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Sökning: WFRF:(Grahn Thomas) > (2020-2024) > Implications of acc...

  • Hayatgheibi, HalehSLU Swedish University of Agricultural Sciences, Sweden (författare)

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

  • Artikel/kapitelEngelska2024

Förlag, utgivningsår, omfång ...

  • BioMed Central Ltd,2024
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:ri-73762
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-73762URI
  • https://doi.org/10.1186/s12863-024-01241-xDOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • This study was funded by the EU project Assess4EST under ForestValue with grant number Forestvalue_JC2021_JES_087
  • Background: 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). Results: Our results indicate that models incorporating population structure significantly reduce estimates of additive genetic variance, resulting in substantial reduction of narrow-sense heritability. However, these models considerably improve prediction accuracies. This was particularly significant for growth and solid-wood properties, which showed to have the highest population genetic differentiation (QST) among the studied traits. Additionally, although the pattern of correlations remained similar across the models, their magnitude was slightly lower for models that included population structure as a fixed effect. This suggests that selection, consistently performed within populations, might be less affected by unfavourable genetic correlations compared to mass selection conducted without pedigree restrictions. Conclusion: We conclude that the results of models properly accounting for population structure are more accurate and less biased compared to those neglecting this effect. This might have practical implications for breeders and forest managers where, decisions based on imprecise selections can pose a high risk to economic efficiency.

Ämnesord och genrebeteckningar

  • NATURVETENSKAP Biologi hsv//swe
  • NATURAL SCIENCES Biological Sciences hsv//eng
  • Genetic Markers; Genetic Variation; Genetics
  • Population; Models
  • Genetic; Picea; Wood; article; cross validation; economic efficiency; forest; genetic correlation; genetic parameters; genetic variability; geneticist; heritability; Norway spruce; pedigree; population structure; prediction; quantitative sensory testing; wood; biological model; genetic marker; genetic variation; genetics; growth
  • development and aging; population genetics; procedures; spruce

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Hallingbäck, Henrik R.Skogforsk, Sweden (författare)
  • Lundqvist, Sven-OlofIIC, Sweden (författare)
  • Grahn, ThomasRISE,Massa, papper och förpackningar(Swepub:ri)ThomasGr@ri.se (författare)
  • Scheepers, GerhardRISE,Bygg och fastighet(Swepub:ri)GerhardSc1@ri.se (författare)
  • Nordström, PeterRISE,Bygg och fastighet (författare)
  • Chen, Zhi-QiangSLU Swedish University of Agricultural Sciences, Sweden (författare)
  • Kärkkäinen, KatriLUKE, Finland (författare)
  • Wu, Harry X.SLU Swedish University of Agricultural Sciences, Sweden; Beijing Forestry University, China; CSIRO, Australia (författare)
  • García-Gil, M. RosarioSLU Swedish University of Agricultural Sciences, Sweden (författare)
  • SLU Swedish University of Agricultural Sciences, SwedenSkogforsk, Sweden (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:BMC Genomic Data: BioMed Central Ltd25:12730-6844

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