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

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

Climate change is a threat to global food security due to the reduction of crop productivity
around the globe. Food security is a matter of concern for stakeholders and policymakers as …

Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

Genomic selection (GS) is transforming the field of plant breeding and implementing models
that improve prediction accuracy for complex traits is needed. Analytical methods for …

Rice (Oryza sativa) provides a staple food source for more than half the world population.
However, the current pace of rice breeding in yield growth is insufficient to meet the food …

Prediction of breeding values is central to plant breeding and has been revolutionized by the
adoption of genomic selection (GS). Use of machine‐and deep‐learning algorithms applied …

Genotyping‐by‐sequencing has enabled approaches for genomic selection to improve
yield, stress resistance and nutritional value. More and more resource studies are emerging …

Genomic prediction (GP) is the procedure whereby the genetic merits of untested candidates
are predicted using genome wide marker information. Although numerous examples of GP …