Experiments measuring the interaction between genotypes and environments measure the
spatial (eg, locations) and temporal (eg, years) separation and/or combination of these …

Key message Genomic prediction based on additive genetic effects can accelerate genetic
gain. There are opportunities for further improvement by including non-additive effects that …

Wheat improvement programs require rapid assessment of large numbers of individual plots
across multiple environments. Vegetation indices (VIs) that are mainly associated with yield …

Wheat ear density estimation is an appealing trait for plant breeders. Current manual
counting is tedious and inefficient. In this study we investigated the potential of convolutional …

The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height
estimates as a high-throughput plant phenotyping trait was explored. An experiment over …

Significantly improved crop varieties are urgently needed to feed the rapidly growing human
population under changing climates. While genome sequence information and excellent …

Background Although draft genomes are available for most agronomically important plant
species, the majority are incomplete, highly fragmented, and often riddled with assembly …

Plants produce a variety of metabolites that have a critical role in growth and development.
Here we present a comprehensive study of maize metabolism, combining genetic …

We wrote this book to fill the gap between textbooks of quantitative genetic theory and
software manuals that provide details on analytical methods but little context or perspective …

Physiological and developmental traits that vary over time are difficult to phenotype under
relevant growing conditions. In this light, we developed a novel system for phenotyping …