Addressing spatial variability in provenance experiments exemplified in two trials with black spruce

T. Funda, M. Lstibůrek, J. Klápště, I. Permedlová and J. Kobliha
Additional contact information
T. Funda: Faculty of Forestry and Environment, Czech University of Life Sciences in Prague, Prague, Czech Republic
M. Lstibůrek: Faculty of Forestry and Environment, Czech University of Life Sciences in Prague, Prague, Czech Republic
J. Klápště: Faculty of Forestry and Environment, Czech University of Life Sciences in Prague, Prague, Czech Republic
I. Permedlová: Faculty of Forestry and Environment, Czech University of Life Sciences in Prague, Prague, Czech Republic
J. Kobliha: Faculty of Forestry and Environment, Czech University of Life Sciences in Prague, Prague, Czech Republic

Journal of Forest Science, 2007, vol. 53, issue 2, 47-56

Abstract: Two exemplary black spruce (Picea mariana [Mill.] B.S.P.) provenance trials were analyzed using traditional and spatial techniques. The objective was to find out possible differences between these approaches in terms of both the resulting fit-statistics and the estimated mean heights of provenances. Further, the spatial model was consequently adjusted to treat global and extraneous sources of variation. As expected, models incorporating spatial variation provided a better fit to the data. Consequently, there was also a noticeable shift in ranking of individual provenances, which has an important implication for the interpretation of provenance experiments results. Problems associated with the analysis of traditional randomized block designs in forestry research are discussed.

Keywords: Picea mariana (Mill.); provenance research; REML; spatial variation (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://jfs.agriculturejournals.cz/doi/10.17221/2135-JFS.html (text/html)
http://jfs.agriculturejournals.cz/doi/10.17221/2135-JFS.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:53:y:2007:i:2:id:2135-jfs

DOI: 10.17221/2135-JFS

Access Statistics for this article

Journal of Forest Science is currently edited by Mgr. Ilona Procházková

More articles in Journal of Forest Science from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().