Evaluating testcross performance and genetic divergence of lines derived from reciprocal tropical maize composites

The development of hybrids with enhanced expression of heterosis depends on the genetic background of the source population and the effectiveness of a breeding scheme used to identify and use divergent inbred lines with good combining ability. The present study was conducted to examine the potential of improved tropical reciprocal composites as sources of inbred lines for developing productive hybrids. Thirty-six S4 lines derived from the third RRS cycle of each composite were crossed in pairs to form 36 testcrosses, which were evaluated along with commonly grown commercial hybrids in Nigeria across nine test environments. Results showed consistent ranking of testcrosses for grain yield and other traits across the diverse test environments. The best 22 testcrosses produced 21% to 51% more grain yields than the highest yielding commercial hybrid. Several testcrosses combined high grain yields with other desirable agronomic traits. The SSR and SNP markers used in the present study detected a broad range of genetic diversity among the 72 S4 lines, which was structured along the two composites. The two markers portrayed similar trends in determining genetic distance estimates and detecting composite-specific alleles in the S4 lines. These results highlight the potential of improved reciprocal composites as sources of new and divergent parents for developing productive hybrids and as sources of novel alleles for broadening and diversifying the genetic base of adapted germplasm to sustain genetic gain in productivity of hybrids in WCA

Detection of Trojan horse by Analysis of System Behavior and Data Packets

Trojan horse is said to be one of the most serious threats to computer security. A Trojan horse is an executable file in the Windows operating system. These executable files will have certain static and runtime characteristics. Multiple Windows system process will be called whenever a Trojan horse tries to execute any operation on the system. In this paper a new Trojan horse detection method by using Windows dynamic link libraries to identify system calls from a Trojan horses is explicated. Process explorer is used to identify the malicious executable and to determine whether it is a Trojan or not. Further, an attempt is made to study the network behavior after a Trojan horse is executed using wire shark

Identification of rare nonsynonymous variants in SYNE1/CPG2 in bipolar affective disorder

Background: Bipolar affective disorder (BPD) is a severe mood disorder with a prevalence of ∼ 1.5% in the population. The pathogenesis of BPD is poorly understood; however, a strong heritable component has been identified. Previous genome-wide association studies have indicated a region on 6q25, coding for the SYNE1 gene, which increases disease susceptibility. SYNE1 encodes the synaptic nuclear envelope protein-1, nesprin-1. A brain-specific splice variant of SYNE1, CPG2 encoding candidate plasticity gene 2, has been identified. The intronic single-nucleotide polymorphism with the strongest genome-wide significant association in BPD, rs9371601, is present in both SYNE1 and CPG2. / Methods: We screened 937 BPD samples for genetic variation in SYNE1 exons 14–33, which covers the CPG2 region, using high-resolution melt analysis. In addition, we screened two regions of increased transcriptional activity, one of them proposed to be the CPG2 promoter region. / Results and Conclusion: We identified six nonsynonymous and six synonymous variants. We genotyped three rare nonsynonymous variants, rs374866393, rs148346599 and rs200629713, in a total of 1099 BPD samples and 1056 controls. Burden analysis of these rare variants did not show a significant association with BPD. However, nine patients are compound heterozygotes for variants in SYNE1/CPG2, suggesting that rare coding variants may contribute significantly towards the complex genetic architecture underlying BPD. Imputation analysis in our own wholegenome sequencing sample of 99 BPD individuals identified an additional eight risk variants in the CPG2 region of SYNE1

Soil weight determination for optimal growth and yield performances of pot-grown maize

Root restriction, reduced growth and poor yield due to an insufficient quantity of soil are the major limitations of pot-grown maize (Zea mays L.). Hence, to determine the actual quantity of soil required for optimal growth and yield performances of pot-grown maize, two maize varieties; BR9943 DMR-SR (yellow) and BR9928 DMR-SR (white), were evaluated in pots of 5, 10, 20, 30 and 40 kg of topsoil in a 2 x 4 factorial (r = 4) using complete randomised design at the Institute of Agricultural Research and Training, Ibadan, Nigeria. Data were collected on plant height (PHT), leaf area (LA), cob length (CBT), number of kernels per row (K/R), number of rows per cob (R/C), number of kernels per cob (K/C) and total grain weight (TGW). The results obtained showed that all the evaluated parameters were significantly different at P < 0.05 across the soil weights. Maize planted in 30 kg of soil had the highest LA (774.25 cm2), R/C (15.25), K/C (405.62) and TGW (73.84 g), compared with maize planted in 5 kg and 10 kg soils. Plant height and CBT were highest when 40 kg of soil was used. The maize varieties BR9928 DMR-SR (yellow) and BR9943 DMR-SR (white) were not significantly different across the growth and yield parameters except for LA, where the yellow maize (651.91 cm2) had a substantially higher LA than the white maize variety (588.19 cm2). Based on the results of this study, 30 kg of topsoil is recommended for optimum growth and yield performances of pot grown maize

Women’s empowerment and female genital mutilation intention for daughters in Sierra Leone: a multilevel analysis

Background Female genital mutilation is common in Sierra Leone. Evidence indicates that empowering women provides protective benefits against female genital mutilation/cutting (FGM/C). Yet, the relationship between women’s empowerment and their intention to cut their daughters has not been explored in Sierra Leone. The aim of this study was to assess the association between women’s empowerment and their intention to have their daughters undergo FGM/C in the country. Methods Data for this study are from the 2013 Sierra Leone Demographic and Health Survey. A total of 7,706 women between the ages of 15 and 49 were included in the analysis. Analysis entailed generation of descriptive statistics (frequencies and percentages), and estimation of multi-level logistic regression models to examine the association between women’s empowerment, contextual factors and their intentions to cut their daughters. Results A significantly higher proportion of women who participated in labour force reported that they intended to cut their daughters compared to those who did not (91.2%, CI = 90.4–91.9 and 86.0%, CI = 84.1–87.8, respectively). Similarly, the proportion intending to cut their daughters was significantly higher among women who accepted wife beating than among those who rejected the practice (94.9%, CI = 93.8–95.8 and 86.4% CI = 84.9–87.8, respectively). A significantly higher proportion of women with low decision-making power intended to cut their daughters compared to those with high decision-making power (91.0%, CI = 89.0–92.8 and 85.0% CI = 82.2–87.4, respectively). Results from multivariate regression analysis showed that the odds of intending to cut daughters were significantly higher among women who participated in labour force (aOR = 2.5, CI = 1.3–4.7) and those who accepted wife beating than among those who did not (aOR = 2.7, CI = 1.7–4.5). In contrast, the likelihood of intending to cut daughters was significantly lower among women with high than low knowledge (aOR = 0.4, CI = 0.3–0.7), and among those aged 45–49 than among those aged 15–19 (aOR = 0.2, CI = 0.0–0.6). Conclusion The findings underscore the need to align anti-FGM/C policies and programmes to women who have undergone FGM/C, those with low knowledge, women who support wife beating and young women. Such interventions could highlight the adverse implications of the practice by stressing the psychological, health and social implications of FGM/C on its survivors

Assessing Africa’s child survival gains and prospects for attaining SDG target on child mortality

This study assessed Africa’s child survival gains and prospects for attaining Sustainable Development Goals (SDG) target 3.2. We analysed multiple country-level secondary datasets of 54 African countries and presented spatial analysis. Results showed that only 8 out of the 54 African countries have achieved substantial reductions in under-5 mortality with an under-five mortality rate (U5MR) of 25 deaths per 1,000 live births or less. Many countries are far from achieving this target. Results of the predictions using supervised machine learning on the Bayesian network reveal that the probability of achieving the SDG target 3.2 (i.e., having U5MR of 25 deaths per 1000 live births or less) increases (from 21.6% to 100%) when the contraceptive prevalence increases from 49.8% to 78.5%; and the use of skilled birth attendants increases from 44.8% to 86.3%; and percentage of secondary school completion of female increases from 42.5 to 74.0%. Our results from Local indicator of spatial autocorrelation (LISA) cluster maps show that 7 countries (mainly in West/Central Africa) formed the high-high clusters (hotspots for U5M) and may not achieve the SDG target 3.2 unless urgent and appropriate investments are deployed. As 2030 approaches, there is a need to address the problem of limited access to quality health care, female illiteracy, limited access to safe water, and poor access to quality family planning services, particularly across many sub-Saharan African countries

20 years of triple graph grammars: A roadmap for future research

Triple graph grammars (TGGs) provide a declarative, rule-based means of specifying binary consistency relationships between different types of graphs. Over the last 20 years, TGGs have been applied successfully in a range of application scenarios including: model generation, conformance testing, bidirectional model transformation, and incremental model synchronisation. In this paper, we review the progress made in TGG research up until now by exploring multiple research dimensions, including both the current frontiers of TGG research as well as important future challenges. Our aim is to provide a roadmap for the coming years of TGG research by stating clearly what we regard as adequately researched, and what we view as still unexplored potential

Individual and contextual factors associated with childhood malnutrition : a multilevel analysis of the double burden of childhood malnutrition in 27 countries

Background Malnutrition is a key global health challenge and a major contributor to childhood morbidity and mortality. In recent times, the contrasting coexistence of undernutrition including micronutrient deficiencies and overweight/obesity called double burden of malnutrition has been noted at individual, household or population level and/or at different times in life. The objective of this study was to examine individual, neighborhood and country level factors that are associated with the double burden of childhood malnutrition. Methods We conducted multivariable multilevel logistic regression analyses on the most recent demographic and health datasets from surveys conducted between 2015 and 2020 in low- and middle-income countries. We analyzed data of 138,782 children (level 1) living in 13,788 communities (level 2) from 27 countries (level 3). Results The results of our analysis show variation in childhood malnutrition across the 27 countries from as low as 6.5% in Burundi to as high as 29.5% in Timor Leste. After adjusting for all level factors, we found that those who were wasted/overweight tended to have had an episode of diarrhea or fever in the last two weeks preceding the survey, were part of a multiple birth, were being breastfed at the time of the survey and born to mothers with more than one under 5-child resident in neighborhoods with high illiteracy and unemployment rates. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 44.3% and 21.0% of variance in odds of double burden of childhood malnutrition are consequent upon neighborhood and country level factors respectively. Conclusions Evidence of geographical clustering in childhood malnutrition at community and country levels was found in our study with variability due to neighborhood level factors twice that of country level factors. Therefore, strategies in tackling the double burden of malnutrition must consider these shared drivers, contextual barriers and geographical clustering effects

Undernutrition, polygynous context and family structure: a multilevel analysis of cross-sectional surveys of 350 000 mother-child pairs from 32 countries.

BACKGROUND:Contextual factors, especially where people live, has been linked to various health outcomes, therefore, there is an increasing focus on its implication for policies and implementation of health interventions. Polygyny is a widespread practice in sub-Saharan Africa that also reflects socioeconomic and sociocultural features. This study investigated the association between polygynous context and risk of undernutrition. METHODS:Recent Demographic and Health Surveys involving 350 000 mother-child pairs from 32 sub-Saharan African countries conducted between 2010 and 2018 as of March 2020, were analysed using relevant descriptive and 3-level multilevel logistic regression modelling. Undernutrition among under-5 was defined as underweight, stunting and wasting using the WHO Multicentre Growth Reference Study. Odd Ratio (OR) at 95% credible interval was used to report the associations. RESULTS:The prevalence of contextual polygyny varied widely across the 32 sub-Saharan African countries, the lowest (0%) found in one of the regions in South Africa and the highest (52%) in one of the regions in Uganda. Underweight, stunting and wasting were lowest in Uganda (3.5%, 9.3%-1.27%, respectively), stunting was highest in Mozambique (37.1%) while wasting was highest in Niger (7.7%). Furthermore, the results showed that the contextual prevalence of polygynous practice exacerbates the risk of underweight (1.003 (0.997-1.008)) and wasting (1.014 (1.007-1.021)) among under-5 children, even when gender inequality and sociodemographic indicators were adjusted for. Polygyny was negatively associated with stunting though not significant; multiple births had the strongest and positive association with the risk of undernutrition among under-5 children in sub-Saharan Africa. CONCLUSIONS:This study further corroborates the strong influence of contextual factors on health outcomes-which is undernutrition in this study. In addition to specific interventions aimed at reducing the prevalence of undernutrition, broader strategies that will address contextual issues are required