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Genotype-by-environment interaction in coast redwood outside natural distribution - search for environmental cues.
Klápste, Jaroslav; Meason, Dean; Dungey, Heidi S; Telfer, Emily J; Silcock, Paul; Rapley, Simon.
Affiliation
  • Klápste J; Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3010, New Zealand. Jaroslav.Klapste@scionresearch.com.
  • Meason D; Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3010, New Zealand.
  • Dungey HS; Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3010, New Zealand.
  • Telfer EJ; Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Rotorua, 3010, New Zealand.
  • Silcock P; NZ Forestry Ltd., 701A Pollen Street, Thames, 3500, New Zealand.
  • Rapley S; The New Zealand Redwood Company, P.O. Box 1343, Taupo, 3351, New Zealand.
BMC Genet ; 21(1): 15, 2020 02 10.
Article in En | MEDLINE | ID: mdl-32041527
ABSTRACT

BACKGROUND:

Effective matching of genotypes and environments is required for the species to reach optimal productivity and act effectively for carbon sequestration. A common garden experiment across five different environments was undertaken to assess genotype x environment interaction (GxE) of coast redwood in order to understand the performance of genotypes across environments.

RESULTS:

The quantitative genetic analysis discovered no GxE between investigated environments for diameter at breast height (DBH). However, no genetic component was detected at one environment possibly due to stressful conditions. The implementation of universal response function allowed for the identification of important environmental factors affecting species productivity. Additionally, this approach enabled us to predict the performance of species across the New Zealand environmental conditions.

CONCLUSIONS:

In combination with quantitative genetic analysis which identified genetically superior material, the URF model can directly identify the optimal geographical regions to maximize productivity. However, the finding of ideally uncorrelated climatic variables for species with narrow ecological amplitude is rather challenging, which complicates construction of informative URF model. This, along with a small number of tested environments, tended to overfit a prediction model which resulted in extreme predictions in untested environments.
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Full text: 1 Database: MEDLINE Main subject: Quantitative Trait, Heritable / Sequoia / Environment / Gene-Environment Interaction / Genotype Type of study: Prognostic_studies Country/Region as subject: Oceania Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Quantitative Trait, Heritable / Sequoia / Environment / Gene-Environment Interaction / Genotype Type of study: Prognostic_studies Country/Region as subject: Oceania Language: En Year: 2020 Type: Article