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Framework for Agricultural Data Collection in IFSERAR Mandate States

Framework for Agricultural Data Collection in IFSERAR Mandate States . Out Line. Background Core sub- sectoral data needs - Crops - Live stock - Fisheries Potential Sources of secondary Data Collaboration options . Background.

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Framework for Agricultural Data Collection in IFSERAR Mandate States

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  1. Framework for Agricultural Data Collection in IFSERAR Mandate States

  2. Out Line • Background • Core sub-sectoral data needs - Crops - Live stock - Fisheries • Potential Sources of secondary Data • Collaboration options

  3. Background Food Security and Socio-economic Research programme (FSSRP) is one of eight (8) IFSERAR Research Programmes It is to: i. periodically assess the performance of each IFSERAR mandate state with regard to food security and related issues; and ii. support IFSERAR management on resource use, activity, planning, monitoring and evalution.

  4. Background Continued To do above, it is expedient for the FSSRP to conduct sample surveys to generate primary data to be complemented with secondary data which should meet the data needs of the different research programmes. Three issues are critical: - data quality/accuracy - cost-effectiveness - sustainability of the process.

  5. Background continued Status quo • Direct recruitment of temporary staff to collect data; and • Collaboration with ADPs and other agencies that generate primary agricultural data.

  6. Core sub-sectoral data Crops: • average yield (tonnes/ha) of each crop (as sole and in each major cropping system) • area (ha) cropped to each crop (as sole and in each major cropping system) • output (tonnes) of each crop • average size of farm holding (ha) • proportion of farmers into the production of each crop

  7. Crops Continued • post-harvest handling * agro-input prices, ₦. • major agricultural commodity prices, ₦. • international prices of tradable commodities, US$ • cost profile and returns of each major cropping system • subsistence/commercial level of farmers • utilization levels of improved agro-inputs among farmers • major agronomic practices of farmers

  8. Crops Continued • basic socio-economic characteristics of farmers (age, household, educ level etc.) • farm gate and extra-farm gate losses • access to credit, insurance, extension services • produce marketing • structure of annual food import and cost • weather statistics (rainfall—number of rainy days/month, quantity; humidity; etc.

  9. Livestock • types of major livestock in each mandate state • size of each major livestock type in the mandate states • proportion of farmers into aechlivestock • average livestock holding per farmer • output of each type of livestock • major farm practices of farmers • access to credit, insurance, extension services

  10. Livestock Continued • access to vet services • utilization levels of improved agro-inputs • marketing of livestock • subsistence/commercial levels of farmers • production constraints

  11. Fisheries • number of artisanal fishers • number of industrial fishers • average seasonal catch per artisanal fisher • average seasonal catch per industrial fisher • number of fish farmers • structure of aquacultural farms • average size of farm types • average productivity of farm types

  12. Fisheries Continued • aggregate fish production per state • major practices of fishers • utilization of improved inputs • produce and input prices • access to credit, extension services etc. • production constraints • fish processing • fish product loss

  13. Potential Sources of Secondary Data a. ADPs – conduct of annual Agricultural Production Survey (APS), fortnightly market price survey (MPS) and ad hoc/ project-related surveys. [Conducting the Village Listing Survey (VLS) is long overdue in several states.] b. National Agricultural Research Institutes (NARIs) with adequate facilities to support the conduct of sample surveys inclusive of Nigerian Institute for Socio-Economic Research (NISER).

  14. Potential Sources of Secondary Data cont’d c. Other agencies in agricultural data generation/ sourcing and utilization e.g. Central Bank of Nigeria (CBN), National Bureau of Statistics (NBS), State Bureau of Statistics --- how to be on respective distribution lists for publications. d. International secondary sources of data will, also, be explored as necessary.

  15. Collaboration Options • Collaborative conduct of surveys. • The possibility of IFSERAR paying the allowances of a number of enumerators, especially, in ADPs. c. Inclusion of each collaborator in the (publication) distribution list of the other collaborator. d. Each agency should be able to, also, elaborate on the kind of collaboration that will work with IFSERAR.

  16. Summarized IFSERAR Agricultural Data Sources Primary Data Secondary Data Local - NBS - State ADPs - CBN - NPC - State Statistics department - NISER - NARIs - Meteorological Services - Others - Sole – IFSERAR Collaboration - IFSERAR – ADP - IFSERAR – NARI - IFSERAR - NISER

  17. Summarized IFSERAR Agricultural Data Sources Cont’d Secondary Data International - IFPRI - FAO - WTO - WMO - UNDP - Others

  18. Primary Data Collection/Reporting Flow

  19. Primary Data Collection/Reporting Flow Cont’d

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