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Computer Vision for High-Throughput Quantitative Phenotyping: A Case Study of Grapevine Downy Mildew Sporulation and Leaf Trichomes.
Divilov, Konstantin; Wiesner-Hanks, Tyr; Barba, Paola; Cadle-Davidson, Lance; Reisch, Bruce I.
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  • Divilov K; First, second, and third authors: Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY; fourth author: United States Department of Agriculture-Agricultural Research Service Grape Genetics Research Unit, Geneva, NY; and fifth author: Horticulture Se
  • Wiesner-Hanks T; First, second, and third authors: Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY; fourth author: United States Department of Agriculture-Agricultural Research Service Grape Genetics Research Unit, Geneva, NY; and fifth author: Horticulture Se
  • Barba P; First, second, and third authors: Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY; fourth author: United States Department of Agriculture-Agricultural Research Service Grape Genetics Research Unit, Geneva, NY; and fifth author: Horticulture Se
  • Cadle-Davidson L; First, second, and third authors: Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY; fourth author: United States Department of Agriculture-Agricultural Research Service Grape Genetics Research Unit, Geneva, NY; and fifth author: Horticulture Se
  • Reisch BI; First, second, and third authors: Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY; fourth author: United States Department of Agriculture-Agricultural Research Service Grape Genetics Research Unit, Geneva, NY; and fifth author: Horticulture Se
Phytopathology ; 107(12): 1549-1555, 2017 12.
Article en En | MEDLINE | ID: mdl-28745103
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Vitis / Peronospora Tipo de estudio: Guideline Idioma: En Revista: Phytopathology Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Vitis / Peronospora Tipo de estudio: Guideline Idioma: En Revista: Phytopathology Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos