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Cccd: Corner Detection And Curve Reconstruction For Improved 3d Surface Reconstruction From 2d Medical Images, Mriganka Sarmah, Arambam Neelima
Cccd: Corner Detection And Curve Reconstruction For Improved 3d Surface Reconstruction From 2d Medical Images, Mriganka Sarmah, Arambam Neelima
Turkish Journal of Electrical Engineering and Computer Sciences
The conventional approach to creating 3D surfaces from 2D medical images is the marching cube algorithm, but it often results in rough surfaces. On the other hand, B-spline curves and nonuniform rational B-splines (NURBSs) offer a smoother alternative for 3D surface reconstruction. However, NURBSs use control points (CTPs) to define the object shape and corners play an important role in defining the boundary shape as well. Thus, in order to fill the research gap in applying corner detection (CD) methods to generate the most favorable CTPs, in this paper corner points are identified to predict organ shape. However, CTPs must …
Focal Modulation Network For Lung Segmentation In Chest X-Ray Images, Şaban Öztürk, Tolga Çukur
Focal Modulation Network For Lung Segmentation In Chest X-Ray Images, Şaban Öztürk, Tolga Çukur
Turkish Journal of Electrical Engineering and Computer Sciences
Segmentation of lung regions is of key importance for the automatic analysis of Chest X-Ray (CXR) images, which have a vital role in the detection of various pulmonary diseases. Precise identification of lung regions is the basic prerequisite for disease diagnosis and treatment planning. However, achieving precise lung segmentation poses significant challenges due to factors such as variations in anatomical shape and size, the presence of strong edges at the rib cage and clavicle, and overlapping anatomical structures resulting from diverse diseases. Although commonly considered as the de-facto standard in medical image segmentation, the convolutional UNet architecture and its variants …
Infrared Imaging Segmentation Employing An Explainable Deep Neural Network, Xinfei Liao, Dan Wang, Zairan Li, Nilanjan Dey, Rs Simon, Fuqian Shi
Infrared Imaging Segmentation Employing An Explainable Deep Neural Network, Xinfei Liao, Dan Wang, Zairan Li, Nilanjan Dey, Rs Simon, Fuqian Shi
Turkish Journal of Electrical Engineering and Computer Sciences
Explainable AI (XAI) improved by a deep neural network (DNN) of a residual neural network (ResNet) and long short-term memory networks (LSTMs), termed XAIRL, is proposed for segmenting foot infrared imaging datasets. First, an infrared sensor imaging dataset is acquired by a foot infrared sensor imaging device and preprocessed. The infrared sensor image features are then defined and extracted with XAIRL being applied to segment the dataset. This paper compares and discusses our results with XAIRL. Evaluation indices are applied to perform various measurements for foot infrared image segmentation including accuracy, precision, recall, F1 score, intersection over union (IoU), Dice …
Multi-View Brain Tumor Segmentation (Mvbts): An Ensemble Of Planar And Triplanar Attention Unets, Snehal Rajput, Rupal Kapdi, Mehul Raval, Mohendra Roy
Multi-View Brain Tumor Segmentation (Mvbts): An Ensemble Of Planar And Triplanar Attention Unets, Snehal Rajput, Rupal Kapdi, Mehul Raval, Mohendra Roy
Turkish Journal of Electrical Engineering and Computer Sciences
3D UNet has achieved high brain tumor segmentation performance but requires high computation, large memory, abundant training data, and has limited interpretability. As an alternative, the paper explores using 2D triplanar (2.5D) processing, which allows images to be examined individually along axial, sagittal, and coronal planes or together. The individual plane captures spatial relationships, and combined planes capture contextual (depth) information. The paper proposes and analyzes an ensemble of uniplanar and triplanar UNets combined with channel and spatial attention for brain tumor segmentation. It investigates the significance of each plane and analyzes the impact of uniplanar and triplanar ensembles with …
Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha
Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha
Turkish Journal of Electrical Engineering and Computer Sciences
Chronic kidney diseases proliferate due to hypertension, diabetes, anemia, obesity, smoking etc. Patients with such conditions are sometimes unaware of first symptoms, complicating disease diagnosis. This paper presents chronic kidney disease (CKD) prediction model to classify CKD patients from NCKD (Non-CKD). The proposed study has two main stages. First, we found the odds ratio through logistic regression and comparison test to identify early risk factors from kidneys? MRI and differentiate CKD from NCKD subjects. In stage 2, LR, LDA, MLP classifiers were applied to predict CKD and NCKD by extracting features from MRI. The odds ratio of blood glucose random …
A Unique Hybrid Domain Hand-Crafted Feature To Classify Colorectal Tissue Histopathological Images Using Multiheaded Cnn, Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
A Unique Hybrid Domain Hand-Crafted Feature To Classify Colorectal Tissue Histopathological Images Using Multiheaded Cnn, Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Turkish Journal of Electrical Engineering and Computer Sciences
Early diagnosis of colorectal cancer lengthens human life and is helpful in efforts to cure the illness. Histopathological inspection is a routinely utilized technique to diagnose it. Visual assessment of histopathological images takes more investigation time, and the decision is based on the individual perceptions of clinicians. The existing methods for colorectal cancer classification use only spatial information. However, studies on the spectral domains of information are lacking in the literature. Therefore, the performance of the existing techniques is moderate. To improve the performance of colorectal cancer classification, this work proposes a unique hybrid domain hand-crafted feature formulated using scale-invariant …
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Turkish Journal of Electrical Engineering and Computer Sciences
Millions of people throughout the world suffer from the complicated and crippling condition of chronic pain. It can be brought on by several underlying disorders or injuries and is defined by chronic pain that lasts for a period exceeding three months. To better understand the brain processes behind pain and create prediction models for pain-related outcomes, machine learning is a potent technology that may be applied in Functional magnetic resonance imaging (fMRI) chronic pain research. Data (fMRI and T1-weighted images) from 76 participants has been included (30 chronic pain and 46 healthy controls). The raw data were preprocessed using fMRIprep …
Deep Feature Extraction, Dimensionality Reduction, And Classification Of Medical Images Using Combined Deep Learning Architectures, Autoencoder, And Multiple Machine Learning Models, Ahmet Hi̇dayet Ki̇raz, Fatime Oumar Djibrillah, Mehmet Emi̇n Yüksel
Deep Feature Extraction, Dimensionality Reduction, And Classification Of Medical Images Using Combined Deep Learning Architectures, Autoencoder, And Multiple Machine Learning Models, Ahmet Hi̇dayet Ki̇raz, Fatime Oumar Djibrillah, Mehmet Emi̇n Yüksel
Turkish Journal of Electrical Engineering and Computer Sciences
Accurate analysis and classification of medical images are essential factors in clinical decision-making and patient care. A novel comparative approach for medical image classification is proposed in this study. This new approach involves several steps: deep feature extraction, which extracts the informative features from medical images; concatenation, which concatenates the extracted deep features to form a robust feature vector; dimensionality reduction with autoencoder, which reduces the dimensionality of the feature vector by transforming it into a different feature space with a lower dimension; and finally, these features obtained from all these steps were fed into multiple machine learning classifiers (SVM, …
A Portable And Low-Cost Incubator System Enabling Real-Time Cell Imaging Based On A Smartphone, Ari̇f Engi̇n Çeti̇n
A Portable And Low-Cost Incubator System Enabling Real-Time Cell Imaging Based On A Smartphone, Ari̇f Engi̇n Çeti̇n
Turkish Journal of Physics
Incubators serve as essential tools for maintaining optimal temperature, humidity, and atmospheric gas composition for cell cultures. Their applications span across various fields like cell biology, microbiology, and molecular biology. However, in many cell-based studies, observing cellular changes often necessitates moving cells out of the incubator for microscope examination. Unfortunately, exposing cells to an environment that does not support healthy growth can undermine the reliability of test outcomes. In this article, we present a groundbreaking solution: a cost-effective, portable incubator system seamlessly integrated with a smartphone for real-time characterization tests. This innovation offers comparable imaging capabilities and maintains an environment …
Cognitive Load Detection Using Ci-Ssa For Eeg Signal Decomposition And Nature-Inspired Feature Selection, Jammisetty Yedukondalu, Lakhan Dev Sharma
Cognitive Load Detection Using Ci-Ssa For Eeg Signal Decomposition And Nature-Inspired Feature Selection, Jammisetty Yedukondalu, Lakhan Dev Sharma
Turkish Journal of Electrical Engineering and Computer Sciences
Cognitive load detection is eminent during the mental assignment of neural activity because it indicates how the brain reacts to stimuli. The level of cognitive load experienced during mental arithmetic tasks can be determined using an electroencephalogram (EEG). The EEG data were collected from publicly available datasets, namely, mental arithmetic task (MAT) and simultaneous task workload (STEW). The first phase comprises decomposing the electroencephalogram (EEG) signal into intrinsic mode functions (IMFs) using circulant singular spectrum analysis (Ci-SSA). In the second phase, entropy-based features were evaluated using IMFs. After that, the extracted features were fed to nature-inspired feature selection algorithms: genetic …
Recognizing Handwritten Digits Using Spiking Neural Networks With Learning Algorithms Based On Sliding Mode Control Theory, Yeşi̇m Öni̇z, Mehmet Ayyildiz
Recognizing Handwritten Digits Using Spiking Neural Networks With Learning Algorithms Based On Sliding Mode Control Theory, Yeşi̇m Öni̇z, Mehmet Ayyildiz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a spiking neural network (SNN) has been proposed for recognizing the digits written on the LCD screen of an experimental setup. The convergence of the learning algorithm has been ensured by using sliding mode control (SMC) theory and the Lyapunov stability method for the adaptation of the network parameters. The spike response model (SRM) has been utilized in the design of the SNN. The performance of the proposed learning scheme has been evaluated both on the experimental data and on the MNIST dataset. The simulated and experimental results of the SNN structure have been compared with the …
A Machine Learning Approach For Dyslexia Detection Using Turkish Audio Records, Tuğberk Taş, Muhammed Abdullah Bülbül, Abas Haşi̇moğlu, Yavuz Meral, Yasi̇n Çalişkan, Gunay Budagova, Mücahi̇d Kutlu
A Machine Learning Approach For Dyslexia Detection Using Turkish Audio Records, Tuğberk Taş, Muhammed Abdullah Bülbül, Abas Haşi̇moğlu, Yavuz Meral, Yasi̇n Çalişkan, Gunay Budagova, Mücahi̇d Kutlu
Turkish Journal of Electrical Engineering and Computer Sciences
Dyslexia is a learning disorder, characterized by impairment in the ability to read, spell, and decode letters. It is vital to detect dyslexia in earlier stages to reduce its effects. However, diagnosing dyslexia is a time-consuming and costly process. In this paper, we propose a machine-learning model that predicts whether a Turkish-speaking child has dyslexia using his/her audio records. Therefore, our model can be easily used by smart phones and work as a warning system such that children who are likely to be dyslexic according to our model can seek an examination by experts. In order to train and evaluate, …
Two New Species Of Tulostoma (Agaricales, Basidiomycota) From The Neotropics, Alexandro Lima, Gislaine Melanda, Paulo Marinho, T A, María Paz Martín, Iuri Baseia
Two New Species Of Tulostoma (Agaricales, Basidiomycota) From The Neotropics, Alexandro Lima, Gislaine Melanda, Paulo Marinho, T A, María Paz Martín, Iuri Baseia
Turkish Journal of Botany
Tulostoma catimbauense and T. deltaconcavum, both collected from Neotropical region, in the Vale do Catimbau National Park, Brazil, are proposed as new to science. Detailed macro- and micromorphological descriptions, including scanning electron microscopy of the basidiospores, are provided. ITS nrDNA sequence analyses were used to investigate the phylogenetic position of these taxa in the genus Tulostoma. Discussions about related species were carried out.
Pollen Morphology Of Some Tanacetum L. (Asteraceae) Taxa And Its Systematic Value, Murat Kurşat, İsmai̇l Çelti̇k, Bi̇rol Başer, Fahretti̇n Özbey, İrfan Emre
Pollen Morphology Of Some Tanacetum L. (Asteraceae) Taxa And Its Systematic Value, Murat Kurşat, İsmai̇l Çelti̇k, Bi̇rol Başer, Fahretti̇n Özbey, İrfan Emre
Turkish Journal of Botany
Pollen grains of 24 Tanacetum taxa from Türkiye were examined by light (LM) and scanning electron microscopy (SEM). Detailed pollen morphological characteristics are provided for these taxa. According to the 24 analyzed taxa, T. parthenifolium has the smallest pollen grains, and T. aurem var. aurem possesses the largest ones. The basic shape of the pollen grains in most taxa is oblatespheroidal. However, suboblate pollen grains are recorded for T. balsamitoides, T. aurem var. aurem, and T. tomentellum. The polar axis ranges from 16.56 to 26.14 µm, and the equatorial diameter ranges from 17.64 to 30.12 µm in this study. …
A New Scrophularia (Scrophulariaceae) Species Without Staminodes In The Enigmatic ?Canina Clade? From The Western Taurus (Türkiye), Candan Aykurt, Mertcan Gülben, Bariş Özüdoğru, Duygu Sari, İsmai̇l Gökhan Deni̇z, Burçi̇n Çingay
A New Scrophularia (Scrophulariaceae) Species Without Staminodes In The Enigmatic ?Canina Clade? From The Western Taurus (Türkiye), Candan Aykurt, Mertcan Gülben, Bariş Özüdoğru, Duygu Sari, İsmai̇l Gökhan Deni̇z, Burçi̇n Çingay
Turkish Journal of Botany
The new species of Scrophularia was discovered among the screes and stony slopes of the Alakır Valley (Antalya) located in the Western Taurus. The most remarkable morphological feature of the species is its flowers without staminodes. With this feature, the species is unique among the representatives of the ?Canina? clade in Türkiye. The new species is closely related to S. floribunda endemic to Türkiye and East Aegean Islands (Greece) according to our phylogenetic analyses based on the nuclear ITS and chloroplast trnL-F regions. Apart from its corollas without staminodes, the new species differs from its morphologically similar …
Evaluation Of Phytochemicals And The Role Of Oxidative Stress Pathways During Fruit Development In Strawberries (Fragaria×Ananassa), Fahimeh Mokhtari Shojaee, Elham Mohajel Kazemi, Houshang Nosrati, Maryam Kolahi, Mehdi Haghi
Evaluation Of Phytochemicals And The Role Of Oxidative Stress Pathways During Fruit Development In Strawberries (Fragaria×Ananassa), Fahimeh Mokhtari Shojaee, Elham Mohajel Kazemi, Houshang Nosrati, Maryam Kolahi, Mehdi Haghi
Turkish Journal of Botany
Strawberries (Fragaria × ananassa) are one of the Rosaceae family, considered economically and nutritionally important berry fruits. Phytochemicals are crucial ingredients that contribute to characteristics such as the fruit?s aroma and flavor. The current study investigated the phytochemical characteristics of strawberry fruit at three developmental stages (green, white, and red). HPLC measurements determined the glucose, fructose, and sucrose concentrations significantly increased in the red fruit, whereas glucose was identified as the major sugar in ripe fruit (2.8 g.g-1FW). Evaluation of the phenylpropanoid pathway implied that the amount of total phenol and flavonoid following phenylalanine ammonia-lyase enzyme activity decreased …
Nuclear Dna Content And Ploidy Levels Of Living Apple Germplasm Collection In Türkiye, Emel Kaçal, Yaren İpek Şi̇mşek, Turgay Seymen, Şeri̇f Özongun, Meti̇n Tuna
Nuclear Dna Content And Ploidy Levels Of Living Apple Germplasm Collection In Türkiye, Emel Kaçal, Yaren İpek Şi̇mşek, Turgay Seymen, Şeri̇f Özongun, Meti̇n Tuna
Turkish Journal of Botany
One of the key uses of flow cytometry is the estimation of nuclear DNA content and ploidy level, which has proven a reliable and effective approach in many studies. The primary goal of this research is to estimate the nuclear DNA content and ploidy level of the apple genetic resource collection maintained in the Fruit Research Institute?s living Malus collection for the first time using flow cytometry (for autochthonous varieties). Fresh apple leaf tissues were used for the flow cytometry analysis. For each genotype, nuclear DNA analysis was performed on three individual plants. Propidium iodide (PI) is used as a …
Determination Of The Genetic Diversity, Population Structure, And Some Ecological Preferences Of The Endemic Muscari Adilii, Ali̇ Murat Keser, Ahmet Emre Yaprak, Gül Ni̇lhan Tuğ
Determination Of The Genetic Diversity, Population Structure, And Some Ecological Preferences Of The Endemic Muscari Adilii, Ali̇ Murat Keser, Ahmet Emre Yaprak, Gül Ni̇lhan Tuğ
Turkish Journal of Botany
The population structure and genetic diversity of M. adilii and some edaphic and climatic preferences of the species were investigated. Although the chemical characteristics such as pH, EC, and gypsum were similar for the three subpopulations, the physical qualities and lime content of the soil were different from each other. In terms of bioclimate, the Nallıhan station (Nallıhan Bird Sanctuary) has a lower annual average temperature and precipitation value, and monthly average values during the germination and flowering periods, than the Beypazarı station (Hırkatepe and Çoban Ahmet Fountain). Amplification with 16 ISSR markers produced 377 bands from 84 individuals belonging …
Increasing Temperatures Can Pose An Opportunity To Recover Endemic And Endangered Oriental Sweetgum Tree (Liquidambar Orientalis Mill.) From Extinction, Okan Ürker, Nurbahar Usta Baykal, Eren Ada
Increasing Temperatures Can Pose An Opportunity To Recover Endemic And Endangered Oriental Sweetgum Tree (Liquidambar Orientalis Mill.) From Extinction, Okan Ürker, Nurbahar Usta Baykal, Eren Ada
Turkish Journal of Botany
Evidence suggests that past climatic oscillations caused many species to drastically change their distribution range and had significant impacts on their survival capabilities. There is significant evidence suggesting that today's changing climate threatens many species to face a rapid extinction period in the coming decades and centuries. Understanding the changing range patterns provides significant input on biodiversity and conservation biology studies. However, warming climatic conditions may also present an opportunity for some species to expand their habitats?particularly those adapted to warmer environments. In this study, we asked how near-future climate change will affect the distribution range of the oriental sweetgum …
Fractional Semilinear Neumann Problem With Critical Nonlinearity, Zhenfeng Jin, Hongrui Sun
Fractional Semilinear Neumann Problem With Critical Nonlinearity, Zhenfeng Jin, Hongrui Sun
Turkish Journal of Mathematics
In this paper, we consider the following critical fractional semilinear Neumann problem \begin{equation*} \begin{cases} (-\Delta)^{1/2}u+\lambda u=u^{\frac{n+1}{n-1}},~u>0\quad&\, \mathrm{in}\ \Omega,\\ \partial_\nu{u}=0 &\mathrm{on}\ \partial\Omega, \end{cases} \end{equation*} where $\Omega\subset\mathbb{R}^n~(n\geq5)$ is a smooth bounded domain, $\lambda>0$ and $\nu$ is the outward unit normal to $\partial\Omega$. We prove that there exists a constant $\lambda_0>0$ such that the above problem admits a minimal energy solution for $\lambda<\lambda_0$. Moreover, if $\Omega$ is convex, we show that this solution is constant for sufficiently small $\lambda$.
Microplastic Intake Of Unio Mancus Lamarck 1819 Collected From Ataturk Dam Lake, Türkiye, Sedat Gündoğdu
Microplastic Intake Of Unio Mancus Lamarck 1819 Collected From Ataturk Dam Lake, Türkiye, Sedat Gündoğdu
Turkish Journal of Zoology
No abstract provided.
Estimation Of Individual Growth Of The Violet Oyster Chama Coralloides (Bivalvia: Chamidae) Using Schnute Model Cases., Alma Rubí Castrejón Ríos, Carmina Torreblanca Ramirez, Rafael Flores-Garza, Pedro Flores Rodríguez, Juan Carlos Cerros Cornelio, Jesús Guadalupe Padilla Serrato
Estimation Of Individual Growth Of The Violet Oyster Chama Coralloides (Bivalvia: Chamidae) Using Schnute Model Cases., Alma Rubí Castrejón Ríos, Carmina Torreblanca Ramirez, Rafael Flores-Garza, Pedro Flores Rodríguez, Juan Carlos Cerros Cornelio, Jesús Guadalupe Padilla Serrato
Turkish Journal of Zoology
No abstract provided.
Tolerance Limit Of Physicochemical Water Parameters In Giant Freshwater Prawn (Macrobrachium Rosenbergii) In A Captive Condition, Rasina Rasid, Amira Liyana Tajuddin, Mohamad Abu Ubaidah Amir Abu Zarim, Suresh Thanakodi, Syarifah Bahiyah Rahayu, Nur Diyana Kamarudin, Amy Aineda Omar, Mohd Fazrul Hisam Abdul Aziz, Ahasan Habib
Tolerance Limit Of Physicochemical Water Parameters In Giant Freshwater Prawn (Macrobrachium Rosenbergii) In A Captive Condition, Rasina Rasid, Amira Liyana Tajuddin, Mohamad Abu Ubaidah Amir Abu Zarim, Suresh Thanakodi, Syarifah Bahiyah Rahayu, Nur Diyana Kamarudin, Amy Aineda Omar, Mohd Fazrul Hisam Abdul Aziz, Ahasan Habib
Turkish Journal of Zoology
No abstract provided.
The Effects Of Various Lake Typologies On The Distribution Of Chironomus Spp. (Diptera), And Arguments On Optional Factors Of Water Framework Directive In Turkiye, Recep Bakir, Gürçay Kivanç Akyildiz, Mustafa Duran
The Effects Of Various Lake Typologies On The Distribution Of Chironomus Spp. (Diptera), And Arguments On Optional Factors Of Water Framework Directive In Turkiye, Recep Bakir, Gürçay Kivanç Akyildiz, Mustafa Duran
Turkish Journal of Zoology
No abstract provided.
A Review Of Chromatic Anomalies In Blanus (Amphisbaenia: Blanidae) Through Citizen Science Records, Carolina Paiva, Jan Van Der Winden, Serge Bogaerts, Henrique Costa
A Review Of Chromatic Anomalies In Blanus (Amphisbaenia: Blanidae) Through Citizen Science Records, Carolina Paiva, Jan Van Der Winden, Serge Bogaerts, Henrique Costa
Turkish Journal of Zoology
No abstract provided.
Records Of Atypical Pigmented Bottlenose Dolphins (Tursiops Truncatus) At The South-Western Coast Of The Black Sea (Zonguldak, Türkiye), Nastassi̇a Uluduz, Karina Vishnyakova, Mustafa Sözen
Records Of Atypical Pigmented Bottlenose Dolphins (Tursiops Truncatus) At The South-Western Coast Of The Black Sea (Zonguldak, Türkiye), Nastassi̇a Uluduz, Karina Vishnyakova, Mustafa Sözen
Turkish Journal of Zoology
No abstract provided.
Assessment Of Genetic Diversity And Search For Plum Pox Virus Resistance Alleles Of Apricot (Prunus Armeniaca L.) Genotypes Spread In Azerbaijan Using Ssr Markers, Ami̇na Raki̇da, Necati̇ Çeti̇nsağ, Zeynal Akparov, Logman Bayramov, Sevda Babayeva, Vusala Izzatullayeva, Mehraj Abbasov, Sezai̇ Erci̇şli̇, Kahraman Gürcan
Assessment Of Genetic Diversity And Search For Plum Pox Virus Resistance Alleles Of Apricot (Prunus Armeniaca L.) Genotypes Spread In Azerbaijan Using Ssr Markers, Ami̇na Raki̇da, Necati̇ Çeti̇nsağ, Zeynal Akparov, Logman Bayramov, Sevda Babayeva, Vusala Izzatullayeva, Mehraj Abbasov, Sezai̇ Erci̇şli̇, Kahraman Gürcan
Turkish Journal of Agriculture and Forestry
Apricot is one of the most important stone-fruit plants widely cultivated in Azerbaijan. SSR markers were used to evaluate the genetic diversity of 61 apricot genotypes representing the entire gene pool in Azerbaijan. A total of 138 alleles were produced based on 17 SSR markers with an average of 8.1 alleles per primer. The polymorphism information content (PIC) and expected (He) heterozygosity for individual loci were in the range of 0.42–0.8 (mean 0.68) and 0.52–0.82 (mean 0.72), respectively, indicating the abundant genetic variation in Azerbaijani apricot cultivars. The polymorphisms generated by SSRs were enough to differentiate 95% of genotypes, while …
Expression Of The Genes (Cbf2, Cbf4, Nced1, Myb14, Pld) During Acclimation And De-Acclimation In Dormant Buds Of Chambourcin And 3309 C Grapevine Accessions, Di̇lek Karataş, Hüseyi̇n Karataş
Expression Of The Genes (Cbf2, Cbf4, Nced1, Myb14, Pld) During Acclimation And De-Acclimation In Dormant Buds Of Chambourcin And 3309 C Grapevine Accessions, Di̇lek Karataş, Hüseyi̇n Karataş
Turkish Journal of Agriculture and Forestry
Deacclimatization results in a loss of bud cold-hardiness whereas cold acclimation results in an increase in it. The regulation of the buds’ cold acclimation and deacclimation in woody plants are poorly understood. This study indicated that differential gene expression during acclimation and transition of the buds from acclimation to deacclimation in the light of dormancy and bud water content. One-year-old vine latent bus of cv. Chambourcin vines and 3309 C (Vitis riparia x Vitis rupestris) were used for the analyses. Five genes (CBF2, CBF4, NCED1, MYB14, and PLD) were selected for quantitative real-time PCR. Quantitative real-time PCR was applied to …