Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...

Researchers are trying to understand why some wild species do better than others over time, as the environment changes.

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...