Implications of accounting for marker-based population structure in the quantitative genetic evaluation of genetic parameters related to growth and wood properties in Norway spruce. Hayatgheibi, H., Hallingbäck, H. R., Lundqvist, S., Grahn, T., Scheepers, G., Nordström, P., Chen, Z., Kärkkäinen, K., Wu, H. X., & García-Gil, M. R. BMC Genomic Data, 25(1):60, June, 2024.
Implications of accounting for marker-based population structure in the quantitative genetic evaluation of genetic parameters related to growth and wood properties in Norway spruce [link]Paper  doi  abstract   bibtex   
Forest geneticists typically use provenances to account for population differences in their improvement schemes; however, the historical records of the imported materials might not be very precise or well-aligned with the genetic clusters derived from advanced molecular techniques. The main objective of this study was to assess the impact of marker-based population structure on genetic parameter estimates related to growth and wood properties and their trade-offs in Norway spruce, by either incorporating it as a fixed effect (model-A) or excluding it entirely from the analysis (model-B).
@article{hayatgheibi_implications_2024,
	title = {Implications of accounting for marker-based population structure in the quantitative genetic evaluation of genetic parameters related to growth and wood properties in {Norway} spruce},
	volume = {25},
	issn = {2730-6844},
	url = {https://doi.org/10.1186/s12863-024-01241-x},
	doi = {10.1186/s12863-024-01241-x},
	abstract = {Forest geneticists typically use provenances to account for population differences in their improvement schemes; however, the historical records of the imported materials might not be very precise or well-aligned with the genetic clusters derived from advanced molecular techniques. The main objective of this study was to assess the impact of marker-based population structure on genetic parameter estimates related to growth and wood properties and their trade-offs in Norway spruce, by either incorporating it as a fixed effect (model-A) or excluding it entirely from the analysis (model-B).},
	number = {1},
	urldate = {2024-07-01},
	journal = {BMC Genomic Data},
	author = {Hayatgheibi, Haleh and Hallingbäck, Henrik R. and Lundqvist, Sven-Olof and Grahn, Thomas and Scheepers, Gerhard and Nordström, Peter and Chen, Zhi-Qiang and Kärkkäinen, Katri and Wu, Harry X. and García-Gil, M. Rosario},
	month = jun,
	year = {2024},
	keywords = {Cross-validation, Norway spruce, Population structure, Prediction accuracy, Wood properties},
	pages = {60},
}

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