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31 to 40 of 309 Results
Project participant database- Year 5
Nov 22, 2024
Khaing, Htet; Pan Wai, Naw Christine; Nway, Hsu Myat, 2024, "Project participant database- Year 5", https://doi.org/10.7910/DVN/NIKE3D, Harvard Dataverse, V1
It captures general demographic information of SSA farmers. This database provides the list of participant farmers by township and implementing partners in Year 5, including the type of gender, age, household member, pond acre and number of own land acres.
Production of Genetically Improved Farmed Tilapia (GIFT) strain of Nile Tilapia (Oreochromis niloticus), Growth Line, Generation 19 (G19)
Nov 21, 2024
Mahmuddin, Mahirah; Hamilton, Matthew; Izadi, Fariba, 2024, "Production of Genetically Improved Farmed Tilapia (GIFT) strain of Nile Tilapia (Oreochromis niloticus), Growth Line, Generation 19 (G19)", https://doi.org/10.7910/DVN/1ZEQJJ, Harvard Dataverse, V1
Production data for 63 families of the GIFT Growth Line, Generation 19 (G19). Data included the Identifiers, list of parents ID, after spawned weight in grams, fry date to date of transfer to nursing tank and spawning date.
List of Artemia Demonstration farmers
Nov 21, 2024
Hossain, Aktar; Rahman, Muhammad; Shahriar, Al; Shabuj, Azharul, 2024, "List of Artemia Demonstration farmers", https://doi.org/10.7910/DVN/V2HVL7, Harvard Dataverse, V1
This is a list of artemia and aquaculture farmers under the Artemia4Bangladesh project that has been implemented in Cox's Bazar District since March 2020.
Baseline characterization of the practices and use of fish feed ingredients among feed ingredient processors in Nigeria
Nov 19, 2024
Manyise, Timothy; Ahmad Fatan, Nurulhuda; Yossa, Rodrigue; Olaniyi, Ajibola; Siriwardena, Sunil; Fregene, Bernadette; Rossignoli, Cristiano, 2024, "Baseline characterization of the practices and use of fish feed ingredients among feed ingredient processors in Nigeria", https://doi.org/10.7910/DVN/0GK3H6, Harvard Dataverse, V1
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...
Baseline characterization of the practices and use of local feed ingredients among processors in Zambia
Nov 19, 2024
Manyise, Timothy; Kasanga, Gregory; Ahmad Fatan, Nurulhuda; Yossa, Rodrigue; Rossignoli, Cristiano, 2024, "Baseline characterization of the practices and use of local feed ingredients among processors in Zambia", https://doi.org/10.7910/DVN/TZCGIO, Harvard Dataverse, V3
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, off...
Baseline characterization of the practices and use of fish feed ingredients among fish farmers processors in Nigeria
Nov 18, 2024
Manyise, Timothy; Ahmad Fatan, Nurulhuda; Olaniyi, Ajibola; Siriwardena, Sunil; Fregene, Bernadette; Yossa, Rodrigue; Rossignoli, Cristiano, 2024, "Baseline characterization of the practices and use of fish feed ingredients among fish farmers processors in Nigeria", https://doi.org/10.7910/DVN/CVFLP1, Harvard Dataverse, V1
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 questionnai...
Baseline characterization of the practices and use of fish feed ingredients among fish farmers in Zambia
Nov 18, 2024
Manyise, Timothy; Kasanga, Gregory; Ghazali, Saadiah; Yossa, Rodrigue; Rossignoli, Cristiano, 2024, "Baseline characterization of the practices and use of fish feed ingredients among fish farmers in Zambia", https://doi.org/10.7910/DVN/X9N8NP, Harvard Dataverse, V2
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...
Performance and cost-benefit analysis data for three hatcheries operating as businesses in Timor-Leste.
Oct 19, 2024
Pant, Jharendu; Teoh, Shwu Jiau; Bhujel, Ram C.; Du Carmu, Adriano; De Jesus, Lucas Soares, 2024, "Performance and cost-benefit analysis data for three hatcheries operating as businesses in Timor-Leste.", https://doi.org/10.7910/DVN/0VB42V, Harvard Dataverse, V1
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
Oct 19, 2024
Pant, Jharendu; Teoh, Shwu Jiau; Bhujel, Ram C, 2024, "On-Farm Aquaculture Productivity and Economic Performance Data", https://doi.org/10.7910/DVN/R8RAMM, Harvard Dataverse, V1
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...
Dataset - Socio-economic impact assessment of G3 Rohu dissemination in Bangladesh
Oct 18, 2024
Dam Lam, Rodolfo; Yeasin, Mohammed; Hamilton, Matthew; Rossignoli, Cristiano, 2024, "Dataset - Socio-economic impact assessment of G3 Rohu dissemination in Bangladesh", https://doi.org/10.7910/DVN/FQEHK9, Harvard Dataverse, V1
The dataset collected socio-economic indicators to asess the impact of G3 Rohu dissemination in Bangladesh
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