NDLI: Allometry varies among related families of Norway spruce

Content Provider	Springer Nature Link
Author	Chmura, Daniel J. Guzicka, Marzenna Rożkowski, Roman Chałupka, Władysław
Copyright Year	2017
Abstract	Slopes and intercepts of allometric equations for organs’ biomass varied among half-sib families of Norway spruce and between age categories in a family-dependent manner. Genetic variation should be accounted for when applying allometric analysis to mixtures of genetic groups. Genetic variation in relationships among plant biomass components was rarely addressed in trees, though depending on deployment strategies in tree improvement programs, variation among genetic groups in plant organs’ growth rates, and thus biomass allocation, would affect forest growth and carbon balance.We investigated growth and biomass distribution in Norway spruce (Picea abies [L.] H. Karst) half-sib families. We assumed invariance among families in allometric relationships, and stability in growth rates of different organs between ages 2 and 8 years in the subset of those families. We also tested for ontogenetic trend in allometry using the independent dataset of biomass at age 21 years.We analyzed allometric relationships among plant components using standardized major axis regression.Slopes and intercepts of allometric relationships varied among families, indicating variation in both organs’ growth rates and biomass partitioning at a given plant size. Variation in scaling exponents between age categories was also dependent on the family and plant organ considered.Variation in slopes of allometric relationships indicates that a single scaling coefficient should not be applied when different genetic groups are compared. For the interpretation of age effect on biomass partitioning, both slopes and intercepts of allometric relationships should be examined.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISSN	12864560
Journal	Annals of Forest Science
Volume Number	74
Issue Number	2
e-ISSN	1297966X
Language	English
Publisher	Springer Paris
Publisher Date	2017-04-24
Publisher Institution	Institut National de la Recherche Agronomique (INRA)
Publisher Place	Paris
Access Restriction	Subscribed
Subject Keyword	Allocation Biomass Distribution Growth Partitioning Picea abies Forestry Wood Science & Technology Forestry Management Tree Biology Environment
Content Type	Text
Resource Type	Article
Subject	Ecology Forestry

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