Multi-scale modelling to synergise Plant Systems Biology and Crop Science

Yin Hoon Chew; Daniel D. Seaton; Andrew J. Millar

doi:10.1016/j.fcr.2016.02.012

Multi-scale modelling to synergise Plant Systems Biology and Crop Science

Yin Hoon Chew, Daniel D. Seaton, Andrew J. Millar

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

Original language	English
Pages (from-to)	77-83
Number of pages	7
Journal	Field Crops Research
Volume	202
DOIs	https://doi.org/10.1016/j.fcr.2016.02.012
State	Published - 15 Feb 2017
Externally published	Yes

Keywords

Breeding
Climate change
Crop modelling
In silico plant
Multiscale
Systems biology

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10.1016/j.fcr.2016.02.012

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title = "Multi-scale modelling to synergise Plant Systems Biology and Crop Science",

abstract = "At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.",

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AU - Seaton, Daniel D.

AU - Millar, Andrew J.

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N2 - At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

AB - At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

KW - Breeding

KW - Climate change

KW - Crop modelling

KW - In silico plant

KW - Multiscale

KW - Systems biology

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VL - 202

SP - 77

EP - 83

JO - Field Crops Research

JF - Field Crops Research

ER -

Multi-scale modelling to synergise Plant Systems Biology and Crop Science

Abstract

Keywords

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