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

Authors: Wang,Tien-Cheng; Chen, Tsu-Wei; Casadebaig, Pierre; Chenu, Karine;

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

Abstract

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).

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

Keywords

APSIM-Wheat

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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