Season In Bangladesh Research Articles

Development of Iron and Zinc Biofortified Rice Variety for Nutrition Improvement in Bangladesh

Depleting micronutrients such as iron and zinc poses a serious risk to a population’s health in regions where nutrient-rich meals are unavailable, such as Bangladesh. We can engross the essential minerals using biofortified rice varieties enriched with essential minerals. We experimented to develop and evaluate a new high-yielding rice variety, Advanced Chemical Industries (ACI) dhan1, specifically for the rainy season in Bangladesh. We used high-yielding rice parent lines with high iron and zinc in the hybridization process, then grew and selected the resulting breeding lines during the rainy season of Bangladesh to identify the most suitable rice lines for the rainy season. The plant height and days to maturity traits were the same as shown in both cultivars, ACI dhan1 and Bangladesh Rice Research Institute (BRRI) dhan62 (standard check), which are 104 cm and 103 days, respectively. On the other hand, ACI dhan1 produced 6.05 tons per hectare, and BRRI dhan62 yielded 4.33 tons per hectare. A quality analysis of the grain quantified that ACI dhan1 contained 8.21% protein and 25.12% apparent amylose. Similarly, ACI dhan1 had very high levels of Zn (24.8 ppm) and Fe (9 ppm). We observed a more than 70% improvement in milling capabilities and head rice recovery. In proposed variety trials, the Seed Certification Agency of Bangladesh identified an average yield advantage of more than 10% for ACI dhan1 in 10 locations. National Seed Board, Bangladesh, released it as a candidate for high-iron and zinc-enriched rice variety and approved its extensive cultivation in Bangladesh. Due to its high micronutrient content, excellent agronomic performance, and non-sticky cooking quality, ACI dhan1 presents itself as a variety of choice in Bangladesh’s pursuit of food and nutrition security. Thus, the present study demonstrates the large achievement of biofortification by ACI dhan1 and hence promises to be a strong weapon in the battle against malnutrition.

SODIS with hydrogen peroxide: an effective household water treatment option under sub-tropical climatic conditions of bangladesh.

Solar disinfection (SODIS) is an affordable and sustainable Household Water Treatment (HWT) method endorsed by WHO. However, its limitations include longer sunlight exposure requirements, incomplete microbial inactivation, and post-SODIS microbial regrowth during monsoon and winter seasons in subtropical climates. To address these limitations, the performance of SODIS with H2O2 for microbial inactivation during the monsoon and winter seasons in Bangladesh was evaluated following the WHO HWT protocols. Moreover, the process was verified using drinking water samples collected from restaurants, households, and slums. All SODIS experiments were conducted using reflective reactors with PET bottles and plastic bags, adding 10 mg/L of H2O2, and exposing them to sunlight for 6 h. The results showed that E. coli was completely inactivated within 2 h in plastic bags and within 3 h in PET bottles during the monsoon season, achieving an LRV of > 5. In winter, both achieved an LRV > 5 within 3 h and plastic bags showed more efficient in microbial inactivation than PET bottles. The microbial inactivation rates were 5 times higher than those of conventional SODIS. No regrowth of microorganisms was observed during the subsequent post-SODIS period of 12 h and 24 h at room temperature. The study findings suggest that SODIS with H2O2 has the potential for complete microorganism inactivation with shorter sunlight exposure in subtropical climates with moderate to low solar irradiation and can be adopted as a reliable disinfection option for rural and urban communities with unsafe drinking water supply.

Performance of kharif maize under conservation tillage in silty clay loam soil

Maize is a major staple food as well as potential cash crop for millions of people, mostly grown in the winter season in Bangladesh under conventional tillage practice. But huge area of cultivable land remains fallow in kharif-1 season in Sylhet region as well as other parts of Bangladesh. Hence, we aimed to identify the best variety and tillage method to grow maize in silty clay loam soil in kharif season. An experiment was conducted to study the performance of six maize varieties in the Kharif-I season (summer) under three tillage methods in silty clay loam soil of Eastern Surma-Kushiyara floodplain (AEZ-20). The experiment was arranged in RCBD with three replications to observe yield contributing traits and yield performance of maize. Among the varieties, BARI Hybrid Maize-16 showed the highest yield attributes and grain yield followed by BARI Hybrid Maize-13 and BARI Hybrid Maize-9. Based on tillage, the maximum number of leaves per plant, cob length and diameter, kernel rows per cob, kernels per row, kernels per cob, highest grain yield, and stover yields were recorded in conventional tillage. Therefore, considering the yield and tillage methods, BARI Hybrid Maize-16 showed the best yield performance under conventional tillage in the kharif-I season in silty clay loam soil of Eastern Surma-Kushiyara floodplain of Bangladesh.

Identification of seasonal drought and its impacts on cropping season in Bangladesh

PurposeThis study aims to identify seasonal drought using standardized precipitation index (SPI). The following specific objectives are to generate result and identify seasonal drought and determine different scale of seasonal drought and its impacts on cropping season.Design/methodology/approachSeasonal SPI was calculated using long-term rainfall data for three seasons. The SPI was calculated using the formula and it is effective for the determinants. This study showed the functional relationship between drought duration, frequency and drought time scale using the SPI. SPI=X−X¯σ.FindingsSeasonal drought occurs more frequently in Bangladesh that affects crops and the agricultural economy every year. More severe drought was recorded during the Kharif-1 and Kharif-2 seasons and most crops were affected in these two seasons. No severe or moderate drought was recorded during the Rabi season. The results showed that monsoon crops were severely affected severely by extreme and severe droughts during the Kharif-2 season. Eventually, the people remain jobless during the monsoon, and they experience food shortages like monga. Several obstacles were recorded during the season, including delayed preparation of land, sowing, transplanting and other farming activities because of monsoon droughts. This study revealed that very frequently, mild dryness occurs in winter, but crop loss is minimal. The scale and occurrence of extreme droughts are more frequent during monsoons and reduce crop yields, affecting livelihoods in the study area. Seasonal drought affects cropping patterns as well as reduce crop yields.Originality/valueThe outcome of this study derived from the secondary data and field data.

Prevalence of Heart Failure Patients Admitted in the Winter and Other Seasons in a Tertiary Care Hospital Bangladesh

Background: As a leading global cause of death and disability, heart failure places a significant strain on the healthcare system. It has been observed that in some countries, there is a seasonal increase in the number of people admitted to hospitals with heart failure during winter. However, there is a dearth of population-based statistics for Southeast Asia and Bangladesh. with regards to this subject. Objective: To determine the number of patients with heart failure admitted during the winter and other seasons in Bangladesh's tertiary care hospitals. Materials and Methods: This study used a cross-sectional, observational design. The study was carried out at the Cardiology Department of Dhaka Medical College Hospital (DMCH). The research took place over the course of a year, from April 2015 to March 2016. Patients with heart failure who are admitted to the DMCH's Cardiology Department constitute the study population. This study made use of a systematic sampling strategy. All 584 patients who visited the hospital's cardiology department were counted. Patients' demographics, medical histories, symptoms, and test results were recorded on a standard data collection form. The statistical software package SPSS 22.0 was used to analyze the data (Statistical Package for Social Science). Results: Heart failure patients were most prevalent in the 41 to 60 age group, with 74.3% being men and 25.7% being women. The winter season saw the largest number of patient admissions (n=207, 35.5%). Compared to other seasons, the winter had higher concentrations of all risk variables. It is statistically significant, with the exception of thyroid issues and dyslipidemia (p-values of <0.222, <0.001, <0.001, <0.001, and <0.006). Conclusion: General practitioners might learn how to handle heart failure patients' responses to the cold and hone their abilities in this area. This research may also be useful for modifying the wintertime accessibility of hospital resources like emergency rooms.

Techno-economics and environmental sustainability of agricultural biomass-based energy potential

This paper explores the viability of utilizing agricultural biomass-based energy potential, employing mathematical, engineering, and economic modeling techniques. Moreover, the potential of a biogas-based co-digestion (CD) system, integrating its techno-economic performance and environmental sustainability in terms of electricity generation, has also been studied. In this investigation, the categorization of 25 different plant species into two groups: arable field crops (AFCs) and horticultural plants (HPs), was performed. Data was collected during the 2021‐–2022 cropping season in Bangladesh from various sources, including literature reviews, governmental, and non-governmental organizations. The findings revealed that the available agricultural biomass residues, totaling 1,02,585.75 KT, have the capacity to generate 1,33,815 million m3/year of biogas. This energy potential corresponds to 291,125.85 TJ/year or 9231.60 MW of electricity, which can fulfill 88% of the national total energy demand. In terms of levelized cost, the proposed approach is more competitive and shows a greater promise compared to other technologies. Furthermore, it demonstrates environmental friendliness by reducing CO2 emissions by 156 tons at a cost of $7/ton while earning $1092 annually from the potential carbon-credit market. This approach presents a potential solution to address Bangladesh's energy crisis. The payback period of the system ranged from 2.93 to 3.75 years, with and without the inclusion of a slurry, respectively. The recommended methods hold significant promise for meeting national energy demands. A case study was provided as a proof-of-concept (PoC) to validate the approach. This study is the first of its kind, providing valuable insights into the renewable energy potential in Bangladesh. The results will assist policymakers in formulating sustainable energy policies.

Assessment of radiological dose and emergency planning zones of TRIGA Mark-II research reactor of Bangladesh due to a postulated severe accidental condition

Radiological dose and emergency planning zones assessment has been conducted for dry and rainy seasons in Bangladesh for the TRIGA Mark-II research reactor. A postulated severe accident of a plane crash was considered in this analysis. Due to the full collapse of the reactor building and core damage, core inventory radionuclides were released at their highest release fraction. In this instance, doses due to the release of radionuclides such as Xe, Kr, I, and Cs were estimated using two different atmospheric dispersion models utilizing meteorological data collected from the Bangladesh Meteorological Department. The source term analysis has been performed using the ORIGEN 2.1 code. The HotSpot 3.1.2 and RASCAL 4.3 codes were used for the assessment of radiological doses. Based on the results of both the RASCAL 4.3 and HotSpot 3.1.2 codes, the TEDE and thyroid CDE were found to be substantially higher than the allowable limit in a large area. The dose values were compared to the dose standards of the IAEA General Safety Requirements (GSR) Part 7 and the United States Environmental Protection Agency (U.S. EPA) to identify the evacuation, sheltering and iodine prophylactic administration distances for both dry and rainy seasons. The evacuation and sheltering distances were obtained at approximately 2.25–5 km, 4.5–15 km, and 3–6.6 km, 3.7–8.5 km according to U.S. EPA dose criteria in the dry and rainy seasons, respectively. On the other hand, according to IAEA GSR part 7 dose criteria, the evacuation and sheltering distances are obtained at 1.5–3.5 km and 2.5–5.25 km in the dry and rainy seasons, respectively. Thus required emergency protective actions must be undertaken by the local authority to lessen the health impact on the general public.

Genetic variability and agronomic performances of rice genotypes in different growing seasons in Bangladesh

Genetic variability is a key factor in the selection of suitable genotypes in rice breeding programs. To evaluate the genetic variability of 11 rice genotypes, a study was carried out in the field of agronomy at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, during 2019–2020. These genotypes were characterized for 11 traits and analyzed to determine the level of genetic and agronomic diversity as well as the degree of association existing between grain yield and its related component traits. The results revealed significant differences (P ≤ 0.001 and 0.05) among the rice genotypes for the studied traits in all growing seasons. Furthermore, it was noted that the phenotypic coefficient of variation was more pronounced than the genotypic coefficient of variation, highlighting the environmental impact on each trait. The majority of the traits had moderate to high heritability and genetic advance across the three seasons, showing additive gene action. The principal component analysis showed that the first three principal components accounted for the greatest variability, with the majority of the evaluated traits significantly influencing the genetic variability. The mean value of studied traits exhibited that there was seasonal variation of grain yield by the genotypes, such as BU-R-ACC-08 and BU-R-ACC-11 genotypes, which produced higher yield in Aus, BU-R-ACC-05 and BU-R-ACC-06 in Aman, and BU-R-ACC-07 and BU-R-ACC-06 in Boro season, where several genotypes mature earlier in all growing seasons, viz., BU-R-ACC-05, BU-R-ACC-01, BU-R-ACC-10, and BU-R-ACC-11. The correlation analysis revealed that there were significant, strong positive or negative correlations among the traits. The results suggest that agronomical traits that were positively correlated with grain yield could be useful in selecting desired rice genotypes.

Accumulation of arsenic and other metals in soil and human consumable foods of Meherpur district, southwestern Bangladesh, and associated health risk assessment

Groundwater and soil contaminated with arsenic (As) are significant environmental health concerns worldwide and have become a serious health issue for millions of Bangladeshis. This contaminated groundwater is commonly used for Boro rice production during the dry season in Bangladesh, leading to long-term As deposition in soils. The consequences of long-term irrigation with As-contaminated groundwater for bioaccumulation in food crops and hence dietary exposure to As and other metals are a threat to the resident. Highly arsenic (292 µg L−1) contaminated groundwater used to irrigate in the study area increases the As content (mean: 24.5 mg kg−1) in irrigated soil than non-irrigated soil (mean: 8.43 mg kg−1). The high enrichment factor (mean: 16.8) and geo-accumulation index (mean: 2.33) revealed that the soil of that particular area is strongly contaminated by As. In paddy, roots showed the maximum As concentration (mean: 139.8 mg kg−1) followed by straws (mean: 5.25 mg kg−1) and grains (mean: 1.23 mg kg−1) where 85–95% As exist in the roots of paddy, and only 0.8–1% As translocate to the harvesting part of the rice in the study area. In food samples, two rice grains (R-1, R-3) and a drumstick (FS-5) exceed the Indian standard of As concentration (As: 1.1 mg kg−1) in food. According to World Health Organization, the metals concentrations in all food samples exceeded the permissible limit except for Cu and Pb in red amaranth; Cr, Cd, and Pb in guava; and Cu and Cd in drumsticks. Higher values of bioaccumulation factor (BAF: 2.94) and the net translocation coefficient (NTC: 6.17) indicate As-accumulation in food from adjacent contaminated soil. Daily metal intake from food consumption suggests that the heavy metal(loid)s like As, Ni, and Pb represent high concentrations and exceed the daily ingestion limits (As: 3 µg kg−1 day−1, Ni: 1.3 µg kg−1 day−1, and Pb: 3.57 µg kg−1 day−1) developed by the Food and Agriculture Organization and European Food Safety Authority. Carcinogenic (> 10–6) and non-carcinogenic (HQ > 1) health risks of As, Pb, Cd, and Cu suggest that the community was at potential health risk according to the United States Environmental Protection Agency.

Spatial analysis of thunderstorms and lightning casualties in Bangladesh

Considering the adverse outcomes of thunderstorm‐mediated lightning in recent years, this study aimed to identify the most thunderstorm‐and‐casualty prone regions and seasons in Bangladesh, via geospatial mapping. We attempted to forecast the number of yearly thunderstorm (TS) days for each meteorological station and district‐level lightning casualties by using TS days as a proxy variable. Data on TS days and lightning casualties were collected from Bangladesh Meteorological Department and Network for Information, Response And Preparedness Activities on Disaster respectively. This study analysed 629 fatalities and 232 injuries. The Integrated Nested Laplace Approximation with Matern covariance function was employed to assess the spatial pattern of TS days. Polynomial regressions were used to forecast the number of TS days and the single clustered Generalized Estimating Equations method was employed to explore the relationship between the number of TS days and lightning casualties. The results indicated that the mean number of TS days per station increased in recent years, particularly in February, March, April, and September. We found the months of April, May, June, and September to be the most threatening months due to TS events and related casualties. The northeast region was identified as the most TS‐prone region with the highest number of casualties in Bangladesh. Our analysis suggests that it might remain the most hazardous region in coming years.

Effect of Salinity (NaCl) Stress on Root-shoot Traits of Tomato in Hydroponic Culture

Background: Tomato is one of the most important and popular vegetable crop grown mainly in dry seasons in Bangladesh. The southern part of the country is suffering from soil salinity problem due to tidal floods. The increasing salinity in the cultivatable land causes huge crop failure. A dozen of tomato varieties have been developed but they are not been tested for salinity tolerance. Therefore, this study was conducted to evaluate the tolerance level of tomato varieties against NaCl salinity stress at the vegetative stage. Methods: The study comprised of four levels of electrical conductivity (EC) based NaCl salinity viz., EC 2 (control), EC 4, EC 6 and EC8 mS/cm and eight varieties of tomato. The two-factor pot experiment was carried out in a randomized complete block design with four replications. NaCl salinity was imposed on the tomato plants through a hydroponic culture system and the effects of salinity on shoot-roots traits were measured. Result: Results showed that morphological traits of tomato plants varied significantly with the salinity levels and variety. It is also noticed that all the vegetative traits reduced as salt concentrations increased in the solution. In combined effects of variety and salinity levels, it was found that BARI Tomato-17 performed superior. It can be concluded that variety BARI Tomato-17 showed comparatively salt tolerant than the other varieties.

Profitability analysis of paddy production in different seasons in Bangladesh: Insights from the Haor

This study aimed to investigate the cost-benefit per hectare of rice production in the haor region in Bangladesh. For doing so, the multi-stage sampling technique was used to collect cross-sectional data during 2018 from four haor districts producing rice in Bangladesh. To achieve the purpose, a total of 368 randomly selected farming households from Habiganj, Sunamganj, Moulvibazar, and Sylhet districts were surveyed using a structured questionnaire. Data analysis was done utilizing descriptive statistics and cost and return analysis. The result revealed that labor costs constituted the largest proportion of gross operating expenses, followed by fertilizer, irrigation, tillage, insecticides and herbicides, and threshing cost. The cost-benefit analysis finding also shows that rice is a profitable enterprise in the haor areas as the lower production cost compared to return. Because of the amount of input used and the price of output, the profitability differs between different seasons, however. The model shows that cost of seed, human labor cost, cost of TSP, cost of MoP, and cost of irrigation were the key factors that influenced rice production. This study also identified some of the problems related to rice production in haor areas. Lower output price, higher input price, unavailability of short growth duration high yielding varieties, and embankment damages, etc., are key obstacles to rice production. Therefore, this study provides the government's concerned authority with appropriate suggestions and policy recommendations to solve the farmers' issues that could boost rice productivity in the haor areas and contribute to food security and self-sufficiency in rice cultivation.

Antibiotics Resistance Pattern of Food-Borne Bacteria Isolated from Ice Cream in Bangladesh: A Multidisciplinary Study

Ice cream is one of the most popular food items consumed during the summer season in Bangladesh by all ages but mostly school-going students. Due to the ingredients and handling process of ice cream, it acts as a good shelter for pathogenic and nonpathogenic microorganisms. Therefore, we aimed to investigate the microbial count, prevalence, isolate and characterize multidrug-resistant bacteria in ice cream samples collected from nearby shops of schools in Tangail district, Bangladesh. Ice-cream consumer and nonconsumer students were selected by providing questionnaires. Total viable count (TVC) and total coliform count (TCC) were determined by pour plate methods, where conventional methods were performed for bacterial identification. The Kirby-Bauer disk diffusion method was used to determine the antimicrobial susceptibility of bacterial isolates. Kado and Liu method, with some modifications, was used to extract plasmid from the isolated bacteria and visualized through gel electrophoresis. The demographic characteristics showed that the degree of symptoms regarding microorganisms mediated disorders and rate of antibiotics intake in ice cream consumers were significantly higher than the nonconsumers. The range of TVC and TCC in the ice cream samples was found 0–9.9 × 109 CFU/ml and 0–900 CFU/ml, respectively. Interestingly, 93.75% of the total ice cream samples also showed fungal positive. A total of 12 different bacterial species were identified, including Proteus spp, E. coli, V.cholera, Pseudomonas spp, Shigella spp, Klebsiella spp, Aeromonas spp, V. Parahemolyticus. Salmonella paratyphi, Citrobacterspp, Plesiomonasspp, and Staphylococcus aureus. The antimicrobial susceptibility assay showed the multiple resistance frequency of these isolates to different antimicrobial drugs. All individual isolates were screened for plasmid DNA, and we found that seven strains harbored a single or more than two plasmids sized approximately between 1.9 and 140 MDa, indicating a possible connection between resistance phenotype pattern and genotype.

Interactive Effects of Tillage Systems and Nitrogen Fertilizer Rates on the Performance of Mustard-Boro-aman Rice Cropping Systems under Conservation Agriculture Practices

In intensive crop production systems, sustainable agricultural development strives to find the balance between productivity and environmental impact. To reduce the N fertilizer-associated environmental risks of intensive cropping, sound agronomic and environmentally acceptable management practices are urgently needed. To attain high yields, improve soil health, and ensure economic return and N usage efficiency in conservation-based intensive agriculture, N management must be optimized, which has not yet been studied systematically in the mustard-boro rice-aman rice cropping pattern. During 2016/17, 2017/18, and 2018/19 cropping seasons in Bangladesh, cropping system experiments were conducted to investigate the interactive effects of tillage practices and nitrogen fertilizer rates on soil characteristics, crop productivity, and profitability under conservation agriculture (CA) systems. The trial featured two tillage systems: (i) conventional tillage (CT) and (ii) strip-tillage (ST). It also used three doses of N fertilizer: N1: 75% of the recommended N fertilizer dose (RND); N2: 100% of the RND; and N3: 125% of the RND. Each crop’s experiment was set up in a split-plot design with three replications, with the main plot assigned tillage practices and the sub-plot assigned nitrogen fertilizer rates. For rice, neither the tillage systems nor the interactions between the tillage systems and N levels affected any of the growth parameters, yield, and yield components, but the N levels did. Across the tillage systems, the rice grain and straw yield were similar for the N levels of 100% RND and 125% RND, which were significantly higher than the N level of 75% RND. In mustard, the highest seed yield was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the tillage system ST with 100% RND and CT with 125% RND. The highest system rice equivalent yield (SREY, 14.9 to 15.8 t ha−1) was recorded from the tillage system ST, with an N level of 125% RND, which was at par with the same tillage system with an N level of 100% RND. The soil penetration and bulk density (BD) were higher for the CT than the ST, but soil organic matter (OM), total nitrogen (TN), phosphorus (P), potassium (K), and boron (B) content were higher for the tillage system ST than the CT. Across N levels, the tillage system CT had a 2–4% higher production cost than the ST. Total production cost increased as N levels increased across all tillage systems. The tillage system ST with an N level of 125% RND had the highest system gross return and net profit, which was at par with the same tillage system with 100% RND. This study suggested that farmers should apply slightly higher N for the mustard-boro-aman rice systems for the first couple of years when commencing CA; however, after a few years of consistent CA practice, the N rate may be reduced.

The impact of the international rice genebank’s (IRG) on rice farming in Bangladesh

BackgroundThe International Rice Genebank (IRG) currently safeguards the largest and most diverse collection of rice genetic resources in the world. Over the past decades, genetic resources from the IRG have been used effectively to increase smallholder farmers’ rice productivity in developing economies. Bangladesh is one of the direct and indirect recipients of IRG germplasm for rice genetic improvement. This study aimed to map the impact pathways of IRG germplasm transfers to Bangladesh, evaluate the genetic contribution of IRG germplasms to rice productivity of farmers, and compute the equivalent economic benefit.MethodsImpact pathway analysis was conducted to map the IRG’s germplasm transfer for varietal improvement and seed dissemination of improved rice varieties in Bangladesh using the information collected from key informant interviews. Using data from the farm household survey conducted by the International Rice Research Institute (IRRI) in 2016 in five divisions in Bangladesh, a pedigree analysis was conducted that related the productivity changes in farmers’ fields explicitly to genebank accessions through varietal improvement. Afterward, we evaluated the economic benefit of IRG contribution in rice varietal improvement in Bangladesh using the computed marginal increases in productivity, average paddy price, and estimated total rice area.ResultsIRG’s impact pathway on germplasm transfer in Bangladesh showed that impacts for farmers were achieved through joint efforts with IRRI and the National Agricultural Research and Extension System’s research-for-development programs. On average, 52% of the improved rice varieties’ genetic composition, cultivated by farmers in Bangladesh, definitely came from IRG accessions. This contribution factor could increase up to 67% if possible contributions were taken into account. The results of the Cobb–Douglas model implied that for every 1% increase in the definite IRG contribution to an improved rice variety, there was an increase in rice yield of about 0.99%, holding other factors constant. This yield increase can be translated into an additional US$ 8,576,973 aggregated net benefit of farmers during the wet season in Bangladesh. The enhanced yield can be associated with the added important agronomic traits contributed by the accession provided by the IRG in the genetic background of the rice varieties developed for farmers in Bangladesh.ConclusionsThe findings of the study demonstrate that IRG accession forms a significant part of the ancestry of improved rice varieties which is associated with improved yield. The study highlights the valuable contribution of IRG’s conservation and distribution of genetic accessions to the research and development of improved rice varieties and rice production on farms in Bangladesh.

Forecasting seasonal mean temperature over Rangpur, Bangladesh

The study was conducted by Climate Predictability Tools (CPT) to forecast (short-range forecast) the seasonal mean temperature over Rangpur for six Bengali seasons in Bangladesh. In this study, the sea surface temperature (SST) for the period of 1975 to the previous month of each season of 2008 was used as the predictor. This study also evaluated the difference between forecasted seasonal mean temperature and observed seasonal mean temperature for six seasons. To find the SST that is similar to the temperature in Rangpur, a correlation between the temperature of Rangpur and the sea surface temperature of various parts of the earth was performed through CPT using both data of 1975- 2008 years. The obtained SST through correlation that is more or less similar to the temperature in Rangpur was used as a predictor to forecast seasonal mean temperature of the year 2009. Statistical and mathematical methods were applied by CPT in this research which included canonical correlation analysis, covariance matrix, and eigenvalues equations.The study found that the forecasted seasonal mean temperature was higher in rainy and winter seasons than the temperature observed and was lower in summer, autumn, late autumn, and spring season than the observed temperature at Rangpur. The maximum overestimated temperature was found to be 0.52oC/day in winter and the maximum underestimated temperature was found to be 0.54oC/day in autumn. On the other hand, the minimum overestimated temperature was found during the rainy season having the value of 0.34oC/day and the minimum underestimated temperature was obtained during the summer season having the value of 0.25oC/day, which was the best-forecasted temperature. Therefore, the forecasted values of temperature in the summer and rainy seasons were found closer to the observed temperature during 2009. So, it can be said that it is possible to obtain good forecasting of temperature through CPT.

Assessing high-yielding cowpea varieties for bacterial blight resistance in Bangladesh: A step towards an environment-friendly and sustainable solution

Cowpea is well-known worldwide for its high protein content, versatile use, and adaptability. However, it is devastatingly affected by bacterial blight disease caused by Xanthomonas axonopodis pv. vignicola (Xav). The present study was designed to assess ten high-yielding cowpea varieties for bacterial blight resistance in two contrasting cropping seasons in Bangladesh. The varieties were evaluated using seed and stem inoculation with Xav bacteria, followed by phenotypic and molecular characterisation. The varieties were morphologically assessed using nine disease-related qualitative and quantitative traits, and genetic variations were investigated through nine SSR markers. Disease development varied significantly (P = 0.05) among the varieties. Substantially higher disease incidence was observed in the Kharif season compared to the Rabi season. Felon local, Dark Green-28, and Dark Green-1028 varieties were resistant in both seasons. On the other hand, BARI Felon-1 was highly susceptible to susceptible in both seasons as infections were over 50%. Moreover, plant height, leaf area, branch number, and leaf number significantly differed among the varieties. Besides, in the molecular study, polymorphism information content and Nei’s gene diversity were detected as 0.3658 and 0.4089, respectively. Kegornatki showed the highest genetic variation vs Dark Green-1028. The UPGMA dendrogram segregated the ten cowpea varieties into two main clusters. This study revealed that three high-yielding varieties, viz., Dark Green-28, Dark green 1028, and Felon local, were resistant to bacterial blight and showed better performance in morpho-molecular characterisation. Therefore, these varieties can be integrated into future cowpea breeding programmes to develop cultivars that can control the high pressures of Xav.

Effects of Organic Amendments on Soil Aggregate Stability, Carbon Sequestration, and Energy Use Efficiency in Wetland Paddy Cultivation

A study was conducted to assess the effects of organic amendments on soil aggregates, carbon (C) sequestration, and energy use efficiency (EUE) during five consecutive Boro and Transplanted Aman rice seasons in Bangladesh during 2018–2020. Five treatments (viz., control (only inorganic fertilizers), cow dung (CD), vermicompost (VC), rice straw (RS), and poultry manure (PM)) were used. The organic materials were applied at 2 t C ha−1 season−1 to all the plots, except in the control treatment. Inorganic fertilizers were applied in all treatments in both seasons following integrated nutrient management (INM). The data reveal that PM was found to be more efficient at increasing the water-stable soil aggregates (WSA), followed by the RS, CD, and VC. The WSA in smaller-sized soil aggregates were found to be higher than those in larger-sized soil aggregates. VC was found to be the most effective in terms of C sequestration (29%), followed by PM (26%), CD (22%), and RS (20%). The highest EUE was attributed to the control treatment (9.77), followed by the CD (8.67), VC (8.04), RS (2.10), and PM (1.18), which showed energy wastage in the organic treatments. The system productivity (SP) followed the opposite trend of the EUE. The INM is a better approach to improve the soil health, the C sequestration, and the SP, but it appeared as an energy-inefficient strategy, which suggests that a balanced application of organic and inorganic nutrients is needed in order to achieve yield sustainability and EUE.

Screening out the Early Matured ‘Boro Rice’ Genotype for Bangladesh Condition Based on their Physico-chemical Characteristics and Yields

In Bangladesh conditions, the end of the Boro season begins floods and natural calamities and loses more rice in farmer's fields. If we can select early maturity genotypes for the Boro season, we can harvest our rice from the farmer's field before flooding or any other natural calamities. The study attempted to determine the short duration and high yielding rice genotype for Boro season in Bangladesh amongst the 13 Boro rice F6 lines by contrast with two (2) test varieties. Keeping in view this idea, the output of the genotypes studied, the relationship between different morpho-physio-chemical and yield-contributing characteristics between all the genotypes were investigated there under field and laboratory conditions. Among these 15 lines, G11 line showed better in the most yield contributing parameters. It is therefore concluded that the G11 genotype will be considered an appropriate line for the Boro season in Bangladesh.

Potential methane emission reduction strategies from rice cultivation systems in Bangladesh: A critical synthesis with global meta-data

Methane (CH4) is one of the dominant greenhouse gases (GHG) that is largely emitted from rice fields and thus, significantly contributes to global warming. Significant efforts have been made to find out suitable strategies to mitigate CH4 emission from rice culture. However, the effectiveness of these management practices is often diverse with negative, no, or positive impacts making it difficult to adopt under a particular condition. The diversity of rice cultivation in terms of agro-climatic conditions and cultivation practices makes it difficult for providing specific recommendations. Here, we collected data from a total of 198 studies reporting 1052 observations. The management practices are categorized into five different management practices i.e., water, organic and inorganic fertilizer management, crop establishment method, and agronomic practices while major categories were subdivided into different classes. To test statistically significant differences in the effectiveness between major management practices, an analysis of variance (ANOVA) was applied. The Gaussian and bootstrapping model were applied to find out the best estimate of the effectiveness of each practice. In addition, mechanisms controlling the CH4 emission reductions were synthesized. Next, the adoption potentials of these practices were assessed based on the existing rice cultivation systems in Bangladesh. Our results showed that water and organic matter management were the most effective methods irrespective of the growing conditions. When these technologies are customized to Bangladesh, water management and crop establishment methods seem most feasible. Among the rice-growing seasons in Bangladesh, there is a larger scope to adopt these management practices in the Boro season (December to May), while these scopes are minimal in the other two seasons due to their rain-fed nature of cultivation. Altogether, our study provides fundamental insights on CH4 reductions strategies from rice fields in Bangladesh.