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Statements

Subject Item
n2:RIV%2F60460709%3A41320%2F07%3A17923%21RIV08-MSM-41320___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
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. 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. 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.
dcterms:title
Hodnocení provenienčních experimentů se zohledněním prostorových autokorelací na příkladu dvou ploch se smrkem černým Addressing spatial variability in provenance experiments exemplified in two trials with black spruce Addressing spatial variability in provenance experiments exemplified in two trials with black spruce
skos:prefLabel
Hodnocení provenienčních experimentů se zohledněním prostorových autokorelací na příkladu dvou ploch se smrkem černým Addressing spatial variability in provenance experiments exemplified in two trials with black spruce Addressing spatial variability in provenance experiments exemplified in two trials with black spruce
skos:notation
RIV/60460709:41320/07:17923!RIV08-MSM-41320___
n3:strany
47;56
n3:aktivita
n14:Z
n3:aktivity
Z(MSM 414100007)
n3:cisloPeriodika
2
n3:dodaniDat
n18:2008
n3:domaciTvurceVysledku
n5:9736697 n5:7730454 n5:8089604 n5:5908639 n5:2773805
n3:druhVysledku
n17:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
408566
n3:idVysledku
RIV/60460709:41320/07:17923
n3:jazykVysledku
n7:eng
n3:klicovaSlova
Picea mariana (Mill.), provenance research, REML, spatial variation
n3:klicoveSlovo
n13:provenance%20research n13:spatial%20variation n13:REML n13:Picea%20mariana%20%28Mill.%29
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[A6D01971A6AB]
n3:nazevZdroje
Journal of Forest Science
n3:obor
n12:GK
n3:pocetDomacichTvurcuVysledku
5
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n18:2007
n3:svazekPeriodika
53
n3:tvurceVysledku
Fundová, Irena Klápště, Jaroslav Funda, Tomáš Lstibůrek, Milan Kobliha, Jaroslav
n3:zamer
n8:MSM%20414100007
s:issn
1212-4834
s:numberOfPages
10
n16:organizacniJednotka
41320