10 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…
Equivalence theorems for compound design problems with application in mixed models
Maryna Prus
In the present paper we consider design criteria which depend on several designs simultaneously. We formulate equivalence theorems based on moment matrices (if criteria depend on d…
Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing
Maryna Prus, Hans-Peter Piepho
New crop varieties are extensively tested in multi-environment trials in order to obtain a solid empirical basis for recommendations to farmers. When the target population of envir…
Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
Maryna Prus
The subject of this work is two treatment groups random coefficient regression models, in which observational units receive some group-specific treatments. We provide A- and D-opti…
Optimal Designs for Minimax-Criteria in Random Coefficient Regression Models
Maryna Prus
We consider minimax-optimal designs for the prediction of individual parameters in random coefficient regression models. We focus on the minimax-criterion, which minimizes the "wor…