Drought stress, being the inevitable factor that exists in various environments without
recognizing borders and no clear warning thereby hampering plant biomass production …

Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

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; …

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 …

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 …

Genetic modification can improve crop yields — but stop overselling it Skip to main content
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Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

There is an increasing understanding that variation in gene presence–absence plays an
important role in the heritability of agronomic traits; however, there have been relatively few …

Comparative population genomics offers an excellent opportunity for unraveling the genetic
history of crop domestication. Upland cotton (Gossypium hirsutum) has long been an …

Bread wheat improvement using genomic tools is essential for accelerating trait genetic
gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the …