Avocado is a delicious fruit crop having great economic importance. Understanding the extent of variability present in the existing germplasm is important to identify genotypes with specific traits and their utilization in crop improvement. The information on genetic variability with respect to morphological and biochemical traits in Indian avocados is limited and as it has hindered genetic improvement of the crop. In the current study, 83 avocado accessions from different regions of India were assessed for important 17 morphological and 8 biochemical traits. The results showed the existence of wide variability for traits such as fruit weight (75.88–934.12 g), pulp weight (48.08–736.19 g), seed weight (6.37–32.62 g), FRAP activity (27.65–119.81 mg AEAC/100 g), total carotenoids (0.96–7.17 mg/100 g), oil content (4.91–25.49%) and crude fibre (6.85–20.75%) in the studied accessions. The first three components of principal component analysis explained 54.79 per cent of total variance. Traits such as fruit weight, pulp weight, seed weight, moisture and oil content contributed more significantly towards total variance compared to other traits. The dendrogram constructed based on Euclidean distance wards minimum variance method divided 83 accessions into two major groups and nine sub clusters suggesting wide variability in the accessions with respect to studied traits. In this study, superior accessions for important traits such as fruit size (PA-102, PA-012), high pulp recovery (PA-036, PA-082,), thick peel (PA-084, PA-043, PA-011, PA-008), high carotenoids (PA-026, PA-096) and high oil content (PA-044, PA-043, PA-046, PA-045) were identified which have potential utility in further crop improvement programmes.

A distinction is drawn between the method of principal components developed by Hotelling and the common factor analysis discussed in psychological literature both from the point of view of stochastic models involved and problems of statistical inference. The appropriate statistical techniques are briefly reviewed in the first case and detailed in the second. A new method of analysis called the canonical factor analysis, explaining the correlations between rather than the variances of the measurements, is developed. This analysis furnishes one out of a number of possible solutions to the maximum likelihood equations of Lawley. It admits an iterative procedure for estimating the factor loadings and also for constructing the likelihood criterion useful in testing a specified hypothesis on the number of factors and in determining a lower confidence limit to the number of factors.

Gymnema sylvestre (Retz.) R. Br. ex Schult is a highly demanded antidiabetic medicinal herb native to India. There are no improved varieties available and the plant is still collected from the wild and therefore it is important to estimate the genetic variability and heritability parameters for devising appropriate crop improvement strategy. The present study was undertaken to assess the genetic variability, heritability, character association and path analysis for growth, yield and bioactive traits in 35 accessions of G. sylvestre collected from Indian South Peninsular region. Genetic variability parameters: genotypic variance, phenotypic variance, genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), broad-sense heritability, genetic advance and genetic advance as per cent over mean of yield and quality related characters were computed to understand the extent of variability present. High levels of GCV and PCV (>20%) were observed for most of the traits. Leaf length, leaf area, leaf yield and gymnemagenin content reported with high heritability (>60%) and genetic advance over mean (>30%) suggest that variation in these traits is influenced predominantly by the genetic factors making selection more effective in improving them. The correlation and path analysis studies highlighted the importance of selecting leaf length, leaf breadth, leaf area index, fresh leaf yield and gymnemagenin content for improving dry leaf yield of G. sylvestre. The study also identified promising morphotypes (IIHR-GS-27 and IIHR-GS-9) and chemotypes (IIHR-GS-44) which can be utilized for the commercial exploitation or can serve as pre-breeding materials in the crop improvement programmes.

Polycystic Ovary Syndrome (PCOS) is a common hormonal condition affecting women of reproductive age(1). Women with PCOS experience a broad range of clinical symptoms, collectively grouped into reproductive, metabolic, psychological and anthropometric features(2). Complementary therapies, such as nutrient supplementation, have been identified as potential adjunct therapeutic approaches to support currently recommended lifestyle and pharmacological interventions(3). However, evidence for their overall efficacy and safety is inconsistent and unclear. This review aimed to systematically map the available literature on the use of nutrient supplementation for the management of PCOS features, including metabolic, reproductive, psychological and anthropometric. This review followed a systematic approach with literature searches using CINHAL, Cochrane reviews, Medline, PsycINFO, Scopus and LILACS conducted up to April 2022. All types of study designs were included if they reported on the efficacy or association between micronutrient supplementation and/or nutraceuticals on features of PCOS in women (≥ 18 years) with a confirmed diagnosis of PCOS. A total of 317 articles were included involving n = 23,926 women. Forty-three different supplements examined various clinical features of PCOS grouped into metabolic, reproductive, psychological and anthropometric. The most studied supplements included Inositols (n = 83), Vitamin D (n = 51), N-acetylcysteine (n = 25), Omega-3 fatty acids (n = 18) and Biotics (n = 14). Most studies (n = 262; 83%) reported on reproductive features followed by metabolic (n = 212; 66%), anthropometric (n = 181; 57%) and psychological (n = 5; 2%). Less than half (n = 148; 47%) of the included studies reported on the potential for adverse events. Our results highlight that the potential therapeutic benefit of micronutrient and nutraceutical supplementation on psychological features of PCOS warrants future exploration. Additional primary studies that are adequately powered are needed to investigate therapeutic doses needed for clinical benefits. Lastly, a more rigorous approach to monitoring and recording adverse event data is recommended.

As COVID-19 was declared a health emergency in March 2020, there was immense demand for information about the novel pathogen. This paper examines the clinician-reported impact of Project ECHO COVID-19 Clinical Rounds on clinician learning. Primary sources of study data were Continuing Medical Education (CME) Surveys for each session from the dates of March 24, 2020 to July 30, 2020 and impact surveys conducted in November 2020, which sought to understand participants’ overall assessment of sessions. Quantitative analyses included descriptive statistics and Mann-Whitney testing. Qualitative data were analyzed through inductive thematic analysis. Clinicians rated their knowledge after each session as significantly higher than before that session. 75.8% of clinicians reported they would ‘definitely’ or ‘probably’ use content gleaned from each attended session and clinicians reported specific clinical and operational changes made as a direct result of sessions. 94.6% of respondents reported that COVID-19 Clinical Rounds helped them provide better care to patients. 89% of respondents indicated they ‘strongly agree’ that they would join ECHO calls again.COVID-19 Clinical Rounds offers a promising model for the establishment of dynamic peer-to-peer tele-mentoring communities for low or no-notice response where scientifically tested or clinically verified practice evidence is limited.

Many data-driven patient risk stratification models have not been evaluated prospectively. We performed and compared the prospective and retrospective evaluations of 2 Clostridioides difficile infection (CDI) risk-prediction models at 2 large academic health centers, and we discuss the models’ robustness to data-set shifts.

South-east Asia is home to exceptional biodiversity, but threats to vertebrate species are disproportionately high in this region. The IUCN Species Survival Commission Asian Species Action Partnership aims to avert species extinctions. Strengthening individual and organizational capacity is key to achieving long-term, sustainable conservation impact, and is a core strategic intervention for the Partnership. To look at the needs and opportunities for developing capacity for species conservation in South-east Asia, we undertook a needs assessment with organizations implementing species conservation within this region. We conducted a review of available training opportunities, mapping them against a list of identified competences needed for species conservation to determine gaps in current training. Our assessments revealed an imbalance in the focus of training opportunities vs the actual competences needed for effective species conservation, and that training opportunities within South-east Asia are limited in number and highly competitive. These findings corroborate other similar reviews, particularly on capacity gaps in the Global South. We discuss the implications of our review and use the findings to generate recommendations.

Capacity development is critical to long-term conservation success, yet we lack a robust and rigorous understanding of how well its effects are being evaluated. A comprehensive summary of who is monitoring and evaluating capacity development interventions, what is being evaluated and how, would help in the development of evidence-based guidance to inform design and implementation decisions for future capacity development interventions and evaluations of their effectiveness. We built an evidence map by reviewing peer-reviewed and grey literature published since 2000, to identify case studies evaluating capacity development interventions in biodiversity conservation and natural resource management. We used inductive and deductive approaches to develop a coding strategy for studies that met our criteria, extracting data on the type of capacity development intervention, evaluation methods, data and analysis types, categories of outputs and outcomes assessed, and whether the study had a clear causal model and/or used a systems approach. We found that almost all studies assessed multiple outcome types: most frequent was change in knowledge, followed by behaviour, then attitude. Few studies evaluated conservation outcomes. Less than half included an explicit causal model linking interventions to expected outcomes. Half of the studies considered external factors that could influence the efficacy of the capacity development intervention, and few used an explicit systems approach. We used framework synthesis to situate our evidence map within the broader literature on capacity development evaluation. Our evidence map (including a visual heat map) highlights areas of low and high representation in investment in research on the evaluation of capacity development.

In this study, we define the cardinal temperatures and thermal time for germination and emergence of pigeonpea genotypes. Seeds of six genotypes were subjected to constant temperatures ranging between 5 and 50°C in petri dishes with filter paper (germination) and with media (emergence) were placed in a thermal gradient plate. A nonlinear bent-stick model fitted to the rate of development to germination and emergence resulted in parameters predicting cardinal temperatures including base (Tb), optimum (To), maximum (Tm), and thermal time. Estimated Tb for 50% germination and emergence were 8.4 and 10.8°C, respectively, with no significant differences between genotypes. Optimum temperatures were 33.8 and 37.9°C for germination and emergence, respectively, with genotypes differing significantly. Thermal time for 50% germination and emergence varied significantly among genotypes. The results suggest that genotypic responses to the temperature are typical for their tropical origin and hence their suitability for cropping in summer dominant rainfall regions insubtropical Australia.

In chilli, farmer preferences for fruiting habit traits, namely fruit orientation (pendant erect) and fruits node−1 (solitary cluster), vary from region to region. For increased acceptability by farmers/consumers, cultivars should be bred with preferred fruiting habit traits in high green fruit yielding background. An investigation was carried out to study the influence of fruiting habit traits on green fruit yield and its component traits during the 2016 and 2017 rainy seasons. The F2, backcross populations and near-isogenic lines (NILs) derived from crosses involving parents differing for single or both the fruiting habit traits were grouped into fruiting habit classes (single and cluster fruiting; and clustered erect, clustered pendant, single erect and single pendant). Significance of differences in fruit yield and its component traits between/among different fruiting habit trait classes were examined using ‘t’/‘F’ tests. The significance of ‘t’/‘F’ tests was regarded as pieces of evidence for considerable effects of fruiting habit traits on fruit yield and its component traits. While results-based on F2 and backcross generations indicated a lack of effects, those based on NILs indicated significant effects of fruiting habit traits on fruit yield and its component traits. The plants bearing pendant fruits (irrespective of whether they are clustered or single) produced a large number of heavier and longer fruits than those bearing erect fruits. The results are discussed about the strategies to develop high yielding cultivars with farmer preferred fruiting habit traits.

Hidden hunger is widespread in India. Individual dietary diversity score (IDDS) is a measure of the nutrient adequacy of the diet. The FAO has set guidelines for the measurement of dietary diversity: the IDDS and the minimum dietary diversity score for women (MDD-W) to assess nutritional deficiency, but validation against nutritional biomarkers is required. Using available data among rural youth (17 years) from the Pune Maternal Nutrition Study, the validity of DDS was assessed to measure deficiencies of vitamin B12, folate and Hb. Of the 355 boys and 305 girls, 19 % were classified as underweight, 57 % as vitamin B12 deficient (<150 pmol/l) and 22 % as anaemic (<120/130 g/l). Cereals, legumes and ‘other-vegetables’ were the most frequently consumed foods. More boys than girls consumed milk, flesh, eggs and micronutrient-dense foods. Median IDDS of 4 (interquartile range (IQR) 3–4) and MDD-W of 6 (IQR 5–7) were low. Youth with vitamin B12 deficiency had a higher likelihood of an IDDS ≤ 4 (1·89; 95 % CI 1·24, 2·87) or an MDD-W ≤ 5 (1·40; 95 % CI 1·02, 1·94). Youth with anaemia were more likely to have an IDDS ≤ 4 (1·76; 95 % CI 1·01, 3·14) adjusted for socio-economic scores, BMI, energy intake and sex. Folate deficiency was low (3 %) and was not associated with either score. Youth with lowest plasma vitamin B12 and Hb infrequently or never consumed dairy products/non-vegetarian foods. These rural Indian youth were underweight, had low DDS and consumed foods low in good-quality proteins and micronutrients. Associations of DDS with circulating micronutrients indicate that DDS is a valid measure to predict vitamin B12 deficiency and anaemia.