Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …

Crop production systems need to expand their outputs sustainably to feed a burgeoning
human population. Advances in genome sequencing technologies combined with efficient …

Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …

To explore a robust tool for advancing digital breeding practices through an artificial
intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of …

Key message Genomic prediction based on additive genetic effects can accelerate genetic
gain. There are opportunities for further improvement by including non-additive effects that …

Association analysis is used to measure relations between markers and quantitative trait loci
(QTL). Their estimation ignores genes with small effects that trigger underpinning …

Genomic Selection (GS) is a new breeding method in which genome-wide markers are used
to predict the breeding value of individuals in a breeding population. GS has been shown to …

Rapid advances in “next‐generation” DNA sequencing technology have brought the US
$1000 human (Homo sapiens) genome within reach while providing the raw sequencing …

More accurate and precise phenoty** strategies are necessary to empower high-
resolution linkage map** and genome-wide association studies and for training genomic …

Although long-term genetic gain has been achieved through increasing use of modern
breeding methods and technologies, the rate of genetic gain needs to be accelerated to …