Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot
Botrytis
Table grape
Cuticle (hair)
DOI:
10.3389/fpls.2021.808365
Publication Date:
2022-02-10T05:03:05Z
AUTHORS (7)
ABSTRACT
Botrytis bunch rot is one of the economically most important fungal diseases in viticulture (aside from powdery mildew and downy mildew). So far, no active defense mechanisms resistance loci against necrotrophic pathogen are known. Since long, breeders mostly selecting phenotypically for loose grape bunches, which recently evident trait to decrease infection risk rot. This study focused on plant phenomics multiple traits by applying fast sensor technologies measure berry impedance (Z REL ), texture, 3D architecture. As references, microscopic determined cuticle thickness (MS CT ) infestation grapes with were used. Z hereby correlated density OIV204 (r = -0.6), berries 0.61), mean diameter -0.63), -0.7). However, correlation between maturity or texture was observed. In comparison category traditional varieties (mostly susceptible), elite breeding lines show an impressive increased value (+317) a 1-μm thicker cuticle. Quantitative (QTLs) LGs 2, 6, 11, 15, 16 identified explaining phenotypic variance 3 10.9%. These QTLs providing starting point development molecular markers. Modeling predict resilience revealed McFadden R2 0.99. Taken together, this shows that addition architecture, diameter, , values probably additional parameters could be used identify select Botrytis-resilient wine varieties. Furthermore, grapevine will benefit these reliable methodologies permitting high-throughput screening mechanical physical barriers The findings might also applicable table other fruit crops like tomato blueberry.
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