From best fit technologies to best fit scaling: incorporating and evaluating factors affecting the adoption of grain legumes in Sub-Saharan Africa

Andrew Farrow*, Esther Ronner, Greta J. van den Brand, Stephen K. Boahen, Wilson Leonardo, Endalkachew Wolde-Meskel, Samuel Adjei-Nsiah, Regis Chikowo, Fredrick Baijukya, Peter Ebanyat, Emmanuel A. Sangodele, Jean-Marie Sanginga, Speciose Kantengwa, Lloyd Phiphira, Paul Woomer, Theresa Ampadu-Boakye, Edward Baars, Fred Kanampiu, Bernard Vanlauwe, Kenneth E. Giller

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

The success of scaling out depends on a clear understanding of the factors that affect adoption of grain legumes and account for the dynamism of those factors across heterogeneous contexts of sub-Saharan Africa. We reviewed literature on adoption of grain legumes and other technologies in sub-Saharan Africa and other developing countries. Our review enabled us to define broad factors affecting different components of the scaling out programme of N2Africa and the scales at which those factors were important. We identified three strategies for managing those factors in the N2Africa scaling out programme: (i) testing different technologies and practices; (ii) evaluating the performance of different technologies in different contexts; and (iii) monitoring factors that are difficult to predict. We incorporated the review lessons in a design to appropriately target and evaluate technologies in multiple contexts across scales from that of the farm to whole countries. Our implementation of this design has only been partially successful because of competing reasons for selecting activity sites. Nevertheless, we observe that grain legume species have been successfully targeted for multiple biophysical environments across sub-Saharan Africa, and to social and economic contexts within countries. Rhizobium inoculant and legume specific fertiliser blends have also been targeted to specific contexts, although not in all countries. Relatively fewer input and output marketing models have been tested due to public–private partnerships, which are a key mechanism for dissemination in the N2Africa project.
Original languageEnglish
Pages (from-to)226-251
JournalExperimental Agriculture
Volume55
Issue numberS1
Early online date26 Dec 2016
DOIs
Publication statusPublished - Jun 2019

Fingerprint Dive into the research topics of 'From best fit technologies to best fit scaling: incorporating and evaluating factors affecting the adoption of grain legumes in Sub-Saharan Africa'. Together they form a unique fingerprint.

Cite this