701 research outputs found

    Bacterial ‘Cell’ Phones: Do cell phones carry potential pathogens?

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    Cell phones are important companions for professionals especially health care workers (HCWs) for better communication in hospital. The present study compared the nature of the growth of potentially pathogenic bacterial flora on cell phones in hospital and community. 75% cell phones from both the categories grew at least one potentially pathogenic organism. Cell phones from HCWs grew significantly more potential pathogens like MRSA (20%), Acinetobacter species (5%), Pseudomonas species (2.5%) as compared to the non HCWs. 97.5% HCWs use their cell phone in the hospital, 57.5% never cleaned their cell phone and 20% admitted that they did not wash their hands before or after attending patients, although majority (77.5%) knows that cell phones can have harmful colonization and act as vector for nosocomial infections. It is recommended, therefore, that cell phones in the hospital should be regularly decontaminated. Moreover, utmost emphasis needs to be paid to hand washing practices among HCWs

    Genetic divergence in Chrysanthemum (Dendranthema x grandiflora Tzvelev) based on morphological traits

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    Genetic diversity of thirty-one genotypes of Chrysanthemum were analysed for various growth and flowering related traits. Analysis of variance revealed significant differences among the genotypes for all the morphological traits studied. The clustering pattern based on Mahalanobis D2 statistics categorised genotypes into six distinct clusters. The largest cluster i.e. cluster III composed of eleven genotypes followed by cluster II with nine genotypes, cluster I having eight genotypes and cluster IV, V, and VI with one genotype each. The maximum inter-cluster distance was recorded between clusters IV and cluster V (376.87) followed by clusters IV and cluster VI (344.96) and, cluster II and cluster IV (196.81). The maximum intra-cluster distance was observed for cluster III (56.57), followed by cluster II (46.87) and cluster I (29.52). Among all the clusters, genotypes in cluster II recorded highest cluster mean values for number of branches per plant (7.15), number of leaves (119.72) and flowers (91.69) per plant. Among nine characters, number of flowers per plant contributed maximum to divergence (32.26%). Therefore, for chrysanthemum improvement, highly diverse genotypes can be used as parents for crossing to generate high variability

    Peas Please: Making a pledge for more veg

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    Research suggests that eating vegetables benefits both human health and the environment. However, in the UK, very few people are eating enough vegetables. This is contributing to the global burden of diet‐related disease and associated costs, as well as undermining the possibility of a sustainable UK food system. The Peas Please initiative was launched in 2017 to encourage organisations and businesses across the food system to pledge their commitment to helping the British public increase their vegetable consumption. Since the implementation of the Peas Please initiative 95 organisations have pledged to support Peas Please and, at the time of writing, an additional 89.9 million portions of vegetables have been grown, served and sold by pledgers. This article describes the Peas Please initiative and its rationale, highlights some of the key outcomes of the programme, and outlines next steps for increasing commitment to the programme

    Assessment of genetic variability, character association and path coefficient analysis in Chrysanthemum (Dendranthema x grandiflora Tzvelev)

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    Thirty-one genotypes of chrysanthemum (Dendranthema x grandiflora Tzvelev) were evaluated for nine growth and flowering related traits to assess the genetic variability, correlation and path coefficient analysis. Significant differences among genotypes for all the growth and flowering related traits were observed through analysis of variance. The range of variation was high for number of leaves plant-1 (66.17-164.50) followed by number of flowers plant-1 (30.67-116.83). The magnitude of phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the characters studied. High (>20%) PCV and GCV was recorded for plant height, number of branches plant-1, number of leaves plant-1, days to bud initiation, days to first flower opening and number of flowers plant-1. Heritability estimates ranged from 77.72% (days to optimum flowering) to 96.93% (number of flowers plant-1). High heritability coupled with high genetic advance as per cent of mean was recorded for all the traits studied. Number of flowers plant-1 exhibited positive and highly significant correlation with number of branches and leaves plant-1. Path coefficient analysis using correlation coefficients revealed that days to first flower opening (1.564) exhibited positive and very high direct effect, while,number of leaves plant-1 (0.347) and flower diameter (0.337) showed positive and high direct effect. Hence, genotypes with superior traits may be considered for further improvement
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