The reliability of leaf bioassays for predicting disease resistance on fruit: a case study on grapevine resistance to downy and powdery mildew
Version of Record online: 3 AUG 2012
© 2012 The Authors. Plant Pathology © 2012 BSPP
Volume 62, Issue 3, pages 533–544, June 2013
How to Cite
Calonnec, A., Wiedemann-Merdinoglu, S., Delière, L., Cartolaro, P., Schneider, C. and Delmotte, F. (2013), The reliability of leaf bioassays for predicting disease resistance on fruit: a case study on grapevine resistance to downy and powdery mildew. Plant Pathology, 62: 533–544. doi: 10.1111/j.1365-3059.2012.02667.x
- Issue online: 22 APR 2013
- Version of Record online: 3 AUG 2012
Figure S1. Frequency distribution of bioassayindicator scores (OIV classes) for genotypes characterized fortheir level of severity on leaves (<5% or ≥5%) in thefield.
Figure S2. PLS path model describing therelationships between the endogenous latent variable ‘diseaseon leaves’, ‘disease on bunches’ to the otherlatent exogenous variables ‘host growth’ and‘QTL’. Corr indicates the correlation coefficientbetween two latent variables; CR2, the relative contribution ofexogenous latent variables to endogenous one; Reg, the coefficientof regression; R2, the regression coefficientbetween the endogenous latent variable and its exogenous latentvariables. W indicates the weight of each manifest variable to itslatent variable.
|ppa2667_sm_FigureS1.pdf||67K||Supporting info item|
|ppa2667_sm_FigureS2.pdf||44K||Supporting info item|
|ppa2667_sm_legends.docx||15K||Supporting info item|
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.