Crop diversification in rice-based systems in the polders of Bangladesh: Yield stability, profitability, and associated risk

Assefa, Yared; Yadav, Sudhir; Mondal, Manoranjan K.; Bhattacharya, Jayanta; Parvin, Rokhsana; Sarker, Shilpi R.; Rahman, Mahabubur; Sutradhar, Asish; Prasad, P. V. Vara; Bhandari, Humnath; Shew, Aaron M.; Jagadish, S. V. Krishna

doi:10.1016/j.agsy.2020.102986

Cited by 39 publications

(27 citation statements)

References 43 publications

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“…The upper estuarine areas (e.g., Barishal district) are outside of polders, meaning they remain vulnerable to tidal flooding during the monsoon season [44]. Research focusing on the saline-prone south-western region of Bangladesh in the Khulna Division has shown that crop productivity, economic performance, and cropping intensity can be improved within polder compared to adjacent outside polder households [42,45,46]. However, in regions such as south-central Bangladesh with a reduced risk of salinization and more opportunity for increasing cropping intensity, differences in food production and economic outcomes between polder and non-polder households have been less thoroughly studied.…”

Section: Study Areamentioning

confidence: 99%

“…This is extremely challenging to achieve, but recent studies showed prospects to move closer to this goal by adopting new cropping patterns. Given higher dry season yields, particularly for boro rice, it has been estimated that maximizing cropping intensity could double overall crop production and profitability in Bangladesh [35,45,81]. Bhattarcharya et al (2019) demonstrated that annual productivity of 14-20 t ha -1 and gross income of USD 1200 ha -1 yr -1 could be achieved by intensifying the cropping system to 300%, along with improved varieties and best management practices [72].…”

Section: Off-farm Income As a Pathway Out Of Povertymentioning

confidence: 99%

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Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems

et al. 2021

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Large changes have taken place in smallholder farming systems in South Asia’s coastal areas in recent decades, particularly related to cropping intensity, input availability, climate risks, and off-farm activities. However, few studies have investigated the extent to which these changes have impacted farm-level crop productivity, which is a key driver of food security and poverty in rainfed, low-input, rice-based systems. The objective of this study was to conduct an integrated assessment of variables related to socioeconomic status, farm characteristics, and crop management practices to understand the major factors influencing crop productivity and identify promising leverage points for sustainable development in coastal Bangladesh. Using a panel survey dataset of 32 variables from 502 farm households located within polder (coastal embankment) and outside polder systems during 2005–2015, we employed statistical factor analysis to characterize five independent latent factors named here as Farming Challenges, Economic Status, Crop Management Practices, Asset Endowment, and Farm Characteristics. The factor Farming Challenges explained the most variation among households (31%), with decreases observed over time, specifically households located outside polders. Individual variables contributing to this factor included perceived cyclone severity, household distance to main roads and input-output markets, cropping intensity, and access to extension services. The most important factors for increasing crop productivity on a household and per unit area basis were Asset Endowment and Crop Management Practices, respectively. The former highlights the need for increasing gross cropped area, which can be achieved through greater cropping intensity, while the latter was associated with increased fertilizer, labor, and pesticide input use. Despite the importance of these factors, household poverty trajectory maps showed that changes in off-farm income had played the strongest role in improving livelihoods in this coastal area. This study can help inform development efforts and policies for boosting farm-level crop productivity, specifically through agricultural intensification (higher cropping intensity combined with appropriate and efficient use of inputs) and expanding opportunities for off-farm income as key pathways to bring smallholder households out of poverty.

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Section: Study Areamentioning

confidence: 99%

Section: Off-farm Income As a Pathway Out Of Povertymentioning

confidence: 99%

Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems

et al. 2021

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“…Notably, the yield gap remains an issue in Bangladesh (Mondal, 2011;Khan et al, 2013). Averaged over -2019, Assefa et al (2021 estimated the yield gap within improved varieties at around 30%. While farmers may adopt improved varieties, believing that the choice would result in better prospect, in reality, the actual yield may be much less than the yield potential considering heterogeneity in research plots and farmers' plots.…”

Section: The Study Areamentioning

confidence: 99%

Rice varietal selection in Bangladesh: Does it matter who in the farm household makes the decisions?

Begho

2021

Ex. Agric.

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This paper examines whether rice adoption decision differs between sole decision-making and collaborative decision-making in which household members jointly decide on rice varietal selection. Overall, the results show that the majority of rice farmers currently cultivate older rice varieties. The average varietal age is 22 years. Adopters and non-adopters are significantly different in several observed characteristics; however, most of the differences are small. Specifically, between adopter and non-adopters, there is a statistically significant difference in the average varietal age of rice grown, the number of plots owned, varietal trait preferences, seed sources, contact with agricultural extension agents and risk preference. The results of the double-hurdle regression estimation are unconvincing for a difference between household decision-making structures, indicating that it does not matter who in the farm household makes the decisions on rice varietal selection. To encourage the adoption of improved rice varieties and reduce the average varietal age, the focus should be on improving access to agricultural land and extension contact. Besides, aligning varietal trait with farmers’ preferences and organising farm demonstrations is crucial.

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“…Another probable cause may be the diversification of agriculture. Now, due to high demand, different types of agriculture in different seasons have been introduced in this area (Assefa et al, 2021;Hoque, 2001;Mahmud et al, 1994). Therefore, plantation and harvesting time differs with the times which could bring changes in reflectance of the different date images.…”

Section: Spatiotemporal Evaluation Of Lcmentioning

confidence: 99%

Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: A case study of Jobai Beel Area, Bangladesh

Haider¹

2021

Int. j. adv. appl. sci.

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This study aims to evaluate the spatiotemporal change of land cover (LC) and surface temperature of the Jobai Beel area, an exclusive agriculture zone, situated in the far-flung area of northwest Bangladesh using satellite data. Multi-temporal Landsat series of data from 1989 to 2020 and geospatial techniques have been employed to evaluate the LC change and land surface temperature (LST) variation. Different spectral indices such as NDVI, MNDWI, NDBal have been used to retrieve individual LC. Corresponding LST has also been extracted using the thermal bands. Supervised Classification and the post-classification change detection technique were employed to determine the temporal changes and validate the individual LC. The results were employed to assess the LST variation associated with LC changes. The results reveal that the area had undergone a drastic and inconsistent heterogeneous LC transformation during the study period. Water and vegetation areas have expanded at a rate of 0.24km2/year and 0.45km2/year respectively, while bare lands have shrunk at a rate of 0.70km2/year. In general, Bare land exhibits a significant positive correlation, when Vegetation areas show a significant negative correlation with LST. However, the correlation between water areas and LST was found statistically insignificant. Agriculture in the form of vegetation has been found the most dominating land cover character throughout the study period, which has been regulating the LST variation across the area.

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Crop diversification in rice-based systems in the polders of Bangladesh: Yield stability, profitability, and associated risk

Cited by 39 publications

References 43 publications

Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems

Factors contributing to farm-level productivity and household income generation in coastal Bangladesh’s rice-based farming systems

Rice varietal selection in Bangladesh: Does it matter who in the farm household makes the decisions?

Evaluation of spatiotemporal dynamics of land cover and land surface temperature using spectral indices and supervised classification: A case study of Jobai Beel Area, Bangladesh

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