Data from: Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

Wang X, Li L, Yang Z, Zheng X, Yu S, Xu C, Hu Z

Date Published: August 9, 2016

DOI: http://dx.doi.org/10.5061/dryad.kg26j

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Phenotype data
Downloaded 1 time
Description Eight traits of all the hybrids and their inbred parents
Details View File Details
At the request of the author, this item is embargoed until 2017-09-21
Title SNP data
Downloaded 1 time
Description SNP data of 120 rice inbred lines
Details View File Details
At the request of the author, this item is embargoed until 2017-09-21

When using this data, please cite the original publication:

Wang X, Li L, Yang Z, Zheng X, Yu S, Xu C, Hu Z (2016) Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II. Heredity 118(3): 302-310. http://dx.doi.org/10.1038/hdy.2016.87

Additionally, please cite the Dryad data package:

Wang X, Li L, Yang Z, Zheng X, Yu S, Xu C, Hu Z (2016) Data from: Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.kg26j
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: