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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
    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.
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    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, Leona, 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.

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