Climate variability and change threaten and impact negatively on biodiversity, agricultural sustainability, ecosystems, and economic and social structures – factors that are all vital for human resilience and wellbeing. To cope with these challenges, embracing sustainability in food production is therefore essential. Practising sustainable agriculture is one way of ensuring sustainability in pro-poor farming communities in low-income countries.
This study, evaluates the intervening influence of extension services on livelihood impacts of drought tolerant maize adoption and the potential mechanisms through which extension can enhance or reduce impact of drought tolerant maize using cross-sectional household level data from smallholder maize producers in Zimbabwe. Specifically, we examine whether access to agriculture extension services influences the relationship between livelihood outcomes and the adoption of drought-tolerant maize varieties in selected districts in the country
This study aims to contribute to literature on climate smart agriculture (CSA) scaling by identifying institutional and policy strategies that can help effect scaling of CSA practices in developing regions particularly SSA region. Increased adoption rates are more likely to enhance the overall impact of CSA innovations on productivity, food security, livelihoods and overall sustainability of agriculture. Furthermore, the study seeks to highlight and suggest possible approaches/strategies that the research and development community can adopt in taking CSA to scale.
One of the very numerous decisions that smallholder farmers face world wide relates to market participation inagricultural markets and, consequently choosing the appropriate marketing channel for their agricultural produce.Such decisions impact on their incomes and subsequently on their welfare. The objective of this study was todetermine how a multi-stakeholder innovation platform approach influences pigeon pea (Cajanus Cajan L.)marketing decisions in smallholder farming in Malawi.
Understanding diversity of smallholder farm households is of critical importance for the success of development interventions. Farming households often will devise livelihood strategies that provide the best guarantee for survival and based on their socioeconomic vulnerability. This study examines how achievements from the Integrated Agricultural Research for Development (IAR4D) approach through participation in innovation platform activities accrue to smallholder farming households of diverse socioeconomic status.
ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
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.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. 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.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
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.