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Improving Resource Utilization Efficiency in Rice Production Systems with Contour-Levee Irrigation in Colombia

  • Kensuke Okada
  • Lorena Lopez-Galvis
Chapter

Abstract

Developing rice production systems with efficient use of input resources such as water and nitrogen is the pressing need worldwide. In Colombia, the contour-levee irrigation system in gently sloped land is widely used where the irrigation is applied in an intermittent manner and water is not stored continuously as in Asian paddy fields, and thus the utilization efficiencies of water and fertilizers are lower due to the surface drainage. Under the economic environment of increasing international competition for rice, it is required to decrease the production cost by increasing these efficiencies. For this purpose, the following researches are being conducted. First, the quantitative trait loci (QTL) related to root morphology and enhancing more roots at deeper soil layers are identified and introduced to the Colombian leading varieties to develop new-generation varieties. Second, a rice growth model is applied to the typical rice system, and better nitrogen management scheme is being developed through the scenario analysis by the simulation. Third, better irrigation methods are developed in the field, and their water-saving efficiencies in watershed scale are evaluated by using hydrological models. Fourth, the community precision agriculture and horizontal technology transfer methodologies are applied to the Colombian rice production system, and newly developed technologies are being integrated and disseminated in one of the major rice-producing region in Colombia. The new system is expected to be adopted by other Latin American countries where the similar irrigation systems are used.

References

  1. Deshmukh V, Kamoshita A, Norisada M et al (2017) Near-isogenic lines of IR64 (Oryza sativa subsp. indica cv.) introgressed with DEEPER ROOTING 1 and STELE TRANSVERSAL AREA 1 improve rice yield formation over the background parent across three water management regimes. Plant Prod Sci 20:249–261CrossRefGoogle Scholar
  2. Ding X, Li X, Xiong L (2011) Evaluation of near-isogenic lines for drought resistance QTL and fine mapping of a locus affecting flag leaf width, spikelet number, and root volume in rice. Theor Appl Genet 123:815–826CrossRefPubMedGoogle Scholar
  3. FAOSTAT. http://www.fao.org/faostat/, Food and Agriculture Organization of the United Nations FAOSTAT Statics Database, Rome. Accessed 1 Apr 2017.
  4. Food and Agriculture Organization of the United Nations (2011) The state of food insecurity in the world. FAO, RomeGoogle Scholar
  5. Food and Agriculture Organization of the United Nations (2013) FAO statistical yearbook 2013. World Food and Agriculture, RomeGoogle Scholar
  6. Gaydon DS, Probert ME, Buresh RJ et al (2012) Rice in cropping systems – modelling transitions between flooded and non-flooded soil environments. Eur J Agron 39:9–24CrossRefGoogle Scholar
  7. Henry CG, Vories ED, Anders MM et al (2014) Irrigation water requirements for rice irrigation systems in Arkansas. In: Norman RJ, Moldenhauer KAK (ed) Arkansas rice research studies 2013, pp 286–292. Arkansas Agricultural Experiment Station, Division of Agriculture, University of Arkansas, Fayetteville, Arkansas, USGoogle Scholar
  8. Keating BA, Carberry PS, Hammer GL et al (2003) An overview of APSIM, a model designed for farming systems simulation. Eur J Agron 18:267–288CrossRefGoogle Scholar
  9. Khoy R, Nanseki T, Chomei N et al (2017) Analysis of demands for farming technologies and appropriate transfer methods of rice farmers in Ibague, Tolima, Colombia. J Fac Agric Kyushu Univ 62:245–253Google Scholar
  10. Kitomi Y, Kanno N, Kawai S et al (2015) QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1. Rice 8:16CrossRefPubMedPubMedCentralGoogle Scholar
  11. Montoya JDA (2011) The Colombian rice sector scenarios and strategic options for increasing the competitiveness considering international free trade agreements. Thesis Management Studies, Wageningen University, WageningenGoogle Scholar
  12. Mulligan M (2013) WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally. Hydrol Res 44:748–769CrossRefGoogle Scholar
  13. Naito H, Ogawa S, Valencia MO et al (2017) Estimating rice yield related traits and quantitative trait loci analysis under different nitrogen treatments using a simple tower-based field phenotyping system with modified single-lens reflex cameras. JSPRS J Photogramm Remote Sen 125:50–62CrossRefGoogle Scholar
  14. Obara M, Tamura W, Ebitani T et al (2010) Fine-mapping of qRL6.1, a major QTL for root length of rice seedlings grown under a wide range of NH4 + concentrations in hydroponic conditions. Theor Appl Genet 121:535–547CrossRefPubMedPubMedCentralGoogle Scholar
  15. Ricepedia. http://ricepedia.org/index.php/colombia. Accessed on 15 Oct 2017.
  16. Scobie GM, Posada RT (1978) The impact of technical change on income distribution: the case of rice in Colombia. Am J Agric Econ 60:85–92CrossRefGoogle Scholar
  17. Smith MC, Massey JH, Branson J et al (2007) Water use estimates for various rice production systems in Mississippi and Arkansas. Irrig Sci 25:141–147CrossRefGoogle Scholar
  18. Uga Y, Sugimoto K, Ogawa S et al (2013a) Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions. Nat Genet 45:1097–1102.  https://doi.org/10.1038/ng.2725 CrossRefPubMedGoogle Scholar
  19. Uga Y, Yamamoto E, Kanno N et al (2013b) A major QTL controlling deep rooting on rice chromosome 4. Sci Rep 3:3040.  https://doi.org/10.1038/srep03040 CrossRefPubMedPubMedCentralGoogle Scholar
  20. Uga Y, Kitomi Y, Yamamoto E et al (2015) A QTL for root growth angle on rice chromosome 7 is involved in the genetic pathway of DEEPER ROOTING 1. Rice 8:8.  https://doi.org/10.1186/s12284-015-0044-7 CrossRefPubMedPubMedCentralGoogle Scholar
  21. Zorilla G, Martínez C, Berrío L et al (2012) Improving rice production systems in Latin America and the Caribbean. In: Hershey CH (ed) Eco-Efficiency: From vision to reality. Centro Internacional de Agricultura Tropical (CIAT), Cali, pp 161–170Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Graduate School of Agricultural and Life SciencesThe University of TokyoTokyoJapan

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