Breeder’s Blog
In this post we explore how we can “mendelize” the QTLs
Trait HeritabilitiesExperimental DesignBreeder’s equationMendelian and Quantitative TraitsTrait correlations
Heritability Estimation – we accurately measures how much of a trait’s variation is genetic, guiding breeders in focusing on traits with higher genetic gain potential.Optimized Experimental Design – we ensuresthat experiments are statistically sound, reducing errors and improving the reliability of results across trials and environments.Validation of Genetic Models – we confirms whether observed inheritance patterns follow expected genetic models (e.g. Mendelian genetics), ensuring the validity of breeding strategies.Breeder’s equation – we predict genetic gain, optimize selection intensity, and improve long-term breeding efficiency by guiding decisions on which individuals to select for the next generation.Correlation between traits – wehelp breeders select one trait to improve another while balancing changes, since improving one trait might cause another to decrease.
Maximizing genetic variation within plant species, a necessary condition to introduce novel traits. Reducing the risk of losing rare but valuable genetic variants. Identifying valuable pre-breeding material in wild or landrace populations. Accelerating breeding progress by facilitating the selection of complementary parental lines. Providing polymorphic markers ready-to-use in marker-assisted selection programs. Increasing the precision in selection by targeting genes or genomic regions associated with those traits. Allowing Early Trait Detection at the seed or seedling stage, saving time and resources. Providing higher selection accuracy especially for traits whose expression is influenced by environmental factors or they are assayed by challenging protocols . Accelerating breeding progress by enhancing selection accuracy and efficiency.Comprehensive Literature ReportMarker Development StrategyGenetic Maps Report of Marker-Trait AnalysisCustomized Trait-Marker PanelsMarker-Assisted Selection (MAS) Recommendations
Precise modification of target genes, minimizing off-target effects Versatility by the application to a wide range of plant species and traits. Sustainable solutions to pressing challenges in agriculture, such as disease resistance, climate resilience, and nutritional quality.
Candidate Gene IdentificationCausal Allele AnalysisGene Editing Strategy ProposalCandidate Sequence DesignFinal Report and RecommendationsGenotyping Platform StrategyGenetic Diversity ReportPolymorphic Marker or Haplotype IdentificationGenetic Variation Utilization Strategy
Increasing the precision in selection by targeting genes or genomic regions associated with those traits.Allowing Early Trait Detection at the seed or seedling stage, saving time and resources.Providing higher selection accuracy especially for traits whose expression is influenced by environmental factors or they are assayed by challenging protocols .Accelerating breeding progress by enhancing selection accuracy and efficiency.
