Background and Aim:Doubtlessly, permanent development in patient care services is not feasible without paying attention to the culture of safety by health and treatment institutes. The present study is an attempt to analyze the cultural aspects of patient safety in the emergency wards of hospitals affiliated with the Tehran Medical Science University. The viewpoint of the nurses and hospital officials and their priorities were studied. For prioritizing the results of this study the TOPSIS technique was chosen.Methods:The study was conducted as an analytical-descriptive and cross-sectional one. It was carried out in two parts: at first the cultural aspects of the patients were measured using a questionnaire for a six months period in 2011 in emergency wards of the hospitals under study. The study population was constituted of physicians and nurses of the emergency wards. The sample group (n=270) was selected through a cluster sampling and its size was determined by using the sample size formula. For data gathering, the standard questionnaire of Hospital Survey on Patient Safety Culture (HSOPSC) was used. The data were analyzed in SPSS. The aspects of the safety culture were prioritized using the TOPSIS model. The criteria were ranked by using the MATLAB software.Results:There was a significant relationship among the aspects of performance, teamwork, feedback, mistake relationships, and the support of the managers (P ≤ 0.05). The total point of the patient safety culture in the majority of the hospitals were at a mean level of 3. The maximum score was 5. The maximum and minimum mean points were obtained by the Hasheminejad and Sina hospitals respectively. The results of the multivariate decision-making analysis indicated that human, managerial, organizational, and environmental factors were at the top of priorities in a descending order. The factors were extremely effective in the improvement of safety in hospitals.Conclusion:Human factors were the most effective and important factors in the improvement of safety in emergency wards. Therefore, there is a need to pay more attention to such factors in safety improvement programming. Training, cultural works, preparation of organizational environments, and motivating environmental factors were of the main measures that must be taken into account by the managers.
Rhizoctonia solani, causing Rhizoctonia crown and root rot, is a major risk to sugar beet (Beta vulgaris L.) cultivation. The development of resistant varieties accelerated by marker-assisted selection is a priority of breeding programs. We report the identification of a single-nucleotide polymorphism (SNP) marker linked to Rhizoctonia resistance using restriction site-associated DNA (RAD) sequencing of two geographically discrete sets of plant materials with different degrees of resistance/susceptibility to enable a wider selection of superior genotypes. The variant calling pipeline utilized SAMtools for variant calling and the resulting raw SNPs from RAD sequencing (15,988 and 22,439 SNPs) were able to explain 13.40% and 25.45% of the phenotypic variation in the two sets of material from different sources of origin, respectively. An association analysis was carried out independently on both the datasets and mutually occurring significant SNPs were filtered depending on their contribution to the phenotype using principal component analysis (PCA) biplots. To provide a ready-to-use marker for the breeding community, a systematic molecular validation of significant SNPs distributed across the genome was undertaken to combine high-resolution melting, Sanger sequencing, and rhAmp SNP genotyping. We report that RsBv1 located on Chromosome 6 (9000093 bp) is significantly associated with Rhizoctonia resistance (p < 0.01) and able to explain 10% of the phenotypic disease variance. The related SNP assay is thus ready for marker-assisted selection in sugar beet breeding for Rhizoctonia resistance.
Resistance gene analogs (RGAs) were searched bioinformatically in the sugar beet (Beta vulgaris L.) genome as potential candidates for improving resistance against different diseases. In the present study, Ion Torrent sequencing technology was used to identify mutations in 21 RGAs. The DNA samples of ninety-six individuals from six sea beets (Beta vulgaris L. subsp. maritima) and six sugar beet pollinators (eight individuals each) were used for the discovery of single-nucleotide polymorphisms (SNPs). Target amplicons of about 200 bp in length were designed with the Ion AmpliSeq Designer system in order to cover the DNA sequences of the RGAs. The number of SNPs ranged from 0 in four individuals to 278 in the pollinator R740 (which is resistant to rhizomania infection). Among different groups of beets, cytoplasmic male sterile lines had the highest number of SNPs (132) whereas the lowest number of SNPs belonged to O-types (95). The principal coordinates analysis (PCoA) showed that the polymorphisms inside the gene Bv8_184910_pkon (including the CCCTCC sequence) can effectively differentiate wild from cultivated beets, pointing at a possible mutation associated to rhizomania resistance that originated directly from cultivated beets. This is unlike other resistance sources that are introgressed from wild beets. This gene belongs to the receptor-like kinase (RLK) class of RGAs, and is associated to a hypothetical protein. In conclusion, this first report of using Ion Torrent sequencing technology in beet germplasm suggests that the identified sequence CCCTCC can be used in marker-assisted programs to differentiate wild from domestic beets and to identify other unknown disease resistance genes in beet.
Sugar beet contributes to one-third of the world's sugar supply (Draycott, 2006). Sugar beet has been cultivated on over 10,000 hectares of Iranian arable land in 2016 with an average root yield (RY) of 54 t/ha (FAOSTAT, 2018). The aim of sugar beet breeding is to select stable varieties producing the highest amount of extractable sugar per unit area. Although the environment affects the expression of sugar yield and related quality traits, selection for stable varieties is still possible. This is achieved through recurrent selection methods for better combining ability
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