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All Journal Journal of Tropical Crop Science
Monshi, Mahadi Hasan
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Agriculture, Biological Sciences & Forestry

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Modeling of Climate Change Prediction and its Impact on the Tea Production in Sylhet District, Bangladesh Begum, Nipa; Alam, Masud; Mazumde, Md. Shah Jahan; Mim, Monira Rahman; Monshi, Mahadi Hasan
Journal of Tropical Crop Science Vol. 11 No. 02 (2024): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.11.02.105-119

Abstract

Climate change, one of the most pressing issues, poses the greatest threat to human existence on our planet ever understanding the underlying structure, function and forecasting the future behavior has become considerable apparatus in numerous applications like metrological phenomena and production pattern of any observations. This study was conducted to model and forecast micro climatic variables in Sylhet district. The weather data for humidity, maximum temperature, minimum temperature, light duration, wind speed and monthly rainfall for the period 2005 to 2017 in Moulvibazar and Sylhet was collected for this study. Using Box-Jekins methodology, seasonal ARIMA model has been applied and models have also been verified. The best models were selected mainly based on AIC criterion. The best fitted SARIMA models for in Moulvibazar for humidity, maximum temperature, minimum temperature, light duration, wind speed and rainfall are ARIMA(1,0,1)(2,1,0)[12], ARIMA(1,0,0)(2,0,0)[12], ARIMA(2,0,1)(2,1,0)[12], ARIMA(1,1,1)(1,0,0)[12], ARIMA(4,0,1)(2,1,0)[12] and ARIMA(2,0,3)(1,1,2)[12] and in Sylhet ARIMA(0,0,1)(1,1,0)[12], ARIMA(0,0,0)(2,0,0)[12], ARIMA(0,0,0)(2,0,0)[12], ARIMA(0,1,2(2,0,0)[12], ARIMA(3,0,1)(1,0,0)[12] and ARIMA(1,0,0)(2,1,1) [12], respectively. This model can help to predict the climatic condition earlier, which could enhance the estimation of tea production in the next preceding years.
Evaluation of Growth Performance and Economic Return Analysis of Bathua (Chenopodium album) Genotypes Momin, Md. Abdul; Islam, A.F.M. Saiful; Uddin, Md. Sharaf; Alom, Jahirul; Monshi, Mahadi Hasan
Journal of Tropical Crop Science Vol. 10 No. 03 (2023): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.10.03.166-175

Abstract

Bathua (Chenopodium album), a fast-growing weedy annual plant under the genus Chenopodium, is valuable for its high nutritional, medicinal and economic values as a leafy vegetable. The present study was carried out to evaluate the growth performance and economic returns of bathua genotypes in acid soil at Sylhet, Bangladesh. The experiment was laid out in a randomized complete block design with three replications. Morphological and growth parameters were recorded at the final harvest. The maximum plant height, number of branches per plant, fresh weight of inflorescence and leaf length were recorded in local bathua 1(110.5 cm, 65.33, and 8.93 g, respectively). The maximum fresh weight of leaves per plant, the maximum dry weight of leaves per plant were recorded in local bathua 2 (39.92 g and 8.79 g respectively). Results revealed that the studied morphological parameters including plant height, fresh and dry weight of leaves per plant, fresh and dry weight of stem per plant, fresh and dry weight of inflorescence per plant, stem base diameter, number of leaves per plant, number of branches per plant and leaf length influences the foliage yield of bathua. The highest foliage yield (9.20 t.ha-1), total gross return (Tk.552000.ha-1), net return (Tk.367000.ha-1) and BCR (2.98) were found in local bathua 1. From the findings of the present study, local bathua 1 could achieve higher productivity and profitability in acid soils of Sylhet, Bangladesh.
Co-Authors Alam, Masud Alom, Jahirul Begum, Nipa Islam, A.F.M. Saiful Mazumde, Md. Shah Jahan Mim, Monira Rahman Momin, Md. Abdul Uddin, Md. Sharaf