IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v104y2011i4p335-347.html
   My bibliography  Save this article

Submergence risks and farmers' preferences: Implications for breeding Sub1 rice in Southeast Asia

Author

Listed:
  • Manzanilla, D.O.
  • Paris, T.R.
  • Vergara, G.V.
  • Ismail, A.M.
  • Pandey, S.
  • Labios, R.V.
  • Tatlonghari, G.T.
  • Acda, R.D.
  • Chi, T.T.N.
  • Duoangsila, K.
  • Siliphouthone, I.
  • Manikmas, M.O.A.
  • Mackill, D.J.

Abstract

Rice (Oryza sativa L.) provides a life support system to millions of resource-poor farmers in rainfed environments; however, yields are very low because of various biotic and abiotic stresses. Submergence caused by typhoons and floods is one of the major reasons for production losses. Because of the complexity of these ecosystems, the breeding framework necessitates adequate feedback and a more in-depth understanding of the ecological and socioeconomic conditions in these flood-prone areas. Within this purview, this study validated the performance in farmers' fields of lines with the SUB1 gene that confers tolerance of submergence for up to two weeks. The SUB1 gene was incorporated through marker-assisted backcrossing, MABC. The evaluation was conducted through participatory approaches to gain understanding of the risks as well as farmers' preferences for these varieties. A baseline survey of 658 farm households accomplished during 2008, focus group discussions, key informant interviews, and adaptability trials were conducted, with focus on farmers commonly affected by submergence in four Southeast Asian countries: the Philippines, Lao PDR, Indonesia, and Southern Viet Nam. The study further examined farmers' criteria in evaluating new varieties through the participatory varietal selection (PVS) process. Results showed that varying conditions of submergence can influence farmers' criteria and preferences for rice cultivars. Depending on the timing of flood with respect to growth stage, shorter duration and shallow flashfloods can result in less than 10% production losses while deeper and stagnant water with two weeks' duration and >100 cm depth can cause damage ranging from 40% to 77%. Major findings of PVS trials and preference analysis indicated that farmers prefer rice cultivars that are tolerant of submergence, have early to medium maturity relative to their commonly grown varieties, are resistant to pests and diseases, and are resistant to lodging, among other traits. To enhance adoption, male and female farmers should be involved in the evaluation process. The results of this study can contribute to enhancing breeding programs to develop appropriate varieties that reduce production losses, improve income, and ultimately reduce poverty incidence in submergence-prone areas.

Suggested Citation

  • Manzanilla, D.O. & Paris, T.R. & Vergara, G.V. & Ismail, A.M. & Pandey, S. & Labios, R.V. & Tatlonghari, G.T. & Acda, R.D. & Chi, T.T.N. & Duoangsila, K. & Siliphouthone, I. & Manikmas, M.O.A. & Macki, 2011. "Submergence risks and farmers' preferences: Implications for breeding Sub1 rice in Southeast Asia," Agricultural Systems, Elsevier, vol. 104(4), pages 335-347, April.
  • Handle: RePEc:eee:agisys:v:104:y:2011:i:4:p:335-347
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(10)00162-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fujisaka, Sam, 1994. "Learning from six reasons why farmers do not adopt innovations intended to improve sustainability of upland agriculture," Agricultural Systems, Elsevier, vol. 46(4), pages 409-425.
    2. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    3. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376, December.
    4. Bellon, Mauricio R. & Reeves, Jane, 2002. "Quantitative Analysis Of Data From Participatory Methods In Plant Breeding," Manuals 23718, CIMMYT: International Maize and Wheat Improvement Center.
    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. Burkhard, Benjamin & Müller, Anja & Müller, Felix & Grescho, Volker & Anh, Quynh & Arida, Gertrudo & Bustamante, Jesus Victor (Jappan) & Van Chien, Ho & Heong, K.L. & Escalada, Monina & Marquez, Leo, 2015. "Land cover-based ecosystem service assessment of irrigated rice cropping systems in southeast Asia—An explorative study," Ecosystem Services, Elsevier, vol. 14(C), pages 76-87.
    2. Vina Eka Aristya & Y. Andi Trisyono & Jangkung Handoyo Mulyo & Taryono Taryono, 2021. "Participatory Varietal Selection for Promising Rice Lines," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    3. Chun, Jong Ahn & Li, Sanai & Wang, Qingguo & Lee, Woo-Seop & Lee, Eun-Jeong & Horstmann, Nina & Park, Hojeong & Veasna, Touch & Vanndy, Lim & Pros, Khok & Vang, Seng, 2016. "Assessing rice productivity and adaptation strategies for Southeast Asia under climate change through multi-scale crop modeling," Agricultural Systems, Elsevier, vol. 143(C), pages 14-21.
    4. Rafia Afroz, 2017. "An Alternative Model for Supporting the Rice Farmers in Adaptation of Climate Change," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 317-330.
    5. Srivatsan V. Raghavan & Jiang Ze & Jina Hur & Liu Jiandong & Nguyen Ngoc Son & Sun Yabin & Liong Shie-Yui, 2017. "Distributional Impacts of Climate Change and Food Security in Southeast Asia," Working Papers DP-2016-41, Economic Research Institute for ASEAN and East Asia (ERIA).
    6. Vivian Polar & Jaqueline A. Ashby & Graham Thiele & Hale Tufan, 2021. "When Is Choice Empowering? Examining Gender Differences in Varietal Adoption through Case Studies from Sub-Saharan Africa," Sustainability, MDPI, vol. 13(7), pages 1-19, March.
    7. Mubashar Hussain & Nauman Liaqat & Muhammad Bilal & Hamza Armghan Noushahi, 2018. "Comprehensive Analysis of Effect of Submergence on Rice Grain Quality," Current Investigations in Agriculture and Current Research, Lupine Publishers, LLC, vol. 5(5), pages 736-741, December.

    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. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1575-1586, November.
    2. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    3. Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
    4. Jun Wang & Zhenlou Chen & Shiyuan Xu & Beibei Hu, 2013. "Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 1205-1220, March.
    5. Jolanta Kryspin-Watson & John Pollner & Sonja Nieuwejaar, 2008. "Climate Change Adaptation in Europe and Central Asia," World Bank Publications - Reports 25985, The World Bank Group.
    6. Fatemeh Jalayer & Raffaele Risi & Francesco Paola & Maurizio Giugni & Gaetano Manfredi & Paolo Gasparini & Maria Topa & Nebyou Yonas & Kumelachew Yeshitela & Alemu Nebebe & Gina Cavan & Sarah Lindley , 2014. "Probabilistic GIS-based method for delineation of urban flooding risk hotspots," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 975-1001, September.
    7. Faraz S. Tehrani & Michele Calvello & Zhongqiang Liu & Limin Zhang & Suzanne Lacasse, 2022. "Machine learning and landslide studies: recent advances and applications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1197-1245, November.
    8. Nisar Ali Shah & Muhammad Shafique & Muhammad Ishfaq & Kamil Faisal & Mark Van der Meijde, 2023. "Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    9. Thilini Mahanama & Abootaleb Shirvani & Svetlozar Rachev, 2022. "A Natural Disasters Index," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 263-284, April.
    10. Chia-Lee Yang & Benjamin J. C. Yuan & Chi-Yo Huang, 2015. "Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method," Sustainability, MDPI, vol. 7(5), pages 1-40, May.
    11. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1605-1634, September.
    12. Kenneth, Akankwasa & Gerald, Ortmann & Edilegnaw, Wale & Wilberforce, Tushemereirwe, 2012. "Ex-Ante Adoption of New Cooking Banana (Matooke) Hybrids in Uganda Based on Farmers' Perceptions," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123302, International Association of Agricultural Economists.
    13. Octavio Rojas & María Mardones & Carolina Martínez & Luis Flores & Katia Sáez & Alberto Araneda, 2018. "Flooding in Central Chile: Implications of Tides and Sea Level Increase in the 21st Century," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    14. Zijun Qie & Lili Rong, 2017. "An integrated relative risk assessment model for urban disaster loss in view of disaster system theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 165-190, August.
    15. Abdoulaye Sy & Catherine Araujo-Bonjean & Marie-Eliette Dury & Nourddine Azzaoui & Arnaud Guillin, 2021. "An Extreme Value Mixture model to assess drought hazard in West Africa," Working Papers hal-03297023, HAL.
    16. World Bank, 2020. "Agriculture Risk Financing in Southern Africa," World Bank Publications - Reports 34084, The World Bank Group.
    17. De Groote, Hugo & Rutto, Esther & Odhiambo, George & Kanampiu, Fred & Khan, Zeyaur & Coe, Richard & Vanlauwe, Bernard, 2010. "Participatory evaluation of integrated pest and soil fertility management options using ordered categorical data analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 233-244, June.
    18. Christopher T. Emrich & Yao Zhou & Sanam K. Aksha & Herbert E. Longenecker, 2022. "Creating a Nationwide Composite Hazard Index Using Empirically Based Threat Assessment Approaches Applied to Open Geospatial Data," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    19. Badolo, Felix & Kinda, Somlanare Romuald, 2012. "Climatic shocks and food security in developing countries," MPRA Paper 43006, University Library of Munich, Germany.
    20. Pawee Klongvessa & Srilert Chotpantarat, 2022. "Determination of rainfall data for direct runoff prediction in monsoon region: a case study in the Upper Yom basin, Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2193-2218, April.

    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:eee:agisys:v:104:y:2011:i:4:p:335-347. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.