Mapping and Comparison of Maize Products Value Chains in Nigeria and Rwanda

Maize products are very significant for domestic consumption as well as industrial uses both locally and globally. For there to truly appreciate the spread of maize production in Africa, the geospatial mapping and subsequent comparison of the value chain for Nigeria and Rwanda were necessitated hence the purpose of this study. Farm mapping geospatial techniques and remotely sensed data were used for both Nigeria and Rwanda in this study. GIMMS Global Agricultural Monitoring data from United States Department of Agriculture (USDA) were adopted for Nigeria and Rwanda. The crop calendars of both countries were examined which thereafter reviewed a marked distinction among them. The results of the agroecological zones for the two countries showed a significant variation in their distribution and types, which in turn affect both the planting and harvesting of maize; storage, marketing, processing, and policy framework for maize products value chain in Nigeria and Rwanda. Mapping of the two countries was carried out and the normalized differential vegetation index (NDVI) and the policy associated with maize value chains were checked and reported.

[1]  Apurba Shee,et al.  Farmer preferences for adopting drought-tolerant maize varieties: evidence from a choice experiment in Nigeria. , 2021 .

[2]  I. Nzeyimana Assessment of Farmer-Led Irrigation Development in Rwanda , 2021 .

[3]  H. Tonnang,et al.  Bioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa , 2021, PloS one.

[4]  A. Adam,et al.  The Role of National Farmers Helps Line in Agricultural Information Dissemination Among Crop Farmers in Nigeria: A Case Study of Farmers Help Line Centre, NAERLS ABU Zaria , 2021 .

[5]  P. Thornton,et al.  Impacts of climate change on the livestock food supply chain; a review of the evidence , 2021, Global food security.

[6]  S. A. R. Khan,et al.  Disruption in food supply chain and undernourishment challenges: An empirical study in the context of Asian countries , 2021 .

[7]  G. Obare,et al.  Supply and demand responsiveness to maize price changes in Kenya: An application of error correction autoregressive distributed lag approach , 2021, Cogent Food & Agriculture.

[8]  D. Pelster,et al.  Closing maize yield gaps in sub-Saharan Africa will boost soil N2O emissions , 2020, Current Opinion in Environmental Sustainability.

[9]  L. Kitinoja,et al.  Commodity system assessment on postharvest handling, storage and marketing of maize (Zea mays) in Nigeria, Rwanda and Punjab, India , 2020 .

[10]  N. Palacios-Rojas,et al.  Maize agro-food systems to ensure food and nutrition security in reference to the Sustainable Development Goals , 2020 .

[11]  R. Santpoort The Drivers of Maize Area Expansion in Sub-Saharan Africa. How Policies to Boost Maize Production Overlook the Interests of Smallholder Farmers , 2020, Land.

[12]  T. Reardon,et al.  “Essential non‐essentials”: COVID‐19 policy missteps in N igeria rooted in persistent myths about A frican food supply chains , 2020 .

[13]  Rukundo Placide,et al.  Yield and yield components of CIP advanced potato clones under Rwandan agro-ecologies , 2019, Journal of Applied Biosciences.

[14]  Seung Gyu Kim,et al.  Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda , 2019, Agriculture.

[15]  S. Secchi,et al.  A Regional Comparison of Factors Affecting Global Sorghum Production: The Case of North America, Asia and Africa’s Sahel , 2019, Sustainability.

[16]  J. Kuwornu,et al.  Assessing Maize Farmers’ Adaptation Strategies to Climate Change and Variability in Ghana , 2019, Agriculture.

[17]  S. Silvestri,et al.  Analysing the potential of plant clinics to boost crop protection in Rwanda through adoption of IPM: the case of maize and maize stem borers , 2019, Food Security.

[18]  Joseph Fiksel,et al.  The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience , 2019, Journal of Business Logistics.

[19]  Michele Meroni,et al.  ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis , 2019, Agricultural systems.

[20]  A. Nawaz,et al.  Advanced Production Technologies of Maize , 2019, Agronomic Crops.

[21]  A. Torre,et al.  Proximities and the role of relational networks in innovation: The case of the dairy industry in two villages of the “green municipality” of Paragominas in the Eastern Amazon , 2019, Regional Science Policy & Practice.

[22]  Nathan Clay Seeking justice in Green Revolutions: Synergies and trade-offs between large-scale and smallholder agricultural intensification in Rwanda , 2018, Geoforum.

[23]  G. Aye,et al.  Analysis of Maize Value Addition among Entrepreneurs in Taraba State, Nigeria , 2018 .

[24]  J. A. Ogbodo,et al.  GIS-Based Assessment of Smallholder Farmers’ Perception of Climate Change Impacts and Their Adaptation Strategies for Maize Production in Anambra State, Nigeria , 2018, Corn - Production and Human Health in Changing Climate.

[25]  M. Misiko,et al.  Gender and equitable benefit-sharing mechanisms through Agricultural Innovation Platforms in Rwanda , 2018, Community Development.

[26]  H. Y. Ibrahim,et al.  IMPACT OF THE GROWTH ENHANCEMENT SUPPORT SCHEME (GESS) ON MAIZE FARMERS IN DUTSINMA LOCAL GOVERNMENT AREA OF KATSINA STATE, NIGERI , 2018 .

[27]  P. Nkegbe,et al.  Assessing the technical efficiency of maize production in northern Ghana: The data envelopment analysis approach , 2018 .

[28]  Y. IbrahimH.,et al.  IMPACT OF THE GROWTH ENHANCEMENT SUPPORT SCHEME ( GESS ) ON MAIZE FARMERS IN DUTSINMA LOCAL GOVERNMENT AREA OF KATSINA STATE , NIGERIA , 2018 .

[29]  F. Akinyemi Land change in the central Albertine rift: Insights from analysis and mapping of land use-land cover change in north-western Rwanda , 2017 .

[30]  R. Darnell,et al.  An initial characterization of aflatoxin B1 contamination of maize sold in the principal retail markets of Kigali, Rwanda , 2017 .

[31]  P. Byishimo ASSESSMENT OF CLIMATE CHANGE IMPACTS ON CROP YIELDS AND FARMERS’ ADAPTATION MEASURES: a case of Rwanda , 2017 .

[32]  S. Shekhawat,et al.  Maize Utilization in India: An Overview , 2016 .

[33]  G. Gereffi,et al.  Maize value chains in East Africa , 2016 .

[34]  A. Olaniyan Maize: Panacea for hunger in Nigeria , 2015 .

[35]  G. Meera Gandhi,et al.  Ndvi: Vegetation Change Detection Using Remote Sensing and Gis – A Case Study of Vellore District☆ , 2015 .

[36]  Juan Pablo Peña-Rosas,et al.  Global maize production, utilization, and consumption , 2014, Annals of the New York Academy of Sciences.

[37]  M. Garcia-Casal,et al.  Processing maize flour and corn meal food products , 2013, Annals of the New York Academy of Sciences.

[38]  S. Visser,et al.  FARMERS' KNOWLEDGE AND PERCEPTION OF AGRICULTURAL WETLAND MANAGEMENT IN RWANDA , 2013 .

[39]  J. Hellin,et al.  Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security , 2011, Food Security.

[40]  A. Banful Old Problems in the New Solutions? Politically Motivated Allocation of Program Benefits and the “New” Fertilizer Subsidies , 2011 .

[41]  B. Vorley Under what conditions are value chains effective tools for pro-poor development ? , 2011 .

[42]  P. Thornton,et al.  The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know , 2009 .