Phytopathology (2017) 107, 1549-1555

From Pestinfo-Wiki
Jump to: navigation, search
People icon1.svgSelected publication
of interest to a wider audience. We would welcome
contributions to the Discussion section (above tab) of this article.
Remember to log in or register (top right corner) before editing pages.
Konstantin Divilov, Tyr Wiesner-Hanks, Paola Barba, Lance Cadle-Davidson and Bruce I. Reisch (2017)
Computer vision for high-throughput quantitative phenotyping: A case study of grapevine downy mildew sporulation and leaf trichomes
Phytopathology 107 (12), 1549-1555
Abstract: Quantitative phenotyping of downy mildew sporulation is frequently used in plant breeding and genetic studies, as well as in studies focused on pathogen biology such as chemical efficacy trials. In these scenarios, phenotyping a large number of genotypes or treatments can be advantageous but is often limited by time and cost. We present a novel computational pipeline dedicated to estimating the percent area of downy mildew sporulation from images of inoculated grapevine leaf discs in a manner that is time and cost efficient. The pipeline was tested on images from leaf disc assay experiments involving two F1 grapevine families, one that had glabrous leaves (Vitis rupestris B38 × 'Horizon' [RH]) and another that had leaf trichomes (Horizon × V. cinerea B9 [HC]). Correlations between computer vision and manual visual ratings reached 0.89 in the RH family and 0.43 in the HC family. Additionally, we were able to use the computer vision system prior to sporulation to measure the percent leaf trichome area. We estimate that an experienced rater scoring sporulation would spend at least 90% less time using the computer vision system compared with the manual visual method. This will allow more treatments to be phenotyped in order to better understand the genetic architecture of downy mildew resistance and of leaf trichome density. We anticipate that this computer vision system will find applications in other pathosystems or traits where responses can be imaged with sufficient contrast from the background.
(The abstract is excluded from the Creative Commons licence and has been copied with permission by the publisher.)
Link to article at publishers website

Research topic(s) for pests/diseases/weeds:
molecular biology - genes

Pest and/or beneficial records:

Beneficial Pest/Disease/Weed Crop/Product Country Quarant.
Plasmopara viticola Grapevine (Vitis)