Quantifying rice yield gaps and their causes in Eastern and Southern Africa

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dc.contributor.authorSenthilkumar, Kalimuthu
dc.contributor.authorRodenburg, Jonne
dc.contributor.authorDieng, Ibnou
dc.contributor.authorVandamme, Elke
dc.contributor.authorSilas Sillo, Fitta
dc.contributor.authorJohnson, Jean-Martial
dc.contributor.authorRajaona, Arisoa
dc.contributor.authorAmielle Ramarolahy, Jemima
dc.contributor.authorGasore, Rene
dc.contributor.authorAbera, Bayuh Belay
dc.contributor.authorKajiru, Geophrey J.
dc.contributor.authorMghase, Jerome
dc.contributor.authorLamo, Jimmy
dc.contributor.authorRabeson, Raymond
dc.contributor.authorSaito, Kazuki
dc.date.accessioned2022-08-21T10:34:41Z
dc.date.available2022-08-21T10:34:41Z
dc.date.issued2020
dc.description.abstractThe demand for rice in Eastern and Southern Africa is rapidly increasing because of changes in consumer preferences and urbanization. However, local rice production lags behind consumption, mainly due to low yield levels. In order to set priorities for research and development aimed at improving rice productivity, there is a need to characterize the rice production environments, to quantify rice yield gaps—that is, the difference between average on-farm yield and the best farmers’ yield—and to identify causes of yield gaps. Such information will help identifying and targeting technologies to alleviate the main constraints, and consequently to reduce existing yield gaps. Yield gap surveys were conducted on 357 rice farms at eight sites (19–50 farmers per site) across five rice-producing countries in Eastern and Southern Africa—that is Ethiopia, Madagascar, Rwanda, Tanzania and Uganda—for one or two years (2012–13) to collect both quantitative and qualitative data at field and farm level. Average farm yields measured at the eight sites ranged from 1.8 to 4.3 t/ha and the average yield gap ranged from 0.8 to 3.4 t/ha. Across rice-growing environments, major causes for yield variability were straw management, weeding frequency, growth duration of the variety, weed cover, fertilizer (mineral and organic) application frequency, levelling and iron toxicity. Land levelling increased the yield by 0.74 t/ha, bird control increased the yield by 1.44 t/ha, and sub-optimal management of weeds reduced the yield by 3.6 to 4.4 t/ha. There is great potential to reduce the current rice yield gap in ESA, by focusing on improvements of those crop management practices that address the main site-specific causes for sub-optimal yields.en_US
dc.identifier.citationSenthilkumar, K., Rodenburg, J., Dieng, I., Vandamme, E., Sillo, F. S., Johnson, J. M., ... & Saito, K. (2020). Quantifying rice yield gaps and their causes in Eastern and Southern Africa. Journal of Agronomy and Crop Science, 206(4), 478-490. DOI: 10.1111/jac.12417en_US
dc.identifier.other10.1111/jac.12417
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4338
dc.language.isoenen_US
dc.publisherJournal of Agronomy and Crop Scienceen_US
dc.subjectBirdsen_US
dc.subjectIrrigated lowlanden_US
dc.subjectRainfed lowlanden_US
dc.subjectSmallholder farmeren_US
dc.subjectUplanden_US
dc.subjectWeedsen_US
dc.subjectYield variabilityen_US
dc.titleQuantifying rice yield gaps and their causes in Eastern and Southern Africaen_US
dc.typeArticleen_US
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