Person: BÜTÜNER, ALPEREN KAAN
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BÜTÜNER
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ALPEREN KAAN
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Publication Effects of storage temperature on viability and virulence of entomopathogenic nematodes Heterorhabditis bacteriophora Poinar, 1976 (Rhabditida: Heterorhabditidae), steinernema carpocapsae Weiser, 1955 and Steinernema Feltiae filipjev, 1934 (Rhabditida: Steinernematidae)(Ege Universitesi, 2023-01-01) Bütüner, Alperen Kaan; İlktan, Merve; Susurluk, İsmail Alper; BÜTÜNER, ALPEREN KAAN; İlktan, Merve; SUSURLUK, İSMAİL ALPER; Ziraat Fakültesi; Bitki Koruma Bölümü; AAG-7131-2021; GXV-0837-2022; JNJ-5486-2023Entomopathogenic nematodes (EPN) are a widely used biological control agent. The aim of the study was to detect efficacy and mortalities of some EPN stored at different temperatures and periods. Three EPN species were used in the carpocapsae Weiser, 1955 TUR-S4 isolate and Steinernema feltiae Weiser, 1955 (Rhabditida: Steinernematidae) TUR-S3 isolate. The species were kept at 4, 15, 25 and 35 degrees C for 7, 14 and 21 days. Subsequently, these species were applied at a dose of 15 Infective juveniles on Tenebrio molitor L., 1758 (Coleoptera: Tenebrionidae) larvae. The study was carried out in laboratory conditions in 2023. As a result, HBH and TUR-S4 kept at 25 degrees C for 14 days and TUR-S3 for 21 days showed the highest virulence as 93.33%. Mortality rates of the EPN species kept at the specified temperatures were also determined. The results have showed that the highest mortality rates for the HBH, TUR-S4 and TURS3 isolates were 11.96% on the 14th day at 35 degrees C, 19.81% on the 21st day at 25 degrees C and 7.39% on the 21st day at 35 degrees C, respectively. This study is an important step in determining suitable temperature conditions for storing and transporting EPN.Publication Machine learning-based detection and severity assessment of sunflower powdery mildew: A precision agriculture approach(Bursa Uludağ Üniversitesi, 2023-09-18) Erdinç, Atilla; BÜTÜNER, ALPEREN KAAN; ŞAHİN, YAVUZ SELİM; ERDOĞAN, HİLALSunflower powdery mildew (Golovinomyces cichoracearum (DC.) V.P. Heluta) is a substantial threat to sunflower crops, causing significant yield loss. Traditional identification methods, based on human observation, fall short in providing early disease detection and quick control. This study presents a novel approach to this problem, utilizing machine learning for the early detection of powdery mildew in sunflowers. The disease severity levels were determined by training a Decision Trees model using matrix of soil, powdery mildew, stems, and leaf images obtained from original field images. It was detected disease severity levels of 18.14% and 5.56% in test images labeled as A and C, respectively. The model's demonstrated accuracy of 85% suggests high proficiency, indicating that machine learning, specifically the DTs model, holds promising prospects for revolutionizing disease control and diseases prevention in agriculture.Publication Detection of cucurbit powdery mildew, sphaerotheca fuliginea (schlech.) thermal imaging in field conditions(Univ Agronomic Sciences & Veterinary Medicine Bucharest - Usamv, 2023-01-01) Erdoğan, Hilal; ERDOĞAN, HİLAL; Bütüner, Alperen Kaan; BÜTÜNER, ALPEREN KAAN; Şahin, Yavuz Selim; ŞAHİN, YAVUZ SELİM; Ziraat Fakültesi; Biyosistem Mühendisliği Bölümü; 0000-0002-0387-2600; AAP-5834-2020; AAH-2823-2021Plant diseases are one of the leading causes of yield losses in agricultural areas. In the fight against these diseases, chemical control methods are frequently used. However, this method of combat usually begins after the disease has spread throughout the entire field. The most essential thing here is to control the disease before it spreads throughout the entire country. Thermal imaging methods can now be used to accomplish this. Plant diseases stress the plant as a result of infection. The plant's stress causes activities that cause a temperature increase or reduction in the area where the infection has occurred or has begun. Thermal imaging technologies can be used to identify this condition. This work focuses on the potential early detection of Cucurbit powdery mildew (Sphaerotheca fuliginea (Schlech.) Polacci), which causes considerable yield loss in Cucurbitaceae, utilizing thermal imaging technologies. According to the findings, the lowest temperature in infected leaf tissues was 8.2 degrees C, whereas the maximum temperature in plant tissues without infection was 10.2 degrees C. The findings suggest that thermal imaging technology could be used to identify powdery mildew in cucurbits. In this case, early detection will potentially enable the detection of the disease that has started to spread in a certain region and will allow the disease to be potentially controlled with less labor and chemical use.Publication Potential for early detection of powdery mildew in okra under field conditions using thermal imaging(Univ Agronomic Sciences & Veterinary Medicine Bucharest - Usamv, 2023-01-01) ŞAHİN, YAVUZ SELİM; BÜTÜNER, ALPEREN KAAN; Bütüner, Alperen Kaan; Erdoğan, Hilal; ERDOĞAN, HİLAL; Ziraat Fakültesi; Biyosistem Mühendisliği Bölümü; 0000-0002-0387-2600; AAP-5834-2020; AAH-2823-2021In recent years, apprehensions surrounding the pervasive employment of chemical control methods in global agricultural production have intensified, primarily due to their detrimental effects on non-target organisms. This situation accentuates the importance of technology-driven alternatives for managing plant diseases in agriculture. One such technological innovation, thermal imaging technology, has emerged as a promising tool for the early detection of plant diseases. Infections often induce stress in plants, leading to either elevated or reduced temperatures at the point of infection. It is postulated that thermal imaging may effectively identify such temperature deviations in plant tissues afflicted by disease during the initial stages. The study investigated temperature differences in leaves infected by Erysiphe cichoracearum, with disparities up to 1.6 degrees C. Over three weeks, the surface temperatures of numerous leaves were analysed at 30-minute intervals. In three weeks period, it was shown that infected leaf surfaces had significantly lower average daily temperatures than ambient and healthy leaf temperatures. Furthermore, healthy leaf temperatures remained consistently lower than ambient temperatures throughout the study.Publication Biocontrol potential of Heterorhabditis bacteriophora Poinar, 1976 (Rhabditida: Heterorhabditidae) HBH hybrid strain against the beet webworm, Loxostege sticticalis L., 1761 (Lepidoptera: Pyralidae)(Ege Üniversitesi, 2022-10-10) Dede, Emre; Bütüner, Alperen Kaan; Susurluk, İsmail Alper; Dede, Emre; BÜTÜNER, ALPEREN KAAN; SUSURLUK, İSMAİL ALPER; Ziraat Fakültesi; Bitki Koruma Bölümü; 0000-0002-2121-3529; 0000-0001-9017-9187; 0000-0002-0699-1752; GXV-0837-2022; AAG-7131-2021; HNE-4934-2023With limits on the use of pesticides, biological control has become increasingly important. Consequently, entomopathogenic nematodes (EPN) are now used widely in biological control. EPNs can potentially be used against beet webworm, Loxostege sticticalis L., 1761 (Lepidoptera: Pyralidae), which established in sunflower-growing areas in Turkiye in 2022. Therefore, the hybrid EPN strain, Heterorhabditis bacteriophora Poinar, 1976 (Rhabditida: Heterorhabditidae) HBH, was assessed for this purpose. The study was conducted in Bursa Uludag University, Faculty of Agriculture, Plant Protection Department, Nematology Laboratory in 2022. Four nematode doses (2, 5, 10 and 20 IJs) were applied to the last instars of L. sticticalis at three temperatures (20, 25 and 30 degrees C). The highest mortality was 97% with 20 IJs dose nematodes at 30 degrees C. LD50 and LD90 of the nematode were determined at all tested temperatures. The lowest LD50 and LD90 were at 30 degrees C; 4.37 and 11.0 IJs, respectively. These results indicated that the HBN strain has potential for control of L. sticticalis.Publication Efficiency of temperature and storage duration on some morphological measurements and reproductive capacity of the entomopathogenic nematode Heterorhabditis bacteriophora Poinar, 1976 (Rhabditida: Heterorhabditidae)'s Turkish HBH hybrid strain(Entomological Soc Turkey, Ege Univ, 2023) Bütüner, Alperen Kaan; Susurluk, İsmail Alper; BÜTÜNER, ALPEREN KAAN; SUSURLUK, İSMAİL ALPER; 0000-0002-2121-3529; GXV-0837-2022; JVR-3089-2024Entomopathogenic nematodes (EPNs) are successfully used in the biological control of agricultural insect pests. This study aims to determine the body length of hermaphrodite individuals, egg diameter and reproductive capacity obtained from Infective Juveniles (IJs) stored at different temperatures and durations. Heterorhabditis bacteriophora Poinar, 1976 (Rhabditida: Heterorhabditidae)'s Hybrid Strain HBH was used in the study. IJs stored at 15, 25 and 35 degrees C for 7, 14 and 21 days were inoculated onto Galleria mellonella L., 1758 (Lepidoptera: Pyralidae) last instar larvae at a dose of 100 IJs. On the 2nd day of infection, hermaphrodite individuals and eggs were obtained by dissecting the larvae. The reproductive capacity was determined 10-12 days after infection. The study was conducted in Bursa Uludag University, Faculty of Agriculture, Plant Protection Department, Nematology Laboratory in 2023. In conclusion, the longest hermaphrodite individuals and egg diameter were obtained as 6207.22 mu m and 55.65 mu m, respectively from the IJs stored for 7 days at 15 degrees C. The highest reproductive capacity was also observed as 167.500 IJs per G. mellonella larva in IJs stored under the same conditions with respect to temperature and time. This study is important for assessing the morphological effects of different temperature values and storage durations on EPNs.