Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …

Highlights•Plant-root microbiome recruitment is driven by genetics and the root
exudate.•Mapping approaches can shed light on the underlying genetics.•Advanced multi …

Background Learning the causal structure helps identify risk factors, disease mechanisms,
and candidate therapeutics for complex diseases. However, although complex biological …

Genotype by environment interaction (G× E) for the target trait, eg yield, is an emerging
property of agricultural systems and results from the interplay between a hierarchy of …

Graphical models are a powerful tool in modelling and analysing complex biological
associations in high-dimensional data. The R-package netgwas implements the recent …

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

In the past decades, genomic prediction has had a large impact on plant breeding. Given the
current advances of high-throughput phenotyping and sequencing technologies, it is …

Genomic prediction of complex traits across environments, breeding cycles, and populations
remains a challenge for plant breeding. A potential explanation for this is that underlying non …

Key message Using genomic structural equation modelling, this research demonstrates an
efficient way to identify genetically correlating traits and provides an effective proxy for multi …

Studying complex biological systems faces numerous technical challenges due to their
intricate nature and the multitude of interacting factors involved while analyzing related …