Risk assessment of Aphanomyces euteiches root rot disease: quantification of low inoculum densities in field soils using droplet digital PCR-Reference-Cited by-同舟云学术

Risk assessment of Aphanomyces euteiches root rot disease: quantification of low inoculum densities in field soils using droplet digital PCR

Published:2021-09-14 Issue:3 Volume:161 Page:503-528
ISSN:0929-1873
Container-title:European Journal of Plant Pathology
language:en
Short-container-title:Eur J Plant Pathol

Author:

Gibert Simon^ORCID,Edel-Hermann Véronique^ORCID,Moussa Mcolo Rayanti,Gautheron Elodie^ORCID,Michel Joël,Bernaud Eric,Gautheron Nadine^ORCID,Sol Jean-Marie,Capelle Gery,Galland Rachel,Bardon-Debats Arnaud,Lambert Claudine,Steinberg Christian^ORCID

Funder

Bonduelle SAS and ANRT-CIFRE

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s10658-021-02325-5.pdf

Reference83 articles.

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2. Albers, C. N., Jensen, A., Baelum, J., & Jacobsen, C. S. (2013). Inhibition of DNA polymerases used in q-PCR by structurally different soil-derived humic substances. Geomicrobiololy Journal, 30, 675–681. https://doi.org/10.1080/01490451.2012.758193.

3. Almquist, C., Persson, L., Olsson, A., Sundstrom, J., & Jonsson, A. (2016). Disease risk assessment of sugar beet root rot using quantitative real-time PCR analysis of Aphanomyces cochlioides in naturally infested soil samples. European. Journal of Plant Pathology, 145, 731–742. https://doi.org/10.1007/s10658-016-0862-5.

4. Anees, M., Edel-Hermann, V., & Steinberg, C. (2010). Build up of patches caused by Rhizoctonia solani. Soil Biology and Biochemestry, 42, 1661–1672. https://doi.org/10.1016/j.soilbio.2010.05.013.

5. Barton, K. (2020). MuMIn: Multi-model inference. R package version 1.43.17. https://CRAN.R-project.org/package=MuMIn

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