Estimation of Genetic Variability, Heritability and Genetic Advances for Short Duration and High Yielding Rice Genotypes

The goal of the study was to find genotypes of 18 different rice varieties that would yield a lot of rice in a short amount of time. With this in mind, the study genotypes' field performance as well as the relationships between various morpho-physiological and yield-contributing traits among the genotypes was assessed. The experiments were conducted from July to December 2018 at the Agronomy Field, Department of Agronomy and Agricultural Extension, Faculty of Agriculture, Rajshahi University. In genotype BRRI dhan 51, the maximum number of days to 50% flowering was discovered. The genotype BRRI dhan 56 had the lowest number of days required for 50% flowering. Genotypes showed a wide range of days to maturity (92.00–109.00), with an average of 98.96 days. The genotypes DRR 46, BINA 7, and DRR 44 are followed by the genotypes BRR1 dhan 66, BRR1 dhan 56, and BRR1 dhan 57, which have shorter maturity periods (i.e., 92.00 days), indicating earliness. The traits investigated in this study showed high heritabilities, with estimates ranging from 67.00 to 96.00 percent. Days to flowering and unfilled grain panicle-1 had the highest heritability among the traits (96.00%).The presence of high heritability values suggests that the expression of the traits under study is less influenced by the external environment. The unfilled grain panicle-1 had the highest genetic advance as a percentage of the mean (144.80%), while panicle length had the lowest genetic advance (10.48%) among the traits that affected yield. View Article DOI: 10.47856/ijaast.2022.v09i10.00

ESTIMATION OF COMBINING ABILITY AND HETEROSIS IN WHEAT

The study used a half-diallel mating fashion to identify combining ability (GCA and SCA) and heterosis of six wheat (Triticum aestivum L.) genotypes and their 15 F1 hybrids for morpho-physiological, yield, and yield-contributing traits. The present study was carried out in a randomized complete block design with three replications. The studied characters are heading days, maturity days, chlorophyll content, Plant height, Effective tillers plant-1, Total tillers plant-1, Spikes plant-1, Spike length, Filled spikelets spike-1, Unfilled spikelets spike-1, Grains spike-1, Thousand grain weight, Grain yield plant-1, Biological yield plant-1, and Harvest index Highly significant differences were observed among genotypes (parents and F1 hybrids) for all characters studied. The results also showed that the mean squares due to general (GCA) and specific (SCA) combining abilities were highly significant for all studied characters except harvest index, indicating the magnitude of both additive and non-additive gene effects in governing these traits. GCA/SCA ratios were greater than one for all characters except filled spikelets spike-1 and harvests index, indicating the dominance of additive gene effects, which play important roles in the inheritance of these characters. While the non-additive effect of the gene predominated in the inheritance of filled spikelets (spike-1) and harvests index, The parent BARI GOM-30 emerged as the best general combiner for total tillers plant-1, filled spikelets spike-1, grains spike-1, thousand-grain weight, grain yield plant-1, and harvest index. Bari Gom-28 was the best general combiner for heading days and maturity days, and Sourav was the best for effective tillers plant-1, spikes plant-1, and biological yield plant-1. The cross BARI GOM-30  SOURAV was the best specific combiner for effective tillers plant-1, total tillers plant-1, spikes plant-1, and PRODIP  SOURAV for filled spikelets spike-1. Bari GOM-33   Sourav emerged as the best specific combiner for grain yield plant-1 and Prodip    Ayt-5 for grain spike-1. Concerning heterotic effects in comparison to the midparent, the F1 hybrid BARI GOM-28  BARI GOM-33 showed maximum significant positive heterosis for chlorophyll content and biological yield plant-1 and BARI GOM-33  SOURAV for effective tillers plant-1, spikes plant-1, and grain yield plant-1. These parents and cross combinations could be used for the breeding program of wheat for potential yield. View Article DOI: 10.47856/ijaast.2022.v09i12.00

Sustainable Antibiotic-Free Broiler Meat Production: Current Trends, Challenges, and Possibilities in a Developing Country Perspective

Antibiotic-free broiler meat production is becoming increasingly popular worldwide due to consumer perception that it is superior to conventional broiler meat. Globally, broiler farming impacts the income generation of low-income households, helping to alleviate poverty and secure food in the countryside and in semi-municipal societies. For decades, antibiotics have been utilized in the poultry industry to prevent and treat diseases and promote growth. This practice contributes to the development of drug-resistant bacteria in livestock, including poultry, and humans through the food chain, posing a global public health threat. Additionally, consumer demand for antibiotic-free broiler meat is increasing. However, there are many challenges that need to be overcome by adopting suitable strategies to produce antibiotic-free broiler meat with regards to food safety and chicken welfare issues. Herein, we focus on the importance and current scenario of antibiotic use, prospects, and challenges in the production of sustainable antibiotic-free broiler meat, emphasizing broiler farming in the context of Bangladesh. Moreover, we also discuss the need for and challenges of antibiotic alternatives and provide a future outlook for antibiotic-free broiler meat production

The Study of Genetic Divergence in Rice (Oryza Sativa L.) Genotypes with Grain Yield and Different Morpho-Physiological Traits using Mahalanobis’ D2 Analysis

The current study attempted to study genetic divergence in rice (Oryza sativa L.) genotypes with grain yield and different morpho-physiological traits among 18 rice varieties using Mahalanobis' D2 analysis. Keeping this in mind, the performance of the studied genotypes, as well as the association between various morpho-physiological and yield contributing traits among the genotypes, were evaluated in the field. The experiments were conducted from July to December 2018 at the Agronomy Field, Department of Agronomy and Agricultural Extension, Faculty of Agriculture, Rajshahi University. In terms of grain yield and other morpho-physiological traits, the genotypes differed significantly. The genotypes were classified into five clusters using Mahalonobis' D2 statistics and Tocher's method (Table 3). Cluster IV was the smallest of the clusters. Cluster l is the largest, with six genotypes. Clusters II and lV each contained three and two genotypes. The pattern of genotype distribution among various clusters reflected the significant genetic variability present in the genotypes, which may be due to adaptation of these genotypes to specific environmental conditions. Genotypes from different clusters are expected (inter-cluster). The intra (bold) and inter-cluster distances from D2 analysis (Table 4). Cluster I has the greatest intra cluster distance (0.956), while Cluster IV has the smallest (0.3583). The greatest inter-cluster distance is observed between cluster IV and (8.190), while the smallest inter-cluster distance is observed between cluster II and IV (2.924). In both vectors, the average inter-cluster distances were greater than the average intra-cluster distances, indicating the presence of greater genetic diversity among genotypes from different clusters than those from the same cluster. These findings indicated that these five traits contributed the most to the divergence among the eighteen rice genotypes. The results revealed that the clusters were remarkably distinct for the majority of the traits, indicating proper clustering. The most effective tiller, grain panicle, effective grain panicle, and days to maturity were found in Cluster V. The intra-cluster mean for grain yield was the lowest in this cluster. Cluster III had the lowest grain yield per acre. This was the cluster with the lowest initial grain yield. The intra-cluster mean for effective tiller and days to maturity was highest in this cluster. Cluster II had the smallest grain yield and the second smallest thousand grain weight. Cluster V had the shortest panicle length intra-cluster. View Article DOI: 10.47856/ijaast.2022.v09i10.00

Coronavirus disease 2019 and future pandemics: Impacts on livestock health and production and possible mitigation measures

The World Health Organization declared coronavirus disease 2019 (COVID-19) a pandemic on March 11, 2020. COVID-19, the current global health emergency, is wreaking havoc on human health systems and, to a lesser degree, on animals globally. The outbreak has continued since the first report of COVID-19 in China in December 2019, and the second and third waves of the outbreak have already begun in several countries. COVID-19 is expected to have adverse effects on crop production, food security, integrated pest control, tourism, the car industry, and other sectors of the global economy. COVID-19 induces a range of effects in livestock that is reflected economically since human health and livelihood are intertwined with animal health. We summarize the potentially harmful effects of COVID-19 on livestock and possible mitigation steps in response to this global outbreak. Mitigation of the negative effects of COVID-19 and future pandemics on livestock requires the implementation of current guidelines

Analysis of Genetic Diversity in Some Rice Varieties and Their Performance in Bangladesh

This study was conducted to evaluate the genetic diversity for several rice features and their association with yields, as well as to identify genotypes of short-duration rice. The experiment was conducted in the field in a natural environment, and data were collected on several plant parameters for each genotype at various phases of plant development. Twenty genotypes of rice were examined based on their morphological and physiological characteristics. From July through December of 2020, the experiment was conducted at the Bangladesh Rice Research Institute's regional station in Shyampur, Rajshahi. There was significant diversity among the twenty rice genotypes for all characteristics tested. The genotype BRRI dhan57 displayed the shortest days to flowering. In terms of days to maturity, the genotype BRRI dhan57 was the earliest, with a maturity time of 107.33 days, followed by BRRI dhan56 and BRRI dhan39. The days to blooming had the highest heritability (99.75%), followed by the days to maturity (99.58%), grain yield (85.30%), thousand grain weight (85.22%), grains per panicle (84.91%), plant height (82.21%), and tillers per hill (21.61%). High heritability scores indicated that the researched qualities were less influenced by the surrounding environment. As a percentage of the mean, the genetic gain was greatest for grain yield (36.33%) and lowest for tillers per hill (6.60%) among the yield-contributing factors. In days to flowering, days to maturity, grains per panicle, and plant height, high heritability and genetic progress were seen. According to the principal component analysis (PCA), the Eigen values of the first four components of the total variance accounted for 89.46% of the total variance, indicating that these components were mostly responsible for the genetic diversity of the current materials. It was the largest cluster, containing seven rice genotypes. Clusters II and V contained five and four genotypes of rice, respectively. Clusters III and IV were the smallest, with only two genotypes apiece. The pattern of distribution of genotypes among various clusters demonstrated the significant genetic variety present in the genotypes, which may be the result of adaptation of these genotypes to certain environmental conditions. The largest value of intercluster distance indicated that cluster III genotypes were extremely distinct from cluster IV genotypes. Negative values in both vectors for tillers per hill suggested that this feature contributed the least to the total diversity. The number of panicles per hill, panicle length, weight per thousand grains, and grain yield were all positive in both directions. According to these statistics, these four characteristics contributed the most to the variety. View Article DOI: 10.47856/ijaast.2022.v09i12.00

An Estimation of Five-decade Long Monkeypox Case Fatality Rate: Systematic Review and Meta-analysis

On July 23, 2022 the World Health Organization (WHO) has announced the Monkeypox disease (MPXD) as a worldwide public health issue. This study conducts a systematic review and meta-analysis to determine the overall case fatality rate (CFR) of MPXD worldwide during 1970–2022. The tenure-tracked MPXD outbreaks associated with CFR were calculated based on available published data from six different periods (i.e., 1970-79, 1980-89, 1990-99, 2000-09, 2010-19, and 2000-2022). A total of 229 peer-reviewed accessible articles were investigated, of which, 17 articles met the inclusion and exclusion criteria. Most of the studies on MPXD CFR were published in the Democratic Republic of the Congo (DRC) providing 47% of data for the current meta-analysis. The overall pooled CFR of MPXD was 4.14% (range: 0.62% – 9.51%) during 1970–2022. In this study, total of 379 death cases were found from published MPXV based research articles where the pooled estimate CFR was 1.87%. The pooled CFR was higher during the earlier outbreak of the MPXD such as 10.71% in 1970-1979. With the progress of time, the CFR from MPXD followed a decreasing trend and reached 5.38% in 1980-1999 and 4.45% in 2000-2022. Young male children aged73.0%. This is the first meta-analysis using 52 years of data which indicates that the CFR of MPXV is decreasing from previous years. The findings of this meta-analysis might be paramount for the policymakers to tackle MPXD and minimize the overall CFR of MPXD through strategic actions

On the Causality Verication and Enforcement of Signal Power Integrity Models

The ever-growing development in high-speed digital systems in speed and complexity is greatly facilitated by creating macromodel for representing electronic packages. Signal Integrity (SI) engineers extensively use macromodel of digital systems in electronic circuit simulators to verify the validity and integrity of different circuits and their behavior upon simulation. When creating the macromodels for future simulation and design, verifying the stability, passivity, and causality of the data is a very important task. In this thesis, we primarily focus our discussion on causality of the system. Causality verification of linear interconnect system in high-speed digital systems is of paramount importance. A real physical system is always causal, but the measured S-parameter of such systems may contain causality violations. Different techniques of causality detection have been introduced in literature over time. We have analyzed some of these techniques and focus on their merits and demerits. A new method for checking causality is also introduced along with the challenges of implementing this technique from a practical perspective. Analysis of proposed techniques and conclusions brought about on these are supported by appropriate numerical examples. We performed tests on both artificial systems and actual physical system models for verification. Additionally, we demonstrated tests in both time domain and frequency domain for verification and enforcement of causality.masters, M.S., Electrical and Computer Engineering -- University of Idaho - College of Graduate Studies, 201