Genetic variability, heritability and character association for yield and component characters in soybean (G. max (L.) Merrill)

Genetic parameter and correlation of eight quantitative traits including grain yield were studied in thirty one soybean genotypes. Among all the traits, seed yield per plant exhibited highest estimate of PCV (47.74) and GCV (41.83) followed by dry matter weight per plant (PCV=33.99, GCV=31.15) and number of pods per plant (PCV=33.48, GCV=30.16). Heritability was highest for three characters i.e., days to 50 per cent flowering, number of primary branches per plant and 100 seed weight (91%). High heritability coupled with high genetic advance was recorded for number of pods per plant and dry matter weight per plant. Grain yield per plant exhibited highly significant and positive genetic correlation with dry matter weight per plant (rg=0.491), number of primary branches per plant (rg=0.403), number of pods per plant (0.631) and harvest index (0.487)

Sudden Cardiac Death Prediction in Arrhythmogenic Right Ventricular Cardiomyopathy: A Multinational Collaboration

BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is associated with ventricular arrhythmias (VA) and sudden cardiac death (SCD). A model was recently developed to predict incident sustained VA in patients with ARVC. However, since this outcome may overestimate the risk for SCD, we aimed to specifically predict life-threatening VA (LTVA) as a closer surrogate for SCD. METHODS: We assembled a retrospective cohort of definite ARVC cases from 15 centers in North America and Europe. Association of 8 prespecified clinical predictors with LTVA (SCD, aborted SCD, sustained, or implantable cardioverter-defibrillator treated ventricular tachycardia >250 beats per minute) in follow-up was assessed by Cox regression with backward selection. Candidate variables included age, sex, prior sustained VA (≥30s, hemodynamically unstable, or implantable cardioverter-defibrillator treated ventricular tachycardia; or aborted SCD), syncope, 24-hour premature ventricular complexes count, the number of anterior and inferior leads with T-wave inversion, left and right ventricular ejection fraction. The resulting model was internally validated using bootstrapping. RESULTS: A total of 864 patients with definite ARVC (40±16 years; 53% male) were included. Over 5.75 years (interquartile range, 2.77-10.58) of follow-up, 93 (10.8%) patients experienced LTVA including 15 with SCD/aborted SCD (1.7%). Of the 8 prespecified clinical predictors, only 4 (younger age, male sex, premature ventricular complex count, and number of leads with T-wave inversion) were associated with LTVA. Notably, prior sustained VA did not predict subsequent LTVA (P=0.850). A model including only these 4 predictors had an optimism-corrected C-index of 0.74 (95% CI, 0.69-0.80) and calibration slope of 0.95 (95% CI, 0.94-0.98) indicating minimal over-optimism. CONCLUSIO

A new prediction model for ventricular arrhythmias in arrhythmogenic right ventricular cardiomyopathy

AIMS: Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC) is characterized by ventricular arrhythmias (VAs) and sudden cardiac death (SCD). We aimed to develop a model for individualized prediction of incident VA/SCD in ARVC patients. METHODS AND RESULTS: Five hundred and twenty-eight patients with a definite diagnosis and no history of sustained VAs/SCD at baseline, aged 38.2 ± 15.5 years, 44.7% male, were enrolled from five registries in North America and Europe. Over 4.83 (interquartile range 2.44-9.33) years of follow-up, 146 (27.7%) experienced sustained VA, defined as SCD, aborted SCD, sustained ventricular tachycardia, or appropriate implantable cardioverter-defibrillator (ICD) therapy. A prediction model estimating annual VA risk was developed using Cox regression with internal validation. Eight potential predictors were pre-specified: age, sex, cardiac syncope in the prior 6 months, non-sustained ventricular tachycardia, number of premature ventricular complexes in 24 h, number of leads with T-wave inversion, and right and left ventricular ejection fractions (LVEFs). All except LVEF were retained in the final model. The model accurately distinguished patients with and without events, with an optimism-corrected C-index of 0.77 [95% confidence interval (CI) 0.73-0.81] and minimal over-optimism [calibration slope of 0.93 (95% CI 0.92-0.95)]. By decision curve analysis, the clinical benefit of the model was superior to a current consensus-based ICD placement algorithm with a 20.6% reduction of ICD placements with the same proportion of protected patients (P < 0.001). CONCLUSION: Using the largest cohort of patients with ARVC and no prior VA, a prediction model using readily available clinical parameters was devised to estimate VA risk and guide decisions regarding primary prevention ICDs (www.arvcrisk.com)

Drying colloidal systems: laboratory models for a wide range of applications

The drying of complex fluids provides a powerful insight into phenomena that take place on time and length scales not normally accessible. An important feature of complex fluids, colloidal dispersions and polymer solutions is their high sensitivity to weak external actions. Thus, the drying of complex fluids involves a large number of physical and chemical processes. The scope of this review is the capacity to tune such systems to reproduce and explore specific properties in a physics laboratory. A wide variety of systems are presented, ranging from functional coatings, food science, cosmetology, medical diagnostics and forensics to geophysics and art

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Not AvailableRice is a major food crop in Uttarakhand hills which has great significance in food security of the region as well as plays integral role in almost all traditional rituals. The custom of “Hudukiya Boll” practiced during rice transplanting in hills also presents a unique example of communal harmony. In comparison to plains, hill region of Uttarakhand could not reap the benefits of green revolution and rice cultivation is still dominated by tall and lodging prone traditional cultivars like “Thapacheeni, China4, Lal Dhan, Candolia, Thapuli, Chauria, Kusi Pai, Shiaun, Danshau, Jyoli, Rajma Dhan, Nan Dhan, Godi Dhan, Sau Dhan” etc. During past decade the production and productivity trend of rice are sluggish and the level not seems sufficient to realize future requirement for ensuring the food security of rural masses. In recent times a number of high yielding rice varieties suitable for rainfed and irrigated ecology of hills are developed which are fairly tolerant for prevalent biotic and abiotic stresses. Wider adoption of these improved cultivars by farming communities can boost rice production and surely mitigate the problem of food and nutritional security in the region.ICA

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Not AvailableCombating malnutrition under changing climate is the biggest hurdle in ensuring nutritional security for the burgeoning population. Rigorous efforts are being made globally in recent past to design major food crops for superior nutritional quality but the potential of existing traditional food crops has been seriously overlooked despite of their ability to produce nutritious grains even under harsh climatic conditions besides their nutraceutical properties against modern lifestyle generated ailments. These ignored locally grown nutri-crops can serve as an alternative way to address the food, nutrition uncertainty with additional health benefits but social disdain, changing lifestyle and lack of synergistic research and development policies rendered the existence of these crops localised mainly in traditional subsistence farming systems. Potential of these underutilised nutri-crops is now being recognised and need for their revival and/or infusion in existing cropping systems is also being felt globally for food and nutritional security of the future. Keeping the need of nutritious, climate resilient and low input demanding crops for future in view, multifaceted efforts have been made by ICAR-VPKAS, Almora for mainstreaming nutri-crops of Uttarakhand hills to benefit both farmers and consumers of the region and country.Not Availabl

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Not AvailableSince this is in hindi article its abstract is not given here, however, full article has been uploaded for your kind perusal.ICA