A portable fluorescence spectroscopy imaging system for automated root phenotyping in soil cores in the field
| Autor: | Michelle Watt, Leanne Bischof, Alec Zwart, Anton Wasson |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
0301 basic medicine Automated roots Root (linguistics) phenotyping productivity Physiology Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION spectroscopy Lighting system Plant Science Bioinformatics 01 natural sciences Plant Roots Field (computer science) GeneralLiterature_MISCELLANEOUS soil 03 medical and health sciences Root length pre-breeding Image Processing Computer-Assisted Human operator Image analysis Triticum Remote sensing Botany imaging crops Coring Soil core ddc:580 030104 developmental biology Phenotype Spectrometry Fluorescence fluorescence 010606 plant biology & botany Research Paper |
| Zdroj: | Journal of Experimental Botany The journal of experimental botany 67(4), 1033-1043 (2016). doi:10.1093/jxb/erv570 |
| ISSN: | 1460-2431 0022-0957 |
| DOI: | 10.1093/jxb/erv570 |
| Popis: | Highlight Fluorescence imaging was built into a portable box called BlueBox, and roots in soil cores were directly and accurately quantified by automated image analysis, allowing root phenotyping in the field for pre-breeding. Root architecture traits are a target for pre-breeders. Incorporation of root architecture traits into new cultivars requires phenotyping. It is attractive to rapidly and directly phenotype root architecture in the field, avoiding laboratory studies that may not translate to the field. A combination of soil coring with a hydraulic push press and manual core-break counting can directly phenotype root architecture traits of depth and distribution in the field through to grain development, but large teams of people are required and labour costs are high with this method. We developed a portable fluorescence imaging system (BlueBox) to automate root counting in soil cores with image analysis software directly in the field. The lighting system was optimized to produce high-contrast images of roots emerging from soil cores. The correlation of the measurements with the root length density of the soil cores exceeded the correlation achieved by human operator measurements (R 2=0.68 versus 0.57, respectively). A BlueBox-equipped team processed 4.3 cores/hour/person, compared with 3.7 cores/hour/person for the manual method. The portable, automated in-field root architecture phenotyping system was 16% more labour efficient, 19% more accurate, and 12% cheaper than manual conventional coring, and presents an opportunity to directly phenotype root architecture in the field as part of pre-breeding programs. The platform has wide possibilities to capture more information about root health and other root traits in the field. |
| Databáze: | OpenAIRE |
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