|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3 |
|
Identification Number: |
doi:10.26165/JUELICH-DATA/BPSWGG |
|
Distributor: |
Jülich DATA |
|
Date of Distribution: |
2026-04-28 |
|
Version: |
1 |
|
Bibliographic Citation: |
Kerstin A. Nagel; Laura V. Junker-Frohn; Shivan Jia; Fabio Fiorani, 2026, "Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3", https://doi.org/10.26165/JUELICH-DATA/BPSWGG, Jülich DATA, V1 |
|
Citation |
|
|
Title: |
Root and shoot dataset of 23 parental lines of a DRR barley population and Barke as reference phenotyped using the high throughput phenotyping platform GrowScreen-Rhizo 3 |
|
Identification Number: |
doi:10.26165/JUELICH-DATA/BPSWGG |
|
Authoring Entity: |
Kerstin A. Nagel (IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH) |
|
Laura V. Junker-Frohn (IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH) |
|
|
Shivan Jia (IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH) |
|
|
Fabio Fiorani (IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH) |
|
|
Grant Number: |
031B121 |
|
Distributor: |
Jülich DATA |
|
Access Authority: |
Kerstin A. Nagel |
|
Depositor: |
Kerstin Nagel |
|
Date of Deposit: |
2026-04-16 |
|
Study Scope |
|
|
Keywords: |
Agricultural Sciences, Computer and Information Science, root phenotyping, shoot phenotyping, imaging, rhizotron, non-invasive, Hordeum vulgare |
|
Abstract: |
The dataset contains phenotypic data of 24 barley (Hordeum vulgare L.) genotypes, 23 parents of a nested association mapping population plus Barke as reference genotype. The plants were phenotyped over the course of three weeks under greenhouse conditions using the automated high throughput phenotyping platform GrowScreen-Rhizo 3. Non-invasive imaging of roots and shoots was enabled by growing the plants in soil-filled rhizotrons. Eight replicates per genotype were phenotyped which resulted in a total number of 192 plants. The data set contains root and shoot traits derived from images and is complemented with manual measured root and shoot data. In addition, metadata and environmental data are provided. |
|
Kind of Data: |
experimental data |
|
Kind of Data: |
environmental data |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Identification Number: |
10.1016/j.plaphe.2026.100213 |
|
Bibliographic Citation: |
Laura Verena Junker-Frohn, Henning Lenz, Shiyan Jia, Alexander Putz, Jens Wilhelm, Constantin Eiteneuer, Sascha Adels, Olaf Mück, Anna Galinski, Jonas Lentz, Fabio Fiorani, Mark Müller-Linow, Kerstin A. Nagel, GrowScreen-Rhizo 3 - automated large-scale high throughput greenhouse phenotyping of plant root and shoot development, Plant Phenomics, 2026, 100213, ISSN 2643-6515, https://doi.org/10.1016/j.plaphe.2026.100213. |
|
Label: |
Dataset_ParentalLines_Rhizo3.xlsx |
|
Text: |
The files includes the phenotypic data, environmental data and metadata. |
|
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |