Distinguishing between Nile tilapia strains using a low-density Single Nucleotide Polymorphism (SNPs) panel: Data.

DArTseq silicoDArT and Single Nucleotide Polymorphism (SNP) markers (report DTi16-2108) and DArTcap SNP markers (report DTi17-2714_DTi17-2713). A Microsoft Excel file containing i) 21,195 SNP and 27,150 silicoDArT DArTseq genotypes and respective marker sequence and metadata information for 1404 tilipia (Oreochromis niloticus, O. mossambicus and hybrid) core breeding population samples; and ii) 1334 SNP DArTcap genotypes for 2057 Oreochromis niloticus hatchery samples. Corresponding .Rdata files containing genlight objects are also provided

Replication Data for: G9 impact assessment data

WorldFish initiated a selective breeding program in Abbassa—Egypt to develop and produce the genetically improved Nile tilapia strain known as “Genetically Improved Abbassa Nile tilapia (GIANT)”, adopting the same technology used for the Genetically Improved Farmed Tilapia (GIFT), in Asia. WorldFish provided the Ninth Generation (G9) broodstock of the GIANT to 11 Broodstock Multiplication Centers (BMC’s) in five governorates; these centres then disseminated improved mixed‐sex fry to 160 tilapia hatcheries which supplied all‐male fry to 1,500 fish farms in 2017.

Replication Data for: Black spots experiment data

Black spot disease (diplopstomiasis), an external melanized host inflammatory response caused by a number of digenetic trematode parasites, results in slow growth, deformities and increased mortality among many freshwater fish species globally. We investigated the severity of infection, and genetic parameters for black spot disease among 150 families of Nile tilapia (Oreochromis niloticus) of the Abbassa strain in ponds in Egypt.

Evaluating Impacts of GIFT Adoption at Scale: Understanding the Dissemination Process from Hatcheries to Farmers in Bangladesh

The performance of GIFT in various contexts has been demonstrated through on-station and on-farm evaluations. Evidence indicates that adoption of GIFT can increase fish yields hence economic returns for farmers; increase survival rate, shorten harvest time and increase individual harvesting weight; reduce production and operational costs; and reduce local fish market prices improving affordability among consumers.

Smallholder Fish Farmers Population Dataset

The smallholder fish farmer population census data was collected from 1,161 farmers in four districts of Northern Province of Zambia. A structured questionnaire was administered to the respondents and responses were recorded on an android device (smart phone), and sent to server owned by Musika, the project partner. Data was collected from October 2018 to March 2019. The study was undertaken by the Technical, Vocational and Entrepreneurship Training for Improved Private Sector and Smallholder Skills Project in Zambia with support from NORAD.