Person: Snapp, Sieglinde
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Snapp
First Name
Sieglinde
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Snapp, S.S.
ORCID ID
0000-0002-9738-0649 7 results
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- Dialogical training guide for sustainable soil and crop management in smallholder farming systems(CIMMYT, 2025) Miller, N.R.; Kamaluddin Tijjani Aliyu; Mhlanga, B.; Snapp, S.S.
Publication - Participatory action research generates knowledge for Sustainable Development Goals(Wiley-Blackwell, 2023) Snapp, S.S.; Bybee-Finley, K.A.; Chikowo, R.; Dakishoni, L.; Grabowski, P.; Lupafya, E.; Mhango, W.; Morrone, V.; Shumba, L.; Kanyama-Phiri, G.Y.
Publication - Barriers to sustainable intensification: overlooked disconnects between agricultural extension and farmer practice in maize-legume cropping systems in Tanzania(Taylor & Francis, 2022) Bekunda, M.; McCormack, C.; Snapp, S.S.
Publication - Vulnerability mapping and advisory for prioritization of investment in maize and sorghum growing areas of AGRA target countries: synthesis(CIMMYT, 2023) Fantaye, K.T.; Belay Simane; Ademe, D.; Ejeta, A.T.; Gebremariam, T.; Takele, R.; Getaneh, F.; Ndour, A.; Mekuriaw, A.; Sida, T.S.; Amede, T.; Snapp, S.S.
Publication - Spatially differentiated nitrogen supply is key in a global food–fertilizer price crisis(Nature Research, 2023) Snapp, S.S.; Sapkota, T.; Chamberlin, J.; Cox, C.; Gameda, S.; Jat, M.L.; Marenya, P.P.; Mottaleb, K.A.; Negra, C.; Senthilkumar, K.; Sida, T.S.; Singh, U.; Stewart, Z.; Fantaye, K.T.; Govaerts, B.
Publication - Agroecology can promote climate change adaptation outcomes without compromising yield in smallholder systems(Springer New York, 2023) Dittmer, K.M.; Rose, S.; Snapp, S.S.; Kebede, Y.; Brickman, S.; Shelton, S.; Egler, C.; Stier, M.; Wollenberg, E.
Publication - Exploring farmer options for maize production strategies via scenario analysis using the APSIM model-an example of the approach(CIMMYT, 2000) Keating, B.; Waddington, S.R.; Shamudzarira, Z.; Grace, P.; Rohrbach, D.D.; Snapp, S.S.; Dimes, J.; Carberry, P.S.; Robertson, M.J.This report summarizes a workshop in which the APSIM (Agricultural Production Systems Simulator) farming systems model was applied to the analysis of management options critical to maize production in Zimbabwe. The modeling analysis focused on responses to investment in nitrogen fertilizer inputs, in terms of investments in timely sowing and weeding. The study evaluated a number of alternative scenarios of land, labor, and financial constraints for a farm household which were based on local information. Scenarios were established whereby the resources available could be deployed in different ways over multiple fields on the farm. In one scenario, fertilizer inputs, and weeding and plowing/sowing efforts were concentrated on a portion of the farm and the remainder was left idle. In another scenario, the resources were spread evenly over the whole farm; others involved the shifting of resources between investments in fertilizer inputs, early sowing, and more effective weeding regimes. The study was configured for a farm in Natural Region II using a Harare climate data on a shallow, infertile, sandy soil. Since the farm household constraints were very simply defined, the study needs to be repeated with more careful specification of the constraints and in other drier regions of the country. Despite these deficiencies, the study does highlight the challenges that smallholders face when investing in fertilizer inputs, and provides some direction for future on-farm research.
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