Person: Andersson, J.A.
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Andersson
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J.A.
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Andersson, J.A.
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0000-0002-8124-344724 results
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- Failure to scale in digital agronomy: An analysis of site-specific nutrient management decision-support tools in developing countries(Elsevier B.V., 2023) Sida, T.S.; Gameda, S.; Chamberlin, J.; Andersson, J.A.; Getnet, M.; Woltering, L.; Craufurd, P.
Publication - Indifferent to difference? Understanding the unequal impacts of farming technologies among smallholders. A review(Springer, 2022) Thuijsman, E.S.; Braber, H.J.; Andersson, J.A.; Descheemaeker, K.; Baudron, F.; Lopez-Ridaura, S.; Vanlauwe, B.; Giller, K.E.
Publication - Assessing farmer perceptions on livestock intensification and associated trade-offs using fuzzy cognitive maps; a study in mixed farming systems in the mid-hills of Nepal(Wiley, 2023) Alomia-Hinojosa, V.; Groot, J.; Andersson, J.A.; Speelman, E.N.; Mcdonald, A.; Tittonell, P.
Publication - Small farms and development in sub-Saharan Africa: farming for food, for income or for lack of better options?(Springer, 2021) Giller, K.E.; Delaune, T.; Silva, J.V.; Wijk, M. van; Hammond, J.; Descheemaeker, K.; Van de Ven, G.; Schut, A.G.T.; Taulya, G.; Chikowo, R.; Andersson, J.A.
Publication - Herbicide induced hunger? Conservation Agriculture, ganyu labour and rural poverty in Central Malawi(Taylor & Francis, 2021) Bouwman, T.; Andersson, J.A.; Giller, K.E.
Publication - Adapting yet not adopting? Conservation agriculture in Central Malawi(Elsevier, 2021) Bouwman, T.; Andersson, J.A.; Giller, K.E.
Publication - Science-based decision support for formulating crop fertilizer recommendations in sub-Saharan Africa(Elsevier, 2020) Rurinda, J.; Shamie Zingore; Jibrin, J.M.; Balemi, T.; Masuki, K.; Andersson, J.A.; Pampolino, M.F.; Mohammed, I.B.; Mutegi, J.; Kamara, A.Y.; Vanlauwe, B.; Craufurd, P.
Publication - Rethinking technological change in smallholder agriculture(SAGE Publishing, 2019) Glover, D.; Sumberg, J.; Ton, G.; Andersson, J.A.; Badstue, L.B.The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system. We review the insights of a large and expanding literature, from various disciplines, which has deepened understanding of technological change as an intricate and complex sociotechnical reconfiguration, situated in time and space. We explain the problems arising from the inappropriate use of adoption as a framing concept and propose an alternative conceptual framework for understanding and evaluating technological change. The new approach breaks down technology change programmes into four aspects: propositions, encounters, dispositions and responses. We begin to sketch out how this new framework could be operationalised.
Publication - Does size matter? A critical review of meta-analysis in agronomy(Cambridge University Press, 2019) Krupnik, T.J.; Andersson, J.A.; Rusinamhodzi, L.; Corbeels, M.; Shennan, C.; Gerard, B.Intended to test broad hypotheses and arrive at unifying conclusions, meta-analysis is the process of extracting, assembling, and analyzing large quantities of data from multiple publications to increase statistical power and uncover explanatory patterns. This paper describes the ways in which meta-analysis has been applied to support claims and counter-claims regarding two topics widely debated in agricultural research, namely organic agriculture (OA) and conservation agriculture (CA). We describe the origins of debate for each topic and assess prominent meta-analyses considering data-selection criteria, research question framing, and the interpretation and extrapolation of meta-analytical results. Meta-analyses of OA and CA are also examined in the context of the political economy of development-oriented agricultural research. Does size matter? We suggest that it does, although somewhat ironically. While meta-analysis aims to pool all relevant studies and generate comprehensive databases from which broad insights can be drawn, our case studies suggest that the organization of many meta-analyses may affect the generalizability and usefulness of research results. The politicized nature of debates over OA and CA also appear to affect the divergent ways in which meta-analytical results may be interpreted and extrapolated in struggles over the legitimacy of both practices. Rather than resolving scientific contestation, these factors appear to contribute to the ongoing debate. Meta-analysis is nonetheless becoming increasingly popular with agricultural researchers attracted by the power for the statistical inference offered by large datasets. This paper consequently offers three suggestions for how scientists and readers of scientific literature can more carefully evaluate meta-analyses. First, the ways in which papers and data are collected should be critically assessed. Second, the justification of research questions, framing of farming systems, and the scales at which research results are extrapolated and discussed should be carefully evaluated. Third, when applied to strongly politicized topics situated in an arena of scientific debate, as is the case with OA and CA, more conservative interpretations of meta-analytical results that recognize the socially and politically embedded nature of agricultural research is are needed.
Publication - Doing development-oriented agronomy: rethinking methods, concepts and direction(Cambridge University Press, 2019) Andersson, J.A.; Giller, K.E.This special issue brings together a selection of papers that not merely present agronomic research findings, but critically review orientations, methodologies and research practices in agronomy. The focus is on agronomic research as it conducted as component of rural development efforts in the global South or, in short, development-oriented agronomy. Aiming to contribute to development challenges like food security, human welfare and wellbeing, and environmental sustainability, a focus on development-oriented agronomy implies a step beyond a narrow understanding of agronomy as the science of crop production and soil management. Doing development-oriented agronomy forefronts the juggling with productivity enhancing, environmental and social developmental goals entailed when doing agronomy. What is more, development-oriented agronomy generally takes place within a complex environment of (inter)national research and development policy organisations, development donor-funded projects, governmental, NGO and private sector agencies and global professional networks and (public–private) partnerships. Consequently, development-oriented agronomy is a field where debate and contestations over goals and direction, research methodologies and findings of agronomic research are first likely to emerge and become apparent.
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