Abstract
Food security requires the development and deployment of crop varieties resilient to climate variation and change. The study of variations in the genome of wild plant populations can be used to guide crop improvement. Genome variation found in wild crop relatives may be directly relevant to the breeding of environmentally adapted and climate resilient crops. Analysis of the genomes of populations growing in contrasting environments will reveal the genes subject to natural selection in adaptation to climate variations. Whole genome sequencing of these populations should define the numbers and types of genes associated with climate adaptation. This strategy is facilitated by recent advances in sequencing technologies. Wild relatives of rice and barley have been used to assess these approaches. This strategy is most easily applied to species for which a high quality reference genome sequence is available and where populations of wild relatives can be found growing in diverse environments or across environmental gradients.
Highlights
Food security requires the development and deployment of crop varieties resilient to climate variation and change.The study of variations in the genome of wild plant populations can be used to guide crop improvement
This makes the development of crop genotypes with resilience to climate change an important strategy for food security
Innovations in crop improvement based upon application of advanced genomics tools may be a way to address this need
Summary
Food security requires the development and deployment of crop varieties resilient to climate variation and change.The study of variations in the genome of wild plant populations can be used to guide crop improvement. An evolutionary perspective may assist in the effective application of the power of genomic tools to the development of climate resilient crops adapted to a changing environment. GENOMIC ANALYSIS OF CROP EVOLUTION AND ADAPTATION TO CLIMATE CHANGE Crop evolution has been relatively rapid under human selection over the last 10,000 years of agriculture.
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