Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
| العنوان: | Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light |
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| المؤلفون: | Tomoko M. Matsunaga, Fumio Taguchi-Shiobara, Sachihiro Matsunaga, Daisuke Ogawa, Yoshiki Habu, Masao Ishimoto |
| المصدر: | Breeding Science |
| بيانات النشر: | Japanese Society of Breeding, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | 0106 biological sciences, 0301 basic medicine, Plant growth, Plant Science, Image processing software, Biology, Plant disease resistance, 01 natural sciences, Digital image data, plant leaf color, 03 medical and health sciences, image analysis, Statistical analyses, Genetics, fungi, food and beverages, disease symptom, field and greenhouse, Note, Light intensity, 030104 developmental biology, Agronomy, Objective evaluation, Biological system, Agronomy and Crop Science, 010606 plant biology & botany, Field conditions |
| الوصف: | Leaf color is an important indicator when evaluating plant growth and responses to biotic/abiotic stress. Acquisition of images by digital cameras allows analysis and long-term storage of the acquired images. However, under field conditions, where light intensity can fluctuate and other factors (shade, reflection, and background, etc.) vary, stable and reproducible measurement and quantification of leaf color are hard to achieve. Digital scanners provide fixed conditions for obtaining image data, allowing stable and reliable comparison among samples, but require detached plant materials to capture images, and the destructive processes involved often induce deformation of plant materials (curled leaves and faded colors, etc.). In this study, by using a lightweight digital scanner connected to a mobile computer, we obtained digital image data from intact plant leaves grown in natural-light greenhouses without detaching the targets. We took images of soybean leaves infected by Xanthomonas campestris pv. glycines, and distinctively quantified two disease symptoms (brown lesions and yellow halos) using freely available image processing software. The image data were amenable to quantitative and statistical analyses, allowing precise and objective evaluation of disease resistance. |
| تدمد: | 1347-3735 1344-7610 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c1dc90b8f182dc780a6601b00771054 https://doi.org/10.1270/jsbbs.16169 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....1c1dc90b8f182dc780a6601b00771054 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13473735 13447610 |
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