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 …

Agricultural production faces a Herculean challenge to feed the increasing global
population. Food production systems need to deliver more with finite land and water …

The usefulness of genomic prediction in crop and livestock breeding programs has
prompted efforts to develop new and improved genomic prediction algorithms, such as …

Genomic Selection (GS) is a method in plant breeding to predict the genetic value of
untested lines based on genome-wide marker data. The method has been widely explored …

Forest tree breeding efforts have focused mainly on improving traits of economic importance,
selecting trees suited to new environments or generating trees that are more resilient to …

In plant and animal breeding, genomic prediction models are established to select new lines
based on genomic data, without the need for laborious phenotyping. Prediction models can …

The world's food and agricultural programs have gradually declined into an unsustainable
situation due to challenges such as increase in world population, varied agro-climatic …

Plant geneticists and breeders have used marker technology since the 1980s in quantitative
trait locus (QTL) identification. Marker-assisted selection is effective for large-effect QTL but …

Chile pepper (Capsicum spp.) is a major culinary, medicinal, and economic crop in most
areas of the world. For more than hundreds of years, chile peppers have “defined” the state …

In modern plant breeding, genomic selection is becoming the gold standard for selection of
superior genotypes. The basis for genomic prediction models is a set of phenotyped lines …