Work

Optimizing the Allocation of Trials to Sub-regions in Crop Variety Testing with Multiple Years and Locations

Year: 2024

Type: article

Abstract: Field experiments in crop variety testing are conducted in multiple environments. When the targeted growing area can be stratified into sub-regions (zones), a design problem arises regarding the number of trials to be performed in each sub-region. We propose an analytical solution and a computational approach for optimal allocation of trials to sub-regions in multi-environment crop variety testing for multi-year experiments. For our purpose, we use a linear mixed model and we determine allocations that are optimal for the prediction of pairwise linear contrasts of genotype effects. For computations, we use the OptimalDesign package. The analytical results are illustrated by a real data example.

Source: Journal of Agricultural Biological and Environmental Statistics

DOI: 10.1007/s13253-024-00659-1

Authors: Maryna Prus, Hans-Peter Piepho

Institution: University of Hohenheim

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $2,990