Data from: Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models

Ferrão LFV, Ferrão RG, Ferrão MAG, Fonseca A, Carbonetto P, Stephens M, Garcia AAF

Date Published: June 1, 2018

DOI: https://doi.org/10.5061/dryad.1139fm7

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Title SNPs and phenotypes in Coffea canephora population
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Description This dataset contains the genotypic and phenotypic information used in the whole-genomic statistical models for Coffea canephora. In the original manuscript, two populations of recurrent selection were genotyped and three traits - coffee bean production, incidence of rust and yield of green beans - were evaluated in two locations. Genotypic data (SNPs identified using the Genotyping-by-Sequencing approach) for both populations are stored in two .csv files (-1,0,1 format). Phenotype data for both populations are also stored in two .csv files. The values stored in the phenotypic files are phenotypes adjusted for linear effects of environmental covariates and other experimental covariates.
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When using this data, please cite the original publication:

Ferrão LFV, Ferrão RG, Ferrão MAG, Fonseca A, Carbonetto P, Stephens M, Garcia AAF (2018) Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. Heredity, online in advance of print. https://doi.org/10.1038/s41437-018-0105-y

Additionally, please cite the Dryad data package:

Ferrão LFV, Ferrão RG, Ferrão MAG, Fonseca A, Carbonetto P, Stephens M, Garcia AAF (2018) Data from: Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. Dryad Digital Repository. https://doi.org/10.5061/dryad.1139fm7
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