A study was conducted in the laboratory of the Department of Seed Pathology, Sher-e-Bangla Agricultural University, Bangladesh during July 2013 to June 2014 to determine the effects of different storage containers and durations of storage on the quality of okra (Abelmoschus esculentus) seeds and seedling growth. After harvest, seeds were stored in earthen pots, plastic pots, plastic bags, gunny bags with and without polyethylene lining for the periods of 4, 8, and 12 months. The seeds stored in plastic container showed the lowest moisture content (8.03%) at 4 months of storage and those stored in gunny bag showed the maximum moisture content (17.63%) at 12 months of storage. Percentage of seeds infested with fungi was minimum in plastic container, where the prevalence of Fusarium spp., Chaetomium globosum, Aspergillus flavus, Aspergillus niger, Rhizopus stolonifer and Curvularia spp. were 1.47, 8.03, 3.31, 3.31, 2.57 and 3.53%, respectively at 4 months of storage. Prevalence of fungi was maximum in seeds stored in gunny bag where the prevalence of Fusarium spp., Chaetomium globosum, Aspergillus flavus, Aspergillus niger, Rhizopus stolonifer and Curvularia spp. were 4.87, 17.63, 4.41, 5.97, 84.86 and 5.19%, respectively at 12 months of storage. In contrast, treated seeds stored in plastic container showed the maximum germination (94.74%), longest shoot (20.76 cm) and root (11.52 cm), highest seed vigor index (3087.00), highest weight of dry seedlings (55.60 g) at 4 months of storage. However, seeds stored in gunny bag showed the lowest seed germination (45.08%), shoot length (11.49 cm), root length (6.34 cm), seedling vigor index (838.10), dry weight of seedlings (33.40 g) and field emergence (37.36%) at 12 months of storage. Plastic containers appeared to be the best for storage of okra seeds.The Agriculturists 2016; 14(1) 63-72
There are persistent rumors about counterfeit money all across the world. There is a massive loop of producing counterfeit currency that is developing alongside technology. Counterfeit currency production has gotten easier and more advanced day by day, so the detection process has gotten more challenging. Utilizing a variety of user-friendly counterfeit detection tools or software is the only method to stop fraud. Many people still do not have access to these softwares or tools for detecting fakes. Therefore, some of these programs or tools are not accurate, dependable, and free. This paper describes a potential software solution for detecting fake Bangladeshi banknotes. The most important thing is that it is totally free of cost and usable by all average people. The primary purpose of this software is to identify different currencies and determine whether it is real or fake. In this paper, Convolutional Neural Network (CNN) and FLANN-based Matcher with the Scale-Invariant Feature Transform (SIFT) algorithms have been implemented in the deep learning process to recognize the currency and determine whether it is genuine or counterfeit, to make the entire process functional. 1, 2, 5, 10, 20, 50, 100, 200, 1000, and 5000 notes from Bangladesh have been used in this research. One of the most suitable methods to detect fake currency is color-changeable holographic thread, The Portrait of Bangabandhu Sheikh Mujibur Rahman and “Bangladesh Bank (in Bengali)” written on the level of intaglio ink, printed hidden below the middle of the note, “Amount in Bengali” at the right bottom of the note, Some parallel lines or objects of intaglio ink, and color changeable ink OVI and SPARK. Additionally, this procedure makes it possible to quickly identify fake money. To make the system quick and easy for everyone, the entire system has been developed into a mobile based and as well as a web-based application.
Aims: To survey and study morphological characterization of rice blast caused by Magnaporthe oryzae oryzae (MoO) that has become a major factor limiting rice yield throughout the world. Study Design: Complete Randomized Design (CRD). Place and Duration of Study: Mycology Laboratory, Department of Plant Pathology, Sher-e-Bangla Agricultural University, Dhaka from June 2018 to December 2019. Methodology: A survey was done in three northern districts of Bangladesh namely Gaibandha (Gobindogonj and Mohimagonj), Dinajpur (Birampur) and Bogura (Dupchanchia), disease incidence and severity was recorded and samples were collected. Five different media including Water Agar (WA), Potato Dextrose Agar (PDA), Potato Sucrose Agar (PSA), Rice flour Yeast Agar (RfYA) and Oat Meal Agar (OMA) were used to culture MoO. Colony characters like growth character, color, surface structure and shape of 28 MoO isolates were recorded in PDA. Results: Among the three surveyed districts, the highest incidence (84.26%) of blast was recorded from Gobindogonj with a severity score of 7. The highest severity score 9.00 (65%) of blast was recorded in Mohimagonj where blast incidence was only 29.12%. Among the five different growth media highest mycelia growth was observed in Oat Meal Agar (20 mm) and lowest in Water Agar (10mm) at 7 DAI. Colony color of all the isolates was whitish grey to blackish with sufficient growth and the average colony diameter was 50 mm. Conclusion: The results of the present study demonstrate that there is a certain level of morphological diversity such as mycelial growth rate and colony characters like color, surface structure and shape exists among isolates of MoO.
This study was conducted to develop pineapple candy prepared from fresh pineapple using 40, 50 and 60% sugar solution and then dried in solar drier. Acceptability of the product was also assessed. The thickness of pineapple slices were 0.5 and 1.0 cm. The pineapple slices were dipped into 40, 50 & 60% sugar solutions for overnight and then dried in solar drier. It was found that 0.5 cm thick of pineapple slices dried quickly than 1 cm thick slices. Sensory quality attributes of the prepared pineapple candy were analysed on the basis of colour, flvour, texture and overal acceptability using ANOVA test followed by DMRT test for identification of the best pineapple candy. Samples having 0.5 cm slice, osmosed in 60 % sugar solution and 0.5 cm slice, osmosed in 50% sugar solution were the preferred samples with respect to quality attributes and ranked as "like very much". The samples having 0.5 cm slice, osmosed in 60 % sugar solution was the most acceptable among candies prepared under the study.
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