%0 Journal Article
%T Quantitative trait loci controlling water use efficiency and related traits in Quercus robur L
%A Brendel, O.
%A Le Thiec, D.
%A Scotti-Saintagne, C.
%A Bodenes, C.
%A Kremer, A.
%A Guehl, J.M.
%J Tree Genetics & Genomes
%D 2008
%V 4
%N 2
%I SPRINGER HEIDELBERG
%@ 1614-2942
%F Brendel_etal2008
%O ISI:000253091100013
%O exported from refbase (http://php.ecofog.gf/refbase/show.php?record=143), last updated on Wed, 04 May 2011 10:47:13 -0300
%X Genetic variation for intrinsic water use efficiency (W-i) and related traits was estimated in a full-sib family of Quercus robur L. over 3 years. The genetic linkage map available for this F1 family was used to locate quantitative trait loci (QTL) for W-i, as estimated by leaf carbon stable isotope composition (delta C-13) or the ratio of net CO2 assimilation rate (A) to stomatal conductance to water vapour (g(w)) and related leaf traits. Gas exchange measurements were used to standardize estimates of A and g(w) and to model the sensitivity of gw to leaf-to-air vapour pressure deficit (sg(VPD)). delta C-13 varied by more than 3% among the siblings, which is equivalent to 40% variation of W-i. Most of the studied traits exhibited high clonal mean repeat-abilities (> 50%; proportion of clonal mean variability in global variance). Repeatabilities for delta C-13, leaf mass per area (LMA) and leaf nitrogen content were higher than 70%. For delta C-13, ten QTLs were detected, one of which was detected repeatedly for all 3 years and consistently explained more than 20% of measured variance. Four genomic regions were found in which co-localizing traits linked variation in W-i to variations in leaf chlorophyll and nitrogen content, LMA and sg(VPD). A positive correlation using clonal means between delta C-13 and A/g(w), as well as a co-localisation of QTL detected for both traits, can be seen as validation of the theoretical model linking the genetic architecture of these two traits.
%K Quercus robur
%K carbon isotope composition
%K delta C-13
%K water use efficiency
%K QTL
%P 263-278