Mohammad Monirul Hasan Tipu

Bio: Mohammad Monirul Hasan Tipu is an academic researcher from Bangladesh Agricultural Research Institute. The author has contributed to research in topics: Biology & Entomology. The author has an hindex of 3, co-authored 14 publications receiving 17 citations. Previous affiliations of Mohammad Monirul Hasan Tipu include Bangladesh Agricultural University.

Rice and food security: Climate change implications and the future prospects for nutritional security

Abstract: Environmental stresses including salinity, drought, cold, warmer temperatures, alterations in precipitation patterns, fluctuations of weather events, and increasing insect and disease infestations negatively affect crop production and nutritional values. This situation becomes further complicated due to the changing climatic conditions, thus raising concern about food security worldwide. Some worst-case projections indicated that by 2100, CO2 concentrations will reach 950 parts per million, temperatures will climb by 3.5 to more than 8°C, sea level will rise by more than 2.4 meters, and the average farmland drought risk index will increase from 52.45 to 129. In addition, average precipitation will increase by 1%–3% in some areas and atmospheric water vapor will increase by 6%–7% for every degree of temperature rise. Rice (Oryza sativa L.) is a staple crop in many parts of the world. The main objective of this review is to highlight the prospects of rice for future climatic conditions. The present review depicts the advantages and prospects of rice and addresses why rice is a better option as a cereal crop for the future situations for food and nutritional sustainability. The impact of climate change on food and nutritional security can be mitigated by developing biotic and abiotic stress-tolerant and biofortified rice varieties. These rice cultivars can withstand the negative effects of climate change while also meeting the nutritional needs of future generations. Furthermore, this review underlines the forthcoming issues and measures that should be addressed to assure a sustainable food and nutritional supply in the era of global climate change.

Dry Matter, Starch Content, Reducing Sugar, Color and Crispiness Are Key Parameters of Potatoes Required for Chip Processing

Abstract: To make potato production more sustainable for smallholder farmers, product diversification through processing is critical. On the other hand, the processing sector mandated some stringent standards in order to maintain product quality, hence potato quality evaluations are required for chip processing industries. Specific gravity, starch, reducing sugars, tuber dry matter, and chip color are all important characteristics to consider for processing. This study was designed to find suitable potato varieties with satisfactory attributes for processing chips, in comparison with other processing potato varieties. Keeping this in mind, the study was performed during the winter season of 2019–2020 and 2020–2021 in Bangladesh. Six processing types of potato varieties viz. BARI Alu-25 (Asterix), BARI Alu-28 (Lady Rosetta), BARI Alu-29 (Courage), BARI Alu-68 (Atlantic), BARI Alu-70 (Destiny), and BARI Alu-71 (Dolly) were evaluated for different quality parameters (specific gravity, dry matter, starch content, reducing sugar, chip color, and crispiness). The result of the study showed an ample variation in the studied parameters among the potato varieties. Among the varieties, BARI Alu-28 (Lady Rosetta) and BARI Alu-29 (Courage) were found better for all the quality parameters, such as dry matter, starch, reducing sugar, chip color, and crispiness, and could be recommended for the processing industries.

Effects of Mulching on Yield and Quality of Tomato Varieties

Abstract: A field experiment was conducted at the Regional Agricultural Research Station, Hathazari, Chittagong to study the effect of different mulch materials on the yield and quality of tomato. rice husk mulch was found superior to sawdust, garden leaves and black polyethylene mulch in producing higher yield of tomato. Higher number of fruits per plant and maximum yield was recorded with rice husk which was 17.93% higher than the control (without mulch). BARI Tomato 14 in combination with rice husk produced highest yield (79.74 t/ha) highest TSS (6.67). Keywords: Mulching, rice husk, tomato and TSS

Exploring the Potential and Performance of the Oilseed Mustard Variety Binasharisha-9 in Some Selected Areas of Bangladesh

Abstract: The study aimed to identify the profitability of mustard variety and was conducted in three Binasarisha-9 growing areas of Bangladesh, namely Mymensingh, Sherpur and Ranpur district. In total, data were collected from randomly selected 180 farmers, 60 farmers from each area. Survey was conducted in sadar, Gouripur and Nalitabari Upazila of Rangpur, Mymensingh, and Sherpur district, respectively. From each areas 30 farmers was adopters and 30 was non-adopters. In the Original Research Article Sultana et al.; AJAEES, 38(9): 48-57, 2020; Article no.AJAEES.60745 49 sampled areas data were collected through pre-designed interview schedule from January-March, 2019. Tabular, descriptive statistics and logit model were used to fulfill objectives.The study ascertains that mustard production is profitable. The average per hector net return was Tk. 22278.34 and profitability ratio was 1.50. Thirteen explanatory variables were performed in logit regression analysis in this study. The result of logit regression model shows that experience of household head, farm size, annual income, yield, training, and extension contact were found as positively significant and earning person, duration and weather were found as negatively significant variables in explaining the variation in Binasarisha-9 adoption of farm households. The major constraints were: About 20% mentioned about lack of training facilities and was top ranked followed by quality seed in timely (13.33%), infestation of disease (11.11%), and other (9.99%) were found among the mustard growers.

Farm size and the diffusion of green revolution technology ; On information and innovation diffusion : a bayesian approach

Abstract: Learning and information accumulation are hypothesized to play a major role in innovation diffusion. For instance, Hiebert argues that the probability distributions of new (and unfamiliar) technological parameters, as perceived by farmers, will shift over time due to learning and experience. Probabilities will be redistributed from lower to higher payoffs. This induces farmers to increase their use of the innovation, which was new seed varieties in the Hiebert model. The model presented by Kislev and ShchoriBachrach introduces in the new technology production function an efficiency factor which is positively related to learning. It is approximated by the cumulative (over time) output produced with the innovative technology. As learning increases, the innovation becomes advantageous for more and more producers who then adopt it. In a similar vein, Feder and O'Mara construct a diffusion process where uncertainty about an innovation (high-yielding varieties [HYV]) depends on cumulative area allocated to HYV. This represents experience. With the accumulation of experience, uncertainty declines, and the innovation is adopted by an increasing proportion of producers. These models produce sensible (and empirically valid) hypotheses about the dynamics of innovation diffusion. However, the accumulation of information, which is the basic driving element in these models, is not treated explicitly. Thus, the use of cumulative output, or a cumulative input as an index of learning, while plausible, still requires formal justification. One possibility is a Bayesian learning process. Indeed, the work by O'Mara (1971, 1981) and more recently by Lindner, Fischer, and Pardey have utilized Bayes theorem to characterize an individual farmer's adoption behavior.

Introductory Econometrics With Applications

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Phytogenic Selenium Nanoparticles Elicited the Physiological, Biochemical, and Antioxidant Defense System Amelioration of Huanglongbing-Infected ‘Kinnow’ Mandarin Plants

Abstract: Citrus greening or huanglongbing (HLB) is commonly known as yellow dragon disease and affects citrus production worldwide. Therefore, it has a significant impact on and deleterious effects in the agro-industrial sector. Significant efforts have been made to combat this disease and mitigate its destructive impact on citrus production, but still, there is no effective biocompatible treatment available to control HLB disorder. This study is considered the first biocompatible approach to evaluate the potential of phytogenic selenium nanoparticles (SeNPs) to improve the health of HLB-infected ‘Kinnow’ mandarin plants. Polymerase chain reactions (PCRs) with specific primers were used to detect HLB disease in ‘Kinnow’ mandarin plants, and PCR products were sequenced to identify Candidatus Liberibacter asiaticus (CLas), and accession numbers for CLas1 and CLas2, MZ851933 and MZ851934, respectively, were obtained. SeNPs were synthesized by using Allium sativum L. clove extract as a reducing, capping, and stabilizing agent and various techniques such as UV-visible spectrophotometry, energy dispersive X-rays, scanning electron microscopy (SEM), Fourier transformed infrared spectroscopy (FTIR), and X-ray diffraction analysis (XRD) were used to confirm the biogenesis of SeNPs. Different concentrations of SeNPs (25, 50, 75, and 100 mg L−1) were exogenously applied to HLB-infected ‘Kinnow’ mandarin plants and obtained spectacular results. The obtained results from the current study proved that 75 mg L−1 of SeNPs was most effective to improve the chlorophyll, carotenoids, relative water content (RWC), membrane stability index (MSI), total soluble sugar (TSS), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), total flavonoid content (TFC), and total phenolic content (TPC) and significant decrease was observed in hydrogen peroxide (H2O2), malondialdehyde (MDA), and proline (PRO) contents of HLB-infected ‘Kinnow’ mandarin plants as compared to untreated diseased citrus plants. In conclusion, these results allow us to synthesize the SeNPs formulation as a promising management strategy to treat the HLB disease in citrus plants.