Literature DB >> 29210601

Ranking Quantitative Resistance to Septoria tritici Blotch in Elite Wheat Cultivars Using Automated Image Analysis.

Petteri Karisto1, Andreas Hund1, Kang Yu1, Jonas Anderegg1, Achim Walter1, Fabio Mascher1, Bruce A McDonald1, Alexey Mikaberidze1.   

Abstract

Quantitative resistance is likely to be more durable than major gene resistance for controlling Septoria tritici blotch (STB) on wheat. Earlier studies hypothesized that resistance affecting the degree of host damage, as measured by the percentage of leaf area covered by STB lesions, is distinct from resistance that affects pathogen reproduction, as measured by the density of pycnidia produced within lesions. We tested this hypothesis using a collection of 335 elite European winter wheat cultivars that was naturally infected by a diverse population of Zymoseptoria tritici in a replicated field experiment. We used automated image analysis of 21,420 scanned wheat leaves to obtain quantitative measures of conditional STB intensity that were precise, objective, and reproducible. These measures allowed us to explicitly separate resistance affecting host damage from resistance affecting pathogen reproduction, enabling us to confirm that these resistance traits are largely independent. The cultivar rankings based on host damage were different from the rankings based on pathogen reproduction, indicating that the two forms of resistance should be considered separately in breeding programs aiming to increase STB resistance. We hypothesize that these different forms of resistance are under separate genetic control, enabling them to be recombined to form new cultivars that are highly resistant to STB. We found a significant correlation between rankings based on automated image analysis and rankings based on traditional visual scoring, suggesting that image analysis can complement conventional measurements of STB resistance, based largely on host damage, while enabling a much more precise measure of pathogen reproduction. We showed that measures of pathogen reproduction early in the growing season were the best predictors of host damage late in the growing season, illustrating the importance of breeding for resistance that reduces pathogen reproduction in order to minimize yield losses caused by STB. These data can already be used by breeding programs to choose wheat cultivars that are broadly resistant to naturally diverse Z. tritici populations according to the different classes of resistance.

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Year:  2018        PMID: 29210601     DOI: 10.1094/PHYTO-04-17-0163-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  12 in total

1.  Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments.

Authors:  Anik Dutta; Fanny E Hartmann; Carolina Sardinha Francisco; Bruce A McDonald; Daniel Croll
Journal:  ISME J       Date:  2021-01-15       Impact factor: 10.302

2.  The identification of a transposon affecting the asexual reproduction of the wheat pathogen Zymoseptoria tritici.

Authors:  Chen Wang; Andrew W Milgate; Peter S Solomon; Megan C McDonald
Journal:  Mol Plant Pathol       Date:  2021-05-05       Impact factor: 5.663

3.  Hyperspectral Canopy Sensing of Wheat Septoria Tritici Blotch Disease.

Authors:  Kang Yu; Jonas Anderegg; Alexey Mikaberidze; Petteri Karisto; Fabio Mascher; Bruce A McDonald; Achim Walter; Andreas Hund
Journal:  Front Plant Sci       Date:  2018-08-17       Impact factor: 5.753

4.  In-Field Detection and Quantification of Septoria Tritici Blotch in Diverse Wheat Germplasm Using Spectral-Temporal Features.

Authors:  Jonas Anderegg; Andreas Hund; Petteri Karisto; Alexey Mikaberidze
Journal:  Front Plant Sci       Date:  2019-10-25       Impact factor: 5.753

5.  Maintenance of variation in virulence and reproduction in populations of an agricultural plant pathogen.

Authors:  Anik Dutta; Daniel Croll; Bruce A McDonald; Luke G Barrett
Journal:  Evol Appl       Date:  2020-09-24       Impact factor: 5.183

Review 6.  Tackling microbial threats in agriculture with integrative imaging and computational approaches.

Authors:  Nikhil Kumar Singh; Anik Dutta; Guido Puccetti; Daniel Croll
Journal:  Comput Struct Biotechnol J       Date:  2020-12-29       Impact factor: 7.271

7.  Rapid sequence evolution driven by transposable elements at a virulence locus in a fungal wheat pathogen.

Authors:  Nikhil Kumar Singh; Thomas Badet; Leen Abraham; Daniel Croll
Journal:  BMC Genomics       Date:  2021-05-27       Impact factor: 3.969

8.  Rapid identification of an Arabidopsis NLR gene as a candidate conferring susceptibility to Sclerotinia sclerotiorum using time-resolved automated phenotyping.

Authors:  Adelin Barbacci; Olivier Navaud; Malick Mbengue; Marielle Barascud; Laurence Godiard; Mehdi Khafif; Aline Lacaze; Sylvain Raffaele
Journal:  Plant J       Date:  2020-04-21       Impact factor: 6.417

9.  RUST: A Robust, User-Friendly Script Tool for Rapid Measurement of Rust Disease on Cereal Leaves.

Authors:  Luis M Gallego-Sánchez; Francisco J Canales; Gracia Montilla-Bascón; Elena Prats
Journal:  Plants (Basel)       Date:  2020-09-11

10.  The role of vegetative cell fusions in the development and asexual reproduction of the wheat fungal pathogen Zymoseptoria tritici.

Authors:  Carolina Sardinha Francisco; Maria Manuela Zwyssig; Javier Palma-Guerrero
Journal:  BMC Biol       Date:  2020-08-11       Impact factor: 7.431

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