Campus Units

Agronomy, Electrical and Computer Engineering, Mechanical Engineering, Plant Sciences Institute

Document Type

Article

Publication Version

Published Version

Publication Date

2019

Journal or Book Title

Food and Energy Security

First Page

e167

DOI

10.1002/fes3.167

Abstract

Given the changing climate and increasing impact of agriculture on global resources, it is important to identify phenotypes which are global and sustainable optima. Here, an in silico framework is constructed by coupling evolutionary optimization with thermodynamically sound crop physiology, and its ability to rationally design phenotypes with maximum productivity is demonstrated, within well‐defined limits on water availability. Results reveal that in mesic environments, such as the North American Midwest, and semi‐arid environments, such as Colorado, phenotypes optimized for maximum productivity and survival under drought are similar to those with maximum productivity under irrigated conditions. In hot and dry environments like California, phenotypes adapted to drought produce 40% lower yields when irrigated compared to those optimized for irrigation. In all three representative environments, the trade‐off between productivity under drought versus that under irrigation was shallow, justifying a successful strategy of breeding crops combining best productivity under irrigation and close to best productivity under drought.

Comments

This article is published as Jubery, Talukder Z., Baskar Ganapathysubramanian, Matthew E. Gilbert, and Daniel Attinger. "In silico design of crop ideotypes under a wide range of water availability." Food and Energy Security (2019): e167. DOI: 10.1002/fes3.167. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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