CIP Datasets
Permanent URI for this collectionhttps://hdl.handle.net/10568/173364
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Item Dataset for: Costing of sweetpotato breeding pipelines by CIP and NARS programs in sub-Sahara Africa, 2024(Dataset, 2025) Makunde, G.S.; Gonzaga, L.; Ssali, R.T.; Yada, B.; Mtonga, A.; Serenje, G.; Odiyo, O.; Musundire, L.Costing breeding program involves running a crop breeding activity, or an entire breeding pipeline, using the prices, costs and salaries from a single year. Market segments or breeding pipelines are costed independently. In 2024, CIP in Uganda and Mozambique as well as NARS programs namely Zambia, Malawi and Uganda costed their breeding programs. Each program costed three pipelines active in their breeding programs, White Flesh, Orange Flesh and Purple Flesh pipelines. Results are available. In addition, costing of the Orange Flesh pipeline is on-going in Mozambique by the NARS program. The White Flesh pipeline has the largest market value followed by the Orange Flesh. Estimating the cost of crop breeding and its associated research activities help breeders make decisions about resource allocation depending on strategy and technology in use. In addition, costing helps in aligning breeding resources with the business market segments.Item Dataset for: On-farm testing of 11 pre-released elite clones in five provinces of Mozambique, 2024(Dataset, 2025) Makunde, G.S.; Gonzaga, L.; Ssali, R.T.; Yada, B.; Mtonga, A.; Serenje, G.; Odiyo, O.; Musundire, L.CIP Mozambique tested 11 pre-released clones under on-farm for multi-stakeholder validation across five provinces (Niassa, Nampula, Zambezia, Manica and Inhambane) ensuring representation of diverse environments and farmer conditions. Five districts were selected in each province for on-farm trialing and a total of 170 farmers successfully established the trials. The TRICOT design was the experimental design of choice. Most agricultural actors, including farmers, extension officers and other local government representatives were involved in the setting up of trials and their assessment. Farmer and other stakeholders feedback on performance clones will be utilized and incorporated into decisions of variety release and genetic gains in farmers’ fields will be calculated. The validation system strengthened the selection and adoption of new varieties, integrating farmer needs and gender considerations into breeding advancements.Item The Rural Household Multiple Indicator Survey (RHoMIS) data of 54,873 farm households in 35 countries(Dataset, 2024-12-23) Gorman, Léo; Hammond, James; Frelat, Romain; Caulfield, Mark; van Wijk, MarkHere we release the Rural Household Multi-Indicator Survey (RHoMIS) dataset, derived from the open-source RHoMIS toolkit. RHoMIS is designed to simplify the collection, analysis, and dissemination of interoperable data from farm-household surveys. This release harmonizes 54,873 household observations spanning 35 countries in Latin America, Africa, and Asia into a single dataset, collected between 2015 and 2023. The data supports the investigation of system dynamics relating to food production, food security, and pathways out of poverty for smallholder farmers. This dataset is an update and revision of the previous RHoMIS dataset, published in 2020. In this new release we present a database quadruple the size, with observations of 54,873 households from 35 countries and 119 unique projects, collected from 2015 until 2023. These data are accompanied with radically improved analytical routines to process the data and calculate common performance indicators. We report 1599 variables and 41 farm household level indicators, as well as crop-level information (production, area planted, use of the produce, and sale value). We also report gendered decision-making information over the consumption of produced foodstuffs and over the incomes derived from on- and off-farm activitiesItem Dataset for: Baseline Survey of the Project "Group-Based ICT Extension Systems: Evidence from Rural Areas of Peru" in the Provinces of Sanchez Carrion and Pataz, La Libertad Region(Dataset, 2024-12) Suarez, V.; Pradel, W.; Fonseca, C.; Otiniano, R.Baseline Survey: In this baseline data, we collect information about household’s socio-economic characteristics, plots, past production, participation in previous extension projects, etc. This provides information to further analyze heterogeneous effects of the treatment amongst specific subgroups (i.e., by age, gender, etc.). We also administer questionnaires to gauge farmers’ baseline agricultural knowledge and will use this data to group communities into different tournament brackets (see above). The baseline survey was conducted from October 14 to 25, 2024, covering the districts of Huamachuco, Curgos, Chugay, and Cochorco in the province of Sánchez Carrión, as well as the districts of Tayabamba, Pataz, and Pias in the province of Pataz. A total of 1,389 potato producers were surveyed.