Citation: A. Kuczyńska (2020-05-26): Phenotypic image data of spring barley (Hordeum vulgare L.) RIL population under drought. DOI:10.5447/ipk/2020/14

Abstract: The aim of the study was to use high-throughput imaging in order to assess the variation and dynamics of growth and development during drought in a spring barley population and to investigate associations between traits measured in time and yield-related traits measured after harvesting. Plant material covered recombinant inbred line population derived from a cross between European and Syrian cultivars. After placing the plants on the platform (28th day after sowing), drought stress was applied for two weeks. Top and side cameras were used to capture images daily that covered the visible range of the light spectrum, fluorescence signals, and the near infrared spectrum. The image processing provided 376 traits that were subjected to analysis. After 32 days of image phenotyping, the plants were cultivated in the greenhouse under optimal watering conditions until ripening, when several architecture and yield-related traits were measured.

License: CC BY 4.0 (Creative Commons Attribution)

DOI: 10.5447/ipk/2020/14

Content: 12989 Directories 190506 Files (6.8 GB)

Metadata
CONTRIBUTOR:
Paweł Krajewski [Show full information]
CREATOR:
Anetta Kuczyńska [Show full information]
PUBLISHER: e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
SIZE: 502.8 KB
SUBJECT: automated high-throughput plant phenotyping, barley, drought stress
COVERAGE: none
DATE: Event: event
CREATED: TimePoint: Wed May 27 02:46:46 CEST 2020
UPDATED: TimePoint: Wed May 27 02:46:46 CEST 2020
LANGUAGE: en
RELATION: none
SOURCE: none
Revision: 0 - CreationDate: Wed May 27 02:46:46 CEST 2020 - RevisionDate: Wed May 27 02:46:46 CEST 2020