The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Plants demonstrate a broad range of responses to environmental shifts. One of the most
remarkable responses is plasticity, which is the ability of a single plant genotype to produce …

Correct measurement of environmental parameters is fundamental for plant fitness and
survival, as well as for timing developmental transitions, including the switch from vegetative …

Predicting phenotype with genomic and environmental information is critically needed and
challenging. Machine learning methods have emerged as powerful tools to make accurate …

Identifying mechanisms and pathways involved in gene–environment interplay and
phenotypic plasticity is a long-standing challenge. It is highly desirable to establish an …

Phenotypic plasticity is observed widely in plants and often studied with reaction norms for
adult plant or end‐of‐season traits. Uncovering genetic, environmental and developmental …

Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

The growing global demands for agricultural goods will require accelerated crop
improvement. High-throughput genomic, phenomic, enviromic and other multi-omic data …

Phenotypic plasticity is an important topic in biology and evolution. However, how to
generate broadly applicable insights from individual studies remains a challenge. Here, with …

The relationship between collared leaf number and growing degree days (GDD) is crucial
for predicting maize phenology. Biophysical crop models convert GDD accumulation to leaf …