24 research outputs found

    GENETIC DIVERSITY, CORRELATION AND PATH CO-EFFICIENT ANALYSIS IN SOYBEAN (Glycine max (L.) Merrill)

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    A thesis Submitted to the Faculty ofAgriculture, Sher-e-Bangla Agricultural University, Dhaka, in partial fulfilment of the requirenents for the degree of MASTER OF SCIENCE IN GENETICS AND PLANT BREEDINGA field experiment was conducted during December, 2011 to April. 2012 to study the genetic variability, correlation, path coefficient analysis and genetic diversity for quantitative traits in soybean ((ilycine max (L.) Merrill ) with 28 genotypes in randomized complete block design with three replications. The genotypes were placed in a field experiment conducted at the research farm of Shcr-e-Bangla Agricultural University. Dhaka- 1207. Analysis of variance for each trait showed significant differences among the genotypes. Phenotypic coefficients of variation (PCV) was close to genotypie coefficients of variation ((;CV) for all the characters except pod length and seeds per pod indicating that environment had influence on the expression of these characters. High heritability associated with high genetic advance percent of mean was observed for plant height, number of branches per plant, pods per plant, seeds per plant and hundred seed weight which indicated that selection for these characters would be effective. Seed yield per plant had highly significant positive genotypic and phenotypic association with plant height, branches per plant, pods per plant, pod length, seeds per pod, seeds per plant and hundred seed weight revealing that selection based on these traits would ultimately improve the seed yield. Path coefficient analysis revealed that seeds per plant and hundred seed weight had the highest positive direct effect on seed. Hence, thrust has to be given for these characters in future breeding programme to improve the yield in soybean. Multivariate analysis based on II characters indicated that the 28 genotypes were grouped into five distant clusters. The maximum contribution of characters towards diversity was observed by days to first flowering, number of pods per plant and seeds per pod. Thus, these traits may be given high emphasis while selecting the lines for hybridization. The inter cluster distance was maximum between cluster II and cluster IV. The highest intra cluster distance was found in cluster V. From the results it can be concluded that the following genotypes viz., F-85-1 1347 (04). LG-92P-12-18 (08). RI4174-75 (023) and MTD45 I (G28) were identified as potential genotypes for higher seed yield in soybean

    Performance of Brinjal (Solanum melongena) Genotypes through Genetic Variability Analysis

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    The physiomorphological divergence was assessed in fifteen brinjal genotypes by using cluster mean analysis and mean difference to identify parental genotypes for future breeding program in order to develop new high yielding varieties in randomized complete block design with three replications. Plant height, days to first flowering, number of branch and number of fruits per plant have the highest percent of variations among the traits. The genotypes under the experiment were grouped into five clusters. The highest inter cluster distance was found between cluster III and IV followed by IV and V. According to relative contributions of the nine characters length of fruit and yield per plant have the prominent influence towards varietal improvement. Selecting genotypes from distant clusters probably provide promising recombinants and better segregants for future breeding platform

    Understanding Islamist Militancy in Bangladesh

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    Challenges from Islamist militants have been an integral part of Bangladesh's political landscape since the 1980s. Islamist militancy has passed through different phases of silent and active forms, drawing inspiration from conflicts in Libya, Palestine, Afghanistan, Iraq and Syria. A vast literature has dealt with Islamist militancy in Bangladesh, but very few works have shed light on who the Bangladeshi Islamist militants are and how they radicalize youths, whom they target for their secret mission of killings, and finally why youths choose to be radicalized, especially with the arrival of Islamic State and Al Qaeda in Bangladesh in 2013. The author conducted nearly 50 in-depth interviews with experts in Bangladesh and reviewed newspaper reports to answer these questions. This paper argues that middle-class youths with urban and secular backgrounds are increasingly being radicalized through cyber space, and diverse groups of people are targeted to carry out killings owing to their perceived ideological divergence. The idea of an apocalyptic Caliphate, a feeling of victimization, a disillusionment with the state and society, and personal distresses are all found to act as catalysts for Islamist radicalization in Bangladesh

    Islam and politics in Bangladesh: the followers of Ummah

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    Mubashar Hasan, an young academic from Bangladesh who was kidnapped and later released after 44 days in November 2017 (21), delivers a nuanced, refined, and well researched book on the growing nexus between Islam and politics in contemporary Bangladesh. He does so by employing socio-political and historical approaches, an area of knowledge which has so far attracted inadequate scholarly attention, be it at home or abroad. For the analysis and conceptualisation of the book, the author relies mainly on the Islamic concept of ummah, which is further reinforced by another Islamic ideal, 'Muslim brotherhood'. This ideology of ummah is for Muslims as powerful as Western liberalism (204) because it addresses a broader Muslim community beyond national boundaries and time periods. In this respect, it competes with the dominant value system of western societies. This book thus clearly demonstrates that the underlying spirit of political ummah undermines the spirit of liberal democracy and secularism. It can thereby also foster interfaith intolerance and conservative religiosity, and concurrently welcoming religious fundamentalism (2)

    Automated Detection of Sockpuppet Accounts in Wikipedia

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    Wikipedia is a free Internet-based encyclopedia that is built and maintained via the open-source collaboration of a community of volunteers. Wikipedia’s purpose is to benefit readers by acting as a widely accessible and free encyclopedia, a comprehensive written synopsis that contains information on all discovered branches of knowledge. The website has millions of pages that are maintained by thousands of volunteer editors. Unfortunately, given its open-editing format, Wikipedia is highly vulnerable to malicious activity, including vandalism, spam, undisclosed paid editing, etc. Malicious users often use sockpuppet accounts to circumvent a block or a ban imposed by Wikipedia administrators on the person’s original account. A sockpuppet is an “online identity used for the purpose of deception.” Usually, several sockpuppet accounts are controlled by a unique individual (or entity) called a puppetmaster. Currently, suspected sockpuppet accounts are manually verified by Wikipedia administrators, which makes the process slow and inefficient. The primary objective of this research is to develop an automated ML and neural-network-based system to recognize the patterns of sockpuppet accounts as early as possible and recommend suspension. We address the problem as a binary classification task and propose a set of new features to capture suspicious behavior that considers user activity and analyzes the contributed content. To comply with this work, we have focused on account-based and content-based features. Our solution was bifurcated into developing a strategy to automatically detect and categorize suspicious edits made by the same author from multiple accounts. We hypothesize that “you can hide behind the screen, but your personality can’t hide.” In addition to the above-mentioned method, we have also encountered the sequential nature of the work. Therefore, we have extended our analysis with a Long Short Term Memory (LSTM) model to track down the sequential pattern of users’ writing styles. Throughout the research, we strive to automate the sockpuppet account detection system and develop tools to help the Wikipedia administration maintain the quality of articles. We tested our system on a dataset we built containing 17K accounts validated as sockpuppets. Experimental results show that our approach achieves an F1 score of 0.82 and outperforms other systems proposed in the literature. We plan to deliver our research to the Wikipedia authorities to integrate it into their existing system

    Arsenic in Eggs and Excreta of Laying Hens in Bangladesh: A Preliminary Study

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    The aim of this study was to detect arsenic concentrations in feed, well-water for drinking, eggs, and excreta of laying hens in arsenic-prone areas of Bangladesh and to assess the effect of arsenic-containing feed and well-water on the accumulation of arsenic in eggs and excreta of the same subject. One egg from each laying hen (n=248) and its excreta, feed, and well-water for drinking were collected. Total arsenic concentrations were determined by atomic absorption spectrophotometer, coupled with hydride generator. Effects of arsenic-containing feed and drinking-water on the accumulation of arsenic in eggs and excreta were analyzed by multivariate regression model, using Stata software. Mean arsenic concentrations in drinkingwater, feed (dry weight [DW]), egg (wet weight [WW]), and excreta (DW) of hens were 77.3, 176.6, 19.2, and 1,439.9 ppb respectively. Significant (p<0.01) positive correlations were found between the arsenic contents in eggs and drinking-water (r=0.602), drinking-water and excreta (r=0.716), feed and excreta (r=0.402) as well as between the arsenic content in eggs and the age of the layer (r=0.243). On an average, 55% and 82% of the total variation in arsenic contents of eggs and excreta respectively could be attributed to the variation in the geographic area, age, feed type, and arsenic contents of drinking-water and feed. For each week’s increase in age of hens, arsenic content in eggs increased by 0.94%. For every 1% elevation of arsenic in drinking-water, arsenic in eggs and excreta increased by 0.41% and 0.44% respectively whereas for a 1% rise of arsenic in feed, arsenic in eggs and excreta increased by 0.40% and 0.52% respectively. These results provide evidence that, although high arsenic level prevails in well-water for drinking in Bangladesh, the arsenic shows low biological transmission capability from body to eggs and, thus, the value was below the maximum tolerable limit for humans. However, arsenic in drinking-water and/or feed makes a significant contribution to the arsenic accumulations in eggs and excreta of laying hens

    Therapeutic competence of dried garlic powder (Allium sativum) on biochemical parameters in lead (Pb) exposed broiler chickens

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    The study was conducted to assess the therapeutic competence of garlic (Allium sativum) in lead (Pb) exposed chickens. The experimental birds (n=350) were grouped into T0 (as control), T1, T2, T3 and T4. The birds of group T1 was provided with lead acetate at 100 mg/kg body weight. Group T2 had lead acetate at 100 mg/kg b.wt. + 1% garlic supplement, whereas group T3 was fed with lead acetate at 100 mg/kg b.wt. + 2% garlic supplement, and group T4 had lead acetate at 100 mg/kg b.wt. + 4% garlic supplement. The mean values (mg/dL) of uric acid, blood urea nitrogen, creatinine, cholesterol, triglycerides, low density lipoprotein, high density lipoprotein, and blood glucose in the birds of group T1 were significantly increased (p<0.01) on day 42 of post-treatment. Elevation of these parameters was suggestive for the pathological involvement of different organs like liver, kidney, muscles. Statistical analysis of variance indicated that lead acetate at 100 mg/kg b.wt. + 2% garlic supplement (T3) resulted significant (p<0.01) ameliorative effect on the biochemical parameters as compared to the group T2 and T4. In conclusion, potency of garlic in reversion of the values of the biochemical properties in Pb exposed chickens was close to the normal levels of the values

    Arsenic in Eggs and Excreta of Laying Hens in Bangladesh: A Preliminary Study

    No full text
    The aim of this study was to detect arsenic concentrations in feed, well-water for drinking, eggs, and excreta of laying hens in arsenic-prone areas of Bangladesh and to assess the effect of arsenic-containing feed and well-water on the accumulation of arsenic in eggs and excreta of the same subject. One egg from each laying hen (n=248) and its excreta, feed, and well-water for drinking were collected. Total arsenic concentrations were determined by atomic absorption spectrophotometer, coupled with hydride generator. Effects of arsenic-containing feed and drinking-water on the accumulation of arsenic in eggs and excreta were analyzed by multivariate regression model, using Stata software. Mean arsenic concentrations in drinkingwater, feed (dry weight [DW]), egg (wet weight [WW]), and excreta (DW) of hens were 77.3, 176.6, 19.2, and 1,439.9 ppb respectively. Significant (p<0.01) positive correlations were found between the arsenic contents in eggs and drinking-water (r=0.602), drinking-water and excreta (r=0.716), feed and excreta (r=0.402) as well as between the arsenic content in eggs and the age of the layer (r=0.243). On an average, 55% and 82% of the total variation in arsenic contents of eggs and excreta respectively could be attributed to the variation in the geographic area, age, feed type, and arsenic contents of drinking-water and feed. For each week’s increase in age of hens, arsenic content in eggs increased by 0.94%. For every 1% elevation of arsenic in drinking-water, arsenic in eggs and excreta increased by 0.41% and 0.44% respectively whereas for a 1% rise of arsenic in feed, arsenic in eggs and excreta increased by 0.40% and 0.52% respectively. These results provide evidence that, although high arsenic level prevails in well-water for drinking in Bangladesh, the arsenic shows low biological transmission capability from body to eggs and, thus, the value was below the maximum tolerable limit for humans. However, arsenic in drinking-water and/or feed makes a significant contribution to the arsenic accumulations in eggs and excreta of laying hens
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