PreprintAll rights reservedbioRxiv
A hierarchical Bayesian model for dynamic phenotypes in multi-environment trials with genotype by environment interaction
- 1Wageningen University & Research
Related
- Genotype-by-environment interaction analysis for flowering, maturity time and yield in fonio across traditional and prospective production areas in Northern Benin
- Genotype x environment interaction for stomata traits in a rice recombinant inbred population
- Genotype by environment interaction analysis for fall armyworm (Spodoptera frugiperda) response and yield stability of maize hybrids (Zea maize L.) in southern Ethiopia
- Genotype by environment interaction under two production systems utilizing a random regression model for milk production traits in multiparous South African Holstein dairy cattle.
- Genomic and Epigenomic Relationships Capture Different Patterns of Genotype-by-Environment Interaction in Grapevine Clones
BibTeX
@misc{gugushvili2026hierarchical,
title = {{A hierarchical Bayesian model for dynamic phenotypes in multi-environment trials with genotype by environment interaction}},
author = {S. Gugushvili and G. A. K. van Voorn and M. P. Boer and D. Bustos-Korts and S. Huynh Truong and N. A. Friedenberg and R. McCormick and S. Chapman and F. van Eeuwijk},
howpublished = {bioRxiv},
year = {2026},
month = nov,
doi = {10.64898/2026.11.05.764527},
url = {https://www.biorxiv.org/content/10.64898/2026.11.05.764527v1},
}
RIS
TY - UNPB
TI - A hierarchical Bayesian model for dynamic phenotypes in multi-environment trials with genotype by environment interaction
AU - S. Gugushvili
AU - G. A. K. van Voorn
AU - M. P. Boer
AU - D. Bustos-Korts
AU - S. Huynh Truong
AU - N. A. Friedenberg
AU - R. McCormick
AU - S. Chapman
AU - F. van Eeuwijk
PY - 2026
DA - 2026/11/05
PB - bioRxiv
DO - 10.64898/2026.11.05.764527
UR - https://www.biorxiv.org/content/10.64898/2026.11.05.764527v1
ER -