Case of Karfiguela in Burkina Faso
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Burkina Faso
STATUS OF AGRICULTURAL INNOVATIONS, INNOVATION PLATFORMS AND INNOVATIONS INVESTMENT Burkina-Faso Program of Accompanying Research for Agricultural Innovation www.research4agrinnovation.org Status of Agricultural Innovations, Innovation Platforms and Innovations Investments in Burkina-Faso iii Contributors to the study Souleymane Ouédraogo (2016). (2016). Status of Agricultural Innovations, Innovation Platforms, and Innovations Investment. 2015 PARI project country report: Republic of Burkina Faso. Forum for Agricultural Research in Africa (FARA), Accra Ghana FARA encourages fair use of this material. Proper citation is requested. Acknowledgements FARA: Yemi Akinbamijo, Fatunbi Oluwole Abiodun, Augustin Kouevi ZEF: Heike Baumüller, Joachim von Braun, Oliver K. Kirui Detlef Virchow, The paper was developed within the project “Program of Accompanying Research for Agricultural Innovation” (PARI), which is funded by the German Federal Ministry of Economic Cooperation and Development (BMZ). iv Table of Contents Study Background vii Part 1: Inventory of Agricultural Technological Innovations Introduction 2 Methodology 3 Concepts and definitions 4 Function, Domain and Types of Innovations 5 Intervention areas 7 Drivers of Innovation 9 Effects of identified innovations 9 Inventory of innovation platforms (IP) 8 Inventory of technologies with high potential for innovation 11 Conclusion 14 Part 2: Inventory and Characterisation of Innovation Platforms Introduction 17 Methodology 18 Maize Grain IP in Leo 20 Choice of maize IP of Leo 22 The Concept -
Water Management of Upper Comoé Basin (Burkina Faso)
2010 Water management of the Upper Comoé river basin, Burkina Faso Dr. Julien Cour WAIPRO project (USAID) International Water Management Institute Ouagadougou, Burkina Faso 16/06/2010 Outlines 1. Introduction ..................................................................................................................... 4 1.1. Objectives ................................................................................................................. 6 1.2 Outlines of the report................................................................................................ 6 2. Water Management in the study area .............................................................................. 7 2.1 Generalities ................................................................................................................... 7 2.2 Water available and water uses ................................................................................ 9 3. Existing water management tools and their potential use ............................................. 14 3.1 Existing tools .......................................................................................................... 14 3.2 The « Comoé Simulation Tool » ........................................................................... 15 3.3 Uptake of the CST by the CLE committee (« comité restreint”) .......................... 18 3.4 Multi-stage stochastic linear program .................................................................... 20 3.5 Available Data ....................................................................................................... -
Repartition Spatiale Des Infrastructures Et Des Services Sociaux De Base Dans La Region Des Cascades En 2015
MINISTERE DE L’ECONOMIE BURKINA FASO ET DES FINANCES ………..………... …..……….... Unité-Progrès-Justice SECRETARIAT GENERAL ………..……….... DIRECTION GENERALE DES POLES DE CROISSANCE ET DE L’APPUI A LA DECENTRALISATION REPARTITION SPATIALE DES INFRASTRUCTURES ET DES SERVICES SOCIAUX DE BASE DANS LA REGION DES CASCADES EN 2015 Rapport final Programme de Renforcement de la Gouvernance Sous-composante Gouvernance économique (PRG-GE) Décembre 2015 TABLE DES MATIERES AVANT-PROPOS ................................................................................................................... III LISTE DES SIGLES ET ABREVIATIONS ............................................................................... IV RESUME .............................................................................................................................. VIII INTRODUCTION ..................................................................................................................... 1 PREMIERE PARTIE: CADRE GENERAL ................................................................................ 2 I- CONTEXTE ET JUSTIFICATION DE L’ETUDE ................................................................... 2 II- OBJECTIFS ET RESULTATS ATTENDUS ......................................................................... 3 III- METHODOLOGIE DE TRAVAIL ........................................................................................ 4 III-1- Collecte des données secondaires .................................................................................. 4 III-2- -
Burkina Faso
USAID’s Act to End Neglected Tropical Diseases | West Program FY2020 Annual Work Plan BURKINA FASO Burkina Faso FY20 Annual Work Plan October 1st, 2019 – September 30th, 2020 TABLE OF CONTENTS I. ACRONYMS ................................................................................................................................................. 3 II. TECHNICAL NARRATIVE ............................................................................................................................. 5 1. National NTD Program Overview ...................................................................................................... 5 2. IR1 ACTIVITIES PLANNED: LF, TRA, OV:.............................................................................................. 5 i. Lymphatic Filariasis ........................................................................................................................... 5 a. Previous and current FY activities and context ............................................................................ 5 b. Plan and justification for FY20 ..................................................................................................... 8 ii. Trachoma........................................................................................................................................ 12 a. Previous and current FY activities and context .......................................................................... 12 b. Plan and justification for FY20 .................................................................................................. -
Bayesian Spatial Modeling of Malnutrition and Mortality Among Under-five Children in Sub-Saharan Africa
Bayesian Spatial Modeling of Malnutrition and Mortality among Under-five Children in sub-Saharan Africa Rasheed Alani Adeyemi June, 2019 Bayesian Spatial Modeling of Malnutrition and Mortality among Under-five Children in sub-Saharan Africa Rasheed Alani Adeyemi Master of Statistics, University of Ilorin, Kwara State, Nigeria Master of Mathematical Statistics, University of Cape Town, South Africa Bachelor of Technology (Ind. Mathematics), Federal University of Technology, Akure A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Thesis Supervisors: Professor Temesgen Zewotir Professor Shaun Ramroop School of Mathematics, Statistics and Computer Science College of Agriculture, Engineering and Science University of KwaZulu-Natal, South Africa Copyright in relation to this Thesis ©Copyright 2019. All rights reserved, University of KwaZulu-Natal, South Africa Dedication ‘Acquire knowledge, it enables its possessor to distinguish right from wrong; it lights the way to Heaven; it is our friend in the desert; our society in solitude, our companion when friendless; it guides us to happiness; it sustains us in misery” ::::::::::::::::::::: The Prophet Mohammad(pbuh). To: Nike my Lovely wife and friend & Halimat Adebusola(F) and Abdulbasit Adedeji(M) my blessed children. i Declaration of Authorship I, RASHEED ALANI ADEYEMI, declare that this thesis titled ’Bayesian spatial Model- ing of Malnutrition and Mortality among under-five children in sub-Saharan Africa’ and the work presented in it are my own. I confirm that: • This work was done wholly or mainly while in candidature for a research de- gree at this University. • No part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution. -
11.3. Zoning of Forest Reserves 11.3.1. Basic Idea of the Zoning
11.3. Zoning of Forest reserves 11.3.1. Basic idea of the Zoning The most important fact regarding zoning of the Gouandougou and Kongouko forest reserves in relation to the basic policies of the management plan for these forest reserves is that the creation of such village organizations as GGFs and a GGF Union as implementing bodies of the management plan will be unrealistic for some time to come. Accordingly, it will be essential for the administration/Forest Service to develop the basics for participatory forest reserve management in the future while conducting the management work (including educational activities and the control of illegal activities, i.e. law enforcement). In other words, the Forest Service should try to enhance the involvement of local villagers in the management of these forest reserves through the use of forest resources in the reserves. When full-scale participatory forest reserve management commences following the establishment of GGFs and a GGF Union in the future, it will be necessary to review the management plan in place, including the zoning plan, with reference to the situation in the Bounouna and Toumousséni forest reserves. Figure 11.2 shows the zoning plan for the Gouandougou forest reserve and Kongouko forest reserve respectively. These two forest reserves are endowed with relatively rich natural resources and the dependence and development pressure of residents of villages near these forest reserves are comparatively low. Accordingly, zones to promote the use of forest products by local villagers will be set up near the villages concerned to provide incentives for local villagers to conserve forest resources. -
PIATA 2019 Outcome Monitoring Report AGRA Burkina Faso Consolidated Report KIT Royal Tropical Institute, Amsterdam 30 April 2020
PIATA 2019 Outcome Monitoring Report AGRA Burkina Faso Consolidated report KIT Royal Tropical Institute, Amsterdam 30 April 2020 PIATA 2019 Outcome Monitoring Report – AGRA Burkina Faso 1/128 Colophon Correct citation: KIT, 2020. Burkina Faso Outcome Monitoring Report 2019, AGRA-PIATA Programme. Alliance for a Green Revolution in Africa, Nairobi; KIT Royal Tropical Institute, Amsterdam. Contributors: KIT fieldwork: Bertus Wennink, Helena Posthumus and Esther Smits KIT team: Geneviève Audet-Bélanger, Verena Bitzer, Coen Buvelot, Peter Gildemacher, Rob Kuijpers, Helena Posthumus, Boudy van Schagen, Elena Serfilippi, Esther Smits, Marcelo Tyszler, Bertus Wennink NAZAN Consulting: Adolphe Kadeoua, Gisèle Tapsoba-Maré and the team of enumerators from NAZAN Consulting Photo: International Institute of Tropical Agriculture (IITA) Language edit: WRENmedia This report has been commissioned by AGRA to monitor its PIATA programme progress in Burkina Faso. KIT Royal Tropical Institute Amsterdam, the Netherlands www.kit.nl AGRA Nairobi, Kenya www.agra.org PIATA 2019 Outcome Monitoring Report – AGRA Burkina Faso 2/128 Contents Colophon 2 Contents 3 Acronyms 5 List of tables 6 List of figures 9 1 Summary of results 10 1.1 Introduction 10 1.2 System analysis 11 1.3 Household survey 14 1.4 SME performance 15 2 Objectives and scope of the report 17 Part I: Qualitative system analysis 19 3 Introduction system analysis 20 3.1 Agricultural policy context 20 3.2 AGRA objectives and activities 21 4 Policy and state capability 23 4.1 System performance 23 4.2 -
Vrs - Burkina Faso
VRS - BURKINA FASO Ouagadougou, le 27/10/2012BAGASSIBALE STATISTIQUES DES BUREAUX DE VOTES PAR COMMUNES \ ARRONDISSEMENTS REGION BOUCLE DU MOUHOUN PROVINCE BALE COMMUNE BAGASSI Secteur/Village Emplacement Bureau de vote Inscrits ASSIO ASSIO II\ECOLE Bureau de vote 1 219 BADIE ECOLE Bureau de vote 1 177 BAGASSI ECOLE Bureau de vote 1 542 BAGASSI TINIEYIO\ECOLE Bureau de vote 1 470 BANDIO ECOLE Bureau de vote 1 253 BANOU ECOLE Bureau de vote 1 191 BASSOUAN ECOLE Bureau de vote 1 201 BOUNOU ECOLE1 Bureau de vote 1 246 BOUNOU ECOLE2\ECOLE1 Bureau de vote 1 233 DOUSSI ECOLE B Bureau de vote 1 206 HAHO CENTRE\CENTRE ALPHABETISATION Bureau de vote 1 177 KAHIN ECOLE Bureau de vote 1 258 KAHO ECOLE Bureau de vote 1 273 KANA ECOLE Bureau de vote 1 269 KAYIO ECOLE Bureau de vote 1 220 KOUSSARO ECOLE Bureau de vote 1 305 MANA ECOLE Bureau de vote 1 495 MANA ECOLE Bureau de vote 2 264 MANZOULE HANGAR Bureau de vote 1 132 MOKO HANGAR Bureau de vote 1 308 NIAGA HANGAR Bureau de vote 1 128 NIAKONGO ECOLE Bureau de vote 1 293 OUANGA HANGAR Bureau de vote 1 98 PAHIN ECOLE Bureau de vote 1 278 SAYARO ECOLE Bureau de vote 1 400 SIPOHIN ECOLE Bureau de vote 1 249 SOKOURA ECOLE Bureau de vote 1 152 VY ECOLE1 Bureau de vote 1 360 VY ECOLE2\ECOLE1 Bureau de vote 1 369 VYRWE MAGASIN Bureau de vote 1 127 YARO ECOLE Bureau de vote 1 327 Nombre de bureaux de la commune 31 Nombre d'inscrits de la commune 8 220 2 REGION BOUCLE DU MOUHOUN PROVINCE BALE COMMUNE BANA Secteur/Village Emplacement Bureau de vote Inscrits BANA KOKOBE\PREFECTURE Bureau de vote 1 353 BANA -
Phd in Agricultural and Environmental Sciences
PHD IN AGRICULTURAL AND ENVIRONMENTAL SCIENCES CYCLE XXXII Coordinator Prof. Pietramellara Giacomo CLIMATE RESILIENT CROPS IN HOT-SPOT REGIONS OF CLIMATE CHANGE THE CASE OF QUINOA IN BURKINA FASO Academic Discipline AGR 02 I declare that this PhD thesis is my own work and that, to the best of my knowledge, it contains no material previously published or written by another person, nor material which to a substantial extent has been accepted for the award of any other degree or diploma of the university or other institute of higher learning, except where due acknowledgment has been made in the text. Correspondence: Jorge Alvar-Beltrán, Department of Agronomy, Food, Environmental and Forestry Sciences and Technology (DAGRI), University of Florence, Piazzale delle Cascine 18, 50144, Florence, Italy. Email address: [email protected]; Tel.: +39-2755741 TABLE OF CONTENTS……………………………………………………………………… p.1 ABSTRACT……………………………………………………………………………………. p.5 RIASSUNTO……………………………………………………………………..…….………. p.6 ACKNOWLEDGEMENTS…………………………………………………………………… p.9 LIST OF FIGURES……………………………………………………………………………. p.11 LIST OF TABLES……………………………………………………….….…………………. p.13 LIST OF ACRONOMYS……………………………………………………………………… p.15 LIST OF ACRONOMYS: UNITS & OTHERS………………………………..……………. p.16 CHAPTER 1: GENERAL INTRODUCTION 1.1. Background information………………………………………………………….…..…….. p.17 1.1.1. Observed and projected regional changes in precipitation……………..…………… p.17 1.1.2. Observed and projected regional changes in temperature…………………..………. p.18 1.1.3. The vulnerability of Burkina Faso to climate change………………….……..……... p.19 1.1.4. Agricultural adaptation to climate change………………………….………..……… p.19 1.2. Justification of the topic and gaps in literature ………….………………………………… p.21 1.3. Research questions and problems addressed………………………………………………. p.22 1.4. Research aims and objectives………………...………………...………………………….. p.23 1.5. Structure of the research…………………………………………………………………… p.24 1.6. -
Final Report Agra Baseline Survey Burkina Faso
AGRA BASELINE SURVEY AGRA Baseline Study in Burkina Faso BURKINA FASO FINAL REPORT AGRA Baseline Study in Burkina Faso Submitted to the Alliance for a Green Revolution in Africa (AGRA) By Institute of Statistical, Social and Economic Research (ISSER), University of Ghana Contributors: Robert D. Oseia, Isaac Osei-Akotoa, Felix A. Asantea, Stephen Afranieb, Aba O. Crentsila, Louis S. Hodeya, Pokuaa Adua, Kwabena Adu-Ababioa, Samuel Dakeya, and Makafui Dzudzora a Institute of Statistical, Social and Economic Research (ISSER), University of Ghana b Centre for Social Policy Studies, University of Ghana Email of Corresponding Author: [email protected] June 2017 AGRA Baseline Study in Burkina Faso Table of Content TABLE OF CONTENT .......................................................................................................................... I LIST OF TABLES ................................................................................................................................. I LIST OF FIGURES ............................................................................................................................. III ACRONYMS AND ABBREVIATIONS .................................................................................................. IV EXECUTIVE SUMMARY .................................................................................................................... 1 INTRODUCTION ........................................................................................................................ 1 BACKGROUND -
Line-Transect Data May Not Produce Reliable Estimates of Interannual Sex-Ratio and Age Structure Variation in West African Savannah Ungulates
Tropical Zoology, 2020 Vol. 33 | Issue 1 | 14-22 | doi:10.4081/tz.2020.67 Line-transect data may not produce reliable estimates of interannual sex-ratio and age structure variation in West African savannah ungulates Emmanuel M. Hema1-3, Yaya Ouattara4, Maomarco Abdoul Ismael Tou4, Giovanni Amori5*, Mamadou Karama4 and Luca Luiselli3,6,7 1Université Dédougou, UFR/Sciences Appliquées et Technologiques, Dédougou, Burkina Faso; 2Laboratoire de Biologie et Ecologie Animales, Université Ouaga 1 Prof Joseph Ki Zerbo, Ouagadougou Burkina Faso; 3Institute for Development, Ecology, Conservation and Cooperation, Rome, Italy; 4Secrétariat Exécutif, AGEREF/CL, Banfora, Burkina Faso; 5Research Institute on Terrestrial Ecosystems, CNR, Rome, Italy; 6Department of Applied and Environmental Biology, Rivers State University of Science and Technology, Port Harcourt, Nigeria; 7Département de Zoologie, Faculté des Sciences, Université de Lomé, Togo Received for publication: 30 April 2019; Revision received: 8 March 2020;only Accepted for publication: 13 March 2020 Abstract: Adult sex ratios and age structures are importantuse wildlife population parameters, but they have been poorly investigated in ungulate species in West African savannahs. We used line transects to investigate these parameters in 11 ungulates from a protected area in south-western Burkina Faso during the period 2010-2018. We created an empirical model of “detectability” for each species based on its main ecological characteristics (habitat and group size) and body size, and then compared the observed interannual inconsistency in sex ratios and age structures with the a priori detectability score. Six out of 11 species showed low interannual inconsistency in sex ratio and age structure. In 82% of the study species, however, the predicted detectability score matched the observed score, with two exceptions being Tragelaphus scriptus and Sincerus caffer. -
Full-Text (PDF)
International Journal of Agricultural Policy and Research Vol.8 (4), pp. 79-96, August 2020 Available online at https://www.journalissues.org/IJAPR/ https://doi.org/10.15739/IJAPR.20.009 Copyright © 2020 Author(s) retain the copyright of this article ISSN 2350-1561 Original Research Article Characterization of the hydrodynamics of an alluvial plain: The case of Karfiguela in Burkina Faso Received 15 April, 2020 Revised 6 July, 2020 Accepted 23 July, 2020 Published 18 August, 2020 Nestor Fiacre The study was carried out on the alluvial plain of Karfiguela, in the far south- COMPAORE1, west of Burkina Faso as part of the Support Program for Irrigation 1 Development (PADI). The current study made it possible to determine the Samuel NAKOLENDOUSSE *, hydrodynamic properties, the directions and directions of flow of the 1 Suzanne YAMEOGO Karfiguela alluvial plain aquifer.The hydraulic shock test method known as and the “slug test” was chosen for the determination of the hydraulic Sayoba KAFANDO1 conductivity, supported by two analysis methods: the Hvorslev method and the Bouwer and Rice method. The hydraulic conductivity values obtained 1Department of Earth Sciences, were compared, and subsequently, those obtained by the method of Bouwer Georessources Laboratory, and Rice were considered for interpretations. It can therefore be noted that University Joseph KI-ZERBO, the average conductivity values of the sites are between 6, 25.10-5 m.s-1 and Burkina Faso 3.81.10-6 m.s-1. The maximum value obtained is 4.31.10-4 m.s-1 and the minimum value is 9, 74.10-9 m.s-1.