Models for navigating biological complexity in breeding improved crop plants

Graeme Hammer, Mark Cooper, François Tardieu, Stephen Welch, Bruce Walsh, Fred van Eeuwijk, Scott Chapman, Dean Podlich

Research output: Contribution to journalReview article

247 Scopus citations

Abstract

Progress in breeding higher-yielding crop plants would be greatly accelerated if the phenotypic consequences of making changes to the genetic makeup of an organism could be reliably predicted. Developing a predictive capacity that scales from genotype to phenotype is impeded by biological complexities associated with genetic controls, environmental effects and interactions among plant growth and development processes. Plant modelling can help navigate a path through this complexity. Here we profile modelling approaches for complex traits at gene network, organ and whole plant levels. Each provides a means to link phenotypic consequence to changes in genomic regions via stable associations with model coefficients. A unifying feature of the models is the relatively coarse level of granularity they use to capture system dynamics. Much of the fine detail is not directly required. Robust coarse-grained models might be the tool needed to integrate phenotypic and molecular approaches to plant breeding.

Original languageEnglish (US)
Pages (from-to)587-593
Number of pages7
JournalTrends in Plant Science
Volume11
Issue number12
DOIs
StatePublished - Dec 1 2006

ASJC Scopus subject areas

  • Plant Science

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    Hammer, G., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, F., Chapman, S., & Podlich, D. (2006). Models for navigating biological complexity in breeding improved crop plants. Trends in Plant Science, 11(12), 587-593. https://doi.org/10.1016/j.tplants.2006.10.006