RUST: A Robust, User-Friendly Script Tool for Rapid Measurement of Rust Disease on Cereal Leaves
| العنوان: | RUST: A Robust, User-Friendly Script Tool for Rapid Measurement of Rust Disease on Cereal Leaves |
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| المؤلفون: | Francisco José Canales, Luis M. Gallego-Sánchez, Elena Prats, Gracia Montilla-Bascón |
| المساهمون: | Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission |
| المصدر: | Plants, Vol 9, Iss 1182, p 1182 (2020) Plants Volume 9 Issue 9 Digital.CSIC. Repositorio Institucional del CSIC instname |
| بيانات النشر: | MDPI AG, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0106 biological sciences, 0301 basic medicine, Infection frequency, Computer science, Plant Science, 01 natural sciences, Article, Image analysis, 03 medical and health sciences, Plant science, Software, image analysis, lcsh:Botany, Fiji, Disease severity, Ecology, Evolution, Behavior and Systematics, computer.programming_language, User Friendly, Ecology, business.industry, fungi, food and beverages, Pattern recognition, rust, Automation, Plant disease, ImageJ, lcsh:QK1-989, 030104 developmental biology, Open source, Rust, infection frequency, Color transformation, disease severity, Artificial intelligence, business, computer, 010606 plant biology & botany, Rust (programming language) |
| الوصف: | © 2020 by the authors. Recently, phenotyping has become one of the main bottlenecks in plant breeding and fundamental plant science. This is particularly true for plant disease assessment, which has to deal with time-consuming evaluations and the subjectivity of visual assessments. In this work, we have developed an open source Robust, User-friendy Script Tool (RUST) for semi-automated evaluation of leaf rust diseases. RUST runs under the free Fiji imaging software (developed from ImageJ), which is a well-recognized software among the scientific community. The script enables the evaluation of leaf rust diseases using a color transformation tool and provides three different automation modes. The script opens images sequentially and records infection frequency (pustules per area) (semi-)automatically for high-throughput analysis. Furthermore, it can manage several scanned leaf segments in the same image, consecutively selecting the desired segments. The script has been validated with nearly 900 samples from 80 oat genotypes ranging from resistant to susceptible and from very light to heavily infected leaves showing a high accuracy with a Lin’s concordance correlation coefficient of 0.99. The analysis show a high repeatability as indicated by the low variation coefficients obtained when repeating the measurement of the same samples. The script also has optional steps for calibration and training to ensure accuracy, even in low-resolution images. This script can evaluate efficiently hundreds of leaves facilitating the screening of novel sources of resistance to this important cereal disease. This research was funded by Spanish Ministry of Science and Innovation [PID2019-104518RB-I00], (AEI/FEDER, UE), regional government through the AGR-253 group, and the European Regional and Social Development Funds. LG is holder of a FPI fellowship from the Spanish Ministry of Science and Innovation [BES-2017-080152]. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2223-7747 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53d2681060ed6a62b0d09dfe312b1e71Test https://www.mdpi.com/2223-7747/9/9/1182Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....53d2681060ed6a62b0d09dfe312b1e71 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22237747 |
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