13 Works

InnovAfrica project baseline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

Ahmad Athman, Alice Murage, Anne Gichangi, Bosena Tegegne, David Banda, Donald Njarui, Elias Gichangi, Esther Bloem, Felix Nandonde, Feyisa Hundessa, Harald Puhl, Jacqueline Tuyisenge, Jessica Ndubi, Kenneth Mapunda, Laifolo Dakishoni, Leonidas Dusengemungu, Lindumusa Myeni, Lizzie Shumba, Mangani Katundu, Mengistu Ketema, Mokhele Moeletsi, Mufunanji Magalasi, Mulalo Thavhana, Mupenzi Mutimura, Mwangi Gatheru … & Sita Ghimire
A data set was generated thorugh surveys to establish a baseline inforamtion for a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutrition Security in Africa (Acronym - InnovAfrica)". The InnovAfrica is a consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa and the project was implemented in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa...

Data from: Bean yield and economic response to fertilizer in eastern and southern Africa

K. C. Kaizzi, A. R. Cyamweshi, C. N. Kibunja, C. Senkoro, D. Nkonde, R. Maria, C. S. Wortmann, L Nabahungu & Charles Wortmann
Bean (Phaseolus vulgaris L.) is important in sub-Saharan Africa for human dietary protein. Low yields are attributed to biotic and abiotic constraints including inadequate nutrient availability. Research was conducted to determine nutrient response functions for bean production areas of Kenya, Mozambique, Rwanda, Tanzania, and Zambia. Mean trial yields ranged from 0.32 to 2.60 and 1.72 to 2.89 Mg ha-1 for bush and climbing bean, respectively. Response to N was common except in Kenya and Mozambique....

Data from: Colonization of the Mediterranean Basin by the vector biting midge species Culicoides imicola: an old story

Stephanie Jacquet, Claire Garros, Eric Lombaert, Catherine Walton, Johana Restrepo, Xavier Allene, Thierry Baldet, Catherine Cetre-Sossah, Alexandra Chaskopoulou, Jean-Claude Delecolle, Amelie Desvars, Mouloud Djerbal, Moussa Fall, Laetitia Gardes, Michel De Garine-Wichatitsky, Maria Goffredo, Yuval Gottlieb, Assane Gueye Fall, Muo Kasina, Karien Labuschagne, Youssef Lhor, Javier Lucientes, Thibaud Martin, Bruno Mathieu, Miguel Miranda … & J.-C. Delecolle
Understanding the demographic history and genetic make-up of colonizing species is critical for inferring population sources and colonization routes. This is of main interest for designing accurate control measures in areas newly colonized by vector species of economically important pathogens. The biting midge Culicoides imicola is a major vector of orbiviruses to livestock. Historically, the distribution of this species was limited to the Afrotropical region. Entomological surveys first revealed the presence of C. imicola in...

Innovafrica project data on agricultural food value chains

Chiara Perelli, Giacomo Branca, Luca Cacchiarelli, Donald Njarui, Esther Lupafya, Feyisa Hundessa, Joseph Hella, Mercy Mburu, Mokhele Moeletsi, Mufunanji Magalasi, Mupenzi Mutimura & Alessandro Sorrentino
A dataset was generated using the baseline survey data of the project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutrition Security in Africa (Acronym - Innovafrica)", which involved 16 istitutions from Europe and Africa and was implemented in six countries namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania. It includes the following information: smallholders' socio-demographic and economic characteristics; improved agriculture practices and seed systems adopted; climate...

Data from: Diagnosis of crop secondary and micro-nutrient deficiencies in sub-Saharan Africa

Charles S. Wortmann, Kayuki C. Kaizzi, Nouri Maman, Athanase Cyamweshi, Mohamed Dicko, Maman Garba, Maribeth Milner, Catherine Senkoro, Bitrus Tarfa, Francis Tettah, Catherine Kibunja, Moses Munthali, Patson Nalivata, Davy Nkonde, Leon Nabahungu, Korodjouma Ouattara & Idriss Serme
Crop production in sub-Saharan Africa has numerous biotic and abiotic constraints, including nutrient deficiencies. Information on crop response to macronutrients is relatively abundant compared with secondary and micronutrients (SMN). Data from 1339 trial replicates of 280 field trials conducted from 2013 to 2016 in 11 countries were analyzed for the diagnosis of SMN deficiencies. The diagnostic data included relative yield response (RYR) and soil and foliar test results. The RYR to application of a combination...

Validation of the best bet Urochloa (Brachiaria) grass cultivars for increasing feed availability and improve livestock productivity in selected sites in Kenya

Donald Njarui, Mwangi Gatheru & Elias Gichangi
The trials were carried out at the Kenya Agricultural and Livestock Research Organization's Centre Mwea and Kamweti Agricultural Training Centre (ATC), both in Kirinyaga County.

InnovAfrica project endline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

Ahmad Athman, Alice Murage, Anne Gichangi, Celestin Hitimana, David Banda, Donald Njarui, Esther Bloem, Esther Lupafya, Fekadu Beyene, Feyisa Hundessa, Jessica Ndubi, Kenneth Mapunda, Kibebew Kibret, Laifolo Dakishoni, Lindumusa Myeni, Lizzie Shumba, Mangani Katundu, Mokhele Moeletsi, Maximillian Manzi, Mufunanji Magalasi, Mupenzi Mutimura, Mwangi Gatheru, Sabelo Mazibuko, Tewodros Bezu, Victoria Ndolo … & Sita Ghimire
A consortium of 16 institutions comprising five institutions from Europe and eleven institutions from Africa implemented a project entitled "Innovations in Technology, Institutional and Extension Approaches towards Sustainable Agriculture and enhanced Food and Nutritional Security in Africa (InnovAfrica)" in six countries of eastern and southern Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania from June 2017 to November 2021. The InnovAfrica project collected endline data from 12 pilot sites (two sites per country)...

Data from: Wheat nutrient response functions for the East Africa highlands

Athanase R. Cyamweshi, Leon N. Nabahungu, Catherine J. Senkoro, Catherine Kibunja, Athanase Mukuralinda, Kayuki C. Kaizzi, Simon M. Mvuyekure, John Kayumba, Keziah W. Ndungu-Magiroi, Mary N. Koech, Charles S. Wortmann & Charles Wortmann
Wheat (Triticum æstivum L.) is an important East Africa highland crop but yields are low. Information is scarce for optimization of fertilizer use. Research was conducted to determine yield response functions for N, P and K, and to diagnose Mg–S–Zn–B deficiencies. The average grain yield increase in Rwanda due to N application was 1.5 Mg ha−1 with a mean economically optimal rate (EOR) of 68 kg ha−1 N. In Kenya and Tanzania, yield was increased...

Data from: Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya

Winnie A. Okeyo, Norah P. Saarman, Michael Mengual, Kirstin Dion, Rosemary Betata, Paul O. Mireji, Sylvance Okoth, Johnson O. Ouma, Collins Ouma, Joel Ochieng, Grace Murilla, Serap Aksoy & Adalgisa Caccone
Background: Glossina pallidipes is a major vector of both Human and Animal African Trypanosomiasis (HAT and AAT) in Kenya. The disease imposes economic burden on endemic regions in Kenya, including south-western Kenya, which has undergone intense but unsuccessful tsetse fly control measures. We genotyped 387 G. pallidipes flies at 13 microsatellite markers to evaluate levels of temporal genetic variation in two regions that have been subjected to intensive eradication campaigns from the 1960s to the...

Phylogeography and population structure of the tsetse fly Glossina pallidipes in Kenya and the Serengeti ecosystem

Norah Saarman, Rosemary Bateta, Winnie Okeyo, Kirstin Dion, Paul Mireji, Sylvance Okoth, Imna Malele, Grace Murilla, Serap Aksoy & Adalgisa Caccone
Glossina pallidipes is the main vector of animal African trypanosomiasis and a potential vector of human African trypanosomiasis in eastern Africa where it poses a large economic burden and public health threat. Vector control efforts have succeeded in reducing infection rates, but recent resurgence in tsetse fly population density raises concerns that vector control programs require improved strategic planning over larger geographic and temporal scales. Detailed knowledge of population structure and dispersal patterns can provide...

Data from: Maize-nutrient response functions for Eastern and Southern Africa

Charles S. Wortmann, Catherine Senkoro, Athanase R. Cyamweshi, Catherine Kibunja, Davy Nkonde, Moses Munthali, Patson Nalivata, Léon N. Nabahungu, Kayuki Kaizzi & Charles Wortmann
Information is scarce for maize (Zea mays L.) response to nutrient application for many production areas in tropical Africa. Research was conducted to determine macronutrient response functions and to diagnose Mg–S–Zn–B deficiencies. Site–year × N-rate interactions within countries often accounted for little variation in yield relative to the N-rate effect. Country mean grain yield responses to N-rate were curvilinear to plateau, but linear in Malawi. Although mean yields differed, the response to N was similar...

Data from: Maize-nutrient response information applied across Sub-Saharan Africa

Charles S. Wortmann, Maribeth Milner, Kayuki C. Kaizzi, Maman Nouri, Athanase R. Cyamweshi, Mohammed K. Dicko, Catherine N. Kibunja, Martin Macharia, Ricardo Maria, Patson C. Nalivata, Negash Demissie, Davy Nkonde, Korodjouma Ouattara, Catherine J. Senkoro, Bitrus Dawi Tarfa & Francis M. Tetteh
The profit potential for a given investment in fertilizer use can be estimated using representative crop nutrient response functions. Where response data is scarce, determination of representative response functions can be strengthened by using results from homologous crop growing conditions. Maize (Zea mays L.) nutrient response functions were selected from the Optimization of Fertilizer Recommendations in Africa (OFRA) database of 5500 georeferenced response functions determined from field research conducted in Sub-Saharan Africa. Three methods for...

A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning

Anusha Bishop, Giuseppe Amatulli, Chaz Hyseni, Evlyn Pless, Rosemary Bateta, Winnie Okeyo, Paul Mireji, Sylvance Okoth, Imna Malele, Grace Murilla, Serap Aksoy & Norah Saarman
Introduction - Control of vector populations is an effective strategy for addressing vector-borne disease transmission. Effective vector control requires knowledge of habitat use and connectivity. Our goal was to improve this knowledge for the tsetse species Glossina pallidipes, a vector of animal African trypanosomiasis, which is a wasting disease in livestock and represents a serious socioeconomic burden across sub-Saharan Africa. Methods and Results - We used random forest regression to: (i) Build and integrate models...

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  • 2022
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Resource Types

  • Dataset
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Affiliations

  • Kenya Agricultural and Livestock Research Organization
    13
  • Rwanda Agriculture Board
    7
  • University of Nebraska - Lincoln
    5
  • Sokoine University of Agriculture
    3
  • Lilongwe university of Agriculture and Natural Resources
    3
  • Yale University
    3
  • Agricultural Research Council of South Africa
    3
  • University of Malawi
    3
  • Haramaya University
    3
  • Institut National de la Recherche Agronomique du Niger
    2