Ever since man began domesticating animals several thousand years ago, we have always
relied on our intuition, collective knowledge, and sensory signals to make effective animal …

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 …

The objective of this study is to compare the predictive ability of Bayesian regularization with
Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural …

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 …

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 …

The current excitement around artificial intelligence and the renewed interest in “deep
learning”(DL) have been applied to the genetic analysis of complex traits; however, the …

Genomic selection (GS) has been implemented in animal and plant species, and is
regarded as a useful tool for accelerating genetic gains. Varying levels of genomic …

Deep learning (DL) has emerged as a powerful tool to make accurate predictions from
complex data such as image, text, or video. However, its ability to predict phenotypic values …

This study has explored nine machine learning methods that cover linear, non-linear, and
ensemble learning models to predict the compressive strength of field concrete at 7 days …