Life Sciences Commons^™

Ecotoxicological Assessment Of A Sunscreen-Derived Pollutant, Benzophenone-2, On Freshwater Fish (Labeo Rohita), Mina Jamil, Sajid Abdullah, Maham Riaz, Sana Aziz

Turkish Journal of Zoology

Ultraviolet filters (UVFs) are constituents of skincare products that protect skin against UV ray damage, such as suntan, sunburn, and skin tumors. Due to their ability to biotransform, UVFs are considered emerging pollutants. Benzophenone-2 (BP-2), with a yellowish crystalline appearance, is one of the widely used UVFs in skincare products. It enters the aquatic environment by washing off the skin during swimming and recreational activities and becomes hazardous to aquatic life due to its lipophilicity and bioaccumulative potential. This study was designed to evaluate the acute and chronic toxicity of BP-2 for the freshwater fish Labeo rohita. For acute toxicity, …

Morphological Variability And Systematics Of Ponto-Caspian Cladocerans Of The Genus Cercopagis Sars, 1897 (Branchiopoda: Onychopoda: Cercopagidae), Larisa F. Litvinchuk, Spartak N. Litvinchuk

Turkish Journal of Zoology

In recent decades, significant changes have occurred in the composition of zooplankton, especially in the Ponto-Caspian Basin. An important component of zooplankton in this region is cladocerans of the genus Cercopagis. However, the introduction of invasive species means that many species of this genus have probably become extinct. Because their disappearance molecular study of these organisms is no longer possible. Therefore, a comparative analysis of morphological variability has become more important. We studied the morphological variability of all 12 currently known species of the genus. Samples from the Caspian, Azov, Black, and Baltic Seas were analyzed. The number of species …

Microplastic Pollution In Marine Ecosystems: Sources, Impacts, Andstakeholder-Based Solutions, Seren Acarer Arat

Turkish Journal of Biology

Microplastics (MPs) are plastic particles of anthropogenic origin with a size range of 1–5000 μm. Marine MP pollution is increasingly recognized as a significant global environmental challenge. MPs, which enter marine ecosystems from land- and marine-based sources, pose physical, chemical, and biological risks due to the adsorption of various pollutants and the formation of biofilm layers. MPs are found in various organisms from lower to higher trophic levels of the marine food web. The negative effects of MPs on marine organisms depend on their abundance, their characteristics, and the exposure time of organisms to MPs. MPs can adversely affect various …

Application Of Biological And Green Nanomaterials In Wastewater Treatment: Techniques For The Effective Removal Of Dyes, Heavy Metals, And Organic Pollutants, Emi̇ne Sena Kazan Kaya, Zeynep Ci̇ğeroğlu, Tansel Kemerli̇ Kalbaran, Başak Temur Ergan, Zeynep Mi̇ne Şenol, Meral Yildirim Yalçin

Turkish Journal of Biology

Background/aim: Wastewater from industrial, agricultural, and residential sources poses significant environmental and public health risks due to the presence of dyes, heavy metals, and organic pollutants. Conventional treatment methods are often inadequate for the complete removal of these pollutants. Therefore, the development of sustainable, environmentally friendly, and highly efficient treatment techniques has become increasingly important. The aim of this review is to evaluate the application of biological and green nanomaterials in wastewater treatment and to compare their effectiveness against different types of pollutants (dyes, heavy metals, and organics).

Materials and methods: This review provides detailed information on the removal of …

A Review Of Deep Learning Architectures For Plant Disease Detection​, Yasi̇n Kaya, Ercan Gürsoy

Turkish Journal of Biology

Background/aim: The rapid advancement of deep learning (DL) has revolutionized plant disease detection by enabling highly accurate, image-based diagnostic solutions. This review provides a comprehensive synthesis of DL-based methodologies for plant disease detection, systematically structured around the key stages of the modeling pipeline, encompassing data acquisition, preprocessing, augmentation, classification, detection, segmentation, and deployment.

Materials and methods: The review focuses on evaluating convolutional neural network (CNN) architectures such as VGG, ResNet, EfficientNet, and DenseNet across diverse experimental contexts. Classification strategies are categorized according to their integration of visualization techniques (e.g., saliency maps, Grad-CAM) to enhance model interpretability, emphasizing the pivotal role …

Green Carbon Dots In The Era Of Ai: Sustainable Synthesis, Intelligent Drug Delivery, Advanced Diagnostics, And Bioimaging, Emi̇ne Sezer, Fulden Ulucan Karnak, Si̇nan Akgöl

Turkish Journal of Biology

Background/aim: Green carbon dots (GCDs) are a rapidly developing class of nanomaterials that are revolutionizing various scientific disciplines due to their unique optical properties, low toxicity, and sustainable synthesis. This review offers a comprehensive roadmap for the field, emphasizing the synergy between GCDs and artificial intelligence (AI).

Materials and methods: We begin by detailing the sustainable synthesis of GCDs, highlighting green chemistry principles and the transformative role of AI in optimizing their production. Subsequently, we explore the critical characterization of GCDs, including their structural, optical, and biocompatibility assessment. The core of this study explores the diverse biomedical applications of GCDs, …

Applications Of Transfer Learning In Sunflower Disease Detection: Advances, Challenges, And Future Directions, Yonis Gulzar

Turkish Journal of Biology

Background/aim: Sunflower (Helianthus annuus) is a crop of high economic and nutritional importance that continues to suffer significant yield losses due to foliar diseases. Traditional image-based and laboratory detection techniques remain limited by subjectivity, cost, and scalability. Transfer learning (TL) has recently emerged as an effective approach to overcoming these challenges involving the reuse of pretrained deep models for plant pathology tasks. Presented here is a systematic examination of recent TL-based studies on sunflower disease classification to identify prevailing trends, research gaps, and future opportunities.

Materials and methods: A structured Scopus query was employed to retrieve peer-reviewed articles published between …

Principles Of Environmentally Sustainable Agriculture For Building Resilient And Resource-Efficient Food Systems, Ramazan Çakmakçi, Songül Çakmakçi, Muhammet Fati̇h Çakmakçi

Turkish Journal of Biology

As the demand for greater quantities of higher-quality food grows with population expansion, climate change, urbanization, and unsustainable agricultural practices accelerate the loss of arable land, ultimately threatening agricultural sustainability. Population growth necessitates a transition to nutritious, safe, and healthy food production systems that ensure higher yields, less reduced waste, improved social outcomes, and the integration of economic, social, and environmental sustainability principles. Urgent global challenges such as resource depletion, biodiversity loss, and climate change necessitate the protection of ecosystems and the sustainable use of natural resources. Agricultural systems must enhance food production and supply productivity, strengthen system resilience, and …

Artificial Intelligence In Medical And Biological Research: Promise And Perils Of Chatgpt And Deepseek In Advancing Healthcare, Mahmut Enes Kayaalp, Onur Gülteki̇n, Serhat Akçaalan, Hami̇t Çağlayan Kahraman, Hüseyi̇n Nevzat Topçu, Gülşah Kavrul Kayaalp

Turkish Journal of Biology

Background/aim: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT and DeepSeek, is being increasingly applied in clinical care, research, and education. The aim of this review is to examine how these tools may transform the conduct of medical and biological research and to define their limitations.

Materials and methods: A narrative synthesis of the literature was performed, encompassing studies published between 2020 and 2025. Peer-reviewed journals, systematic reviews, and high-impact original research articles were included to ensure an evidence-based overview. The principle applications, validation metrics, and clinical implications across orthopedics, oncology, cardiology, internal medicine, and the biological …

A Systematic Review Of Machine Learning In Heart Disease Prediction, Tathagat Banerjee, İshak Paçal

Turkish Journal of Biology

Background/aim: Cardiovascular diseases (CVDs) are a leading cause of global mortality, prompting the need for advanced predictive tools. While machine learning (ML) offers a powerful solution, there are significant challenges to clinical translation. This systematic review synthesizes the current state of ML in heart disease prediction, evaluating algorithmic performance, data utilization, and key translational challenges.

Materials and methods: Following PRISMA guidelines, a systematic search of literature published up to 2025 was conducted. From an initial pool of over 2500 records, a rigorous screening process yielded 65 studies for in-depth qualitative synthesis.

Results: Analysis showed that ensemble learning models dominate prediction …

Flavonoids And Phenolic Compounds: A Promising Avenue For Neurodegenerative Disease Therapy, Tesli̇me Özge Şahi̇n, Özge Cemali̇, Merve Özdemi̇r, Şeri̇fe Ayten, Duygu Ağagündüz

Turkish Journal of Biology

Background/aim: Neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS are characterized by a progressive loss of nerve cells, for which no definitive cure currently exists. These conditions share common pathological mechanisms, including chronic neuroinflammation, oxidative stress, protein aggregation, and mitochondrial dysfunction. Flavonoids and other plant-derived phenolic compounds have recently attracted attention for the treatment of such conditions due to their antiinflammatory and antioxidant properties. This review explores the neuroprotective mechanisms of flavonoids and evaluates their potential for the prevention and treatment of neurodegenerative diseases.

Materials and methods: A literature search of the Web of Science, PubMed, and ScienceDirect databases …

Hsa_Circ_0001776 Regulates The Progression Of Acute Myeloid Leukemia Through The Mir-1269b/Pten Axis, Yaoyao Wang, Xiancong Yang, Simin Rong, Xiaoxu Lan, Chenhui Ti, Weimiao Sun, Baohui Yin, Youjie Li, Yunxiao Sun

Turkish Journal of Biology

Background/aim: Acute myeloid leukemia (AML) is a malignant neoplasm arising from bone marrow hematopoietic stem cells. It is a common subtype of childhood leukemia and remains challenging to cure. Emerging evidence suggests that circular RNAs (circRNAs), a class of noncoding RNAs, play key regulatory roles in tumor biology. Among their various functions, circRNAs often act as ‘sponges’ for microRNAs (miRNAs), modulating gene expression posttranscriptionally. This study investigates the functional role and clinical relevance of hsa_circ_0001776 in AML.

Materials and methods: Three AML cell lines and 22 peripheral blood samples were analyzed. Differential expression analysis of circRNAs in a GSE dataset …

Royal Jelly With Ellagic Acid Inhibits The Glycolytic Pathway And Induces Apoptosis Through Multiple Pathways In Colorectal Cancer, Tuğba Kul Köprülü

Turkish Journal of Biology

Background/aim: Developing novel chemotherapeutics with high anticancer efficacy and low toxicity remains a critical challenge in oncology. Natural products have shown promise due to their multitargeted activity and favorable safety profiles. The present study investigates the combined anticancer effects of royal jelly (RJ) and ellagic acid (EA), two potent antioxidants of animal and plant origin.

Materials and methods: Royal jelly (RJ) and ellagic acid (EA) were applied to HT29 (ATCC HTB-38, Human colorectal adenocarcinoma), HCT116 (ATCC CCL-247, Human colorectal carcinoma) and BEAS-2B (ATCC CRL-3588, human bronchial epithelium) cell lines, and their antiproliferative effects were evaluated using a xCELLigence Real-Time Cell …

Differential Modulation Of Cisplatin Efficacy By Montelukast Sodium And Desloratadine In Lung Cancer, Seha Akduman, Büşra Yüksel, Di̇dem Teci̇mel, Ömer Faruk Bayrak, Di̇dem Seven, Fi̇kretti̇n Şahi̇n

Turkish Journal of Biology

Background/aim: Despite advances in treatment, achieving effective and durable responses with chemotherapy remains a significant challenge in lung cancer management. This study investigates the effects of montelukast sodium (MLS) and desloratadine (DES), alone and in combination with cisplatin (CIS), on cell viability, apoptosis, cell cycle distribution, and antioxidant gene expression in A549 and DMS114 lung cancer cell lines.

Materials and methods: Cells were treated with CIS, MLS, DES, and their combinations for 24–72 h. Cell viability was assessed via MTS assay; apoptosis and cell cycle progression were analyzed by flow cytometry. The expression of antioxidant-related genes (GPX4, GSR, GCLC) was …

Evaluating Sh-Sy5y Cells As A Dopaminergic Neuronal Model: Morphological, Transcriptomic, And Proteomic Insights, Eylül Ece İşlek Camadan, Mehmet Sarihan, Murat Kasap, Gürler Akpinar, Eli̇fcan Koçyi̇ği̇t

Turkish Journal of Biology

Background/aim: The SH-SY5Y neuroblastoma cell line is a popular in vitro model for neurodegenerative disease research, especially Parkinson’s disease (PD) research, but its use is complicated by limitations like the persistence of neuroblastoma-like features, unstable differentiation, mitochondrial dysfunction, and cellular stress. To address these limitations, this study tested a blended, nine-day differentiation protocol that sequentially applied all-trans retinoic acid (RA), brain-derived neurotrophic factor (BDNF), and dibutyryl cyclic adenosine monophosphate (dbcAMP). By evaluating key neuronal, dopaminergic, and PD-related markers, the research aims to determine if these differentiated SH-SY5Y cells are a suitable model for studying PD.

Materials and methods: A blended …

Tumor-Specific Cytotoxicity Of Pyrazole-Based Chalcone Derivatives In Human Oral Squamous Cell Carcinoma Cell Lines, Mehtap Tuğrak Sakarya, Hali̇se İnci̇ Gül, Hiroshi Sakagami, Junko Nagai, Yoshihiro Uesawa, Kenjiro Bandow

Turkish Journal of Biology

Background/aim: Pyrazole-based chalcone hybrids are notable in medicinal chemistry for their potential biological activity, although their tumor-specific cytotoxicity and mechanisms remain unknown in OSCC cells. This first study of pyrazole-chalcone hybrids in OSCC cells explores the tumor-selective cytotoxic effects and underlying cell death mechanisms triggered by a series of 10 newly synthesized pyrazole-based compounds (MS1MS10) in OSCC cell lines. Material and methods: The cytotoxic effects of the compounds were assessed using the MTT assay on four human OSCC cell lines and three types of normal human oral cells. The tumor-selectivity index (TS) and potency-selectivity expression (PSE) were calculated, and active …

The Effects Of The Combined Use Of Carbon Quantum Dots And Antibacterial Agents On Pathogenic Bacteria, Derya Doğanay, İbrahi̇m Serkan Avşar, Şevval Maral Özcan Aykol, Gamze Çamlik, Besa Bi̇lakaya, İsmai̇l Tuncer Deği̇m

Turkish Journal of Biology

Background/aim: This study evaluates the challenges associated with overcoming antimicrobial resistance and innovative approaches to combat multidrug-resistant (MDR) bacterial infections.

Materials and methods: Novel codoped carbon quantum dots (CCQDs) were synthesized using citric acid as the carbon source and L-cysteine as the nitrogen codoping atom. The formulation in which citric acid was retained was designated as CCQDs-1, whereas the purified version, from which citric acid was removed, was termed CCQDs-2. The antibacterial properties of CCQDs-1 and CCQDs-2 were compared using the agar well diffusion method. This study comprehensively characterizes these nanomaterials and evaluates their antibacterial potential, both alone and in …

Unraveling The Genetic Architecture Of Rice Yield Potential By Investigating The Impacts Of Heterosis And Inbreeding Depression, Shahwar Fatima, Muhammad Rashid, Dalal Sulaiman Alshaya, Adeel Khan, Areeqa Shamshad, Zia-Ul Qamar, Asim Abbasi, Kotb Attia, Sajid Fiaz, Qamar Uz Zaman

Turkish Journal of Agriculture and Forestry

Understanding the inheritance pattern, heterotic groups, and inbreeding depression is a prerequisite for hybrid rice seed production. Therefore, this study employed a full diallel mating system involving two tall varieties and three medium-statured mutants. The results revealed the significant differences in plant height, panicle length, tillers per plant, fertility percentage and grain yield. Heterosis was more pronounced for grain yield (24.2%), followed by tillers per plant (19.8%), and panicle length (19.2%). Conversely, inbreeding depression was lowest for tillers per plant (–11.5%) and grain yield (–6.8%). The additive–dominance model provided a good fit for tillers per plant and plant height, indicating …

Exocysteine Application Mitigates Salt Stress In Chickpea (Cicer Arietinum L.), Ece Ni̇sa İmamoğlu, Murat Erdem Güzel, Asi̇m Kadioğlu, Aykut Sağlam

Turkish Journal of Agriculture and Forestry

Environmental factors such as salt stress inhibit the growth of plants and agricultural productivity. Exogenous amino acid application has been shown to benefit plants. However, the effect of cysteine application on salt stress reduction in chickpea (Cicer arietinum L.) is unknown. This study examined how exogenous cysteine could reduce salt stress in 2 chickpea cultivars with different salt tolerances. Salt-resistant Gökçe and salt-sensitive Küsmen cultivars were subjected to 100 mM NaCl stress with or without a 100 μM Cys pretreatment. Without Cys pretreatment, salt stress caused the sensitive Küsmen variety to lose 1.49 times its dry weight and 1.35 times …

Effect Of Three Different Crop Rotations On Seed Productivity And Soil Properties In Organic Tomato Seed Production: A Comprehensive 13-Year Field Study With Three Cycles, Gülay Beşi̇rli̇, İbrahi̇m Sönmez, Bariş Albayrak, Mehmet Şi̇mşek, Zühtü Polat, Nesri̇n Uzunoğullari, Nesri̇n Tunali̇, Gürsel Çeti̇n, Razi̇ye Kul

Turkish Journal of Agriculture and Forestry

This study was carried out to investigate the effects of three different crop rotation practices and three cycle periods on tomato seed yield and quality and some soil characteristics in organic farming conditions. The crop rotations included tomato as the primary crop along two intercrops (CR-1: tomato-leek-okra crop rotation, CR-2: tomato-head cabbage-lettuce crop rotation, CR-3: tomato-watermelon-onion crop rotation). At the end of the study, seed yield and quality of other vegetable species (leek, okra, head cabbage, lettuce, watermelon, and onion) included in the trial along with tomato, seed-borne pathogens, and some soil properties of the trial area were determined. The …

Changes In Phenolics And Organic Acid Contents Of Postharvest Eggplants In Response To Preharvest Fertilizer Applications And Postharvest Edible Coatings, Nuretti̇n Yilmaz, Şeyda Çavuşoğlu

Turkish Journal of Agriculture and Forestry

Pre- and postharvest techniques play a key role in improving the quality and shelf life of fresh horticultural products. The aim of this 2-year study was to evaluate the postharvest phenolic and organic acid content in eggplants under different fertilizers and postharvest treatments. Before planting, all plots were treated with 2000 cc da−1 of humic acid through a drip irrigation system. Plots treated only with humic acid were considered the control group. Fifteen days after planting, the other plots were treated with 2000 cc da−1 of liquid vermicompost fertilizer or 2000 cc da−1 of organomineral fertilizer via drip irrigation. Postharvest, …

Development Of Functional Cottage Cheese Enriched With Elderberry Pomace Powder: Nutritional And Antioxidant Enhancement, Roxana Nicoleta Ratu, Florina Stoica, Ioana Cristina Crivei, Ionut Dumitru Velescu, Florin Daniel Lipsa, Andreea Bianca Balint, Romina Alina Marc, Petru Marian Cârlescu, Marius Giorgi Usturoi, Emi̇ne Maci̇t

Turkish Journal of Agriculture and Forestry

The increasing demand for sustainable and functional foods has driven interest in utilising agro-industrial by-products, such as elderberry pomace, to enhance the nutritional and antioxidant properties of food products. This study aimed to develop a functional cottage cheese enriched with elderberry pomace powder (EPP) and evaluate its nutritional composition, antioxidant potential, sensory acceptability, and textural properties. Cottage cheese samples were formulated with EPP at concentrations of 3% and 5%, alongside a control sample devoid of EPP. The results showed that the inclusion of EPP significantly increased the levels of anthocyanins, flavonoids, and polyphenols, along with enhanced antioxidant activity, compared to …

Determinants Of Job Performance In Forestry Organizations: A Structural Equation Modeling Approach On Technical Staff In The Mediterranean Region, Mehmet Pak, Ari̇f Okumuş

Turkish Journal of Agriculture and Forestry

This study aimed to explore the individual, institutional, and job-related factors influencing the job performance of technical staff in the Regional Forestry Directorates located in the Mediterranean Region of Türkiye. Data were collected through a mixed-method approach, including mostly face-to-face interviews, complemented by partially online questionnaires. Data were obtained from 650 technical staff, including regional directors, enterprise managers, section chiefs, and forest engineers. Structural equation modeling was applied, and variables were validated using confirmatory factor analysis. Model fit indices were within acceptable limits (e.g., RMSEA = 0.069, CFI = 0.838, GFI = 0.809). The results indicate that institutional factors had …

Unraveling The Morphophysiological, Biochemical, And Yield Responses Of Maize Genotypes To Contrasting Nitrogen Conditions Using Multivariate Approaches, Muhammad Faheem Jan, Yu Lin, Waqas Liaqat, Muhammad Tanveer Altaf, Changzhuang Liu, Wang Shuai, Gönül Cömertpay, Israr Aziz, Önder Albayrak, Ming Li

Turkish Journal of Agriculture and Forestry

Genotypic variation plays a pivotal role in modulating the activity of nitrogen (N) assimilating enzymes, photosynthetic rate, N accumulation, plant growth, and yield. Despite this, the extent to which growth and N-assimilating enzymes exhibit differential responses across genotypes and their influence on yield and nitrogen use efficiency (NUE) remains inadequately explored. This study aimed to elucidate genetic variations among two inbred maize lines (Huang C and 178) and their hybrid (Huang C × 178) for key morphophysiological and biochemical traits under contrasting N conditions. Multivariate statistical methods, including principal component analysis (PCA) and structural equation modeling (SEM), were used to …

Adapting Northern Herbs For Desertification Control Around Poyang Lake, China​, Haijing Xiao, Zhenwu Bian, Junyu Xu, Shimeng Li, Mengting Xiao, Min Guo, Xianglong Bu, Muhammad Rafiq, Chunsong Cheng

Turkish Journal of Agriculture and Forestry

Desertification poses a pressing global challenge, threatening both environmental stability and socioeconomic well-being, and it requires detailed monitoring of its dynamics and drivers to inform land restoration and sustainable development strategies. Around Poyang Lake, China’s largest freshwater lake, desertification has triggered profound ecological degradation and economic losses, intensified by human activities and climate change. This study investigates these challenges by evaluating an integrated revegetation approach that combines Beach vitex (V. rotundifolia) with nitrogen-fixing licorice (Glycyrrhiza spp.) to improve soil quality, stabilize environmental conditions, and foster sustainable land management. Field experiments examined the drought tolerance and soil enhancement capabilities of five …

Salinity Response In Tunisian Durum Wheat Genotypes: Genetic Relationships, Phenotypic Variation, And Ssr Marker-Based Computational Modelling, Rim Mzid, Rayda Ben Ayed, Imène Ayachi, Elyès Babay, İnci̇ Tolay, Lamia Hamrouni, Abdullah Eren, Mohsen Hanana

Turkish Journal of Agriculture and Forestry

This study identifies salt-tolerant durum wheat genotypes for breeding programmes by integrating phenotypic, genotypic, and computational analyses of 27 Mediterranean varieties. Cluster analysis and principal coordinate analysis (PCoA) revealed two distinct genetic groups: modern genotypes (high-yielding Tunisian/Italian cultivars) and ancient genotypes (traditional Tunisian landraces). Among tested cultivars, JnehKhottifa and Grécale exhibited exceptional salinity tolerance, maintaining >80% germination at 200 mM NaCl, while Om Rabiaa and Agili showed sensitivity (<50% germination). Bayesian network modelling was used to explore the probabilistic relationships between simple sequence repeat (SSR) markers (e.g., CFD40 and GWM182, PIC = 0.561) and important traits such as root length and germination rate under stress. Genetic diversity analysis (average PIC = 0.407) highlighted the potential of SSR markers for trait-marker associations. These findings establish a valuable platform for enhancing marker-assisted selection salt- tolerant durum wheat varieties, essential for securing yields in saline-prone Mediterranean regions.

Nitrogen Management In Enhancing Raspberry (Rubus Idaeus L.) Productivity And Sustainable Development In Fruit Cultivation, Aleksandar Leposavić, Žaklina Karaklajić-Stajić, Sezai̇ Erci̇şli̇, Darko Jevremović, Ivana S. Glišić, Branko Popović, Olga Mitrović

Turkish Journal of Agriculture and Forestry

This study investigated the effect of reduced nitrogen (N) fertilizer dosage on the vegetative and generative potential, physical and chemical characteristics, and fruit yield of raspberry (Rubus idaeus L.). Two raspberry cultivars (Willamette and Meeker) were treated with low and high doses of calcium ammonium nitrate and urea over 3 consecutive years (2021–2023) in Western Serbia. Basic floricane traits and fruit quality parameters were analyzed using widely accepted methodologies. The results showed significant variations in primocane growth, floricane traits, and berry quality in response to different N fertilizer doses, whereas soluble solid content (SSC) was more stable. Lower N fertilizer …

The Impact Of Endogenous And Exogenous Fungi In Saline-Alkali Soil On The Growth And Root System Of Pine Trees, Chunfeng Shi, Zhixin Ju, Kan Gao, Wenzhong Fan, Bo Yang

Turkish Journal of Agriculture and Forestry

The objective is to explore planting methods that enhance the ability of black pine to cope with salt stress environments, improve its growth under such conditions, and observe its growth and physiological characteristics under various experimental conditions. For this purpose, endophytic mycorrhizal Indian pear-shaped fungus and ectomycorrhizal two-colored wax mushrooms were selected and inoculated onto potted black pine seedlings, and a control group was set up. After inoculation, the mycorrhizal infection rate, salt damage symptoms, growth rate, root parameters, and various physiological indicators under different salt stress durations were evaluated. Results showed that as the salt concentration was raised to …

Study On The Flow Field Characteristics Of The Air-Suction Jujube Harvester Pipeline Based On Magnetohydrodynamic Airflow Control, Jing Nie, Qi Zhang, Jiashun Jiang, Jingbin Li, Longpeng Ding, Shufeng Li, Liming Xu, Mehmet Çeçen, Savaş Tanrisever

Turkish Journal of Agriculture and Forestry

This study aimed to address the issue of suction force attenuation in the air-suction jujube (red date) harvester due to pipeline pressure loss. The active flow control method based on magnetohydrodynamics was used to optimize the pipeline flow field and reduce pressure loss. Through multiphysics field coupling theory modeling and numerical simulation, the regulatory effects of different electromagnetic field parameters on the pipeline flow field were characterized. An experimental platform was established to verify that the optimized electrode tip density, electrode voltage, and magnetic induction intensity could significantly increase the outflow gas velocity, pressure difference, and harvesting efficiency of the …

Design Of A Snp Panel For Highly Accurate Paternity Identification In Eşme Sheep, Onur Yilmaz, İbrahi̇m Cemal, Orhan Karaca, Cengi̇z Elmaci, Nezi̇h Ata

Turkish Journal of Veterinary & Animal Sciences

SNP paternity testing panels offer high-resolution capabilities for determining livestock paternity, thereby enhancing the reliability of genetic verification and ensuring pedigree record accuracy. In this study, we aimed to develop a SNP-based paternity test panel utilizing a 50K SNP chip for paternity testing and pedigree verification in the Eşme sheep breed. Additionally, the study sought to validate the paternity test panel. Based on data from 26 rams and 524 lambs of the Eşme sheep breed, the results indicated that the 50K SNP chip used demonstrated a very high genotyping rate, with the majority of its 53,738 SNPs exhibiting significant polymorphism. …