Quantitative genetics states that phenotypic variation is a consequence of the interaction
between genetic and environmental factors. Predictive breeding is based on this statement …

Genotype-environment interaction is pervasive in forest genetics. Delineation of spatial
breeding zones (BZs) is fundamental for accommodating genotype-environment interaction …

Enviromics is the field of applied data science that integrates databases of environmental
factors into biostatistics and quantitative genetics. It can leverage plant ecophysiology …

An increase in grain yield remains a major target for all involved in maize cultivation. In this
study, five maize genotypes were evaluated in a two-year (2017 and 2018) field experiment …

Ongoing changes in the global environmental conditions foster plant breeding research to
develop climate-smart cultivars as fast as possible. Data analytics are essential for achieving …

There has been a significant trend in the use of different statistical tools to analyse
genotype× environment (GE) interaction for grain yield in multi‐environment trials. Several …

Sunflower has been proposed as a potential crop model for an adaptation to a changing
environment and special attention should be paid to testing hybrids under different …

Key message Using landraces for broadening the genetic base of elite maize germplasm is
hampered by heterogeneity and high genetic load. Production of DH line libraries can help …

There is considerable interest in assessing genetic gain from breeding efforts, as well as
trends from non-genetic sources such as climate change. Long-term data from official variety …

A range of environmental factors restricts the production of chickpea; therefore, introducing
compatible cultivars to a range of environments is an important goal in breeding programs …