Feeding livestock through partnerships.
Notice bibliographique
Résumé
Addressing issues of animal feed scarcity has the potential of raising incomes and improving the lives of smallholder farmers across the tropics. Though technical solutions have been available for years and have been reported as superior by farmers, adoption has been lacking. Through action research, a coalition of partners examined approaches to increase fodder production in Nigeria. Initially prominence was given to technological solutions; partners were approached to help with scaling-up and adapting the technology to local situations. During the project, it became clear that the issue of fodder scarcity is much more complex and introduction of simple technologies was not enough. As a result, the coalition of partners implementing the project has been shifting focus towards the institutional interactions between partners N.C. de Haan, D. Romney, P. Bezkorowajnyj and O. Olufajo 2006 Feeding livestock through partnerships. Knowledge Management for Development Journal 2(3), 123-135 www.km4dev.org/journal 135 and the capacity required to facilitate the changes within and between them to enable innovation and help address issues related to fodder scarcity. This paper describes the evolution of an approach and the experiences that provided a better understanding of the role of partnerships and how bridging the divides through capacity building will help better address fodder scarcity. About the authors Nicoline de Haan has been working with ILRI and IITA in Nigeria since 2000. As a rural sociologist, she initially worked on a fodder adoption project, which laid the groundwork for the present fodder innovation project. She has been interested in the sociology of knowledge and understanding how people access information and resources to improve their livelihoods. She has worked in East Africa, and is presently based as a consultant in Accra, Ghana. Email: n.dehaan@cgiar.org Dannie Romney has been Acting Director of the Enabling Innovation theme at ILRI since June 2005. This theme addresses the issue of how to build innovation capacity and is exploring the use of innovation systems perspectives in research and the role of scientists vis-a-vis other actors in multi-stakeholder research. She has been working for ILRI since 1999 when she joined the Market Oriented Smallholder Dairy group as a Feed Resources and Nutrient Cycling scientist. In 2007 she will move from ILRI to become the Knowledge and Innovation Systems Coordinator at the CABI-Africa office in Nairobi. Email: d.romney@cgiar.org Peter Bezkorowajnyj works for ILRI and is the Project Manager for the Fodder Innovations Project focusing on improving the livelihoods of poor livestock-dependant farmers in developing countries. He is presently based at ICRISAT Campus, Hyderabad, India. After his association with the University of Guelph in Canada, he worked for the University of Wales as a research fellow from 1991 to 2000, for Care International in Bangladesh and Concern Worldwide in Afghanistan before joining ILRI in September 2003. He has also worked on short and long term assignments in several other countries including Thailand, Laos, Nepal, Vietnam, Uzbekistan, Ethiopia and Tanzania. Email: p.bezkorowajnyj@cgiar.org Olusoji Olufajo worked on the Fodder Innovations project as visiting scientist in Nigeria. He has years of experience working with crop livestock systems in Northern Nigeria. He presently works as Professor at the Department of Agronomy, Institute for Agricultural Research, Ahmadu Bello University, Zaria, Nigeria. Email: o.olufajo@cgiar.org 1 Proposition made by Godwin Kojo Ayenor in defense of his PhD entitled ’Capsid Control for Organic Cocoa in Ghana’, 16 th October 2006. 2 The Department for International Development, UK 3 This group comprised the International Livestock Research Institute (ILRI), International Centre for Tropical Agriculture (CIAT), International Institute of Tropical Agriculture (IITA), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) 4 NLPD: National Livestock Project Division; ADP: agricultural development projects
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».