maize_geno

A synthetic dataset containing Single Nucleotide Polymorphism (SNP) marker
data for the 100 maize genotypes found in maize_pheno. Designed for
testing genomic selection indices (GESIM/RGESIM) and relationship matrices.

datasets

Provides tools for the simultaneous improvement of multiple traits in plant breeding. Building upon the classical selection index (Smith 1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) and modern quantitative genetics (Kang 2020 <doi:10.1007/978-3-319-91223-3>), this package calculates classical phenotypic, genomic, marker-assisted, restricted/constrained, and eigen selection indices. It also incorporates multi-stage selection evaluation and stochastic simulations to estimate genetic advance based on economic weights, heritability, and genetic correlations.

Zankrut Goyani

selection.index

Analysis of Selection Index in Plant Breeding

maize_geno function

A numeric matrix with 100 rows (genotypes) and 500 columns (SNP markers):<dl>
 <dt>Rows</dt>
<dd>100 genotypes, matching the Genotype column in maize_pheno.</dd> <dt>Columns</dt>
<dd>500 simulated SNP markers, coded as 0, 1, or 2.</dd>
</dl>

Format

Synthetic Maize Genomic Data — maize_geno

A numeric matrix with 100 rows (genotypes) and 500 columns (SNP markers):<dl>
 <dt>Rows</dt>
<dd>100 genotypes, matching the Genotype column in maize_pheno.</dd>

 <dt>Columns</dt>
<dd>500 simulated SNP markers, coded as 0, 1, or 2.</dd>


</dl>

maize_geno: Synthetic Maize Genomic Data

Description

Usage

Arguments

Format

Examples