Tarımsal mekanizasyon, tarım alanlarını geliştirmek, her türlü tarımsal üretimi yapmak ve ürünlerin işlenmesini de gerçekleştirmek amacıyla kullanılan tüm enerji kaynağı, mekanik araç ve gerecin tasarımı, yapımı, geliştirilmesi, pazarlanması, yayım ve eğitimi, işletilmesi ve kullanılması konularını içermektedir (Zeren ve ark., 1995). Tarımsal mekanizasyon göstergeleri kullanılarak tarımsal mekanizasyon düzeyinin belirlenmesi, yörelerin ve ülkelerin tarımsal mekanizasyon seviyelerinin ortaya konmasında önem arz etmektedir. Bu çalışmada Kırşehir ili Çiçekdağı ilçesinin tarımsal mekanizasyon özellikleri incelenmiştir. Çalışmada, Türkiye İstatistik Kurumu’nun (TUİK) 2023 ve 2024 yıllarına ait verileri ile Çiçekdağı İlçe Tarım Müdürlüğü’nden elde edilen veriler materyal olarak kullanılmıştır. Bu kapsamda Çiçekdağı ilçesinin tarım alet ve makine sayıları (traktör sayısı, biçerdöver sayısı, birinci ve ikinci sınıf toprak işleme alet ve makine sayısı, ekim-dikim ve bakım makinesi sayısı, bitki koruma makinesi sayısı ve hasat-harman makinesi sayısı) da çalışmaya dahil edilmiştir. Mekanizasyon düzeyi; traktör, biçerdöver, tarım aletleri sayısı tespit edilmiş olup ve tarımsal mekanizasyon düzeyi göstergeleri; traktör/1000 ha, ha/traktör, kW/ ha ve ortalama traktör gücü (kW) olarak belirlenmiştir.Verilere göre, traktör sayısı 1000 hektar başına 35,97’den 38,74’e yükselmiş olup , traktör başına düşen arazi alanı ise 27,79 hektardan 25,81 hektara gerilemiştir. Traktör başına düşen güç 2,49 kW/ha’dan 2,68 kW/ha’ya artarken, ortalama traktör gücü 69 kW seviyesinde sabit kalmıştır.

Arıcılık kendine has özellikleri ile kırsal nüfus için iyi bir alternatif iş ve gelir kaynağıdır. Türkiye ekolojik olarak arıcılığa çok uygun bir doğaya sahip olmasına rağmen maalesef potansiyelinin çok azını kullanmaktadır. Bu çalışma, ekolojik yapısı bakımından arı yetiştiriciliğine uygun alanların fazlalığı, zengin bitki çeşitliğine sahip olması nedeni ile önemli bir konuma sahip olan Erzincan İli Kemaliye ilçesindeki arıcılık faaliyetlerinin mevcut durumunu değerlendirmek amacıyla yürütülmüştür. Bu kapsamda 2023 yılında Erzincan ili Kemaliye ilçesinde faaliyet gösteren 87 arı yetiştiricisi ile tam sayım yapılarak çalışmanın birincil verileri toplanmıştır. Anket çalışmasında 26 soru ile arıcıların demografik özelliklerinin yanı sıra, arıcılığın ekonomik analizi, arıcılık dışı faaliyetleri, üretilen arı ürünleri, bal verimleri, koloni sayıları, ana arı değişimi ile üretimi, hastalık ile zararlılarla mücadeleleri, gezginci arıcılık durumları, besleme şekil ile zamanları, koloni kayıpları, arıcılıkta karşılaştıkları önemli sorunları, pazarlama ve satış faaliyetleri gibi konular hakkında ayrıntılı veriler elde edilmiştir. Araştırma sonuçlarına göre Erzincan ili Kemaliye ilçesinde 1 kg bal maliyeti sabit arıcılarda 141,89 TL, göçer arıcılarda ise 107,20 TL olarak hesaplanmıştır. Kovan başına toplam maliyet sabit arıcılarda 1409,75 TL, göçer arıcılarda ise 1007,83 TL olduğu tespit edilmiştir.

Mosquitoes play a critical role as disease vectors, making them significant in terms of both public health concerns and ecological balance. This study aims to identify mosquito specimens collected from Siirt city center and six different districts using morphological and molecular methods. A 658 bp fragment of the mitochondrial cytochrome c oxidase subunit 1 (COI) gene region was used for molecular diagnosis. The findings revealed four mosquito species: Culex theileri Theobald, 1903, Culex mimeticus Noè, 1899, Culex quinquefasciatus Say, 1823, and Anopheles superpictus Grassi, 1899. Mitochondrial gene PCR products were sequenced, and the sequences were uploaded to the NCBI database for public access. Phylogenetic analysis was conducted using these sequences to investigate the genetic distances and evolutionary relationships among the mosquito species. In the phylogenetic analysis, Chironomus kiiensis was used as an outgroup. The analysis revealed that C. quinquefasciatus and A. superpictus were had the highest genetic distance (0.16), while the closest genetic distance was observed between C. quinquefasciatus and C. theileri (0.06). This study is presented as a preliminary investigation into the genetic diversity, evolutionary relationships, and population dynamics of mosquito species in Siirt Province. Further studies with a larger sample size and additional sequences are needed to establish more comprehensive phylogenetic relationships. The molecular findings contribute significantly to the systematic and ecological studies of mosquitoes.

The current study examined the dietary solid-state fermented yellow mealworm (Tenebrio molitor) larvae meal inclusion on growth performance, gut microbiota, body composition, liver and intestinal histology and histomorphometric parameters in the guppy (Poecilia reticulata) for 84 days. Guppies were fed diets included with no supplementation (C); 4 g/kg yellow mealworm larva meal (G1), 4 g/kg solid-state fermented with Lactobacillus brevis yellow mealworm larvae meal (G2), 4 g/kg solid-state fermented with Lactobacillus plantarum yellow mealworm larvae meal (G3), the combination of 2 g/kg solid-state fermented with L. brevis plus 2 g/kg solid-state fermented with L. plantarum yellow mealworm larvae meal (G4). For female guppies, the growth performance of the G4 group clearly differed from all groups with the synergistic effect of solid-state fermented with L. plantarum plus L. brevis. In male guppies, G3 and G4 groups showed the highest growth performance values among all groups. The intestinal microbiota of guppies was clearly varied with supplementation groups. Fusobacteria was the most abundant phylum in C, G1, G2 and G3 groups. However, Proteobacteria showed the most intensity in the G4 group. Intestinal villus height, width and surface area were positively affected in solid-state fermented yellow mealworm larvae meal supplementation groups, reaching higher values in G3 and G4 groups. In conclusion, solid-state fermented yellow mealworm larvae meal via 2 g/kg L. plantarum plus 2 g/kg L. brevis can improve growth performance by modulating the gut microbiota of guppies.

This research was conducted to determine the presence of Prunus necrotic ringspot virus (PNRSV) and Apple mosaic virus (ApMV) that can cause infection in rose (Rosa spp.) plants grown in Konya province. For this purpose, field and laboratory studies were carried out in areas where roses are mostly grown for landscaping purposes, and infection rates were calculated with the data obtained. The hypothesis of the study is that roses in Konya province may be infected with PNRSV and ApMV and the presence of these viruses can be determined. In line with this hypothesis, various rose growing areas in Konya province were selected as the research area. During the field studies in 2023, guided sampling was carried out and 94 leaf, branch and flower samples were collected from different rose varieties. The collected samples were tested for determining of PNRSV and ApMV infections by Double Antibody Sandwich (DAS) ELISA method, which is one of the serological testing methods in the laboratory. As a result of the tests, it was revealed that the single infections of PNRSV and ApMV were present in 12 and 11 samples of rose plants in Konya province. The total infection rate of both viruses in the province was calculated as 24.47%. Also, PNRSV+ApMV mixed infections were detected in 2 samples. In this study, the infections of PNRSV and ApMV on roses in Konya province were determined for the first time by serological methods. These results will serve as an important source of information for rose producers and agricultural engineers in the region and will allow the development of strategies to control the spread of viruses and minimize infections.

In today's marketing processes, knowing what consumers want plays an active role in shaping the products businesses offer and gaining a competitive advantage. This study aims to obtain a guiding result for companies in this sector by questioning the knowledge levels of consumers regarding honey products. The study aims to reveal the uncertainties in consumer perception between natural and organic honey and examine this distinction's impact on purchasing decisions. The research seeks to create more informed consumer preferences in the honey market and to show the contributions of positioning the product correctly in the minds of consumers. In this study, content analysis was conducted to determine the responses of 117 participants to the statement, “There is a difference between natural honey and organic honey, and I have information about what this difference is.” After the analysis, the study is shaped by dividing consumers into four categories according to their level of knowledge about honey. The qualitative research aims to obtain comprehensive information on the participants' awareness of natural and organic honey. The study results show that the concepts of natural and organic honey can be confused by consumers, and the difference between these two products cannot be fully conveyed. This result shows that organic honey businesses and regulatory organizations should inform consumers more accurately and clearly through marketing communication efforts in marketing their products. In the study, recommendations are presented to consumers and businesses based on the results of the qualitative analysis, and the methods that companies should apply to overcome the deficiencies in consumer perception of the distinction between natural and organic honey are included.

The objective of this study was to evaluate the effects of palm oil, African walnut oil and their blends on hematological, inflammatory, and some oxidative stress markers in high fat diet (HFD) obese-induced Wistar rats. Obesity was induced for 60 days and treated for 28 days using edible oils [palm oil, African walnut oil, palm oil: African walnut oil (50:50) and palm oil : African walnut oil (60:40)] and orlistat (10 mg/Kg). Thereafter the animals were sacrificed, blood was collected for hematological studies and the preparation of the serum, while the organs harvested were used to prepare organ homogenates. Serum and organ homogenates were used for the evaluation of inflammation and oxidative stress markers. Results showed that the oils utilized were confirmed to be of high quality through their good stability indices (peroxide value: 2.52-3.87meq O2/Kg; p-anisidine value: 8.24-12.33, TOTOX value: 13.37-19.46,). Looking at the haematological study, animals that received the HFD presented the lowest (p<0.05) hematocrit and Platelet. PO:WO (50:50 and 60:40) significantly (p<0.05) decreased the granulocytes concentration in the blood of rats. PO:WO (50:50) significantly (p<0.05) increased the lymphocyte concentration while 100% PO increased the mid-size white blood cells level in the animals. Serum levels of inflammation markers were higher (p<0.05) in the negative control group (354.44-385.82 pg/mL) compared to the other groups (147.22-271.55 pg/mL). The analysis of oxidative stress parameters revealed that the administered oils and orlistat generally exhibited good protections compared to the normal and negative control groups, which might be due to the presence of omega-3 fatty acids and bioactives such as β-carotene and vitamin E which have good antioxidant and anti-inflammatory properties. It can be concluded that these oils have a role in protecting against obesity through their effects on oxidative stress, hematology, and inflammatory cytokines.

Developments in Geographic Information Systems and Remote Sensing (RS) technologies and innovative approaches emerging in deep learning (DL) supported analysis methods have an important place in disaster research as in every field. Convolutional neural networks such as Mask RCNN, U-NET, one of the deep learning methods for disaster damage impact assessment and classification, have started to show successful results. However, high-resolution geospatial imagery and drones provide faster and more accurate detection of structural damage.  In this study, damaged building detection was performed using Göktürk-1 satellite images from 6 February 2023 using Mask-RCNN architecture. In this study, deep learning methods were used to detect the collapsed buildings in the city of Malatya during the 6 February 2023 earthquakes. The study aims to emphasize the significance of GIS and remote sensing for the timely and efficient evaluation of building damage after a disaster. Considering this, high quality images of Malatya city before and after the earthquake were analyzed and data sets were created by masking using Mask RCNN deep learning method through ArcGIS Pro 3.4.0 software. According to the results of the research, it quickly detected damaged buildings with an accuracy rate of 70% according to satellite images after the earthquake. As a result, GIS and deep learning models were used to detect and map the initial damage after the earthquake.

Bu çalışmada, portakal dilimlerinin kalite özellikleri üzerine farklı sıcaklık (60, 70 ve 80°C) ve mutlak basınç (15 ve 30 kPa) kombinasyonlarında gerçekleştirilen vakumlu kurutma (VK) işlemlerinde mikrodalga ön işleminin (90 W, 30 dk) etkileri incelenmiştir. Vakumlu kurutma işlemleri, aynı sıcaklık ve basınç koşullarında mikrodalga ön işlemi uygulanarak (MDVK) ve uygulanmadan (VK) gerçekleştirilmiştir. Çalışma kapsamında, polifenolik bileşikler (vanilik asit, klorojenik asit, gallik asit, sinapik asit, o-kumarik asit, epikateşin, hesperidin ve naringenin) analiz edilmiştir. Ek olarak, renk parametreleri (L*, a*, b* ve ΔE), esmerleşme indeksi (BI) ve beyazlatma indeksi (WI) gibi görsel kalite özellikleri de değerlendirilmiştir. Taze portakalların başlangıçta sahip olduğu renk özellikleri ve fenolik bileşen seviyelerini kurutma işlemi sonucunda en iyi koruyan vakumlu kurutma koşulları 80°C sıcaklık ve 15 kPa mutlak basınç olmuştur. Temel bileşen analizi (PCA) ve hiyerarşik kümeleme analizi (HCA) kullanılarak, kurutma koşullarının renk ve polifenolik bileşen profilleri üzerindeki etkileri kapsamlı bir şekilde değerlendirilmiştir. Bu analizler, ürün kalitesine ilişkin kimyasal ve polifenolik profillerin ayrıştırılmasına olanak sağlamıştır.

The aim of the present study was to determine the the effects of carazolol injection during mating following progestagen + eCG administration on conception rate in breeding season Lacaune ewes. Sixty-two Lacaune ewes were used in the study. On day 0, an intravaginal sponge containing 20 mg flugestone acetate was inserted and left in place for 10 days. On day 10, the sponges were removed, and each ewe received an intramuscular injection of eCG at a dose of 480 IU. Ewes in estrus were mated with a proven rams (ewe:ram ratio of 5:1). Fifty-nine mated ewes were randomly assigned into two groups: control and treatment. In the carazolol group (n = 30), ewes received an intramuscular injection of carazolol (0.01 mg/kg; Simpanorm, Fatro, Italy) on the day of estrus, post-mating. In the control group (n = 29), ewes were not administered any treatment. Pregnancy diagnosis was conducted in all ewes on days 30 and 60 post-mating using transabdominal ultrasonography with a Hitachi EUB-405 device equipped with a 3.5 MHz convex probe. The estrus rate, conception rate, total pregnancy rate, and early fetal death rate were evaluated across all groups. The study results indicated no statistically significant differences between the control group and the carazolol group regarding conception rates (62.1% vs. 66.7%) and total pregnancy rates (79.3% vs. 83.3%). In addition, as a result of repeated ultrasound examinations, no early fetal death was found in the study. In conclusion, carazolol injection during mating following progestagen + eCG administration did not increase on fertility in breeding season Lacaune ewes.