% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Fichtl:1049167,
author = {Fichtl, Lukas and Steng, Katharina and Schnepf, Andrea and
Friedel, Matthias},
title = {{R}ootstock genotype shapes whole-plant 3-{D} architecture
and biomass allocation in field-grown grapevines},
journal = {Annals of botany},
volume = {mcaf193},
issn = {0305-7364},
address = {Oxford},
publisher = {Oxford University Press},
reportid = {FZJ-2025-05250},
pages = {mcaf193},
year = {2025},
abstract = {• Background and Aims In perennial crops, efficient
resource acquisition critically depends on
whole-plantarchitecture, encompassing both canopy and root
systems. In grafted grapevine, research has largely focused
onscion canopy structure, whereas root system architecture
– despite its key role in water and nutrient uptake
–remains underexplored. This study comprehensively
analysed whole-plant 3-D architecture during
vineyardestablishment, investigating how different rootstock
genotypes influence both root and shoot development.•
Methods Riesling scions were grafted onto three rootstock
genotypes (101-14, SO4 and 110R) and planted in avineyard
following a randomized complete block design. Whole-plant
excavations and high-resolution 3-Ddigitization were
performed to capture spatial data of root and shoot systems
from 96 vines at four time pointsover 2 years (3, 6, 15 and
18 months after planting). Key architectural parameters and
biomass partitioningwere quantified.• Key Results
Rootstock genotype strongly influenced whole-plant 3-D
architecture and biomass allocation.110R developed
significantly deeper, vertically oriented root systems (max
depth 180 cm) and exhibited higherroot-to-shoot biomass
ratios compared to SO4 and 101-14. Multivariate analysis
identified deep root length andoverall spatial root system
dimensions as primary discriminators among genotypes. Root
growth across allgenotypes was spatially biased along the
planting row, with limited extension into the inter-row
soil.• Conclusions Rootstock genotype is a key determinant
of whole-plant 3-D architecture and biomass partitioning.The
integration of above- and below-ground structural data
enables mechanistic interpretation of
rootstockmediatedtraits relevant to resource acquisition and
stress adaptation. Our comprehensive 3-D data set providesa
valuable foundation for functional–structural plant
modelling and offers practical insights for targetedbreeding
and management strategies to enhance climate resilience in
perennial crops.},
cin = {IBG-3},
ddc = {580},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
doi = {10.1093/aob/mcaf193},
url = {https://juser.fz-juelich.de/record/1049167},
}