Replication Data for: Sibship assignment to the founders of a Bangladeshi Catla catla breeding population: datahttps://doi.org/10.7910/DVN/6LEU9OHamilton, Matthew G.Mekkawy, WagdyBenzie, JohnHarvard Dataverse2018-09-042023-09-28T04:39:37ZData file (Report-DCatl16-2344) containing 3048 SNP and 4726 silicoDArT genotype scores and respective marker sequence and metadata information for 841 Catla catla samples. Samples were taken from the candidate founders of the WorldFish rohu breeding population in Bangladesh.Medicine, Health and Life SciencesBreedingCarpGeneticsFish seedEnglishHamilton, M. G., Mekkawy, W., & Benzie, J. A. (2019). Sibship assignment to the founders of a Bangladeshi Catla catla breeding population. Genetics Selection Evolution, 51(1), 17., handle, 20.500.12348/3422, http://hdl.handle.net/20.500.12348/34222018-09-04Muliro, JacquieUnited States Agency for International DevelopmentInternational Fund for Agricultural DevelopmentFeed the Future Bangladesh Aquaculture and Nutrition Activity (BANA)2018-08-17Bangladesh<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> <Strong>Disclaimer</Strong> <P> Whilst utmost care has been taken by WorldFish and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, WorldFish, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the WorldFish Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. </P>