TraitCapture: genomic and environment modelling of plant phenomic data
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
PubMed
24646691
DOI
10.1016/j.pbi.2014.02.002
PII: S1369-5266(14)00018-1
Knihovny.cz E-zdroje
- MeSH
- databáze jako téma * MeSH
- fenotyp MeSH
- genomika metody MeSH
- kvantitativní znak dědičný * MeSH
- rostliny genetika MeSH
- životní prostředí * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
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.
Division of Plant Sciences Research School of Biology Australian National University Australia
High Resolution Plant Phenomics Centre Plant Industry CSIRO Australia
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