Abstract
Bacterial soft rot is a devastating disease in potato. However, it is difficult to evaluate disease resistance because there are a number of ways the bacterium can infect tubers, including through lenticels, in bruised tissue, and through wounds. Thus, various screening methods have been developed to evaluate resistance in potato tubers. The methods published to date are limited in their ability to measure symptoms quickly and accurately in a large number of samples. Therefore, we developed a new high throughput phenotyping method to evaluate soft rot disease symptoms the assistance of image analysis software. This method has proven to be very efficient in evaluating disease symptoms.
Resumen
La pudrición blanda por bacterias es una enfermedad devastadora en papa. No obstante, es difícil evaluar la resistencia a la enfermedad porque hay muchas formas en que la bacteria puede infectar a los tubérculos, incluyendo a través de lenticelas, en tejido raspado o heridas. En consecuencia, se han desarrollado varios métodos de evaluación para la resistencia en tubérculos de papa. Los métodos publicados a la fecha están limitados en su capacidad para medir los síntomas rápidamente y con precisión en un número grande de muestras. Entonces, nosotros desarrollamos un método nuevo de alta eficiencia de caracterización fenotípica para evaluar los síntomas de la pudrición blanda mediante la asistencia de un programa de análisis de imágenes. Este método ha probado ser muy eficiente en la evaluación de los síntomas de la enfermedad.
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We are grateful to Sustainable Agriculture Research Institute (SARI) in Jeju National University for providing the experimental facilities.
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Lee, U., Silva, R.R., Kim, C. et al. Image Analysis for Measuring Disease Symptom to Bacterial Soft Rot in Potato. Am. J. Potato Res. 96, 303–313 (2019). https://doi.org/10.1007/s12230-019-09717-8
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DOI: https://doi.org/10.1007/s12230-019-09717-8