exhibited the lowest test accuracy (74.6 %). When the models were trained and tested with NIR datasets, 99.33 %, 100 % and 100 % accuracy rates were obtained for AlexNet, Inception V3, and VGG16, respectively. During the experiments, the VGG16 model trained with the NIR dataset achieved the lowest loss rate of 0.0002, whereas when trained and tested with the RGB dataset, the same VGG16 model also recorded the lowest loss rate of 0.353.These findings indicate that the deep learning models, particularly when trained with NIR data, demonstrate high accuracy rates in classifying apples as healthy or bruised, making them suitable for industrial classification applications. Therefore, the NIR data set is recommended for precise and reliable apple classification in industrial settings.
  • Küçük Resim Yok
    Öğe
    Exploring Wild and Local Fruits as Sources of Promising Biocontrol Agents against Alternaria spp. in Apples
    (Mdpi, 2023) Tulukoglu-Kunt, Keziban Sinem; Ozden, Mustafa; Di Francesco, Alessandra
    Biological control agents (BCAs) are a promising option for managing postharvest diseases. Their environmentally friendly nature makes them valuable for sustainable and eco-friendly postharvest disease management. This study evaluated the antagonistic potential of epiphytic yeasts isolated from a local apple genotype known as Nigde Elmasi and a range of wild fruits: rosehip, hawthorn, and wild pear. There were 375 yeast isolates obtained and screened in vitro and in vivo. Initially selected were 32 isolates able to inhibit the growth of Alternaria alternata mycelia in the in vitro experiments and identified using molecular methods as candidate BCAs. These isolates were identified as Aureobasidium pullulans using sequence analysis of the internal transcribed spacer (ITS) and the translation elongation factor EF-1 alpha gene (EF1 alpha). Based on two rounds of in vivo screening, four isolates were subsequently selected for their capability to control the infection of apple fruits under high inoculum pressure. Finally, their volatile and non-volatile antimicrobial activity was tested against Alternaria spp. These findings showed how wild fruits and a local apple genotype could represent a promising source for new BCA isolation. However, further studies are needed to reveal the mechanisms of action of these putative BCAs for application during the postharvest processing and storage of apples.
  • Küçük Resim Yok
    Öğe
    Morphological, quality characteristics, and antioxidant activity of grapes from heritage germplasm grown in Central Anatolia, Turkey
    (Univ Agr Sci & Veterinary Med Cluj-Napoca, 2023) Ozden, Mustafa; Deveci, Yasin
    Conservation of Central Anatolian grapevine genetic resources is essential to slow down to loss of biodiversity and genetic resources. This study provided information about fruit quality characteristics including morphological, physical, chemical, and antioxidant potential of ten grape accessions from heritage germplasm grown in Central Anatolia. Physical and chemical quality characteristics measured included berry and cluster weight, must yield proportion, firmness and chroma index, pH, titratable acidity (TA), total soluble solids (TSS), total anthocyanins (TAC), total phenolics (TP) and total flavonoids (TF). Also, antioxidant potential of ethanolic berry extracts were investigated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and ferric ion reducing antioxidant power (FRAP) assays. 'Kizil Uzum, 'Nuniyar', 'Karasabi' and 'Kirmizisabi' had higher firmness values and lower must yield, which are important for storage of table grapes. 'Kavak yaprag iota' had heaviest berries, highest must yield and TSS/TA ratio giving it excellent flavour. The red grape accession with the highest TAC was 'Kirmizisabi', and the highest TP and TF were recorded for 'Sergi Karasi'. Eighty percent of the extracts could scavenge 50% of the DPPH free radical with 0.28 mg mL-1 of extract. 'Tilki Kuyrugu' had the highest DPPH free radical scavenging activity due to high phenolic and flavonoid content. FRAP reducing power of extracts also showed a similar trend to DPPH free radical activity. The accessions with rich secondary metabolite profiles inhibited DPPH free radicals and increased FRAP activity. Based on these findings, it is possible to suggest that chemical characteristics including secondary metabolite profile and antioxidant activity of grapes might be used as biochemical marker to discriminate grape cultivars each other. Finally, the region where this study was carried out is very rich in grape diversity, it should be screened and valuable accessions protected for the future.
  • Küçük Resim Yok
    Öğe
    Sustainable Use of Tuff Storage Facilities for Potato (Solanum tuberosum L.) Tubers in Central Anatolia, Turkey
    (Springer, 2023) Capoglu, Omer Faruk; Ozden, Mustafa
    The metabolic processes of potato tubers continue after harvest and therefore interact with their storage environment. Consequently, the quality of tubers and their shelf life can be reduced by the surrounding environment in storage. Markets continue to demand competitively priced and an uninterrupted supply of tubers with an increasing expectation of high quality, using minimum economic input. So, quality storage at a low cost is needed to fulfil this market demand. Many studies on storage design and operation have been conducted to optimise the suitable conditions for potatoes. Half of the potatoes harvested in Turkey are stored in volcanic tuff storage facilities. However, there is limited information available on tuff storage design and operation. Thus, this study aimed to provide detailed information about tuff storage facilities, such as temperature and relative humidity values, used for potato tubers in Central Anatolia in Turkey. Also, the economic aspects of tuff storage facilities were covered in this study. Data collection revealed that naturally refrigerated tuff storage has the ability to store marketable potatoes properly from one harvest to the next without sprout suppressants and technical equipment for moistening and cooling. It has also been recorded that over two thousand volcanic tuff storage facilities in Central Anatolia provide cost advantages on an industrial scale to commercial companies.