Plant Phenomics / 2019 / Article / Tab 1

Research Article

A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew

Table 1

Plant Material. The resistance locus status of grapevine germplasm samples used for neural network training and the three performance experiments: (1) expert comparison, (2) time series, and (3) hyphal transect comparison.

Expected responseSample IDExpected resistance loci †Task

ResistantRen-stackRUN1, REN1, REN6, and REN7Experiments 2 and 3
ResistantDVIT2732-9 and DVIT2732-81REN4Experiment 1
ModerateDVIT2732-6unknownExperiment 1
ModerateVitis cinerea B9REN2Training
Moderate452033, 452036, and 452051REN3/REN9 or similarExperiments 2 and 3
ModerateBloodworth 81-107-11RUN2.1Training
ModerateV. vinifera “Chardonnay” oldOntogenically resistant leavesTraining
SusceptibleV. viniferaChardonnaySEN1 susceptibilityTraining, Experiments 1, 2 and 3

The bold terms are used in the remainder of the text, tables, and figures for simplicity.
† The resistance loci (alleles) present in each vine are listed here, based on AmpSeq analysis of previously published markers [1720]. DVIT2732-6 lacks REN4 but has moderate resistance from an unknown pollen donor. The full-sibling progeny (452033, 452036, and 452051) of the biparental cross “Horizon” × V. rupestris B38 likely carries the REN3/REN9 locus conferring moderate resistance.

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