5 papers
Optimal allocation of trials to sub-regions in crop variety testing with multiple years and correlated genotype effects
Maryna Prus, Lenka Filová, Hans-Peter Piepho +1
Plant breeding and variety trials are usually conducted in multiple environments sampled from a defined target population of environments in order to characterize the performance o…
A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
Stephan Bark, Waqas Ahmed Malik, Maryna Prus +2
In variety testing, multi-environment trials (MET) are essential for evaluating the genotypic performance of crop plants. A persistent challenge in the statistical analysis of MET…
Rectangular augmented row-column designs generated from contractions
Hans-Peter Piepho, Emlyn Williams
Row-column designs play an important role in applications where two orthogonal sources of error need to be controlled for by blocking. Field or greenhouse experiments, in which exp…
The construction of augmented designs in square arrays
E. R. Williams, H-P. Piepho
Augmented designs are typically used in early-stage breeding programs to compare single replicates of test entries by combining them with replicated check varieties. One or two dim…
Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments
Maksym Hrachov, Hans-Peter Piepho, Niaz Md. Farhat Rahman +1
In plant breeding and variety testing, there is an increasing interest in making use of environmental information to enhance predictions for new environments. Here, we will review…