http://localhost:8080/handle/123456789/5282 2026-04-08T14:49:10Z 2026-04-08T14:49:10Z MITHU, MD. MEHEDI HASAN http://localhost:8080/handle/123456789/5298 2025-06-23T06:29:33Z 2022-01-01T00:00:00Z

EFFECT OF GREEN LEAF BIOMASS OF AGROFORESTRY TREE SPECIES ON TOMATO (Solanum lycopersicum L.) CULTIVATION MITHU, MD. MEHEDI HASAN The status of soil organic matter in Bangladesh is extremely low. To improve the amount of soil organic matter, it is required to explore the best organic amendment for better crop production. Thus, a field experiment was conducted in the Agroforestry Field Laboratory, Sher-e-Bangla Agricultural University, Dhaka during the period from May to October 2020 to find out the response of different leaf biomass application on growth and yield of tomato cv. BARI Hybrid tomato 8. Ten experimental treatments such as T 1 -Control, Recommended dose of fertilizer (RFD), T 2 = ½ RFD, T 3 = Moringa leaf biomass at 10 g/kg soil, T 4 = Moringa leaf biomass 10 g/kg soil + ½ RFD, T 5 = Moringa leaf biomass 5 g/kg soil, T 6 = Moringa leaf biomass 5 g/kg soil + ½ RFD, T 7 = Ipil-ipil leaf biomass 10 g/kg soil, T 8 = Ipil-ipil leaf biomass 10 g/kg soil + ½ RFD, T 9 = Ipil-ipil leaf biomass 5 g/kg soil, T 10 = Ipil-ipil leaf biomass 5 g/kg soil + ½ RFD were imposed in this study. The experiment was conducted in a Completely Randomized Design (CRD) with three replications. Results showed that green leaf biomass together with ½ RFD substantially or slightly increased the growth and yield of tomato plant in contrast to ½ RFD and RFD treatment. The lowest growth and yield is obtained from the ½ RFD. The highest yield per plant (1.89 kg) was obtained from T 6 (Moringa leaf biomass 5 g/kg soil + ½ RFD) followed by T 8 (Ipil-ipil leaf biomass 10 g/kg soil + ½ RFD). Among the green leaf biomass treatment, moringa gave better results than the ipil-ipil. Therefore, this study suggests that the combined application of green leaf biomass of moringa or ipilipil with ½ RFD may be used in tomato cultivation. 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 SCIENCE

2022-01-01T00:00:00Z RASHID, MD. HARUN OR http://localhost:8080/handle/123456789/5297 2025-06-23T06:27:36Z 2022-01-01T00:00:00Z

ESTIMATION OF TREE DIVERSITY AND CARBON STOCK AT THAKURGAON SADAR OF THAKURGAON DISTRICT MD. HARUN OR RASHID RASHID, MD. HARUN OR The study was conducted in Thakurgaon sadar upazila of Thakurgaon district. Five villages namely Paharbhanga, Bhelajan, Palli-Bidyut Bazar, Jamalpur and Akhanagar were selected. Among randomly selected 60 homesteads, tree diversity per homestead ranged from 0 to 2.37 using Shannon Wiener index. Twenty-one (21) different tree species under 15 families were identified, among them Betel nut (Areca catechu) was the most dominating species and the least dominating species was Tetul (Tamarindus indica). Among small, medium and large home garden categories, the highest mean tree density ha 1 (355.76) was observed from large home garden which showed the maximum mean basal area (161.82 m 2 ha -1 ), mean tree carbon (100.61 Mg ha -1 ), SOC (28.02 Mg ha ) and tree C + soil C stock (181.13 Mg ha -1 ) compared to medium and small homesteads. Among the selected areas, the large farmers had the highest daily income from homesteads (Tk. 79.37) followed by medium and small homesteads. Therefore, the results of the study confirmed that the selected areas can serve as a valuable ecological means in terms of carbon stock. 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 SCIENCE

2022-01-01T00:00:00Z RANA, MD. MASUM http://localhost:8080/handle/123456789/5296 2025-06-23T06:26:02Z 2022-01-01T00:00:00Z

MORPHO-PHYSIOLOGICAL RESPONSES OF Moringa oleifera SEEDLINGS IN RESPONSE TO SALT STRESS RANA, MD. MASUM Salt stress, resulting from increased soil salinity, poses a significant threat to agricultural productivity worldwide, including the growth and development of moringa plants. Understanding the responses of moringa to salt stress is crucial for developing effective strategies to mitigate the negative effects and improve plant resilience. A polybag experiment was conducted at the agroforestry farm of Sher-e-Bangla Agricultural University, Dhaka during May 2022 to August 2022 to examine the establishment of Moringa seedling under salt stress. This was a single factor experiment: Salinity. The factor had six (6) different levels of salinity i.e. T 0 ii = 0 ds m -1 , T 1 = 3 dsm , T 3 = 9 ds m -1 , T 4 = 12 ds m -1 , and T 5 = 15 ds m -1 . The experiment was laid out on Completely Randomized Design (CRD) with six replications. Our results revealed that T 0 showed the best performance regarding germination percentage (93.33%), plant height (68.70 cm), number of leaves plant -1 (262.70), shoot length (56.5 cm), root length (12.20 cm), total fresh weight (14.84 g), shoot fresh weight (9.10), root fresh weight (5.7), total dry weight (2.10 g), shoot dry weight (1.46 g) and root dry weight (0.64 g). On the other hand, the least performance regarding germination percentage (0%) from T 5 . The growth performance was decreased with the increasing levels of salinity; (T 1 -1 >T 2 ) which further affect seed germination and seedling establishment of Moringa oleifera. 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 SCIENCE

2022-01-01T00:00:00Z PROKASH, JOY http://localhost:8080/handle/123456789/5295 2025-06-23T06:24:21Z 2022-01-01T00:00:00Z

A STUDY ON MANGROVE COVER DYNAMICS AND CLIMATIC VARIABILITY IN SUNDARBANS USING REMOTE SENSING AND MACHINE LEARNING PROKASH, JOY The 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. 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 SCIENCE

2022-01-01T00:00:00Z