Genome editing in maize, rice and soybean or estimating genomic-estimated breeding values of genebank accessions in maize, pea, sorghum, and wheat provide means to access and generate additional variability for agronomic and stress tolerance traits. Phenomics and genomics are enabling generation of vast data sets in crop breeding. However, archival and easy retrieval of these data set is a challenge. Crop-specific databases along with bioinformatics services provide access to genomes and the corresponding annotation data, together with data on phenotypes and genotypes for many crops.
An integrated analysis of genotype and phenotype information contained in databases facilitates the discovery of genes related to specific target functions. Such insights on crop biodiversity and trait inheritance along with mapping of genetic variation controlling key traits, and using them for developing breeding germplasm will accelerate crop improvement, increase genetic gains and allowing improved crop yields and yield stability under a changing climate and in stress-prone environments.
All authors participated in outlining the manuscript contents, searching the literature, writing and editing the text. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. CS acknowledges funding support from Science Foundation Ireland, and the Irish Department of Food, Agriculture and the Marine, while grants provided during the writing of this manuscript from PlantePigment and Annato —projects led by Chr.
The sketch used for drawing Figure 1 was kindly shared by Dr. We are grateful to the three reviewers for helpful suggestions on improving the manuscript.
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