Genetic Parameters and Genotype-by-Environment Interactions in Regional Progeny Tests of Pinus taeda L. in the Southern USA. Issue 1 (1st December 2020)
- Record Type:
- Journal Article
- Title:
- Genetic Parameters and Genotype-by-Environment Interactions in Regional Progeny Tests of Pinus taeda L. in the Southern USA. Issue 1 (1st December 2020)
- Main Title:
- Genetic Parameters and Genotype-by-Environment Interactions in Regional Progeny Tests of Pinus taeda L. in the Southern USA
- Authors:
- Lauer, Edwin
Sims, Andrew
McKeand, Steven
Isik, Fikret - Abstract:
- Abstract: Genetic parameters were estimated using a five-series multienvironment trial of Pinus taeda L. in the southern USA. There were 324 half-sib families planted in five test series across 37 locations. A set of six variance/covariance matrices for the genotype-by-environment ( G × E ) effect for tree height and diameter were compared on the basis of model fit. In single-series analysis, extended factor analytical models provided generally superior model fit to simpler models for both traits; however, in the combined-series analysis, diameter was optimally modeled using simpler variance/covariance structures. A three-way compound term for modeling G × E interactions among and within series yielded substantial improvements in terms of model fit and standard errors of predictions. Heritability of family means ranged between 0.63 and 0.90 for both height and diameter. Average additive genetic correlations among sites were 0.70 and 0.61 for height and diameter, respectively, suggesting the presence of some G × E interaction. Pairs of sites with the lowest additive genetic correlations were located at opposite ends of the latitude range. Latent factor regression revealed a small number of parents with large factor scores that changed ranks significantly between southern and northern environments.
- Is Part Of:
- Forest science. Volume 67:Issue 1(2021)
- Journal:
- Forest science
- Issue:
- Volume 67:Issue 1(2021)
- Issue Display:
- Volume 67, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 67
- Issue:
- 1
- Issue Sort Value:
- 2021-0067-0001-0000
- Page Start:
- 60
- Page End:
- 71
- Publication Date:
- 2020-12-01
- Subjects:
- factor analytical mixed models -- tree breeding -- heritability -- genetic variance components
Forests and forestry -- Periodicals
Forest management -- Periodicals
Forest policy -- United States -- Periodicals
Forest management
Forest policy
Forests and forestry
United States
Electronic journals
Periodicals
634.9 - Journal URLs:
- https://academic.oup.com/forestscience ↗
https://search.proquest.com/publication/47511 ↗
http://www.oxfordjournals.org/ ↗
http://www.ingenta.com/journals/browse/saf/fs ↗
http://www.ingentaconnect.com/content/saf/fs ↗ - DOI:
- 10.1093/forsci/fxaa035 ↗
- Languages:
- English
- ISSNs:
- 0015-749X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21698.xml