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Influence of cambial age and climate on ring width and wood density in Pinus radiata families

Identifieur interne : 005E38 ( PascalFrancis/Curation ); précédent : 005E37; suivant : 005E39

Influence of cambial age and climate on ring width and wood density in Pinus radiata families

Auteurs : Miloš Ivkovic [Australie] ; Washington Gapare [Australie] ; Harry Wu [Australie] ; Sergio Espinoza [Chili] ; Philippe Rozenberg [France]

Source :

RBID : Pascal:15-0049493

Descripteurs français

English descriptors

Abstract

Context The correlation between tree ring width and density and short-term climate fluctuations may be a useful tool for predicting response of wood formation process to long-term climate change. . Aims This study examined these correlations for different radiata pine genotypes and aimed at detecting potential genotype by climate interactions. . Methods Four data sets comprising ring width and density of half- and full-sib radiata pine families were used. Correlations with climate variables were examined, after the extraction of the effect of cambial age. . Results Cambial age explained the highest proportion of the ring to ring variation in all variables. Calendar year and year by family interaction explained a smaller but significant proportion of the variation. Rainfall had a positive correlation with ring width and, depending on test site, either a negative or positive correlation with ring density. Correlations between temperature during growing season and ring density were generally negative. . Conclusion Climate variables that influence ring width and wood density can be identified from ring profiles, after removing the cambial age effect. Families can be selected that consistently show desirable response to climate features expected to become prevalent as a result of climate change.
pA  
A01 01  1    @0 1286-4560
A03   1    @0 Ann. for. sci. : (Print)
A05       @2 70
A06       @2 5
A08 01  1  ENG  @1 Influence of cambial age and climate on ring width and wood density in Pinus radiata families
A11 01  1    @1 IVKOVIC (Miloš)
A11 02  1    @1 GAPARE (Washington)
A11 03  1    @1 WU (Harry)
A11 04  1    @1 ESPINOZA (Sergio)
A11 05  1    @1 ROZENBERG (Philippe)
A14 01      @1 Plant Industry, Commonwealth Scientific and Industry Research Organisation, GPO Box 1600 @2 Canberra, ACT 2601 @3 AUS @Z 1 aut. @Z 2 aut. @Z 3 aut.
A14 02      @1 Dryland Technological Center, The Catholic University of Maule @2 Talca @3 CHL @Z 4 aut.
A14 03      @1 Unité de Recherche Amelioration, Génétique et Physiologie Forestières, INRA @2 Orléans @3 FRA @Z 5 aut.
A20       @1 525-534
A21       @1 2013
A23 01      @0 ENG
A43 01      @1 INIST @2 959 @5 354000509071880080
A44       @0 0000 @1 © 2015 INIST-CNRS. All rights reserved.
A45       @0 3/4 p.
A47 01  1    @0 15-0049493
A60       @1 P
A61       @0 A
A64 01  1    @0 Annals of forest science : (Print)
A66 01      @0 FRA
C01 01    ENG  @0 Context The correlation between tree ring width and density and short-term climate fluctuations may be a useful tool for predicting response of wood formation process to long-term climate change. . Aims This study examined these correlations for different radiata pine genotypes and aimed at detecting potential genotype by climate interactions. . Methods Four data sets comprising ring width and density of half- and full-sib radiata pine families were used. Correlations with climate variables were examined, after the extraction of the effect of cambial age. . Results Cambial age explained the highest proportion of the ring to ring variation in all variables. Calendar year and year by family interaction explained a smaller but significant proportion of the variation. Rainfall had a positive correlation with ring width and, depending on test site, either a negative or positive correlation with ring density. Correlations between temperature during growing season and ring density were generally negative. . Conclusion Climate variables that influence ring width and wood density can be identified from ring profiles, after removing the cambial age effect. Families can be selected that consistently show desirable response to climate features expected to become prevalent as a result of climate change.
C02 01  X    @0 002A33
C03 01  X  FRE  @0 Cambium @5 01
C03 01  X  ENG  @0 Cambium @5 01
C03 01  X  SPA  @0 Cambio @5 01
C03 02  X  FRE  @0 Age @5 02
C03 02  X  ENG  @0 Age @5 02
C03 02  X  SPA  @0 Edad @5 02
C03 03  X  FRE  @0 Climat @5 03
C03 03  X  ENG  @0 Climate @5 03
C03 03  X  SPA  @0 Clima @5 03
C03 04  X  FRE  @0 Cerne bois @5 04
C03 04  X  ENG  @0 Tree ring @5 04
C03 04  X  SPA  @0 Anillo madera @5 04
C03 05  X  FRE  @0 Bois initial @5 05
C03 05  X  ENG  @0 Early wood @5 05
C03 05  X  SPA  @0 Madera inicial @5 05
C03 06  X  FRE  @0 Densité @5 06
C03 06  X  ENG  @0 Density @5 06
C03 06  X  SPA  @0 Densidad @5 06
C03 07  X  FRE  @0 Changement climatique @5 07
C03 07  X  ENG  @0 Climate change @5 07
C03 07  X  SPA  @0 Cambio climático @5 07
C03 08  X  FRE  @0 Bois final @5 08
C03 08  X  ENG  @0 Late wood @5 08
C03 08  X  SPA  @0 Madera final @5 08
C03 09  X  FRE  @0 Foresterie @5 09
C03 09  X  ENG  @0 Forestry @5 09
C03 09  X  SPA  @0 Ciencias forestales @5 09
C03 10  X  FRE  @0 Pinus radiata @2 NS @5 10
C03 10  X  ENG  @0 Pinus radiata @2 NS @5 10
C03 10  X  SPA  @0 Pinus radiata @2 NS @5 10
C07 01  X  FRE  @0 Climatologie dynamique
C07 01  X  ENG  @0 Dynamical climatology
C07 01  X  SPA  @0 Climatología dinámica
C07 02  X  FRE  @0 Coniferales @2 NS
C07 02  X  ENG  @0 Coniferales @2 NS
C07 02  X  SPA  @0 Coniferales @2 NS
C07 03  X  FRE  @0 Gymnospermae @2 NS
C07 03  X  ENG  @0 Gymnospermae @2 NS
C07 03  X  SPA  @0 Gymnospermae @2 NS
C07 04  X  FRE  @0 Spermatophyta @2 NS
C07 04  X  ENG  @0 Spermatophyta @2 NS
C07 04  X  SPA  @0 Spermatophyta @2 NS
C07 05  X  FRE  @0 Arbre forestier résineux @5 31
C07 05  X  ENG  @0 Softwood forest tree @5 31
C07 05  X  SPA  @0 Arbol forestal resinoso @5 31
N21       @1 166
N44 01      @1 OTO
N82       @1 OTO

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Pascal:15-0049493

Le document en format XML

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<term>Forestry</term>
<term>Late wood</term>
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<term>Changement climatique</term>
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<div type="abstract" xml:lang="en">Context The correlation between tree ring width and density and short-term climate fluctuations may be a useful tool for predicting response of wood formation process to long-term climate change. . Aims This study examined these correlations for different radiata pine genotypes and aimed at detecting potential genotype by climate interactions. . Methods Four data sets comprising ring width and density of half- and full-sib radiata pine families were used. Correlations with climate variables were examined, after the extraction of the effect of cambial age. . Results Cambial age explained the highest proportion of the ring to ring variation in all variables. Calendar year and year by family interaction explained a smaller but significant proportion of the variation. Rainfall had a positive correlation with ring width and, depending on test site, either a negative or positive correlation with ring density. Correlations between temperature during growing season and ring density were generally negative. . Conclusion Climate variables that influence ring width and wood density can be identified from ring profiles, after removing the cambial age effect. Families can be selected that consistently show desirable response to climate features expected to become prevalent as a result of climate change.</div>
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<s0>Context The correlation between tree ring width and density and short-term climate fluctuations may be a useful tool for predicting response of wood formation process to long-term climate change. . Aims This study examined these correlations for different radiata pine genotypes and aimed at detecting potential genotype by climate interactions. . Methods Four data sets comprising ring width and density of half- and full-sib radiata pine families were used. Correlations with climate variables were examined, after the extraction of the effect of cambial age. . Results Cambial age explained the highest proportion of the ring to ring variation in all variables. Calendar year and year by family interaction explained a smaller but significant proportion of the variation. Rainfall had a positive correlation with ring width and, depending on test site, either a negative or positive correlation with ring density. Correlations between temperature during growing season and ring density were generally negative. . Conclusion Climate variables that influence ring width and wood density can be identified from ring profiles, after removing the cambial age effect. Families can be selected that consistently show desirable response to climate features expected to become prevalent as a result of climate change.</s0>
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<s5>08</s5>
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<s5>08</s5>
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<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Pinus radiata</s0>
<s2>NS</s2>
<s5>10</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Climatologie dynamique</s0>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Dynamical climatology</s0>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Climatología dinámica</s0>
</fC07>
<fC07 i1="02" i2="X" l="FRE">
<s0>Coniferales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG">
<s0>Coniferales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA">
<s0>Coniferales</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE">
<s0>Gymnospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG">
<s0>Gymnospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA">
<s0>Gymnospermae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="FRE">
<s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="ENG">
<s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="SPA">
<s0>Spermatophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="FRE">
<s0>Arbre forestier résineux</s0>
<s5>31</s5>
</fC07>
<fC07 i1="05" i2="X" l="ENG">
<s0>Softwood forest tree</s0>
<s5>31</s5>
</fC07>
<fC07 i1="05" i2="X" l="SPA">
<s0>Arbol forestal resinoso</s0>
<s5>31</s5>
</fC07>
<fN21>
<s1>166</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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