1. How big is the potato (Solanum tuberosum L.) yield gap in Sub-Saharan Africa and why? A participatory approach
- Author
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Daniel Mbiri, Elmar Schulte-Geldermann, Alemu Worku, Danbaba Anthony Kude, John Onditi, Bruce Ochieng, Jean Marc Randrianaivoarivony, Carolina Barreda, D. Harahagazwe, Bruno Condori, Bouwe Nasona, Felipe De Mendiburu, Arinaitwe Abel Byarugaba, Roberto Quiroz, Carolino Martinho, Victor Mares, Astère Bararyenya, Christopher M. Tankou, and C. Lung'aho
- Subjects
0106 biological sciences ,Sub saharan ,participatory modelling ,community of practice ,Crop yield ,Yield (finance) ,Agriculture (General) ,Simulation modeling ,Yield gap ,Agriculture ,04 agricultural and veterinary sciences ,Solanum tuberosum ,01 natural sciences ,S1-972 ,Participatory approach ,Participatory rural appraisal ,Agricultural science ,yield gap drivers ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,General Agricultural and Biological Sciences ,crop modelling ,010606 plant biology & botany ,Mathematics - Abstract
According to potato experts from ten Sub-Saharan Africa (SSA) countries working together in a community of practice (CoP) over a 3-years period, potato farmers across SSA can increase their current annual production of 10.8 million metric tons by 140% if they had access to high quality seed along with improved management practices. This paper describes this innovative new methodology tested on potato for the first time, combining modelling and a comprehensive online survey through a CoP. The intent was to overcome the paucity of experimental information required for crop modelling. Researchers, whose data contributed to estimating model parameters, participated in the study using Solanum, a crop model developed by the International Potato Center (CIP). The first finding was that model parameters estimated through participatory modelling using experts’ knowledge were good approximations of those obtained experimentally. The estimated yield gap was 58 Mg ha-1, of which 35 corresponded to a research gap (potential yield minus research yield) and 24 to farmers’ gap (research yield minus farmer’s yield). Over a 6-month period, SurveyMonkey, a Web-based platform was used to assess yield gap drivers. The survey revealed that poor quality seed and bacterial wilt were the main yield gap drivers as perceived by survey respondents.
- Published
- 2018