At the 5th Global Science Conference on Climate-Smart Agriculture in Bali, CCAFS, IFAD and USDA-FAS organized the Side event “Accelerating innovation development and scaling climate-smart agriculture to drive a transformation in food systems”. High-level representatives of > 20 governments, research, donor, financial and policy institutions, civil society and private sectors discussed their previously shared insights and agreed to act as an “Insight Group” for further related CCAFS research and action.
Du 3 au 5 au novembre 2020, s’est tenu à Kaffrine au Sénégal, l’atelier des acteurs régionaux pour le développement du profil de risque climatique de la région de Kaffrine. L’atelier a été organisé dans le cadre du projet de « développement de chaînes de valeur et paysage climato-intelligents pour accroitre la résilience des moyens de subsistance en Afrique de l’Ouest », financé par l’Union européenne (UE) et mis en œuvre par le CCAFS au Mali, Niger et Sénégal en partenariat avec les instituts de recherches agricoles nationaux (IER, INRAN, ISRA).
With support from The Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA), through a call for proposal, Hello Tractor an agriculture technology social enterprise has been selected to implement ICT-enabled smallholder mechanisation services with the objective to create jobs for youth across Nigeria and Kenya over a one-year period. Hello Tractor has a bold vision to create sustainable value for tractor owners and to radically transform how the smallholder agricultural ecosystem interacts with and derives value from technology.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
Digital platform enhances genetic progress in community-based sheep and goat breeding programs in Ethiopia:
- Up-to-date information on estimated breeding values and animal rankings is directly channeled to breeder organizations and used for selection decisions.
- The digital platform motivated use of more complicated evaluation models which improve accuracy of breeding values considerably.
- When upscaled, this will help create a permanent multi-country source of information.
A worthy agricultural innovation system (AIS) is one that that helps an agricultural sector be productive, sustainable and resilient and facilitates reduction in poverty and malnutrition. How can an AIS be made resilient in the context of the COVID-19 pandemic is a question pondered in this note. The key issue will be continued strong investment in knowledge and technology creation that underpins growth in productivity and the active pursuit of mechanisms that make agriculture more resilient to the emerging environments challenges around the world.
This study uses 344 women and men survey respondents involved in conservation agriculture (CA) and small-scale irrigation schemes (SSIS) as data sources for examining the effect of gendered constraints for adopting climate-smart agriculture amongst women in three areas in Ethiopia. Qualitative and quantitative data collections were applied using survey, in-depth interviews and focus group discussions. Quantitative data were analyzed using descriptive statistics, Pearson's chi-square test and binary logistic regression using statistical software for the social sciences (SPSS) version 24.
Agriculture remains the mainstay of Indian economy and major source of livelihood of rural household, predominantly by small and marginal farmers, and securing the food and nutritional security. This paper describes the reality of small and marginal farmers in India. These farmers face several problems of credit, input supply, proper linkage with market as so on. Women farmers are lagging behind in adopting the drudgery reduction technologies followed by health and nutrition of farm families.
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.