L-R: Clemens Breisinger, NPS Initiative Global Lead; Antonia Taiye Simbine, DG, NISER; Senator Bima Mohammed Enagi, Chairman, Senate Committee on Agriculture; Dawn Thomas, Acting Director, Office of Economic Growth and Environment, USAID/Nigeria; Engr. Ubandoma Ularamu representing the Hon. Minister of Agriculture; and Charlotte Hebebrand, Director of Communications and Public Affairs, IFPRI. Photo credits: Adetunji Fasoranti/IFPRI […]
Why gender-sensitive social protection is critical to the COVID-19 response in low- and middle-income countries
The COVID-19 pandemic and restrictions on movement to control the spread of infection are having profound impacts on the income and daily lives of people in low- and middle-income countries, particularly the poor. Governments and donors are responding by expanding social protection programs. Melissa Hidrobo, Neha Kumar, Tia Palermo, Amber Peterman, and Shalini Roy describe […]
Is Rural Non-Farm Employment an Obstacle to Increased Rice Production?
Sule, Balaraba Abubakar: MSU NAPP Scholar 2019; Lecturer, Ibrahim Badamosi Babangida University, Lapai; and PhD Candidate, Federal University of Technology, Minna One of the major ways by which the gap between rice production and consumption in an economy can be bridged is through the expansion of land under cultivation and intensification on existing farmland (Laborte, […]
STAKEHOLDER ENGAGEMENT, COLLABORATIVE RESEARCH AND CAPACITY STRENGTHENING
A research dissemination and brainstorming session on addressing the challenges of aflatoxin contamination along the maize value chain took place at the National Agency for Food and Drugs Administration and Control (NAFDAC), Abuja on July 17, 2019. It was jointly organized by the Feed the Future Nigeria Agricultural Policy Project (NAPP) and NAFDAC.
“TRAIN ONE TO TRAIN OTHERS”: PROJECT SCHOLARS TRAIN NIGERIAN FACULTY ON USING “R” FOR DATA ANALYSIS
By Mr. Chukwudi Charles Olumba and Mrs. Hephzibah Onyeje Obekpa “Train One to Train Others": Project Scholars Train Nigerian Faculty on Using "R" for Data Analysis
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