Mostrar el registro sencillo del ítem

dc.contributor.author
Addison, Sarah L.  
dc.contributor.author
Mendoza, Luciana L.  
dc.contributor.author
Rúa, Megan A.  
dc.contributor.author
Clinton, Peter W.  
dc.contributor.author
Pildain, María Belén  
dc.contributor.author
Molina, Lucia  
dc.contributor.author
Wakelin, Steve A.  
dc.date.available
2026-01-02T13:40:37Z  
dc.date.issued
2025-10  
dc.identifier.citation
Addison, Sarah L.; Mendoza, Luciana L.; Rúa, Megan A.; Clinton, Peter W.; Pildain, María Belén; et al.; A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties; Elsevier; Data in Brief; 63; 112123; 10-2025; 1-12  
dc.identifier.issn
2352-3409  
dc.identifier.uri
http://hdl.handle.net/11336/278623  
dc.description.abstract
Pinus radiata D. Don is one of the most widely planted conifer species globally. While it holds major commercial importance as a softwood plantation tree, its native populations are endangered, making it a species of high conservation value. Here, we present a comprehensive dataset of genetic variation in P. radiata, derived from 821 trees (113 endemic and 708 introduced) sampled across 16 countries. These include both highly domesticated material used in commercial forestry and genetically unaltered individuals from endemic populations. Genotyping was performed using genotype-by-sequencing (GBS), also known as double-digest RAD sequencing (ddRADseq), from P. radiata needle-derived genomic DNA. Alongside the SNP-by-sample dataset, we provide an identity-by-state (IBS) matrix capturing genetic relatedness among individuals. These resources can help trace the genetic origins of current tree breeding selections, identify opportunities to introgress novel genetic material to improve form, growth, and resilience, understand invasiveness of the taxon and guide efforts in conservation and restoration while maintaining the genetic integrity of endemic populations of this globally important species.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COSERVATION  
dc.subject
FORESTRY  
dc.subject
GENETIC GAIN  
dc.subject
POPULATION ECOLOGY  
dc.subject.classification
Bioquímica y Biología Molecular  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A genotype-by-sequencing dataset and identity-by-state matrix of genetic variation in 821 Pinus radiata trees from 16 counties  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2025-11-17T11:03:55Z  
dc.journal.volume
63  
dc.journal.number
112123  
dc.journal.pagination
1-12  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Addison, Sarah L.. Bioeconomy Science Institute; Nueva Zelanda  
dc.description.fil
Fil: Mendoza, Luciana L.. Island Ecology And Conservation Group; México  
dc.description.fil
Fil: Rúa, Megan A.. Wright State University; Estados Unidos  
dc.description.fil
Fil: Clinton, Peter W.. Bioeconomy Science Institute; Nueva Zelanda  
dc.description.fil
Fil: Pildain, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina  
dc.description.fil
Fil: Molina, Lucia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina  
dc.description.fil
Fil: Wakelin, Steve A.. Bioeconomy Science Institute; Nueva Zelanda  
dc.journal.title
Data in Brief  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2352340925008443  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.dib.2025.112123