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Curr Opin Plant Biol. 2014 Apr;18:73-9. doi: 10.1016/j.pbi.2014.02.002. Epub 2014 Mar 16.

TraitCapture: genomic and environment modelling of plant phenomic data.

Author information

1
Division of Plant Sciences, Research School of Biology, Australian National University, Australia.
2
High Resolution Plant Phenomics Centre, Plant Industry, CSIRO, Australia.
3
Division of Plant Sciences, Research School of Biology, Australian National University, Australia; High Resolution Plant Phenomics Centre, Plant Industry, CSIRO, Australia; Photon Systems Instruments, Czech Republic; ARC Centre of Excellence in Plant Energy Biology, Australia.
4
Division of Plant Sciences, Research School of Biology, Australian National University, Australia; ARC Centre of Excellence in Plant Energy Biology, Australia.
5
Division of Plant Sciences, Research School of Biology, Australian National University, Australia. Electronic address: justin.borevitz@anu.edu.au.

Abstract

Agriculture requires a second green revolution to provide increased food, fodder, fiber, fuel and soil fertility for a growing population while being more resilient to extreme weather on finite land, water, and nutrient resources. Advances in phenomics, genomics and environmental control/sensing can now be used to directly select yield and resilience traits from large collections of germplasm if software can integrate among the technologies. Traits could be Captured throughout development and across environments from multi-dimensional phenotypes, by applying Genome Wide Association Studies (GWAS) to identify causal genes and background variation and functional structural plant models (FSPMs) to predict plant growth and reproduction in target environments. TraitCapture should be applicable to both controlled and field environments and would allow breeders to simulate regional variety trials to pre-select for increased productivity under challenging environments.

PMID:
24646691
DOI:
10.1016/j.pbi.2014.02.002
[Indexed for MEDLINE]
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