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    IN VITRO EVALUATION OF TEBUCONAZOLE ON Magnaporthe oryzae triticum TO CONTROL BLAST OF WHEAT: IN PROCESSES OF REACTIVE OXYGEN SPECIES GENERATION AND ANTIOXIDANT DEFENSE RESPONSES

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    A Thesis Submitted to the Department of Plant Pathology, Sher-e-Bangla Agricultural University, Dhaka in partial fulfillment of the requirements or the degree of CAUSED BY Alternaria spp. MASTER OF SCIENCE (MS) IN PLANT PATHOLOGYBlast is an important disease of wheat that significantly reduces the plant growth and productivity. Proper management can ameliorate dysfunction in and improve the plant growth and productivity. Therefore, the present study was conducted to explore the protective role of the tebuconazole fungicide in helping wheat seedlings to tolerate blast disease. Ten-day-old hydroponically grown seedlings were allowed to inoculation of Magnaporthe oryzae triticum (MoT) spore suspension and with the tebuconazole fungicides (0.3 g L −1 ) for the next six days. The inoculation of MoT spore suspension deteriorated the growth of the wheat seedlings by increasing the number of infected plant and leaf lesions. Among the varieties, lower blast symptom was observed in BARI Gom 33 (V2P) compared to BARI Gom 26 (V1P). The malondialdehyde (MDA) content increased by 102.80 and 163.96% in BARI Gom 26 and BARI Gom 33, respectively compared to control. Shoot and root electrolyte leakage also increased by MoT inoculation. Therefore, the level of H also increased that observed in histochemical detection. The infection of blast disease, relative water content decreased by 50.18 and 51.26% in BARI Gom 26 and BARI Gom 33, respectively compared to control plant. Photosynthetic pigment such as Chl a, Chl b, Chl (a+b), and carotenoid contents also reduced by blast infection. Thus the growth and biomass of wheat seedlings were decreased. However, tebuconazole fungicide reduced the oxidative damage by reducing MDA, electrolyte leakage, H 2 O 2 and O 2 •− production. Therefore, improved relative water content and photosynthetic pigments as well as improved the growth and biomass of wheat seedlings. These results indicate the exogenous application of tebuconazole fungicide is a promising approach to improve blast tolerance in wheat plants. Further investigation is needed under field conditions to determine the blast-tolerance induced by tebuconazole fungicide applicatio

    SOCIO ECONOMIC ASPECTS OF GINGER CULTIVATION IN SOME SELECTED AREAS OF NILPHAMARI DISTRICT OF BANGLADESH

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    A thesis submitted to the department of Agricultural Economics, Sher-e-Bangla Agricultural University, Dhaka, in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN AGRICULTURAL ECONOMICSThe study was aimed to assess the cost, return, and profitability of ginger farming in specific districts of Bangladesh. It has potential to be marketed both domestically and internationally. Bangladesh's Nilphamari district makes a major contribution to the nation's overall production of ginger. In this region, the climate and land composition are suitable for ginger growth. The aim of this study is to explore the performance of ginger cultivating in this district and to identify the challenges and prospects of ginger cultivation .This research made use of primary data. The study indicates that the gross margin, net return, and return per hectare were found to be Tk.738038.76, Tk.568259.09, and Tk.1053910.6 respectively. Necessary descriptive and statistical analyses are done to achieve the objectives. The Cobb-Douglas production function was used to assess the impacts of various inputs on ginger cultivation, and the undiscounted benefit-cost ratio for ginger cultivation was 2.17 in this study. The result found that ginger cultivation was profitable. According to the Cobb-Douglas production function, ginger production has a decreasing return to scale. The model's co-efficient of multiple determination R was 0.40 for ginger cultivation, indicating that the explanatory variables included in the model explained approximately 40% of the variation in gross return .Farmers in the research region stated that challenges such as the occurrence of root rot disease, high seed prices, insect infestation, and so on are major problems for their production and require the attention of the appropriate authority to solve

    CLIMATIC HAZARDS AND CLIMATE SMART AGRICULTURAL PRACTICES IN SOUTHERN PART OF BANGLADESH

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    A Thesis Submitted to the Faculty of Agriculture Sher-e-Bangla Agricultural University, Dhaka in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN AGROFORESTRY AND ENVIRONMENTAL SCIENCEDue to its geographic location and geomorphic characteristics, Bangladesh is extremely vulnerable to climate change and natural catastrophes. The purpose of this study was to identify the climate hazards, the present state of use of Climate Smart Agriculture (CSA) Technology, and the benefits of using such technology in the southern part of Bangladesh. A survey was conducted in 2021 at Taltoli upazila of Barguna district and Kalapara upazila of Patuakhali district among 120 farmers. From the survey, it was found that about 75 percent of the respondents understand about climate-smart agriculture. Adaptive strategies were ranked by calculating a dependent variable named adaptation strategy index (ASI). Saline-tolerant crop varieties, Sunflower cultivation and watermelon cultivation were the highest-ranked strategies. Survey results showed that farmers obtained various social, economic, technical and psychological benefits from CSA practices. The results also indicate that lack of irrigation water ranked first and seems to be the most severe problem for the farmers followed by inadequate provision of sluice gates. Farmer's CSA technology adaptation has been calculated using a Nobel index named CSAT (CSA Technology Index). A statistical analysis of data showed that educational status, number of earning family members and income of the farmer had significant influence on the farmer's ability to adopt CSA practices

    MORPHOLOGICAL VARIATION AND MOLECULAR CHARACTERIZATION OF Magnaporthe oryzae AND SCREENING RICE GERMPLASMS AGAINST RICE BLAST

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    Abstract Experiments were conducted at Mycology Laboratory, Department of Plant Pathology, Sher-e-Bangla Agricultural University, Dhaka from July 2018 to June 2021 to study morphological and molecular characterization of rice blast pathogen Magnaporthe oryzae (Mo) that has become a major factor limiting rice yield throughout the world. Initially survey was done in twenty (20) rice growing districts of Bangladesh and rice blast samples (infected leaf, neck and node) were collected. Five different media including Water Agar (WA), Potato Dextrose Agar (PDA), Potato Sucrose Agar (PSA), Rice flour Yeast Agar (RN A) and Oat Meal Agar (OMA) were used to compare growth of Mo. Colony characters like growth character, color, surface structure and shape of 100 Mo isolates were recorded in OMA. Isolates were pathogenic to US2 and BRRI Dhan 28. In molecular identification (ITS rDNA gene) PCR using primer pairs ITS I/ITS4 yielded approximately 600 bp band of amplification product for representative isolates of Magnaporthe. Among the five different growth media highest mycelia growth rate was observed in OMA and lowest in WA. Colony color of all the isolates was whitish, greenish, brownish, white gray, light brown etc. Six (6) resistant germplasms were screened against Mo and would be useful in future rice blast resistant variety development program. Keywords: variation, Magnaporthe oryzae oryzae, screening, rice genotype, resistant, blas

    PERFORMANCE OF SEAWEED ON GROWTH AND YIELD OF RED CABBAGE BY REDUCING PHOSPHORUS FERTILIZER

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    A Thesis Submitted to Department of Entomology, Faculty of Agriculture. Sher-e-Bangla Agricultural University, Dhaka- In partial fulfillment of the requirements for the degree of MASTERS OF SCIENCE (MS) IN DEPARTMENT OF HORTICULTUREThe experiment was carried out at the Horticulture Farm of Sher -e-Bangla Agricultural University, Dhaka, Bangladesh during the period from October 2021 to March 2022. The experiment consisted of two factors. Factor A: Three seaweed treatment viz. S 0 (control; water), S 1 (seaweed extract 2 ml/L) and S 2 (seaweed extract 4 ml/L) and Factor B: Four phosphorus treatment viz. P 0 (control; 100% P), P 1 (90% P), P 2 (80% P) and P 3 (70% P). The experiment was laid out in Randomized Complete Block Design with three replications. Regarding combined effect of seaweed and inorganic fertilizer application, most of the studied parameters including growth, yield and yield contributing parameters were significantly influenced. In case of different levels of seaweed the highest (37.73 t ha -1 ) was found from the treatment S 2 (seaweed extract 4 ml/L) followed by S 1 (seaweed extract 2 ml/L) whereas the lowest marketable cabbage yield (36.82 t ha ) was obtained from the treatment S 0 (control; water). For different levels of phosphorus the highest marketable cabbage yield (39.38 t ha -1 ) was observed from the treatment P 2 (80% P) followed by P 1 (90% P) whereas the lowest marketable cabbage yield (31.44 t ha ) was achieved from the treatment P 3 (70% P). For the combined effect the highest yield of cabbage (42.20 t ha -1 ) was obtained from S 2 P 2 followed by S 1 P 1 and the lowest result (30.73 t ha -1 ) was found from the treatment combination of S 0 P 3 . In terms of economic analysis, the highest gross return (Tk. 506400.00), net return (Tk. 273700.00) and BCR (2.18) was obtained from S 2 P 2 followed by S 1 P 1 whereas the lowest gross return (Tk. 368760.00), net return (Tk. 140838.00) and BCR (1.62) was obtained from S 0 . So, it can be summarized that S 2 P 2 has given the maximum output in terms of benefit cost ratio (BCR) and this treatment combination was considered as the best compared to other treatment combinations

    FARMERS’ INNOVATIVENESS ON MODERN AGRICULTURAL MACHINERY IN NILPHAMARI SADAR UPAZILA

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    A Thesis Submitted to Department of Entomology, Faculty of Agriculture. Sher-e-Bangla Agricultural University, Dhaka- In partial fulfillment of the requirements for the degree of MASTERS OF SCIENCE (MS) IN AGRICULTURAL EXTENSION & INFORMATION SYSTEMIt is indeed true that agricultural mechanization is changing the face of farming across the world. Bangladesh is an agriculture based country. Mechanization is also upgrading the agriculture sector. Most of the people of our country is related with agriculture. But due to low knowledge on agricultural operation or modern agricultural machineries operation the farmer faced huge loss on crop production. That’s why the modern agricultural machineries need in agriculture sector to increase crop production. The main goal of the study was to evaluate the extent of innovativeness of the farmers on modern agricultural machinery. The study was conducted in the Nilphamari district’s Tupamari union of the sadar upazilla. From a revised list of 1021 farmers, 101 farmers were chosen as the sample. Between December 14, 2022 and January 15, 2023, data were gathered using pretested interview schedule. In order to obtain information simple and direct questions with different scales were used. In order to quantify innovativeness, a 5-point rating scale was constructed. Co-efficient of correlation(r) was computed to explore the relationship between the nine characteristics of the farmers and their innovativeness on modern agricultural machinery. Among nine characteristics Farm size, area under mechanization, annual family income, extension media contact had significant positive relationship with innovativeness on modern agricultural machinery. Age, education, family size, organizational participation however, did not significantly influence one another. About 6.9 percent and 12.9 percent farmers who had high and low high innovativeness on modern machineries, other hand 80.2 percent had medium innovativeness

    MITIGATION OF NICKEL STRESS IN RICE BY EXOGENOUS APPLICATION OF BIOCHAR AND CHITOSAN

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    A Thesis Submitted to The Department of Agronomy, Faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka, in partial fulfilment of the requirements for the degree of MASTERS OF SCIENCE (MS) IN AGRONOMYNickel (Ni) is considered as an essential micronutrient for plants, but it becomes phytotoxic at supra-optimal level which leads to inhibition of seed germination, growth and yield reduction as a response of physiological and biochemical dysfunction. Therefore, an experiment was conducted at the shed house of the Department of Agronomy, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh from December 2020 to April 2021 in order to investigate the morphological, physiological, and biochemical responses of rice (Oryza sativa L. cv. BRRI dhan96) upon exposure to different levels of Ni and to study the protective role of biochar (BC) and chitosan (CHT) in mitigating Ni stress. Twenty-one days after transplanting (DAT), rice seedlings were exposed to Ni stress by treating with 0.5, 1.0, and 2.0 mM NiSO 4 •6H 2 O for four times. Exogenous supplementation of BC (0.5 g kg −1 soil) was done once before seedling transplantation and the CHT (200 mg L ) was applied at seven-day intervals from 14 DAT to panicle initiation as foliar spray. The experiment was conducted in a completely randomized design with three replications and all the obtained data was subjected to one-way analysis of variance. Exposure to Ni stress exhibited a notable increase in hydrogen peroxide content, lipid peroxidation, and electrolyte leakage indicating Ni-mediated oxidative damages in the rice plants. Consequently, the Ni stressed plants showed a reduction of plant height, tillers hill –1 , leaf area, root fresh weight, shoot fresh weight, root dry weight, shoot dry weight, soil and plant analysis development value, and yield attributes in a dose dependent manner. The relative water content of the Ni treated plants also reduced with a concomitant increase in the proline accumulation. Supplementation with BC and CHT mitigated the deleterious effects of Ni toxicity in plants as reflected in enhanced growth and physiological attributes under different levels of Ni. Increase of ascorbate and glutathione with the concomitant reduction of dehydroascorbate and glutathione disulfide was observed when BC and CHT was supplemented in the Ni stressed plants. Moreover, the yield attributes such as effective tillers hill , panicle length, rachis panicle –1 , filled grains panicle –1 , and 1000-grain weight were also increased when BC and CHT were applied, thus the grain yield hill was increased under Ni stress. These findings indicated a protective role of BC and CHT against Niinduced damages by enhancing physiological and biochemical processes of rice

    USE OF IMPROVED PRACTICES IN MAIZE PRODUCTION

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    A Thesis Submitted to Department of Entomology, Faculty of Agriculture. Sher-e-Bangla Agricultural University, Dhaka- In partial fulfillment of the requirements for the degree of MASTERS OF SCIENCE (MS) IN AGRICULTURAL EXTENSION & INFORMATION SYSTEMThe objectives of this study were to describe the selected characteristics of the farmers; to determine the extent of use of improved practices in maize production and to explore the contributions of the selected characteristics of the farmers to their use of improved practices by the farmers’ in maize production. The study was conducted with randomly selected 106 maize cultivators in Alamdanga upazilla under Chuadanga. A pre-tested interview schedule was used to collect data from the respondents during January 20 to February 20, 2022. Use of improved practices in maize production was the dependent variable and its was measured on the basis of use practices. Ten selected characteristics of the respondents considered the independent variables of the study multiple regressions was used to examine the contribution of the selected characteristics of the respondents. The highest proportion (67.93 percent) of the farmers had medium use of improved practices and 14.15 percent and 17.92 percent farmers have high and low use of improved practices. Four characteristics of the respondent’s viz. farm size, annual family income, experience in maize production and extension media contact of the respondents had significant positive contribution to their use of improved practices. Therefore, it can be recommended that initiative should be taken by the DAE with the help of other relevant organizations to increase these facilities (significant factors) to improve the scenario regarding use of improved practices

    A STUDY ON MANGROVE COVER DYNAMICS AND CLIMATIC VARIABILITY IN SUNDARBANS USING REMOTE SENSING AND MACHINE LEARNING

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    A Thesis Submitted to the Faculty of Agriculture Sher-e-Bangla Agricultural University, Dhaka in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN AGROFORESTRY AND ENVIRONMENTAL SCIENCEThe dynamics of forest density of Sundarbans is crucial for Bangladesh. Climatic variability has a gigantic impact on this mangrove forest cover dynamicity. Changes in temperature, precipitation, and evapotranspiration patterns have been proposed as factors influencing changes in the composition and spatial distribution of mangrove species. To monitor this changing pattern of mangrove forest in Sundarbans and its climatic variability advanced techniques such as remote sensing and machine learning need to be applied. The main purpose of this research was to analyze the relationship between meteorological variables and dynamics of mangrove forest density mainly normalized difference vegetation index (NDVI) and to predict it based on this meteorological variable over the Sundarbans, using the last 30 years’ time period (1992 to 2021) data. To investigate the changing pattern, the overall 30 years were split into ten years as follows (i) 1992 to 2001, (ii) 2002 to 2011, and (iii) 2012 to 2021. Firstly, the 30-year Landsat satellite data was analyzed using the Google Earth engine to determine the changing nature of NDVI at Sundarbans; then, the meteorological variables changing nature were analyzed along with the NDVI to see the relationships among them. Finally, machine learning algorithms (Random Forest, Support Vector Machine with Radial Basis Function, and Support Vector Machine with Polynomial Function were used to predict the NDVI over Sundarbans using the relationships between NDVI and maximum & and minimum temperature, precipitation, and potential evapotranspiration. It has been found that the Random Forest model performs well for predicting the NDVI over Sundarbans as it has a lower mean squared and mean absolute error

    GENETIC VARIABILITY STUDIES IN MUSKMELON (Cucumis melo L.)

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    A Thesis Submitted to faculty of Agriculture Sher-e-Bangla Agricultural University, Dhaka In partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN GENETICS AND PLANT BREEDINGAn experiment was conducted at Sher-e-Bangla Agricultural University Dhaka, during Kharif I, 2020 using thirteen muskmelon (Cucumis melo L.) genotype to study the genetic variability among the genotype in a randomized complete block design with three replications. The analysis of variance revealed significant differences for various traits among genotypes. For all of the characters, phenotypic variance are greater than genotypic variance. The number of fruits per plant (47.73), single fruit weight (52.55), and yield plant per plant (90.40) all had high genotypic co-efficients of variation (GCV). High heritability with high genetic advance in percent of mean was observed in number of fruits per plant (86.05), single fruit weight (99.12), rind thickness (24.33) and yield plant per plant (93.47) which indicated that these traits would be effective for genetic improvement. High heritability with low genetic advance in percent of mean was observed in days to first male flowering (59.93) and days to first female flowering (60.15). The result revealed a highly significant positive correlation with plant height (rg= 0.615, rp= 0.541), number of branches per plant (rg= 0.698, rp= 0.530), number of fruits per plant (rg= 0.652, rp= 0.703), single fruit weight(rg= 0.854, rp= 0.778), rind thickness (rg= 0.579, rp= 0.517), and flash thickness (rg= 0.664, rp= 0.649) to yield per plant. Thirteen muskmelon genotypes were grouped into four cluster. Cluster III exhibited maximum 5 genotypes while cluster I had only 2 genotypes. Among four cluster, the highest inter-cluster distance (8.13) was observed between clusters II and IV, while the lowest (5.164) was observed between clusters I and III. Cluster IV had the highest intra cluster distance (3.144), while Cluster II had the lowest (0.874). Considering group distance and phenotypic performances, the inter genotypic crosses between G13 (BD-11268) and G11 (BD-11266); G13 and G12 (BD-11267); G13 and G2 (BD-11254); G12 and G11; G12 and G2; and G11 and G2 might be suggested for future hybridization program

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