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- Title
Phenotypic trait variation in a long-term multisite common garden experiment of Scots pine in Scotland.
- Authors
Beaton, Joan; Perry, Annika; Cottrell, Joan; Iason, Glenn; Stockan, Jenni; Cavers, Stephen
- Abstract
Multisite common garden experiments, exposing common pools of genetic diversity to a range of environments, allow quantification of plastic and genetic components of trait variation. For tree species, such studies must be long term as they typically only express mature traits after many years. As well as evaluating standing genetic diversity, these experiments provide an ongoing test of genetic variation against changing environmental conditions and form a vital resource for understanding how species respond to abiotic and biotic variation. Finally, quantitative assessments of phenotypic variation are essential to pair with rapidly accumulating genomic data to advance understanding of the genetic basis of trait variation, and its interaction with climatic change. We describe a multisite, population-progeny, common garden experiment of the economically and ecologically important tree species, Scots pine, collected from across its native range in Scotland and grown in three contrasting environments. Phenotypic traits, including height, stem diameter and budburst were measured over 14 growing seasons from nursery to field site. The datasets presented have a wide range of applications. Measurement(s) Cone length • Cone weight • Cone width • Height • Viable seed number • Viable seed weight • stem diameter • canopy width • needle length • number of buds • budburst timing • height increment • stem diameter increment • growth cessation • seed viability Technology Type(s) sliding caliper • balance • ruler • natural number • measuring tape • budburst scale Factor Type(s) field site location • tree family • tree population Sample Characteristic - Organism Pinus sylvestris Sample Characteristic - Location Scotland
- Subjects
SCOTLAND; PHENOTYPIC plasticity; SCOTS pine; SEED technology; NATURAL numbers; SEED viability; GENETIC variation
- Publication
Scientific Data, 2022, Vol 9, Issue 1, p1
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-022-01791-8