49 research outputs found

    Combining ability analysis in near homozygous lines of okra [Abelmoschus esculentus (L.) Moench] for yield and yield attributing parameters

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    Line × tester analysis was carried out with the objective of identifying the good combiners and to decide the breeding strategies for developing potential and productive genotypes or cultivars. Parents and hybrids differed significantly for GCA and SCA effects for all the characters respectively. Specific combining ability (SCA) variance was higher than the general combining ability (GCA) variance which shows the predominance of non-additive gene action for the improvement of all the characters studied. The parents and crosses having highest and significant GCA and SCA effects viz., KO-18 (13.69), KO-6 (9.54) and KO-2 × Parbhani Kranti (19.28) for plant height; KO-12 (0.34), KO-14 (0.19) and KO-5 × V5 (0.60) for number of branches per plant; KO-14 (-0.66) and KO-15 × Arka Anamika(-1.66) for days to first flowering; KO-1(1.10), Arka Anamika (0.46) and KO-9 × VRO-5 (3.28) for fruit length; KO-7 (7.91), VRO-5(1.68) and KO-18 × VRO-6 (8.64) for average fruit weight; KO-2 (1.18) and KO-17 × Arka Anamika (2.80) for number of fruits per plant; KO-9(0.05), VRO-6 (0.01) and KO-11 × VRO-6 (0.10) for total yield per plant were identified as good general and specific combiners. The results establish the worth of heterosis breeding for effective usage of non-additive genetic variance in okra

    Evaluation of French bean (Phaseolus vulgaris L.) genotypes for seed production

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    An experimental study was conducted during 2011/2012 and 2012/2013 at Horticulture Research Station, Mondouri, Bidhan Chandra Krishi Viswavidyalaya, Monhanpur, Nadia, West Bengal, India, to evaluate the performance of fourteen different bush type French bean genotypes for seed yield and to study varietal characterization based on plant morphology. The genotypes, studied under this experiment were namely, Abhay, Shillong Local-3, Arjun, Selection-9, Arka Anoop, Arka Komal, Badshah, Anupam, Arka Suvidha, Falguni, Sonali, Local, Victoria and Vaishnavi-264. From overall point of view of the outcome of the experiment, it has been revealed that genotype with relatively bolder seeds with more number of seeds per pod, and higher bearing capacity per plant generally gives higher seed yield. Among the genotypes under study, Arka Suvidha was the best one as it produced the highest seed yield (2180.92 kg/ha) and relatively good plant vigour and fairly high seed vigour index (2944.38). Falguni and Mohanpur Local also can be considered promising once for seed production point of view

    Effect of storage methods and seed rhizome treatment on the field performance of ginger

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    An experiment was conducted to evaluate the effect of different storage methods and seed rhizome treatment on the field performance of ginger var. Humnabad. Four storage methods were selected for the study viz., rhizomes kept in sand layers (indoor), 250 gauge polyethylene bag with 0.5% vents (indoor), Zero energy cool chamber (ZECC) either in open condition or in polyethylene bag with 0.5% vents. The seed rhizomes were treated with fungicide viz., Ridomil MZ (3 g L-1), bio-control agent Trichoderma harzianum (5 g kg-1 seed rhizome) and no seed treatment as the control. Highest germination (98.89%), plant height (52.3 cm), leaf area index (25.75), number of tillers clump-1 (19.7), pseudostem girth (3.41 cm) and fresh rhizome yield (22.35 t ha-1) were recorded in rhizome stored in ZECC treated with T. harzianum whereas, the rhizome stored in sand layer with no seed treatment recorded the lowest levels of germination (75.56%), plant height (33.6 cm), leaf area index (9.73), number of tillers clump-1 (12.6), pseudostem girth (2.32 cm) and fresh rhizome yield (11.84 t ha-1). &nbsp

    Stabilities of nanohydrated thymine radical cations: insights from multiphoton ionization experiments and ab initio calculations

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    Multi-photon ionization experiments have been carried out on thymine-water clusters in the gas phase. Metastable H2O loss from T+(H2O)n was observed at n ≥ 3 only. Ab initio quantum-chemical calculations of a large range of optimized T+(H2O)n conformers have been performed up to n = 4, enabling binding energies of water to be derived. These decrease smoothly with n, consistent with the general trend of increasing metastable H2O loss in the experimental data. The lowest-energy conformers of T+(H2O)3 and T+(H2O)4 feature intermolecular bonding via charge-dipole interactions, in contrast with the purely hydrogen-bonded neutrals. We found no evidence for a closed hydration shell at n = 4, also contrasting with studies of neutral clusters

    Serum Uric Acid and Adiposity: Deciphering Causality Using a Bidirectional Mendelian Randomization Approach

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    Background: Although the relationship between serum uric acid (SUA) and adiposity is well established, the direction of the causality is still unclear in the presence of conflicting evidences. We used a bidirectional Mendelian randomization approach to explore the nature and direction of causality between SUA and adiposity in a population-based study of Caucasians aged 35 to 75 years. Methods and Findings: We used, as instrumental variables, rs6855911 within the SUA gene SLC2A9 in one direction, and combinations of SNPs within the adiposity genes FTO, MC4R and TMEM18 in the other direction. Adiposity markers included weight, body mass index, waist circumference and fat mass. We applied a two-stage least squares regression: a regression of SUA/adiposity markers on our instruments in the first stage and a regression of the response of interest on the fitted values from the first stage regression in the second stage. SUA explained by the SLC2A9 instrument was not associated to fat mass (regression coefficient [95 % confidence interval]: 0.05 [20.10, 0.19] for fat mass) contrasting with the ordinary least square estimate (0.37 [0.34, 0.40]). By contrast, fat mass explained by genetic variants of the FTO, MC4R and TMEM18 genes was positively and significantly associated to SUA (0.31 [0.01, 0.62]), similar to the ordinary least square estimate (0.27 [0.25, 0.29]). Results were similar for the other adiposity markers. Conclusions: Using a bidirectional Mendelian randomization approach in adult Caucasians, our findings suggest tha

    Socio-Demographic Patterning of Physical Activity across Migrant Groups in India: Results from the Indian Migration Study

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    OBJECTIVE: To investigate the relationship between rural to urban migration and physical activity (PA) in India. METHODS: 6,447 (42% women) participants comprising 2077 rural, 2,094 migrants and 2,276 urban were recruited. Total activity (MET hr/day), activity intensity (min/day), PA Level (PAL) television viewing and sleeping (min/day) were estimated and associations with migrant status examined, adjusting for the sib-pair design, age, site, occupation, education, and socio-economic position (SEP). RESULTS: Total activity was highest in rural men whereas migrant and urban men had broadly similar activity levels (p<0.001). Women showed similar patterns, but slightly lower levels of total activity. Sedentary behaviour and television viewing were lower in rural residents and similar in migrant and urban groups. Sleep duration was highest in the rural group and lowest in urban non-migrants. Migrant men had considerably lower odds of being in the highest quartile of total activity than rural men, a finding that persisted after adjustment for age, SEP and education (OR 0.53, 95% CI 0.37, 0.74). For women, odds ratios attenuated and associations were removed after adjusting for age, SEP and education. CONCLUSION: Our findings suggest that migrants have already acquired PA levels that closely resemble long-term urban residents. Effective public health interventions to increase PA are needed

    The effect on cardiovascular risk factors of migration from rural to urban areas in Peru: PERU MIGRANT Study

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    BACKGROUND: Mass-migration observed in Peru from the 1970s occurred because of the need to escape from politically motivated violence and work related reasons. The majority of the migrant population, mostly Andean peasants from the mountainous areas, tends to settle in clusters in certain parts of the capital and their rural environment could not be more different than the urban one. Because the key driver for migration was not the usual economic and work-related reasons, the selection effects whereby migrants differ from non-migrants are likely to be less prominent in Peru. Thus the Peruvian context offers a unique opportunity to test the effects of migration. METHODS/DESIGN: The PERU MIGRANT (PEru's Rural to Urban MIGRANTs) study was designed to investigate the magnitude of differences between rural-to-urban migrant and non-migrant groups in specific CVD risk factors. For this, three groups were selected: Rural, people who have always have lived in a rural environment; Rural-urban, people who migrated from rural to urban areas; and, Urban, people who have always lived in a urban environment. DISCUSSION: Overall response rate at enrolment was 73.2% and overall response rate at completion of the study was 61.6%. A rejection form was obtained in 282/323 people who refused to take part in the study (87.3%). Refusals did not differ by sex in rural and migrant groups, but 70% of refusals in the urban group were males. In terms of age, most refusals were observed in the oldest age-group (>60 years old) in all study groups. The final total sample size achieved was 98.9% of the target sample size (989/1000). Of these, 52.8% (522/989) were females. Final size of the rural, migrant and urban study groups were 201, 589 and 199 urban people, respectively. Migrant's average age at first migration and years lived in an urban environment were 14.4 years (IQR 10-17) and 32 years (IQR 25-39), respectively. This paper describes the PERU MIGRANT study design together with a critical analysis of the potential for bias and confounding in migrant studies, and strategies for reducing these problems. A discussion of the potential advantages provided by the case of migration in Peru to the field of migration and health is also presented

    Validation of dual energy X-ray absorptiometry measures of abdominal fat by comparison with magnetic resonance imaging in an Indian population.

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    OBJECTIVE: Abdominal adiposity is an important risk factor for diabetes and cardiovascular disease in Indians. Dual energy X-ray absorptiometry (DXA) can be used to determine abdominal fat depots, being more accessible and less costly than gold standard measures such as magnetic resonance imaging (MRI). DXA has not been fully validated for use in South Asians. Here, we determined the accuracy of DXA for measurement of abdominal fat in an Indian population by comparison with MRI. DESIGN: 146 males and females (age range 18-74, BMI range 15-46 kg/m(2)) from Hyderabad, India underwent whole body DXA scans on a Hologic Discovery A scanner, from which fat mass in two abdominal regions was calculated, from the L1 to L4 vertebrae (L1L4) and from the L2 to L4 vertebrae (L2L4). Abdominal MRI scans (axial T1-weighted spin echo images) were taken, from which adipose tissue volumes were calculated for the same regions. RESULTS: Intra-class correlation coefficients between DXA and MRI measures of abdominal fat were high (0.98 for both regions). Although at the level of the individual, differences between DXA and MRI could be large (95% of DXA measures were between 0.8 and 1.4 times MRI measures), at the sample level, DXA only slightly overestimated MRI measures of abdominal fat mass (mean difference in L1L4 region: 2% (95% CI:0%, 5%), mean difference in L2L4 region:4% (95% CI: 1%, 7%)). There was evidence of a proportional bias in the association between DXA and MRI (correlation between difference and mean -0.3), with overestimation by DXA greater in individuals with less abdominal fat (mean bias in leaner half of sample was 6% for L1L4 (95%CI: 2, 11%) and 7% for L2L4 (95% CI:3,12%). CONCLUSIONS: DXA measures of abdominal fat are suitable for use in Indian populations and provide a good indication of abdominal adiposity at the population level
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