Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …

Given the challenges of population growth and climate change, there is an urgent need to
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …

Introduction Heat stress negatively affects wheat production in several ways, mainly by
reducing growth rate, photosynthetic capacity and reducing spike fertility. Modeling stress …

Modern plant breeding programs collect several data types such as weather, images, and
secondary or associated traits besides the main trait (eg, grain yield). Genomic data is high …

Decreasing costs and new technologies have led to an increase in the amount of data
available to plant breeding programs. High-throughput phenotyping (HTP) platforms …

The understanding of the source's genetic characteristics and their use in restoration
projects is essential to maintaining restoration survival, mainly in tropical forests …

Improved phenotyping technologies and data analytic strategies have the potential to
reduce the phenotyping bottleneck in breeding programs, increase the number of genotypes …

The development of genomic selection (GS) methods has allowed plant breeding programs
to select favorable lines using genomic data before performing field trials. Improvements in …

Datasets in several fields of research have become larger than ever, with plant breeding
being no exception. The development of high-throughput phenotyping (HTP) technology has …