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• W3153158864 abstract "Sweet cherries (Prunus avium) are an economically important crop in British Columbia, Canada. Cherries are harvested and distributed locally and overseas, where seemingly healthy fruit can succumb to postharvest diseases if disease conditions are met. Disease mitigation includes pre-harvest controls such as disease prediction models, disease monitoring, and fungicide applications. Development of disease-prediction models requires an understanding of how host and environmental conditions can affect the quantity of pathogens; therefore, quick, sensitive and accurate methods for pathogen quantification are required. This study has identified Alternaria spp. and Botrytis cinerea as major contributors to sweet cherry rot in Kelowna, British Columbia, in 2016 and developed a novel duplex droplet digital PCR assay for the rapid, concurrent quantification of the two pathogens. The assay involves the amplification of two abundant target regions, the internal transcribed spacer, and the intergenic spacer, in Alternaria spp. and B. cinerea, respectively. The detection limit was 0.1 pg of DNA for each target. The assay was validated during the 2016 and 2017 growing seasons at the bud break (2017 only), full bloom, petal fall, onset of straw colour and harvest stages of sweet cherry. In general, pathogen quantities were lowest at petal fall and highest during late season. The method can be used in future studies to evaluate pathogen quantities during the growing season and to facilitate the development of disease-prediction models and mitigation practices for growers." @default.
• W3153158864 created "2021-04-26" @default.
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• W3153158864 date "2021-05-21" @default.
• W3153158864 modified "2023-09-27" @default.
• W3153158864 title "A duplex droplet digital PCR assay for quantification of <i>Alternaria</i> spp. and <i>Botrytis cinerea</i> on sweet cherry at different growth stages" @default.
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• W3153158864 doi "https://doi.org/10.1080/07060661.2021.1913646" @default.
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