wheat: wheat dataset

In lian0090/FW: Performs Gibbs Sampler and Least Square models for Finlay-Wilkinson regressions

Description

Information from a collection of 599 historical CIMMYT wheat lines. The wheat data set is from CIMMYT's Global Wheat Program. Historically, this program has conducted numerous international trials across a wide variety of wheat-producing environments. The environments represented in these trials were grouped into four basic target sets of environments comprising four main agroclimatic regions previously defined and widely used by CIMMYT's Global Wheat Breeding Program. The phenotypic trait considered here was the grain yield (GY) of the 599 wheat lines evaluated in each of these four mega-environments with two replications.

Wheat lines were genotyped using 1447 Diversity Array Technology (DArT) generated by Triticarte Pty. Ltd. (Canberra, Australia; http://www.triticarte.com.au). The DArT markers may take on two values, denoted by their presence or absence. Markers with a minor allele frequency lower than 0.05 were removed, and missing genotypes were imputed with samples from the marginal distribution of marker genotypes, that is, x_{ij}=Bernoulli(\hat p_j), where \hat p_j is the estimated allele frequency computed from the non-missing genotypes. The number of DArT MMs after editting was 1279.

Usage

data(wheat)

Format

The data.frame wheat.Y contains the phenotypes, Matrix wheat.G is the genomic relatinship matrix calculated from the DArT markers.

Source

International Maize and Wheat Improvement Center (CIMMYT), Mexico.

References

Crossa, J., G. de Los Campos, P. Perez, D. Gianola, J. Burgueno, J. L. Araus, D. Makumbi, R. P. Singh, S. Dreisigacker, and J. Yan. 2010. Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics. 186: 713-724.

lian0090/FW documentation built on May 20, 2019, 5:27 p.m.