Pleiotropy (whereby one genetic polymorphism affects multiple traits) and epistasis
(whereby non-linear interactions between genetic polymorphisms affect the same trait) are …

Epistasis refers to nonallelic interaction between genes that cause bias in estimates of
genetic parameters for a phenotype with interactions of two or more genes affecting the …

The importance of accurate genomic prediction of phenotypes in plant breeding is
undeniable, as higher prediction accuracy can increase selection responses. In this regard …

Maize (Zea mays L.) is the third most important cereal crop after rice (Oryza sativa) and
wheat (Triticum aestivum). Salinity stress significantly affects vegetative biomass and grain …

Background Non-additive genetic effects are often ignored in livestock genetic evaluations.
However, fitting them in the models could improve the accuracy of genomic breeding values …

Genomic prediction (GP) using haplotypes is considered advantageous compared to GP
solely reliant on single nucleotide polymorphisms (SNPs), owing to haplotypes' enhanced …

Key message Genomic prediction of genebank accessions benefits from the consideration
of additive-by-additive epistasis and subpopulation-specific marker effects. Abstract Wheat …

Abstract Single Nucleotide Polymorphism (SNP) genotype datasets used in empirical
research are steadily growing in size which has introduced challenges in the calculation of …

The accuracy of predicting seven human phenotypes of 3657–7564 individuals using global
epistasis effects was evaluated and compared to the accuracy of haplotype genomic …

The development of genomic selection (GS) methods has allowed plant breeding programs
to select favorable lines using genomic data before performing field trials. Improvements in …