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TraitCapture: genomic and environment modelling of plant phenomic data

TB. Brown, R. Cheng, XR. Sirault, T. Rungrat, KD. Murray, M. Trtilek, RT. Furbank, M. Badger, BJ. Pogson, JO. Borevitz,

. 2014 ; 18 (-) : 73-9.

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc15023531

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.

Citace poskytuje Crossref.org

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$a Rungrat, Tepsuda $u Division of Plant Sciences, Research School of Biology, Australian National University, Australia.
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$a Trtilek, Martin $u Division of Plant Sciences, Research School of Biology, Australian National University, Australia; High Resolution Plant Phenomics Centre, Plant Industry, CSIRO, Australia; Photon Systems Instruments, Czech Republic; ARC Centre of Excellence in Plant Energy Biology, Australia.
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$a Furbank, Robert T $u High Resolution Plant Phenomics Centre, Plant Industry, CSIRO, Australia.
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$a Borevitz, Justin O $u Division of Plant Sciences, Research School of Biology, Australian National University, Australia. Electronic address: justin.borevitz@anu.edu.au.
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