IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5156-d801428.html

Adoption Trend of Climate-Resilient Rice Varieties in Bangladesh

Author

Listed:
  • Swati Nayak

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Muhammad Ashraful Habib

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Kuntal Das

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Saidul Islam

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Sk Mosharaf Hossain

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Biswajit Karmakar

    (Bangladesh Rice Research Institute, Joydebpur, Gazipur 1701, Bangladesh)

  • Roberto Fritsche Neto

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Sankalp Bhosale

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Hans Bhardwaj

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Sudhanshu Singh

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Mohammad Rafiqul Islam

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Vikas Kumar Singh

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Ajay Kohli

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Uma S. Singh

    (International Rice Research Institute, Los Baños 4031, Laguna, Philippines)

  • Lutful Hassan

    (Bangladesh Agricultural University, Mymensingh 2202, Bangladesh)

Abstract

Rice is a major crop in Bangladesh that supports both food security and livelihoods. However, a need remains for improved productivity and adaptation to the risks associated with climate change. To accomplish this, the increased adoption of climate-resilient and high-yielding rice varieties can be beneficial. Therefore, we conducted a study in Bangladesh over three consecutive years: 2016, 2017, and 2018. The scope of the study included the major cropping season (wet), Aman. The yield advantages of climate-resilient rice varieties were evaluated and compared with those of the varieties popular with farmers. We included new stress-tolerant varieties, such as submergence-tolerant rice (BRRI dhan51 and BRRI dhan52) and drought-tolerant rice (BRRI dhan56 and BRRI dhan71), along with farmer-chosen controls, in the study. We conducted the evaluation through on-farm trials to compare the varieties in both submergence- and drought-affected environments. The seasonal trials provided measured results of yield advantages. The participating farmers were also studied over the three-year-period to capture their varietal adoption rates. We calculated both the location estimated yield advantages (LEYA) and the location observed yield advantages (LOYA). The results revealed that, under non-stress conditions, the grain yields of climate-resilient varieties were either statistically similar to or higher than those of the farmer-chosen controls. Our study also revealed a year-to-year progressive adoption rate for the introduced varieties. The study suggests that the wide-scale introduction and popularization of climate-resilient varieties can ensure higher productivity and climate risk adaptation. The close similarity between LOYA and LEYA indicated that the observational and experiential conclusions of the host farmers were similar to the scientific performance of the varieties. We also found that comparison performed through on-farm trials was a critical method for enhancing experiential learning and obtaining an accurate estimation of yield advantages.

Suggested Citation

  • Swati Nayak & Muhammad Ashraful Habib & Kuntal Das & Saidul Islam & Sk Mosharaf Hossain & Biswajit Karmakar & Roberto Fritsche Neto & Sankalp Bhosale & Hans Bhardwaj & Sudhanshu Singh & Mohammad Rafiq, 2022. "Adoption Trend of Climate-Resilient Rice Varieties in Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5156-:d:801428
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/9/5156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mottaleb, Khondoker Abdul & Gumma, Murali K. & Mishra, Ashok K. & Mohanty, Samarendu, 2015. "Quantifying production losses due to drought and submergence of rainfed rice at the household level using remotely sensed MODIS data," Agricultural Systems, Elsevier, vol. 137(C), pages 227-235.
    2. Manzoor H. Dar & Ritadhi Chakravorty & Showkat A. Waza & Mayank Sharma & Najam W. Zaidi & Amrendra N. Singh & Umesh S. Singh & Abdelbagi M. Ismail, 2017. "Transforming rice cultivation in flood prone coastal Odisha to ensure food and economic security," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 711-722, August.
    3. Dim Coumou & Stefan Rahmstorf, 2012. "A decade of weather extremes," Nature Climate Change, Nature, vol. 2(7), pages 491-496, July.
    4. Dar, Manzoor H & de Janvry, Alain & Emerick, Kyle & Raitzer, David & Sadoulet, Elisabeth, 2013. "Flood-tolerant rice reduces yield variability and raises expected yield, differentially benefitting socially disadvantaged groups," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9md9n7h0, Department of Agricultural & Resource Economics, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jinyu Qian & Airin Rahman & Naiping Zhu & Mohamad Alnafissa, 2025. "Climate-smart technology adoption in hazard-prone areas: does this adoption impact farm families’ food security?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    2. Naiping Zhu & Jinlan Yang & Airin Rahman & Md Nazirul Islam Sarker & Sharmin Afrin & Mahfuza Afroj & Md. Din Il Islam & R. B. Radin Firdaus, 2025. "Coping with climate change: an analysis of farmers’ adoption behavior and its impact on production efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 13439-13459, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey D. Michler & Dewan Abdullah Al Rafi & Jonathan Giezendanner & Anna Josephson & Valerien O. Pede & Elizabeth Tellman, 2024. "Impact Evaluations in Data Poor Settings: The Case of Stress-Tolerant Rice Varieties in Bangladesh," Papers 2409.02201, arXiv.org, revised Jul 2025.
    2. Manzoor H. Dar & Ritadhi Chakravorty & Showkat A. Waza & Mayank Sharma & Najam W. Zaidi & Amrendra N. Singh & Umesh S. Singh & Abdelbagi M. Ismail, 2017. "Transforming rice cultivation in flood prone coastal Odisha to ensure food and economic security," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 711-722, August.
    3. Hansen, James & Hellin, Jon & Rosenstock, Todd & Fisher, Eleanor & Cairns, Jill & Stirling, Clare & Lamanna, Christine & van Etten, Jacob & Rose, Alison & Campbell, Bruce, 2019. "Climate risk management and rural poverty reduction," Agricultural Systems, Elsevier, vol. 172(C), pages 28-46.
    4. Dar, Manzoor H. & Waza, Showkat A. & Nayak, Swati & Chakravorty, Ritadhi & Zaidi, Najam W. & Hossain, Mosharaf, 2020. "Gender focused training and knowledge enhances the adoption of climate resilient seeds," Technology in Society, Elsevier, vol. 63(C).
    5. Manzoor H. Dar & Dilruba A. Bano & Showkat A. Waza & Najam W. Zaidi & Asma Majid & Asif B. Shikari & M. Ashraf Ahangar & Mosharaf Hossain & Arvind Kumar & Uma S. Singh, 2021. "Abiotic Stress Tolerance-Progress and Pathways of Sustainable Rice Production," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    6. Raghu, Prabhakaran T & Das, Sukanya & Veettil, Prakashan Chellattan, 2021. "Smallholder Adaptation to Flood Risks: Adoption and Impact of Swarna-Sub1 in Eastern India," 2021 Conference, August 17-31, 2021, Virtual 315867, International Association of Agricultural Economists.
    7. Sarah Ann Wheeler & Céline Nauges & Alec Zuo, 2021. "How stable are Australian farmers’ climate change risk perceptions? New evidence of the feedback loop between risk perceptions and behaviour," Post-Print hal-03198062, HAL.
    8. Kaustubh Salvi & Subimal Ghosh, 2016. "Projections of Extreme Dry and Wet Spells in the 21st Century India Using Stationary and Non-stationary Standardized Precipitation Indices," Climatic Change, Springer, vol. 139(3), pages 667-681, December.
    9. Barton, Madeleine G. & Terblanche, John S. & Sinclair, Brent J., 2019. "Incorporating temperature and precipitation extremes into process-based models of African lepidoptera changes the predicted distribution under climate change," Ecological Modelling, Elsevier, vol. 394(C), pages 53-65.
    10. Morana, Claudio & Sbrana, Giacomo, "undated". "Temperature Anomalies, Radiative Forcing and ENSO," MITP: Mitigation, Innovation and Transformation Pathways 253732, Fondazione Eni Enrico Mattei (FEEM).
    11. de Janvry, Alain & Rao, Manaswini & Sadoulet, Elisabeth, 2025. "Seeding the seeds: Role of social structure in agricultural technology diffusion," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
    12. Weixing Ma & Tinglin Huang & Xuan Li & Zizhen Zhou & Yang Li & Kang Zeng, 2015. "The Effects of Storm Runoff on Water Quality and the Coping Strategy of a Deep Canyon-Shaped Source Water Reservoir in China," IJERPH, MDPI, vol. 12(7), pages 1-17, July.
    13. Borghesi, Simone & Colivicchi, Ilaria & Iannucci, Gianluca & Tampieri, Alessandro, 2026. "Environmental insurance and resilience in the age of natural disasters," Ecological Economics, Elsevier, vol. 239(C).
    14. Cotto, Olivier & Chevin, Luis-Miguel, 2020. "Fluctuations in lifetime selection in an autocorrelated environment," Theoretical Population Biology, Elsevier, vol. 134(C), pages 119-128.
    15. Zbigniew W. Kundzewicz & Adam Choryński & Janusz Olejnik & Hans J. Schellnhuber & Marek Urbaniak & Klaudia Ziemblińska, 2023. "Climate Change Science and Policy—A Guided Tour across the Space of Attitudes and Outcomes," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    16. Maaz Gardezi & J. Gordon Arbuckle, 2019. "Spatially Representing Vulnerability to Extreme Rain Events Using Midwestern Farmers’ Objective and Perceived Attributes of Adaptive Capacity," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 17-34, January.
    17. Kristie S. Gutierrez & Catherine E. LePrevost, 2016. "Climate Justice in Rural Southeastern United States: A Review of Climate Change Impacts and Effects on Human Health," IJERPH, MDPI, vol. 13(2), pages 1-21, February.
    18. Maëlle Lefeuvre & ChuChu Lu & Carlos A Botero & Joanna Rutkowska, 2023. "Variable ambient temperature promotes song learning and production in zebra finches," Behavioral Ecology, International Society for Behavioral Ecology, vol. 34(3), pages 408-417.
    19. Samuel A. Markolf & Kelly Klima & Terrence L. Wong, 2015. "Adaptation frameworks used by US decision-makers: a literature review," Environment Systems and Decisions, Springer, vol. 35(4), pages 427-436, December.
    20. Austin Becker & Michele Acciaro & Regina Asariotis & Edgard Cabrera & Laurent Cretegny & Philippe Crist & Miguel Esteban & Andrew Mather & Steve Messner & Susumu Naruse & Adolf Ng & Stefan Rahmstorf &, 2013. "A note on climate change adaptation for seaports: a challenge for global ports, a challenge for global society," Climatic Change, Springer, vol. 120(4), pages 683-695, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5156-:d:801428. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.