Yield and Quality Traits of Black Cumin (Nigella sativa L.) Genotypes in Response to the Different Sowing Dates

Black cumin has been used in many countries for the treatment of diseases such as cancer and diabetes, and for thousands of years as a spice, flavoring in products such as bread, and as a food preservative in pickles. Too much delay in the sowing of black cumin has a negative effect on plant growth. In order to determine the most suitable sowing dates for different black cumin genotypes, an experiment was conducted in the open-field conditions of the Eastern Mediterranean region of Türkiye at Çukurova University, for two years, in 2020 and 2021, in three different sowing dates (October 15th, November 01st, and November 15th) with three different black cumin genotypes (Çameli cultivar (G1), Adana population (G2) and Iraq population (G3)). The findings of this research demonstrated significant differences in the agronomic characteristics and overall quality of black cumin. The main components were p-cymene (51.45%-66.33%), trans-4-Methoxythujane (8.40%-11.90%), thymoquinone (0.11%-19.26%), γ-Terpinene (1.28%-9.09%), and limonene (2.93%-4.50%). The main fatty acids were determined as linoleic acid (53.97%-57.56%), oleic acid (20.98-26.40), and palmitic acid (13.73%-15.02%). Consequently, the low number of flowers and the high temperatures observed in May, along with the early spring frosts, negatively affected the fertilization of the flowers. The seed yield was adversely affected because some of the seeds could not mature

Rotor Speed and Load Torque Estimations of Induction Motors via LSTM Network

In this study, a long short-term memory (LSTM) based estimator using rotating axis components of the stator voltages and currents as inputs is designed to perform estimations of rotor mechanical speed and load torque values of the induction motor (IM) for electrical vehicle (EV) applications. For this aim, first of all, an indirect vector controlled IM drive is implemented in simulation to collect both training and test datasets. After the initial training, a fine-tuning process is applied to increase the robustness of the proposed LSTM network. Furthermore, the LSTM parameters, layer size, and hidden size are also optimised to increase the estimation performance. The proposed LSTM network is tested under two different challenging scenarios including the operation of the IM with linear and step-like load torque changes in a single direction and in both directions. To force the proposed LSTM network, it is also tested under the variation of stator and rotor resistances for the both-direction scenario. The obtained results confirm the highly satisfactory estimation performance of the proposed LSTM network and its applicability for the EV applications of the IMs

Investigation of circulating miRNA-133, miRNA-26, and miRNA-378 as candidate biomarkers for left ventricular hypertrophy

Background/aim: Left ventricular hypertrophy (LVH) involves increased muscular mass of the left ventricle due to increased cardiomyocyte size and is caused by cardiomyopathies. Several microRNAs (miRNAs) have been implicated in processes that contribute to heart disease. This study aimed to examine miRNA-133, miRNA-26 and miRNA-378 as candidate biomarkers to define prognosis in patients with LVH. Patients and methods: The study group consisted of 70 patients who were diagnosed with LVH and 16 unaffected individuals who served as the control group. Real-time polymerase chain reaction (RT-PCR) was used to analyze serum miRNA-133, miRNA-26, and miRNA-378 expression levels in LVH patients and the control group. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic capability of miRNA-378. Results: When crossing threshold (CT) values were compared between patient and control samples, we found that there were no statistically significant differences in miRNA-133 and miRNA-26 CT values, while the miRNA-378 expression was significantly increased in LVH patients. ROC analysis demonstrated that the expression levels of miRNA-378 (AUC=0.484, p=0.0013) were significantly different between groups. Conclusion: We observed a statistically significant relationship between miRNA-378 expression levels and LVH, suggesting that circulating miRNA-378 may be used as a novel biomarker to distinguish patients who have LVH from those who do not.No sponso

Investigation of Circulating miRNA-133, miRNA-26, and miRNA-378 as Candidate Biomarkers for Left Ventricular Hypertrophy

Background/Aim: Left ventricular hypertrophy (LVH) involves increased muscular mass of the left ventricle due to increased cardiomyocyte size and is caused by cardiomyopathies. Several microRNAs (miRNAs) have been implicated in processes that contribute to heart disease. This study aimed to examine miRNA-133, miRNA-26 and miRNA-378 as candidate biomarkers to define prognosis in patients with LVH. Patients and Methods: The study group consisted of 70 patients who were diagnosed with LVH and 16 unaffected individuals who served as the control group. Real-time polymerase chain reaction (RT-PCR) was used to analyze serum miRNA-133, miRNA-26, and miRNA-378 expression levels in LVH patients and the control group. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic capability of miRNA-378. Results: When crossing threshold (CT) values were compared between patient and control samples, we found that there were no statistically significant differences in miRNA-133 and miRNA-26 CT values, while the miRNA-378 expression was significantly increased in LVH patients. ROC analysis demonstrated that the expression levels of miRNA-378 (AUC=0.484, p=0.0013) were significantly different between groups. Conclusion: We observed a statistically significant relationship between miRNA-378 expression levels and LVH, suggesting that circulating miRNA-378 may be used as a novel biomarker to distinguish patients who have LVH from those who do not

Genetic Diversity, Population Structure and Marker-Trait Association for 100-Seed Weight in International Safflower Panel Using SilicoDArT Marker Information

Safflower is an important oilseed crop mainly grown in the arid and semi-arid regions of the world. The aim of this study was to explore phenotypic and genetic diversity, population structure, and marker-trait association for 100-seed weight in 94 safflower accessions originating from 26 countries using silicoDArT markers. Analysis of variance revealed statistically significant genotypic effects (p < 0.01), while Turkey samples resulted in higher 100-seed weight compared to Pakistan samples. A Constellation plot divided the studied germplasm into two populations on the basis of their 100-seed weight. Various mean genetic diversity parameters including observed number of alleles (1.99), effective number of alleles (1.54), Shannon’s information index (0.48), expected heterozygosity (0.32), and unbiased expected heterozygosity (0.32) for the entire population exhibited sufficient genetic diversity using 12232 silicoDArT markers. Analysis of molecular variance (AMOVA) revealed that most of the variations (91%) in world safflower panel are due to differences within country groups. A model-based structure grouped the 94 safflower accessions into populations A, B, C and an admixture population upon membership coefficient. Neighbor joining analysis grouped the safflower accessions into two populations (A and B). Principal coordinate analysis (PCoA) also clustered the safflower accessions on the basis of geographical origin. Three accessions; Egypt-5, Egypt-2, and India-2 revealed the highest genetic distance and hence might be recommended as candidate parental lines for safflower breeding programs. The mixed linear model i.e., the Q + K model, demonstrated that two DArTseq markers (DArT-45483051 and DArT-15672391) had significant association (p < 0.01) for 100-seed weight. We envisage that identified DArTseq markers associated with 100-seed weight will be helpful to develop high-yielding cultivars of safflower through marker-assisted breeding in the near future

Proceedings Of The 23Rd Paediatric Rheumatology European Society Congress: Part Two

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