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Genotypic trade-offs between water productivity and weed competition under the System of Rice Intensification in the Sahel

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  • Krupnik, Timothy J.
  • Rodenburg, Jonne
  • Haden, Van Ryan
  • Mbaye, Doudou
  • Shennan, Carol

Abstract

Yield, water productivity and weed-inflicted Relative Yield Losses (RYL) under Recommended Management Practices (RMP) were compared with the System of Rice Intensification (SRI) under double-cropping for two seasons and at two locations in the Senegal River Valley. Seven genotypes from Oryza sativa and Oryza glaberrima species and their interspecific crosses, were grown under weed-free conditions and in competition with weeds. Weed-free grain yields in SRI were never significantly different than those obtained with RMP. An average of 27% (range 18–46%) less water was applied to SRI than required for continuous flooding in RMP, resulting in consistently higher water productivity with SRI. However, when subjected to weed competition, mean SRI yields were significantly lower than RMP in three of four experimental iterations (an average of 28% less). Across experiments, weed-inflicted RYL was greater in SRI than RMP in 81% of observed cases. Weeds reduced the water productivity enhancing benefits of SRI by an average of 38% compared to weed-free treatments, resulting in significantly lower water productivity with SRI in three of four experiments. Rice genotypes Jaya and Sahel-202 were identified as relatively weed-competitive under each crop management system, however both have intermediate-length cycles and required more irrigation than shorter-duration genotypes. When weeds are carefully controlled, good yields and significant water savings can be achieved with SRI. However, this specific requirement of careful weed control might be difficult to meet by farmers coping with high weed infestations or with limited access to tools, inputs or labor to address them. Weed-competitive genotypes could help reduce weed-inflicted yield losses associated with SRI and other water-saving rice production systems, though future breeding efforts should address the trade-offs between weed competitive traits, water productivity and crop duration to meet the needs of farmers practicing double rice cropping.

Suggested Citation

  • Krupnik, Timothy J. & Rodenburg, Jonne & Haden, Van Ryan & Mbaye, Doudou & Shennan, Carol, 2012. "Genotypic trade-offs between water productivity and weed competition under the System of Rice Intensification in the Sahel," Agricultural Water Management, Elsevier, vol. 115(C), pages 156-166.
    • Handle: RePEc:eee:agiwat:v:115:y:2012:i:c:p:156-166
    DOI: 10.1016/j.agwat.2012.08.016
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    3. Tavseef Mairaj Shah & Durga Prasad Babu Nasika & Ralf Otterpohl, 2021. "Plant and Weed Identifier Robot as an Agroecological Tool Using Artificial Neural Networks for Image Identification," Agriculture, MDPI, vol. 11(3), pages 1-31, March.
    4. Reynolds, Travis W. & Anderson, C. Leigh & Slakie, Elysia & Gugerty, Mary Kay, 2015. "How Common Crop Yield Measures Misrepresent Productivity among Smallholder Farmers," 2015 Conference, August 9-14, 2015, Milan, Italy 212294, International Association of Agricultural Economists.
    5. Reynolds, Travis W. & Anderson, C. Leigh & Slakie, Elysia & Gugerty, Mary Kay, 2015. "How Common Crop Yield Measures Misrepresent Productivity among Smallholder Farmers," 2015 Conference, August 9-14, 2015, Milan, Italy 212485, International Association of Agricultural Economists.
    6. Nhamo, Nhamo & Rodenburg, Jonne & Zenna, Negussie & Makombe, Godswill & Luzi-Kihupi, Ashura, 2014. "Narrowing the rice yield gap in East and Southern Africa: Using and adapting existing technologies," Agricultural Systems, Elsevier, vol. 131(C), pages 45-55.

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