Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce

Tuuli Aro, Biyue Tan, Zhi‐Qiang Chen, Henrik Hallingbäck, Mari Suontama, Johan Westin, Harry Wu, Vaughan Hurry

Open source

DOI
10.1002/tpg2.70151
Published
2025-11-21
Container
The Plant Genome
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1002/tpg2.70151,
  title = {Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce},
  author = {Tuuli Aro and Biyue Tan and Zhi‐Qiang Chen and Henrik Hallingbäck and Mari Suontama and Johan Westin and Harry Wu and Vaughan Hurry},
  year = {2025},
  journal = {The Plant Genome},
  doi = {10.1002/tpg2.70151},
  url = {https://doi.org/10.1002/tpg2.70151}
}

RIS

TY  - JOUR
TI  - Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce
AU  - Tuuli Aro
AU  - Biyue Tan
AU  - Zhi‐Qiang Chen
AU  - Henrik Hallingbäck
AU  - Mari Suontama
AU  - Johan Westin
AU  - Harry Wu
AU  - Vaughan Hurry
PY  - 2025
JO  - The Plant Genome
DO  - 10.1002/tpg2.70151
UR  - https://doi.org/10.1002/tpg2.70151
ER  - 

APA

Aro, T., Tan, B., Chen, Z., Hallingbäck, H., Suontama, M., Westin, J., Wu, H., & Hurry, V. (2025). Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce. The Plant Genome. https://doi.org/10.1002/tpg2.70151

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