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Genetic expression of Scots pine growth and survival in varying environments

Persson, Torgny (2006). Genetic expression of Scots pine growth and survival in varying environments. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2006:55
ISBN 91-576-7104-4
[Doctoral thesis]

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Abstract

The aim of the studies underlying this thesis was to quantify the genetic variability of important traits used for ranking candidate trees in northern Swedish Scots pine (Pinus sylvestris L.) breeding populations, with special focus on growth and survival and the genetic association between these traits. The thesis reports studies based on simulated data, field data from 28 progeny trials, and early test data from four artificial freezing experiments. The field and freezing experiments comprised half-sib progenies of Swedish and Finnish Scots pine plus-trees. The field trials (9–21 years old) were established in a wide range of environmental conditions. The traits analyzed were survival, tree height, spike knot frequency, branch diameter, branch angle, stem straightness, and susceptibility to infections of the fungi Phacidium infestans, Gremmeniella abietina, Melampsora pinitorqua and Lophodermella sulcigena. In the freezing experiments cold hardiness of 1-year-old seedlings was assessed after freezing in a climate chamber. In the simulation study the accuracy of single- and multiple-trait REML procedures was examined by studying estimates of within-individual genetic correlations between a categorical trait and a continuous trait with selectively deleted records. The average bias generated by multiple-trait REML was generally low, whereas single-trait REML systematically provided too moderate estimates. The variation among the correlations was generally high, showing that single-site estimates might be seriously misleading. The average within-site genetic correlation between tree height and field survival was generally positive, whereas corresponding between-site estimates were positive when the tree heights were assessed in harsh environments, but negative if the tree heights were assessed in mild environments (0.05 and –0.25, respectively). The genetic correlation between cold hardiness and field survival was on average positive (0.30), while the average correlation between cold hardiness and tree height was negative (–0.23). For the quality characters and susceptibility to infections of the pathogens, genetic associations with cold hardiness could not be verified. The most notable result was the contrasting correlation patterns across environments between tree height and field survival in the material sampled. The results show that tree heights from young trials located in harsh areas may reflect tree health and survival ability to a greater extent than growth capacity.

Authors/Creators:Persson, Torgny
Title:Genetic expression of Scots pine growth and survival in varying environments
Year of publishing :August 2006
Volume:2006:55
Number of Pages:19
Papers/manuscripts:
NumberReferences
ALLI. Persson, T. & Andersson, B. 2004. Accuracy of single- and multiple-trait REML evaluation of data including non-random missing records. Silvae Genetica 53, 135-139. II. Persson, T. & Andersson, B. 2003. Genetic variance and covariance patterns of growth and survival in northern Pinus sylvestris. Scandinavian Journal of Forest Research 18, 332-343. III. Persson, T., Ericsson, T. & Andersson, B. Contrasting covariance patterns between growth and survival in northern Pinus sylvestris. (Manuscript). IV. Persson, T., Andersson, B. & Ericsson, T. Relationship between autumn cold hardiness and field performance in northern Pinus sylvestris. (Manuscript).
Place of Publication:Umeå
ISBN for printed version:91-576-7104-4
ISSN:1652-6880
Language:English
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:pinus sylvestris, growth, survival, genetic correlation, genetic variation, cold tolerance, simulation, plant breeding, forest trees
Keywords:Genetic coefficient of variation, Genetic correlation, Monte Carlo simulation, Multiple-trait analysis, Narrow-sense heritability, Pinus sylvestris, REML.
URN:NBN:urn:nbn:se:slu:epsilon-1155
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-1155
ID Code:1163
Department:(S) > Dept. of Forest Genetics and Plant Physiology
Deposited By: Torgny Persson
Deposited On:23 Aug 2006 00:00
Metadata Last Modified:02 Dec 2014 10:10

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