Identifying and testing marker-trait associations for growth and phenology in three pine species: Implications for genomic prediction.

SNP array Scots pine common garden trial genetic variation local adaptation marker–trait association predictive model quantitative trait

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 09 02 2021
revised: 08 12 2021
accepted: 09 12 2021
entrez: 2 3 2022
pubmed: 3 3 2022
medline: 3 3 2022
Statut: epublish

Résumé

In tree species, genomic prediction offers the potential to forecast mature trait values in early growth stages, if robust marker-trait associations can be identified. Here we apply a novel multispecies approach using genotypes from a new genotyping array, based on 20,795 single nucleotide polymorphisms (SNPs) from three closely related pine species (

Identifiants

pubmed: 35233251
doi: 10.1111/eva.13345
pii: EVA13345
pmc: PMC8867712
doi:

Types de publication

Journal Article

Langues

eng

Pagination

330-348

Informations de copyright

© 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Annika Perry (A)

UK Centre for Ecology & Hydrology Edinburgh Penicuik UK.

Witold Wachowiak (W)

Institute of Environmental Biology Faculty of Biology Adam Mickiewicz University in Poznań Poznań Poland.

Joan Beaton (J)

James Hutton Institute Aberdeen UK.

Glenn Iason (G)

James Hutton Institute Aberdeen UK.

Joan Cottrell (J)

Northern Research Station, Forest Research Roslin UK.

Stephen Cavers (S)

UK Centre for Ecology & Hydrology Edinburgh Penicuik UK.

Classifications MeSH