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Ahamed, N.
- Effectiveness of Planned Teaching Program on Nurses Knowledge and Practice Regarding Glasgow Coma Scale for Neurological Clients of a Selected Hospital, Kolkata
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Affiliations
1 College of Nursing, Asia Heart Foundation, Rabindranath Tagore International Institute of Cardiac Sciences, Kolkata, IN
1 College of Nursing, Asia Heart Foundation, Rabindranath Tagore International Institute of Cardiac Sciences, Kolkata, IN
Source
SMU Medical Journal, Vol 3, No 1 (2016), Pagination: 712-722Abstract
The investigators conducted an pre-experimental study on effectiveness of planned teaching program on nurses knowledge and practice regarding monitoring Glasgow Coma Scale for neurological clients in selected hospital of Kolkata, West Bengal. The objective of the study was to assess the knowledge and practice of staff nurses regarding monitoring Glasgow Coma Scale before and after planned teaching program. The final study was conducted in Rabindranath Tagore International Instiitute of Cardiac Sciences, Kolkata. Study findings depicted that the majority (42%) were belongs to the age group of 24-27 years, 72% were male nurses, 82% were GNM nurses and 65% of participants had 6-12 months of working experience. Out of 60 participants, 44 (55%) staff nurses had unsatisfactory knowledge level. The mean post test knowledge score (16.13) of the participants was higher than the mean pretest knowledge score 13.28 (0.21,p<0.20) after their exposure to planned teaching program. Majority i.e. 28 nurses scored average in pretest whether 24 nurses scored very good in posttest. The posttest mean score of practice (45.93) on monitoring Glasgow Coma Scale among staff nurses was higher than mean pretest practice score 28.88 (8.51,p<0.001). There was no significant relationship between pretest knowledge and practice of staff nurses regarding monitoring Glasgow Coma Scale ('t' 0.03, p>0.05).Keywords
Knowledge, Practice, Moniitoring Glasgow Coma Scale, Planned Teaching Program.- Assessment of Genetic Divergence in Long Day Onion (Allium cepa L.) through Principal Component and Single Linkage Cluster Analysis
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PDF Views:181
Authors
Affiliations
1 ICAR-Central Institute of Temperate Horticulture, Old Air Field Rangregth, Srinagar - 190 007, Jammu and Kashmir, IN
1 ICAR-Central Institute of Temperate Horticulture, Old Air Field Rangregth, Srinagar - 190 007, Jammu and Kashmir, IN
Source
Journal of Horticultural Sciences, Vol 15, No 1 (2020), Pagination: 17-26Abstract
To assess the nature and magnitude of genetic diversity in long day onion germplasm by using the principal component analysis and single linkage cluster analysis an experiment was carried out with 34 onion genotypes. High coefficient of variation with wide range in traits indicated an appreciable variability in germplasm. Genotypes were classified into seven principal components having Eigen value > 1, cumulatively accounted for 83.87% of total variability. Principal Component - I contributed for 24.73% of total variation for followed by principal component-II (15.27%). PC-I had high positive loading for bulb weight (0.401), marketable yield (0.338), total bulb yield (0.401) and PC-II had high positive loading for plant height (0.412), PC-III for high T.S.S. (0.276) PC -IV for A grade bulbs (0.436), PC-V for polar diameter of bulbs (0.514), PC-IV negatively loaded with purple blotch (-0.461) and PC-VII for narrow neck thickness (-0.515). Plotting PC-I aganist PC-II differenciated CITH-O-13, CITH-O-4, CITH-O-22, CITH-O-19, CITH-O-9, CITH-O-6 and CITH-O2 as most divergent genotype.On the basis of single linkage cluster means cluster-I was most importent for average bulb weight, minimum bolters, high marketble bulb percentage high marketable and total bulb yield whereas cluster -II was important for maximum nuber of leaves/plant and minimum neck thicknes. Highest inter-cluster distance was observed between cluter II and Cluster-I(873.5%).Most divergent genotypes with high inter cluter distance could be the most appropriate parents for crop impovement in onion.Keywords
Genetic Diversity, Onion, Principal Component Analysis, Single Linkage Cluster Analysis.References
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