Published January 23, 2023 | Version v2
Dataset Open

Data: More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop

  • 1. Humboldt Universität zu Berlin
  • 2. INRAE
  • 3. The University of Queensland

Contributors

Data curator:

  • 1. The University of Queensland

Description

APSIM-Wheat (www.apsim.info) was used to simulate a data set (for details, see Casadebaig et al., 2016) with 9100 virtual genotypes (Ngen= 9100) grown under 9000 environments (Nenv=9000). In short, virtual genotypes were created by varying the value of 90 independent physiological parameters in a range of ±20% from the reference cultivar Hartog. Environments in the dataset contain historical climate data of 125 years (1889-2013) in four locations (Emerald, Narrabri, Yanco and Merredin) in Australia, in combination with two CO2 levels (380 and 555 ppm), three nitrogen levels (low: 50%, control: 100% and high fertilization: 100% plus 50 kg‧ha-1) and three sowing dates (early, control and late).

Notes

Links to publications that cite or use the data: 1. Casadebaig et al., 2016 https://doi.org/10.1371/journal.pone.0146385 2. Wang et al., 2023 https://doi.org/10.1007/s00122-023-04264-7 Information about funding sources that supported the simulation/analysis of the data: * French National Research Agency (ANR) - Projectnumber ANR-11-BTBR-0005 ; Granted to Casadebaig * German Research Foundation (DFG) - Projectnumber 419973621 ; Granted to Chen

Files

README.md

Files (1.6 GB)

Name Size Download all
md5:731d9d9315256f06cd22db6f0e3c03e7
8.1 kB Preview Download
md5:eabee315f3ce90c3b674d81b1466b8a0
1.6 GB Download
md5:915c7e4d504c797acae30d890a441e90
85.1 kB Download

Additional details

Related works

Is derived from
Journal article: 10.1371/journal.pone.0146385 (DOI)
Is published in
Journal article: 10.1007/s00122-023-04264-7 (DOI)
Is referenced by
Software: 10.5281/zenodo.5804213 (DOI)
Is required by
Workflow: 10.5281/zenodo.7562421 (DOI)

Funding

Agence Nationale de la Recherche
SUNRISE - Ressources génétiques de tournesol pour l'amélioration de la stabilité de production d'huile sous c ANR-11-BTBR-0005