Siirt Üniversitesi Kurumsal Akademik Arşivi

DSpace@Siirt, Siirt Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.




 

Güncel Gönderiler

Öğe
Identification of significant SNPs for yield-related salt tolerant traits in rice through genome-wide association analysis.
(Cell Mol Biol, 2025-01-12) Era, Farzana Mustafa; Raihan, Mohammad Sharif; Jahan, Nusrat; Pandey, Saurabh; Alalawy, Adel I; Al-Duais, Mohammed Ali; Alharbi, Basmah M; Alqurashi, Mohammed; Erden, Zeki; Toprak, Çağdaş Can; Islam, A K M Aminul
Rice salt tolerance is highly anticipated to meet global demand in response to decreasing farmland and soil salinization. Therefore, dissecting the genetic loci controlling salt tolerance in rice for improving productivity is of utmost importance. Here, we evaluated six salt-tolerance-related traits of a biparental mapping population comprising 280 F2 rice individuals (Oryza sativa L.) at the seedling and reproductive stages. We performed a genome-wide association study (GWAS) to identify marker-trait associations under artificially induced salt stress using the 1K RICA chip (Agriplex Genomics, Cedar Avenue, Suite 250, Cleveland, 011444106, USA). We have identified 8 single nucleotide polymorphisms (SNPs) representing eight genomic regions on chromosomes 5, 8, 9, and 10. These were significantly associated with the six salt-tolerance-related traits, no. of tillers per plant (TPP), effective tillers per plant (ETP), spikelet fertility percentage (SFP), field grain number (FGN), grain length breadth ratio (LBR) and thousand-grain weight (TGW).  FGN has two significant SNPs (SNP0758 and SNP0759) on Chromosome 9, whereas SFP on chromosomes 8 and 12 (SNP1127 and SNP0966, respectively). Similarly, for TPP (SNP0796), a significant SNP was detected on chromosome 10, and for ETP (SNP0414) on chromosome 5.  Two significant SNPs were found in chromosome 12 for LBR (SNP0920) and TGW (SNP0976). Based on all loci, we screened 3 possible candidate genes in chromosomes 8, 9, and 12 between the genomic region of SNP0920 and SNP1127 under salt stress. Interestingly, these genes were involved in protein coding, none of which was previously reported as being involved in plant salt tolerance. Further, the genetic relationship between the mapping population and population structure was classified by STRUCTURE v 2.3. Genotypes with ≥ 80% of shared ancestry were explained into two major clusters (I and II), and < 80% of shared ancestry were categorized as admixtures. An unrooted alpha was developed by TASSEL 5.0, dividing the genotypes into three major groups where 97 individuals were in Cluster 1, cluster 2 consisted of 93 individuals, and the remaining Cluster 3 included 90 individuals. A kinship matrix developed from 860 SNPs indicated group formation and more substantial relatedness among the genotypes with a red zone. Our findings provide valuable information for enhancing the understanding of complicated salt tolerance mechanisms in rice seedlings and the identified candidates potentially used for breeding salt-tolerant genotypes.
Öğe
The use of food in children's books: A review
(Peter Lang AG, 2024-12-10) Koç,Fatma
The use of food in children's books: A review
Öğe
Strong associations between the FGF-2 gene and productivity traits of Holstein-Friesian dairy cattle
(Elsevier BV, 2025-03) Mustafa Kibar; İbrahim Aytekin
Sustainability in dairy cattle farms depends on the efficiency of milk yield and reproductive traits. Thus, this study aimed to investigate the effect of the FGF-2/Csp6I gene and major environmental factors on these traits in Holstein-Friesian cattle. A total of 212 whole blood samples were collected from the Vena coccygea of cattle and the data obtained from these samples were used in all statistical analyses. Then, the restriction fragment length polymorphism (RFLP) method (determination of genotypes) was conducted and programs including PopGene (allele and genotype frequencies), Minitab (association analyses) and MTDFREML (variance components and genetic parameters) were used. Alleles A (0.4269) and G (0.5731) as well as genotypes AA (0.174), AG (0.505) and GG (0.321) were found, indicating that the population is polymorphic and in Hardy-Weinberg equilibrium (P > 0.05). The effect of the Csp6I polymorphism of FGF-2 gene on peak milk yield (PMY) (P < 0.01); lactation milk yield (LMY), milking time (MT), 305-day and 200-day lactation milk yield (LMY305 and LMY200), average daily milk yield (ADMY) (P < 0.05); 100-day lactation milk yield (LMY100), age of using in first breeding (AUFB) and number of inseminations per conception (NIPC) (P < 0.10) were significant. The heritability of milk yield traits and the correlation between direct and maternal heritability for reproductive traits were high. Furthermore, the breeding value of PMY was higher for the AA genotype (0.745 ± 0.292) than for the AG genotype (−0.268 ± 0.171) (P < 0.05). As a result, the A allele and AA genotype for the FGF-2/Csp6I gene had an increasing effect on milk yield without compromising reproductive performance in Holstein-Friesian dairy cattle.
Öğe
Modelling of the tumor growth under oncolytic virotherapy with piecewise differential operators: The effects of combinations of specialist viruses
(Qom University of Technology, 2024) Araz, Seda İğret; Denk, Elif
This study proposes to modify a mathematical model of virotherapy inducing cytokine IL-12 and co-stimulatory molecule 4-1BB ligand release with the concept of piecewise derivatives with the aim of analyzing the effects of treatment combinations on tumor growth. In addition to the equilibrium points for the tumor model, the solutions of the model have been proven to be positive. For the model under investigation, the basic reproduction number has been calculated to examine the transmission potential of oncolytic viruses. A method based on Newton polynomials is presented for the numerical solution of the model with piecewise derivative and the numerical simulations for the piecewise model have been depicted for different values of fractional orders. A significant aspect of this study involves analyzing the influence of different dosing strategies, including a single dose and varied doses at different time intervals, on virotherapy through the application of piecewise derivatives. To achieve our aim, we present numerical simulations for the tumor growth model with piecewise derivatives. Simulations show that viral oncolytic plays a crucial role in reducing tumor size but an increase in stimulation of cytotoxic T cells can lead to a short-term reduction followed by a more rapid relapse. Furthermore, thanks to the model modified with the concept of piecewise derivative to examine the effects of using different doses at different times on tumor growth, it has been possible to conclude that the virus dose given at the time when the tumor size started to increase after the first dose caused a decrease in tumor size. Finally, according to the assumptions of the considered model and the outputs of the mathematical tools used, it can be concluded that tumor growth seems to be controllable through treatment combinations in virotherapy.
Öğe
Predictors of Breastfeeding Success in Postpartum Period: Delivery Type, Postpartum Support, and Postpartum Depression
(Ataturk Universitesi, 2024-12-23) Ayşegül Kılıçlı; Sidar Gül
This study aimed to investigate the association between delivery type, postpartum support need and postpartum depression on breastfeeding success in the first postpartum month. Methods: This study, conducted between August 8, 2022 and August 31, 2023, was comparative, prospective and cross‐sectional. Sample consisted of 300 women (150 vaginal, 150 cesarean section). Data were collected using Descriptive Information Form, Postpartum Support Questionnaire, Edinburgh Postpartum Depression Scale, and Bristol Breastfeeding Assessment Tool. Multiple linear regression was used to identify the predictors of breastfeeding success. Results: Those who did not received sufficient support rate was 50.7%, the presence of postpartum depression was 54.0%, and the mean breastfeeding success score was 6.4±0.9 which was moderate. Cesarean delivery (β=‐0.149, p<.01), increased need for postpartum support (β=‐0.203, p<.01) and postpartum depression (β=0.261, p<.01) were significant predictors which were explaining 21.0% of total variance in breastfeeding success. The breastfeeding success of cesarean section mothers who did not have postpartum depression but received inadequate support decreased by 20.3% compared to vaginal birth mothers. Mothers who gave birth by caesarean section, did not receive postpartum support and were at risk of postpartum depression had the lowest breastfeeding success. Conclusion: Cesarean section, postpartum support, and postpartum depression are factors that significantly affect breastfeeding success. Therefore, breastfeeding counselling services for mothers in the postpartum care process should be planned and implemented individually to address mode of delivery, need for postpartum support and postpartum depression.