The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …

Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

LightGBM is an ensemble model of decision trees for classification and regression
prediction. We demonstrate its utility in genomic selection-assisted breeding with a large …

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 …

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

With marker and phenotype information from observed populations, genomic selection (GS)
can be used to establish associations between markers and phenotypes. It aims to use …

Warming and drought are reducing global crop production with a potential to substantially
worsen global malnutrition. As with the green revolution in the last century, plant genetics …

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 …

To address the multiple challenges to food security posed by global climate change,
population growth and rising incomes, plant breeders are developing new crop varieties that …