Spatiotemporal distribution of Ascochyta pinodes and Ascochyta pinodella during the winter growing season in France. (30th January 2018)

• Record Type: Journal Article
• Authors: Le May, C.; Chilvers, M. I.; Saucereau, A. L.; Guibert, M.; Peever, T. L.
• Is Part Of: Plant pathology. Volume 67:Number 5(2018)
• Page Start: 1031
• Page End: 1045
• Publication Date: 2018-01-30
• Subjects: ascochyta blight -- Ascochyta pinodella -- Ascochyta pinodes -- disease complex -- epidemic -- Pisum sativum; Agricultural pests -- Periodicals; Plant diseases -- Periodicals; 632
• DOI: 10.1111/ppa.12823
• Languages: English
• ISSNs: 0032-0862

Abstract

Abstract : Ascochyta blight of pea is caused by four related fungi, Ascochyta pisi, Phoma koolunga, Ascochyta pinodes and Ascochyta pinodella . The latter two taxa appear to be much more common and economically significant worldwide but the relative impact of each fungus on ascochyta blight epidemics is not well understood. To study the spatiotemporal distribution of A. pinodes and A. pinodella infecting pea in France, 368 isolates were sampled monthly, from February to May, at three locations (Rennes, Boigneville and Dijon) and molecular markers were used to genotype isolates. The aggressiveness of isolates from the fourth sampling date was estimated using a detached leaf assay on the winter cultivar Enduro. Disease was low during the sampling period as climatic conditions were generally not conducive to disease development (cold temperature, low rainfall). Population genetic analysis showed that 99% of the observed variation could be attributed to variation within populations compared to only 1% among populations. Both species were observed in each location, although A. pinodella was observed at a lower frequency (6–32%). Moreover, results showed that both species could develop on different nodes of the plant. Significant differences in aggressiveness were observed between species and among isolates within species with A. pinodes isolates being significantly more aggressive on average than A. pinodella isolates. These results emphasize the necessity to study the components of disease complexes in order to understand the impact of pathogen species interactions on disease and yield reduction as well as the dynamics of disease epidemics during the cropping season.