Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis

PloS One
Pierre CasadebaigKarine Chenu

Abstract

A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of numerical methods for model exploration assist in evaluating the major most influential inputs, providing the simulation model is a credible description of the biological system. A sensitivity analysis was used to assess the simulated impact on yield of a suite of traits involved in major processes of crop growth and development, and to evaluate how the simulated value of such traits varies across environments and in relation to other traits (which can be interpreted as a virtual change in genetic background). The study focused on wheat in Australia, with an emphasis on adaptation to low rainfall conditions. A large set of traits (90) was evaluated in a wide target population of environments (4 sites × 125 years), management practices (3 sowing dates × 3 nitrogen fertilization levels) and CO2 (2 levels). The Morris sensitivity analysis method was used to sample the parameter space and reduce computational requirements, while maintaining a realistic representation of the targeted trait × environment × management landscape (∼ 82 million individual simulatio...Continue Reading

References

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Citations

Jul 23, 2016·Journal of Experimental Botany·John T ChristopherKarine Chenu
Apr 9, 2017·Trends in Plant Science·Karine ChenuSenthold Asseng
Mar 9, 2017·Global Change Biology·Livia PaleariRoberto Confalonieri
Jun 20, 2017·Plant, Cell & Environment·Victor PichenyEvelyne Costes
Dec 1, 2017·Journal of Experimental Botany·James WatsonKarine Chenu
Dec 13, 2019·Frontiers in Plant Science·Daniela Bustos-KortsFred A van Eeuwijk
Dec 24, 2019·Frontiers in Plant Science·Daniela Bustos-KortsFred A van Eeuwijk
Feb 1, 2019·Frontiers in Plant Science·Florie GosseauNicolas Langlade
Dec 5, 2019·Scientific Reports·Livia PaleariRoberto Confalonieri
Mar 13, 2021·Plant Physiology·Shouyang LiuPierre Martre
Dec 8, 2021·The Science of the Total Environment·Haoliang YanMeixue Zhou

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Methods Mentioned

BETA
environmental stress

Software Mentioned

R
Emerald
wheat
APSIM
ASPIM
ggplot2
sensitivity
sens
- Wheat
dplyr

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