9 Works

Forage evaluation in acidic soil and dry areas of Rwanda

Mupenzi Mutimura
A study aimed at characterising nutritive value of introduced Brachiaria grasses in Rwanda was conducted. Four Brachiaria grasses including, Brachiaria decumbens cv. Basilisk, Brachiaria brizantha cv. MG4, Brachiaria brizantha cv. Piatã and Brachiaria cv. Cayman with Panicum coloratum as control were planted in two contrasting areas (low rainfall-Kirehe district and acidic soils - Nyamagabe district) and harvested after 60 days and 90 days. The experiment was set in a randomized complete block design (RCBD) with...

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...

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: 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....

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...

Mitigating Aflatoxin in Rwanda

Tim Herrman, Vivian Hoffmann, Illuminee Kamaraba & Matieyedou Konlambigue

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: 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...

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...

Registration Year

  • 2022
    5
  • 2018
    4

Resource Types

  • Dataset
    8
  • Text
    1

Affiliations

  • Rwanda Agriculture Board
    9
  • Kenya Agricultural and Livestock Research Organization
    7
  • University of Nebraska - Lincoln
    4
  • Sokoine University of Agriculture
    3
  • Agricultural Research Council of South Africa
    3
  • University of Malawi
    3
  • Haramaya University
    3
  • Lilongwe university of Agriculture and Natural Resources
    2
  • International Livestock Research Institute
    2
  • Norwegian Institute of Bioeconomy Research
    2