GOVS

GOVS simulates a virtual maize genome to guide genomic selection and accelerate development of homozygous doubled-haploid (DH) inbred lines for hybrid breeding.

Key Features:

• Virtual Genome Simulation: Simulates a virtual genome by integrating prevalent 'optimal genotypes' and 'advantageous alleles' from a genetic pool using genotype and phenotype data from 1404 maize lines and their F1 progeny.
• Genomic Selection Enhancement: Uses the simulated virtual genome as a reference in genomic selection (GS) to prioritize genotype-based selection and reduce reliance on field phenotyping.
• Selection of Superior Lines: Evaluates candidate lines by their contribution of genomic fragments matching the virtual optimal genotypes, with higher contributions indicating greater likelihood of favorable F1 phenotypes such as increased grain yield.
• Complementary Allele Pyramiding: Identifies combinations of selected lines that maximize the presence of advantageous alleles in new DH lines by assembling complementary allele sets with minimal line and F1 combinations.
• Threshold-Free Selection: Ranks and selects lines based on genomic contribution metrics rather than predefined yield thresholds to provide a more nuanced selection criterion.

Scientific Applications:

• Maize hybrid breeding optimization: Integrates virtual genome optimization with DH production and genomic selection to accelerate creation of homozygous inbred lines for hybrid development.
• Genotype-driven selection strategies: Enables breeder decision-making focused on genomic composition to improve traits such as grain yield and stress resistance.
• Allele combination planning: Supports planning of minimal line and F1 combinations to pyramid advantageous alleles into target DH lines.

Methodology:

Simulates a virtual genome from genotype and phenotype data of 1404 maize lines and their F1 progeny; uses the virtual genome as a reference to compute genomic-fragment contributions of candidate lines, rank selections, and identify complementary line combinations for allele pyramiding, applying threshold-free selection based on genomic contributions.