TAILIEUCHUNG - Báo cáo lâm nghiệp: "Addressing spatial variability in provenance experiments exemplified in two trials with black spruc"

Tuyển tập những bài báo cáo nghiên cứu khoa học hay nhất được đăng trên tạp chí JOURNAL OF FOREST SCIENCE đề tài: Addressing spatial variability in provenance experiments exemplified in two trials with black spruce. | JOURNAL OF FOREST SCIENCE 53 2007 2 47-56 Addressing spatial variability in provenance experiments exemplified in two trials with black spruce T. Funda M. Lstiburek J. Klápstễ I. Permedlová J. Kobliha Faculty of Forestry and Environment Czech University of Life Sciences in Prague Prague Czech Republic ABSTRACT Two exemplary black spruce Picea mariana Mill. . 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 Most variety trials utilize complete or incomplete block designs and are analyzed with the traditional analysis of variance AN OVA . The last decade of the 20th century saw major improvements in the options available for the analysis of field trials. Experience with many analyses lead to the realization that spatial variation has multiple sources and classical field designs often fail to do justice to the spatial variability Cadena et al. 2000 . Though forest genetic trials are similar to agricultural variety field trials there are a number of differences. Forestry trials are often much larger because of the large size of individual plants and the higher replication needed to achieve satisfactory family estimates Dutkowski et al. 2002 . The size of forestry trials is also magnified by including large numbers of genetic .

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