WorldFish Datasets

Permanent URI for this collectionhttps://hdl.handle.net/10568/138752

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GIFT TiLV Generation 20 (GIFT TiLV G20) production data
(Dataset) Mahmuddin, Mahirah; Hamilton, Matthew; Izadi, Fariba
Third selection of Genetically Improved Fish Tilapia (GIFT) TiLV line production data. The database categorizes 78 unique fish and includes information on their spawning date, date of fry transfer to the nursing pond, and weight in grams before and after spawning.
Baseline characterization of the practices and use of fish feed ingredients among feed ingredient processors in Nigeria
(Dataset) Manyise, Timothy; Ahmad Fatan, Nurulhuda; Yossa, Rodrigue; Olaniyi, Ajibola; Siriwardena, Sunil; Fregene, Bernadette; Rossignoli, Cristiano
This dataset includes information from 180 small-scale fish farmers, selected through a snowball sampling approach, to establish a baseline for the Development and Scaling of Sustainable Feeds for Resilient Aquatic Food Systems in Sub-Saharan Africa (FASA) project in Nigeria. Data was collected in April and May 2024 using a KoBo-based questionnaire administered via computer-assisted personal interviews (CAPIs) on mobile tablets by 20 trained enumerators. The dataset provides insights into the practices, challenges, and resource needs of small-scale feed ingredient processors, offering a foundation for developing and scaling fish feed using local ingredients to support a resilient aquaculture sector in Nigeria. By capturing this data at the start of the project, it serves as a reference point for assessing progress and measuring the impact of future efforts to improve the resilience and sustainability of Nigeria's aquaculture industry. The data helps stakeholders, including policymakers and development partners, design targeted interventions that address the specific needs of small-scale feed ingredient processors.
Baseline characterization of the practices and use of fish feed ingredients among fish farmers processors in Nigeria
(Dataset) Manyise, Timothy; Ahmad Fatan, Nurulhuda; Olaniyi, Ajibola; Siriwardena, Sunil; Fregene, Bernadette; Yossa, Rodrigue; Rossignoli, Cristiano
This dataset includes information from 580 small-scale fish farmers, selected through a multistage sampling approach, to establish a baseline for the Development and Scaling of Sustainable Feeds for Resilient Aquatic Food Systems in Sub-Saharan Africa (FASA) project in Nigeria. Data was collected in April and May 2024 using a KoBo-based questionnaire administered via computer-assisted personal interviews (CAPIs) on mobile tablets by 20 trained enumerators. The dataset provides insights into the practices, challenges, and resource needs of small-scale fish farmers, offering a foundation for developing and scaling fish feed using local ingredients to support a resilient aquaculture sector in Nigeria. By capturing this data at the start of the project, it serves as a reference point for assessing progress and measuring the impact of future efforts to improve the resilience and sustainability of Nigeria's aquaculture industry. The data helps stakeholders, including policymakers and development partners, design targeted interventions that address the specific needs of small-scale fish farmers.
Baseline characterization of the practices and use of local feed ingredients among processors in Zambia
(Dataset) Manyise, Timothy; Kasanga, Gregory; Ahmad Fatan, Nurulhuda; Yossa, Rodrigue; Rossignoli, Cristiano
This dataset presents baseline survey data from 187 feed ingredient processors across Zambia’s Luapula, Lusaka, Eastern, and Northern provinces, gathered as part of the FASA project to advance sustainable aquaculture practices. The data provide foundational insights into the role of local feed ingredients in supporting sustainable fish farming, offering a detailed overview of feed processors' characteristics and local ingredient sourcing and use. Additionally, it assesses processors’ knowledge of local ingredient inclusion in fish feed, identifying areas for capacity building. The dataset documents current practices and innovations in feed production, as well as challenges and barriers faced by stakeholders in using local ingredients, presenting a comprehensive view of sector limitations. This baseline data serves as a resource for policymakers, researchers, and practitioners, providing an evidence-based foundation to inform targeted interventions, foster sector growth, and improve productivity, resilience, and economic outcomes in Zambia’s aquatic feed sector.
Baseline characterization of the practices and use of fish feed ingredients among fish farmers in Zambia
(Dataset) Manyise, Timothy; Kasanga, Gregory; Ghazali, Saadiah; Yossa, Rodrigue; Rossignoli, Cristiano
This dataset presents baseline survey data from 534 fish farmers across Zambia's Luapula, Lusaka, Eastern, and Northern provinces, collected under the FASA project to inform sustainable aquaculture practices. It captures key insights on the role of local feed ingredients in fish farming, covering socioeconomic characteristics, local feed ingredient sourcing, and usage among farmers. The dataset also assesses farmers' and processors' knowledge of local ingredients in fish feed, highlighting capacity-building needs, and documents current practices, innovations, and challenges related to local ingredient use. Additionally, it explores fish farmers’ willingness to adopt local ingredient-based feeds, indicating the potential for scaling sustainable solutions. This dataset provides a resource for policymakers, researchers, and practitioners to design targeted interventions, supporting growth, productivity, and resilience in Zambia’s aquaculture sector.
Performance and cost-benefit analysis data for three hatcheries operating as businesses in Timor-Leste.
(Dataset) Pant, Jharendu; Teoh, Shwu Jiau; Bhujel, Ram C.; Du Carmu, Adriano; De Jesus, Lucas Soares
These datasets include (a) hatchery performance data, such as egg production, fry survival rates, and monosex fry output, and (b) economic data on hatchery investments and operational costs, including capital expenditures, feed costs, and labor costs, as well as revenue from broodfish and monosex fry sales.
On-Farm Aquaculture Productivity and Economic Performance Data
(Dataset) Pant, Jharendu; Teoh, Shwu Jiau; Bhujel, Ram C.
This dataset includes detailed records of on-farm trials such as fish growth rates, pond and water quality measurements, feeding schedules, and fish survival rates. Farmers' participatory grow-out trials following better management practices (BMPs) were conducted in two phases from 2015 to 2023 across ten farmers clusters in four municipalities in inlands. The trials in Phase 1 tested GIFT stocked at 3 fingerlings/m2 using green water in ponds and fed with locally made plant-based feed. In Phase 2, trials tested GIFT stocked at 5 fingerings/m2 with high quality imported pelleted feed supplemented with local feed and green water.
Dataset - Socio-economic impact assessment of G3 Rohu dissemination in Bangladesh
(Dataset) Dam Lam, Rodolfo; Yeasin, Mohammed; Hamilton, Matthew; Rossignoli, Cristiano
The dataset collected socio-economic indicators to asess the impact of G3 Rohu dissemination in Bangladesh
Bangladesh Data Gap Study Expert Interviews
(Dataset) Dam Lam, Rodolfo; Rashid, Mohammad Mamun; Barman, Benoy; Rossignoli, Cristiano
Knowledge gap study across Bangladesh's Aquatic Food Systems
Zambia Data Gap Study Expert Interviews
(Dataset) Dam Lam, Rodolfo; Kakwasha, Keagan; Mudege, Netsayi; Rossignoli, Cristiano
Knowledge gap study across Zambia's Aquatic Food Systems
WorldFish silver carp families 2024
(Dataset, 2024-05-12) Hamilton, Matthew
Identifiers, parents and spawning date for all families produced in the WorldFish Silver Carp Genetic Improvement Program.
WorldFish catla carp families 2024
(Dataset, 2024-06-03) Hamilton, Matthew
Identifiers, list of parents and spawning date of all WorldFish Catla Genetic Improvement Program Families produced in 2024
TILAPIA AQUACULTURE CHARACTERIZATION STUDY INDIA
(Dataset) Brako Dompreh, Eric
This is a farmer survey dataset of tilapia aquaculture farmers in India. The survey was conducted in December 2023 to understand the characteristics of tilapia aquaculture production systems in India. The survey modules consisted of areas including demography, production, marketing, food security, institutional characteristics and poverty.
Ecohydrological data of Naf-Saint Martin’s Peninsula
(Dataset) Sarker, Subrata; Nahiduzzaman, Md
This data set contains vertical profiles of environmental variables. In addition, biodiversity data from the Naf-Saint Martin’s Peninsula is also available.
Peskaas Impact Assessment Dataset
(Dataset) Dam Lam, Rodolfo; Dos Reis Lopes, Joctan; Tilley, Alexander
Dataset containing the responses from 39 expert interviews exploring the effects of PeskAAS in Timor Leste.
CFR capacity assessment
(Dataset) Sean, Vichet; Ou, Phichong; Sun, Vathanak
The CFR capacity assessment will be conducted using a tool was developed and utilized during the USAID funded Rice Field Fisheries project (see Kim et al., 2019). It will be conducted with CFR committees on an annual basis to assesses committee performance on five aspects of CFR management capacity: 1. Organization management ; 2. Planning and implementing the plan; 3. Resource mobilization; 4. Linkages / networking; 5. Representation and participation. A score of 1 (Poor) to 5 (Good) is assigned for each aspect, leading to an overall score. This score will be used as the indicator of CFR capacity to assess improvement over the project period.
Biological Sampling, Fish Nest Monitoring
(Dataset) Sean, Vichet; Ou, Phichong; Freed, Sarah; Sun, Vathanak
The purpose of this research, monitoring and evaluation is to report on required indicators and evaluate the effectiveness of CFR interventions on: • Improving fish biodiversity within the CFR, as assessed by Biological monitoring • Improving maintenance of fish biomass and abundance within the CFR during the dry season (Nov-May), as assessed by Biological monitoring Five CFR project sites will be selected as treatment sites and three unmanaged water bodies will be selected as control sites, for a total of eight sites to receive biological sampling. Treatment sites will be selected to represent two or three CFR ‘types’, based on connectivity and size of water body. Control and treatment sites will be matched or grouped based on the following features: size and depth of water body (including wet season and dry season sizes and depths), distance from river or other large water body, number of inlets connecting the water body to surrounding landscape, and average elevation of the water body.
Catch, consumption, and employment survey
(Dataset) Sean, Vichet; Ou, Phichong; Sun, Vathanak; Freed, Sarah
Sampled households will meet one or more of the following criteria at the time of the first survey: 1) at least one household member conducted rice field fishing at least once in the past 12 months; 2) household members consumed fish at least once in the past 4 months; 3) at least one household member has earned income by trading fish (from fish harvest to market) in the past 4 months, or is currently employed in the fish trade; 4) at least one household member has been involved in other value chain activities in the past 4 months. The monitoring will be conducted in a manner to set baseline values for zone of influence catch and employment in the fishery value chain, with which subsequent monitoring results will be compared to assess change over the life of the project. The baseline values will include kg/year for fish production (including a trend over multiple years, if possible, or otherwise the previous year value for kg/year), household fish consumption, and threshold price of fish and other aquatic animals purchased by food insecure households. The Catch, consumption, and employment survey and procedures are based on the recommendations made and applied for the USAID RFFII project (see Hortle, 2012). Sampling of fishing households will be conducted four times each year, once each during flood recession, dry season, flood rising, and wet season. A minimum of 20 households are sampled per CFR site. The survey is designed to be longitudinal by revisiting the same households during each survey occasion. If a household has migrated or is unavailable during the survey period, another household will be surveyed in its place for that occasion only. Questions will be asked on the amount of household catch (including fish, other aquatic animals, and aquatic plants) by habitat and species, market price of the catch by species, use of the catch (consumption, sale, processing, livestock feed, other uses, and loss due to cleaning, discards, and/or spoilage), the number of hours household members have spent working in the fish value chain (including to manage, harvest, process, and market fish, for income or subsistence purposes), and the ID Poor status of the household. Responses will be recorded using Kobo toolbox, a mobile data collection platform. The recorded data will be used to calculate average household quantity of fish catch from rice field ecosystems in the CFR zone of influence, fish consumption, and fishery related incomes and employment. The proportion of surveyed households that fished, the average household fish catch per site from the four sampling occasions in a year, along with the estimated area of the CFR zone of influence, will be used to calculate annual rice field fishery productivity. Fishery incomes will be calculated from the average value of household catch. For employment, fishery labour hours will be reported as FTE. Numbers of fish powder producers and hours spent producing fish powder will be cross-checked with records from nutrition training groups and household visioning exercises. National population census statistics on household size, proportions of men, women, and youth and adults, will be used to convert the household averages to estimated population-level values for the indicators.
A-WEFI Kenya Aquaculture Value Chain Data
(Dataset) Adam, Rahma
The datasets contain aquaculture value chain data collected from fish input suppliers, fish traders and fish farmers in Kenya. The dataset is mainly women’s empowerment based, but also includes a HN (nutrition module)
Validation of Pro-WEFI conducted in Bangladesh
(Dataset) Adam, Rahma; Rajaratnam, Surendran
This folder contains outputs from a validation study of Pro-WEFI tool conducted in Bangladesh in 2022. It includes the study tools, dataset and Stata do files.

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