Deep learning methods have been applied when working to enhance the prediction
accuracy of traditional statistical methods in the field of plant breeding. Although deep …

The livestock industry is a key player in addressing the current challenges facing global food
security. 1 Challenges are not only related to the forecasted increased demand for animal …

Background Biologically annotated neural networks (BANNs) are feedforward Bayesian
neural network models that utilize partially connected architectures based on SNP-set …

Exposure to environmental stressors during pregnancy plays an important role in influencing
subsequent susceptibility to certain chronic diseases through the modulation of epigenetic …

Plant breeding plays a crucial role in the development of high‐performing crop varieties that
meet the demands of society. Emerging breeding techniques offer the potential to improve …

A plant's genome encodes enzymes, transporters and many other proteins which constitute
metabolism. Interactions of plants with their environment shape their growth, development …

Background Rumen microbes break down complex dietary carbohydrates into energy
sources for the host and are increasingly shown to be a key aspect of animal performance …

Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with
susceptible infected crops losing over 30% of yield. A heritable component to both diseases …

Background Growth rate is an important component of feed conversion efficiency in cattle
and varies across the different stages of the finishing period. The metabolic effect of the …

Deep learning comes with a portfolio of highly flexible models, known as neural networks
(NNs), capable of solving various problems and setting new high standards for prediction …