Saleha Khatun Ripta
Research Subjects
Saleha Khatun Ripta has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- S. M. Kamran Ashraf
Department of Agroforestry, Bangladesh Agricultural University, Mymensingh, Bangladesh
4 shared publications - Kazi Kamrul Islam
Bangladesh Agricultural University
3 shared publications - Kimihiko Hyakumura
Institute of Tropical Agriculture, Kyushu University, Fukuoka, Japan
2 shared publications - Mst. Sohela Afroz
Department of Agroforestry, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
2 shared publications - S. M. Sanjida Tasnim Urmi
Department of Agroforestry, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
2 shared publications - Sumaiya Binte Rahman Asha
Department of Agroforestry, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
2 shared publications
Latest Publications
- Open Access
- 1 January 2026
- Published by Wiley in International Journal of Agronomy
- Vol. 2026 (1) , 5402450
Influence of Foliar Application of Boron and Humic Acid on Yield of Black Gram at Acid Soil of Moulvibazar
Black gram ( Vigna mungo L.) productivity in the acidic soils of northeastern Bangladesh is constrained by micronutrient deficiency and poor nutrient availability. However, evidence on the combined foliar use of boron and humic acid under such conditions remains limited. A field experiment was conducted at Moulvibazar using a split‐plot with four levels of boron and humic acid (0–2.0 g·L −1 ). Growth, phenological, yield, and biomass traits of black gram (BARI Mash‐3) were analyzed using linear mixed‐effects models, and correlation analyses. The results showed that boron and humic acid significantly improved growth and yield attributes, with strong interaction effects. Boron at 1.0 g·L −1 produced the highest 1000‐seed weight (55.76 g) and grain yield (1.48 t·ha −1 ), representing a yield increase of about 22% over the control. Humic acid at 1.0 g·L −1 enhanced plant height (36.0 cm), seed weight (53.43 g), and yield (1.35 t·ha −1 ). The combined treatment B 3 × H 3 resulted in superior performance, recording the maximum grain yield (up to 1.63 t·ha −1 in the first cycle) and biomass yield (2.45 t·ha −1 ), driven by higher pod number, shoot dry weight, and root length. Yield showed strong positive correlations with root length ( r = 0.78) and 1000‐seed weight ( r = 0.77). The results indicate that combined boron and humic acid application effectively improves black gram productivity and nutrient‐use efficiency in the acidic soils of Bangladesh.
- 1 January 2026
- Published by Wiley in International Journal of Agronomy
- Vol. 2026 (1) , 5402450
Open AccessInfluence of Foliar Application of Boron and Humic Acid on Yield of Black Gram at Acid Soil of Moulvibazar
Black gram ( Vigna mungo L.) productivity in the acidic soils of northeastern Bangladesh is constrained by micronutrient deficiency and poor nutrient availability. However, evidence on the combined foliar use of boron and humic acid under such conditions remains limited. A field experiment was conducted at Moulvibazar using a split‐plot with four levels of boron and humic acid (0–2.0 g·L −1 ). Growth, phenological, yield, and biomass traits of black gram (BARI Mash‐3) were analyzed using linear mixed‐effects models, and correlation analyses. The results showed that boron and humic acid significantly improved growth and yield attributes, with strong interaction effects. Boron at 1.0 g·L −1 produced the highest 1000‐seed weight (55.76 g) and grain yield (1.48 t·ha −1 ), representing a yield increase of about 22% over the control. Humic acid at 1.0 g·L −1 enhanced plant height (36.0 cm), seed weight (53.43 g), and yield (1.35 t·ha −1 ). The combined treatment B 3 × H 3 resulted in superior performance, recording the maximum grain yield (up to 1.63 t·ha −1 in the first cycle) and biomass yield (2.45 t·ha −1 ), driven by higher pod number, shoot dry weight, and root length. Yield showed strong positive correlations with root length ( r = 0.78) and 1000‐seed weight ( r = 0.77). The results indicate that combined boron and humic acid application effectively improves black gram productivity and nutrient‐use efficiency in the acidic soils of Bangladesh.
- Open Access
- 19 April 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (8) , 3697
Agroforestry: A Sustainable Land-Use Practice for Enhancing Productivity and Carbon Sequestration in Madhupur Sal Forest, Bangladesh
This paper explores the role of agroforestry in sequestering atmospheric carbon in the tropics and subtropics, specifically in the Madhupur Sal forest of Bangladesh. Agroforestry, combining trees with crops on agricultural lands, is recognized for its potential to act as a carbon sink and enhance productivity. The study assesses various agroforestry practices, including acacia–pineapple–turmeric–papaya, acacia–pineapple–ginger–banana, and sal–pineapple–aroid combinations. This study innovatively assessed both the carbon sequestration and economic viability of agroforestry in the Madhupur Sal forest, presenting a sustainable land-use model that balances environmental benefits and farm profitability. The research reveals improved farm productivity in these agroforestry systems, with different tree species sequestering varying amounts of carbon. Acacia species, ranging from 12 to 25 ft in height, sequestered an average of 23.35 lbs/year, while sal species (Shorea robusta), with trees 45 to 61 ft tall, sequestered 49.80 lbs/year on average. Factors such as tree height, diameter at breast height (DBH), number of leaves, and branches influence carbon sequestration. The paper suggests that the carbon sequestration (CS) potential of agroforestry results in greenhouse gas emission reduction in Bangladesh. By emphasizing the profitability of these practices alongside carbon sequestration, the study encourages the adoption of agroforestry as a sustainable and economically viable strategy.
- 19 April 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (8) , 3697
Open AccessAgroforestry: A Sustainable Land-Use Practice for Enhancing Productivity and Carbon Sequestration in Madhupur Sal Forest, Bangladesh
This paper explores the role of agroforestry in sequestering atmospheric carbon in the tropics and subtropics, specifically in the Madhupur Sal forest of Bangladesh. Agroforestry, combining trees with crops on agricultural lands, is recognized for its potential to act as a carbon sink and enhance productivity. The study assesses various agroforestry practices, including acacia–pineapple–turmeric–papaya, acacia–pineapple–ginger–banana, and sal–pineapple–aroid combinations. This study innovatively assessed both the carbon sequestration and economic viability of agroforestry in the Madhupur Sal forest, presenting a sustainable land-use model that balances environmental benefits and farm profitability. The research reveals improved farm productivity in these agroforestry systems, with different tree species sequestering varying amounts of carbon. Acacia species, ranging from 12 to 25 ft in height, sequestered an average of 23.35 lbs/year, while sal species (Shorea robusta), with trees 45 to 61 ft tall, sequestered 49.80 lbs/year on average. Factors such as tree height, diameter at breast height (DBH), number of leaves, and branches influence carbon sequestration. The paper suggests that the carbon sequestration (CS) potential of agroforestry results in greenhouse gas emission reduction in Bangladesh. By emphasizing the profitability of these practices alongside carbon sequestration, the study encourages the adoption of agroforestry as a sustainable and economically viable strategy.
- Open Access
- 1 January 2025
- Published by Wiley in Urban Agriculture & Regional Food Systems
- Vol. 10 (1)
Comparative analysis of socioeconomic determinants of pineapple‐based agroforestry adoption in Moulvibazar and Tangail, Bangladesh
Agroforestry enhances livelihoods, conserves biodiversity, and mitigates climate change but faces adoption challenges. This study uniquely addresses a gap in existing research by specifically analyzing the socioeconomic determinants of agroforestry adoption among pineapple farmers in Bangladesh's Moulvibazar and Tangail districts—a context where such crop‐focused adoption studies are scarce. A survey of 300 respondents was conducted, and data were collected through structured questionnaires and interviews, capturing demographic, economic, and institutional variables. Principal component analysis (PCA), decision tree analysis, and structural equation modeling (SEM) were employed due to their ability to reduce data dimensionality, identify interaction patterns, and test complex relationships among latent variables, respectively—analytical strengths that conventional regression lacks in capturing multidimensional adoption drivers. The results revealed significant regional differences: Tangail exhibited higher land ownership (9.36 ha on average), annual income (6001.89 USD), and institutional support, while Moulvibazar showed greater awareness (97.22%) and training participation (89.18%). Land size, education, and extension services were identified as significant factors influencing adoption rates, with smallholders in Tangail achieving 90% adoption when supported by training and institutional services. The PCA identified total land and training as primary contributors, while SEM highlighted education (−0.46), total land (0.55), and training (0.25) as key determinants. Despite higher incomes, Tangail's greater income inequality (Gini 0.5974 vs. 0.2926) highlights the need for inclusive benefit‐sharing mechanisms. Barriers such as lack of capital, limited market access, and inadequate institutional support were prevalent in both regions. Policy recommendations should prioritize financial incentives, accessible credit schemes, strengthened market linkages, and farmer‐centered training to enhance equitable and sustainable agroforestry adoption.
- 1 January 2025
- Published by Wiley in Urban Agriculture & Regional Food Systems
- Vol. 10 (1)
Open AccessComparative analysis of socioeconomic determinants of pineapple‐based agroforestry adoption in Moulvibazar and Tangail, Bangladesh
Agroforestry enhances livelihoods, conserves biodiversity, and mitigates climate change but faces adoption challenges. This study uniquely addresses a gap in existing research by specifically analyzing the socioeconomic determinants of agroforestry adoption among pineapple farmers in Bangladesh's Moulvibazar and Tangail districts—a context where such crop‐focused adoption studies are scarce. A survey of 300 respondents was conducted, and data were collected through structured questionnaires and interviews, capturing demographic, economic, and institutional variables. Principal component analysis (PCA), decision tree analysis, and structural equation modeling (SEM) were employed due to their ability to reduce data dimensionality, identify interaction patterns, and test complex relationships among latent variables, respectively—analytical strengths that conventional regression lacks in capturing multidimensional adoption drivers. The results revealed significant regional differences: Tangail exhibited higher land ownership (9.36 ha on average), annual income (6001.89 USD), and institutional support, while Moulvibazar showed greater awareness (97.22%) and training participation (89.18%). Land size, education, and extension services were identified as significant factors influencing adoption rates, with smallholders in Tangail achieving 90% adoption when supported by training and institutional services. The PCA identified total land and training as primary contributors, while SEM highlighted education (−0.46), total land (0.55), and training (0.25) as key determinants. Despite higher incomes, Tangail's greater income inequality (Gini 0.5974 vs. 0.2926) highlights the need for inclusive benefit‐sharing mechanisms. Barriers such as lack of capital, limited market access, and inadequate institutional support were prevalent in both regions. Policy recommendations should prioritize financial incentives, accessible credit schemes, strengthened market linkages, and farmer‐centered training to enhance equitable and sustainable agroforestry adoption.
- Open Access
- 10 April 2024
- Published by MDPI AG in Preprints.org
Agroforestry: A Sustainable Land-Use Practice for Enhancing Productivity and Carbon Sequestration in Madhupur Sal Forest, Bangladesh
This paper explores the role of agroforestry in mitigating climate change by sequestering atmospheric carbon in the tropics and subtropics, specifically in the Madhupur Sal forest of Bangladesh. Agroforestry, combining trees with crops on agricultural lands, is recognized for its potential to act as carbon sinks and enhance productivity. The study assesses various agroforestry practices, including Acacia-Pineapple-Turmeric-Papaya, Acacia-Pineapple-Zinger-Banana, and Sal-Pineapple-Aroid combinations. The research reveals improved farm productivity in these agroforestry systems, with different tree species sequestering varying amounts of carbon. Acacia species, ranging from 12 to 25ft in height, sequestered an average of 23.35 lbs/year, while Sal species (Shorea robusta), with trees 45 to 61ft tall, sequestered 49.80 lbs/year on average. Factors such as tree height, diameter at breast height (DBH), number of leaves, and branches influence carbon sequestration. The paper suggests integrating the carbon trading system of the Clean Development Mechanism (CDM) with Carbon Sequestration (CS) potential to leverage agroforestry for greenhouse gas emission reduction in Bangladesh. By emphasizing the profitability of these practices alongside carbon sequestration, the study encourages the adoption of agroforestry as a sustainable and economically viable strategy for climate change mitigation.
- 10 April 2024
- Published by MDPI AG in Preprints.org
Open AccessAgroforestry: A Sustainable Land-Use Practice for Enhancing Productivity and Carbon Sequestration in Madhupur Sal Forest, Bangladesh
This paper explores the role of agroforestry in mitigating climate change by sequestering atmospheric carbon in the tropics and subtropics, specifically in the Madhupur Sal forest of Bangladesh. Agroforestry, combining trees with crops on agricultural lands, is recognized for its potential to act as carbon sinks and enhance productivity. The study assesses various agroforestry practices, including Acacia-Pineapple-Turmeric-Papaya, Acacia-Pineapple-Zinger-Banana, and Sal-Pineapple-Aroid combinations. The research reveals improved farm productivity in these agroforestry systems, with different tree species sequestering varying amounts of carbon. Acacia species, ranging from 12 to 25ft in height, sequestered an average of 23.35 lbs/year, while Sal species (Shorea robusta), with trees 45 to 61ft tall, sequestered 49.80 lbs/year on average. Factors such as tree height, diameter at breast height (DBH), number of leaves, and branches influence carbon sequestration. The paper suggests integrating the carbon trading system of the Clean Development Mechanism (CDM) with Carbon Sequestration (CS) potential to leverage agroforestry for greenhouse gas emission reduction in Bangladesh. By emphasizing the profitability of these practices alongside carbon sequestration, the study encourages the adoption of agroforestry as a sustainable and economically viable strategy for climate change mitigation.