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- W3156337844 endingPage "1690" @default.
- W3156337844 startingPage "1677" @default.
- W3156337844 abstract "Safeguarding crop yields in a changing climate requires bioinformatics advances in harnessing data from vast phenomics and genomics datasets to translate research findings into climate smart crops in the field. Climate change and an additional 3 billion mouths to feed by 2050 raise serious concerns over global food security. Crop breeding and land management strategies will need to evolve to maximize the utilization of finite resources in coming years. High-throughput phenotyping and genomics technologies are providing researchers with the information required to guide and inform the breeding of climate smart crops adapted to the environment. Bioinformatics has a fundamental role to play in integrating and exploiting this fast accumulating wealth of data, through association studies to detect genomic targets underlying key adaptive climate-resilient traits. These data provide tools for breeders to tailor crops to their environment and can be introduced using advanced selection or genome editing methods. To effectively translate research into the field, genomic and phenomic information will need to be integrated into comprehensive clade-specific databases and platforms alongside accessible tools that can be used by breeders to inform the selection of climate adaptive traits. Here we discuss the role of bioinformatics in extracting, analysing, integrating and managing genomic and phenomic data to improve climate resilience in crops, including current, emerging and potential approaches, applications and bottlenecks in the research and breeding pipeline." @default.
- W3156337844 created "2021-04-26" @default.
- W3156337844 creator A5009368527 @default.
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- W3156337844 creator A5022555239 @default.
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- W3156337844 creator A5086358262 @default.
- W3156337844 date "2021-04-14" @default.
- W3156337844 modified "2023-10-14" @default.
- W3156337844 title "Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics" @default.
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