10 research outputs found
Farmers’ intentions to adopt Triple S for sweetpotato seed conservation
In Uganda, farmers in arid and semi-arid areas lack sweetpotato seed after dry spells. This constrains the crop’s potential to contribute to food security. Triple S (sand, storage, sprouting) is a root-based technology addressing seed scarcity. Despite the technology’s efficacy, a systematic assessment of its demand has not been done. A study was undertaken to assess how Knowledge, Attitudes, Norms and Perceptions influence farmers uptake of the Triple S, using a structured questionnaire with 255 farmers stratified into users (n = 132) and non-users (n = 123). Sex-disaggregated focus groups were conducted with 40 farmers. The Theory of Planned Behavior and Technology Adoption Model were used to test hypotheses on Triple S adoption. Perceived Behavior Control, Perceived Usefulness and Knowledge positively predicted Behavior Intention (BI) only for non-users, while Attitude, Subjective Norms and Agency predicted BI for users. Gender Norms negatively influenced Agency for both groups. Gender-responsive adoption strategies may enhance technology uptake
Indicators for the on-farm assessment of crop cultivar and livestock breed diversity: a survey-based participatory approach
International audienceAgrobiodiversity plays a fundamental role in guaranteeing food security. However, still little is known about the diversity within crop and livestock species: the genetic diversity. In this paper we present a set of indicators of crop accession and breed diversity for different farm types at farm-level, which may potentially supply a useful tool to assess and monitor farming system agrobiodiversity in a feasible and relatively affordable way. A generic questionnaire was developed to capture the information on crops and livestock in 12 European case study regions and in Uganda by 203 on-farm interviews. Through a participatory approach, which involved a number of stakeholders, eight potential indicators were selected and tested. Five of them are recommended as potentially useful indicators for agrobiodiversity monitoring per farm: (1) crop-species richness (up to 16 crop species), (2) crop-cultivar diversity (up to 15 crop cultivars, 1-2 on average), (3) type of crop accessions (landraces accounted for 3 % of all crop cultivars in Europe, 31 % in Uganda), (4) livestock-species diversity (up to 5 livestock species), and (5) breed diversity (up to five cattle and eight sheep breeds, on average 1-2).We demonstrated that the selected indicators are able to detect differences between farms, regions and dominant farm types. Given the present rate of agrobiodiversity loss and the dramatic effects that this may have on food production and food security, extensive monitoring is urgent. A consistent survey of crop cultivars and livestock breeds on-farm will detect losses and help to improve strategies for the management and conservation of on-farm genetic resources
Indicators for the on-farm assessment of crop cultivar and livestock breed diversity: a survey-based participatory approach
Farmland biodiversity and agricultural management on 237 farms in 13 European and two African regions
Farmland is a major land cover type in Europe and Africa and provides habitat for numerous species. The severe decline in farmland biodiversity of the last decades has been attributed to changes in farming practices, and organic and low-input farming are assumed to mitigate detrimental effects of agricultural intensification on biodiversity. Since the farm enterprise is the primary unit of agricultural decision making, management-related effects at the field scale need to be assessed at the farm level. Therefore, in this study, data were collected on habitat characteristics, vascular plant, earthworm, spider, and bee communities and on the corresponding agricultural management in 237 farms in 13 European and two African regions. In 15 environmental and agricultural homogeneous regions, 6–20 farms with the same farm type (e.g., arable crops, grassland, or specific permanent crops) were selected. If available, an equal number of organic and non-organic farms were randomly selected. Alternatively, farms were sampled along a gradient of management intensity. For all selected farms, the entire farmed area was mapped, which resulted in total in the mapping of 11 338 units attributed to 194 standardized habitat types, provided together with additional descriptors. On each farm, one site per available habitat type was randomly selected for species diversity investigations. Species were sampled on 2115 sites and identified to the species level by expert taxonomists. Species lists and abundance estimates are provided for each site and sampling date (one date for plants and earthworms, three dates for spiders and bees). In addition, farmers provided information about their management practices in face-to-face interviews following a standardized questionnaire. Farm management indicators for each farm are available (e.g., nitrogen input, pesticide applications, or energy input). Analyses revealed a positive effect of unproductive areas and a negative effect of intensive management on biodiversity. Communities of the four taxonomic groups strongly differed in their response to habitat characteristics, agricultural management, and regional circumstances. The data has potential for further insights into interactions of farmland biodiversity and agricultural management at site, farm, and regional scale
The case of banana in Uganda
Increasingly, research has indicated that in more risky production environments, genetic variation within species and within population increases the ability to respond to the increasing challenges of environmental stress. This paper analyses the role of banana variety diversity in reducing yield losses associated with biophysical production constraints in Uganda. A damage abatement framework is applied to enable estimation of the contribution of both direct and indirect inputs to the banana yield per unit of area. Primary data were gathered from 120 households. Results indicate that banana variety diversity contributes positively to reducing yield losses caused by biophysical constraints, particularly pests and diseases, but trade-offs exist. High banana variety diversity also has a significant but negative direct impact on banana yields. These trade-offs imply that while banana variety diversity should be promoted for its risk-reducing effects, its adoption beyond what farmers are practicing will largely depend on their objectives, access to alternative abatement agents, and their ability to bear risk. Given the current banana production environment of limited abatement agents and high biotic stress, enhancing diversity appears to be an important option despite trade-offs.Non-PRIFPRI1EPT
Integrating Biofortification Indicators into CAADP Biennial Reviews
Throughout the past three Biennial review (BR) cycles (2017, 2019, 2021) Kenya’s active engagement as the Comprehensive Africa Agriculture Development Program (CAADP) and commitments to the CAADP Malabo framework has been evident. However, the integration of biofortification indicators has not been an integral part of the BR cycles. Since March 2023, The International Potato Center( CIP ) has closely collaborated with the government of Kenya through the Ministry of Agriculture and Livestock in conducting a series of capacity-sharing workshops and knowledge-sharing to ensure that biofortification is well integrated into the BR review
The impact of school nutritional campaigns on OFSP adoption and food security among smallholder farming households in Tigray region, Ethiopia
Welfare-environmental quality tradeoffs of promoting use of certified seed potato in tropical highlands of Africa: Evidence from central highlands of Kenya
This paper used the propensity score method to assess the effect of using certified seed potato (CSP) on yield, input use, and food security among smallholder farmers. It focused on potato growers in central highlands of Kenya. The study found positive effect using certified seed on both yield and food security. But at the same time users of CSP applied significantly higher amounts of pesticides. This study therefore concludes that while using CSP has positive welfare effects, it can increase the use of inputs, some of which have environmentally degrading effects. It discusses the policy implications of the finding
Farmland biodiversity and agricultural management on 237 farms in 13 European and two African regions
Farmland is a major land cover type in Europe and Africa and provides habitat for numerous species. The severe decline in farmland biodiversity of the last decades has been attributed to changes in farming practices, and organic and low-input farming are assumed to mitigate detrimental effects of agricultural intensification on biodiversity. Since the farm enterprise is the primary unit of agricultural decision making, management-related effects at the field scale need to be assessed at the farm level. Therefore, in this study, data were collected on habitat characteristics, vascular plant, earthworm, spider, and bee communities and on the corresponding agricultural management in 237 farms in 13 European and two African regions. In 15 environmental and agricultural homogeneous regions, 6–20 farms with the same farm type (e.g., arable crops, grassland, or specific permanent crops) were selected. If available, an equal number of organic and non-organic farms were randomly selected. Alternatively, farms were sampled along a gradient of management intensity. For all selected farms, the entire farmed area was mapped, which resulted in total in the mapping of 11 338 units attributed to 194 standardized habitat types, provided together with additional descriptors. On each farm, one site per available habitat type was randomly selected for species diversity investigations. Species were sampled on 2115 sites and identified to the species level by expert taxonomists. Species lists and abundance estimates are provided for each site and sampling date (one date for plants and earthworms, three dates for spiders and bees). In addition, farmers provided information about their management practices in face-to-face interviews following a standardized questionnaire. Farm management indicators for each farm are available (e.g., nitrogen input, pesticide applications, or energy input). Analyses revealed a positive effect of unproductive areas and a negative effect of intensive management on biodiversity. Communities of the four taxonomic groups strongly differed in their response to habitat characteristics, agricultural management, and regional circumstances. The data has potential for further insights into interactions of farmland biodiversity and agricultural management at site, farm, and regional scale.Depto. de Biodiversidad, Ecología y EvoluciónFac. de Ciencias BiológicasTRUEpu