Blast disease is a major production constraint in cereal crops worldwide. Genome regions associated with blast resistance in rice were used in homology-based prediction of resistance gene orthologs across cereals. Seventy-four Resistance Gene Analogs (RGAs) that were collocated with rice QTLs (Quantitative Trait Loci) associated with blast resistance, predicted 89 orthologs from cereals,including 61 from finger millet. The RGA orthologs found hits in cereal transcriptomes derived from blast-infected tissues. Over 92% of the putative RGAs encoded NBS-LRR (Nucleotide Binding Site -Leucine Rich Repeat) proteins. Despite conserved primary protein structures, NBS-LRRs were variable in the encoding genes. Primers designed on conserved NBS-LRRs motifs amplified multiple fragments in PCR indicating the presence of highly similar paralogs in genomes. Rice chromosomes 1, 2, 4, 6, and 11 dock clusters of RGAs and syntenic clusters of orthologous RGAs were predicted from other cereal genomes identifying genome hotspots for resistance gene cassettes. RGAs in such cassettes were tightly linked with 50 %–90 % within-cluster similarity. Local finger millet germplasm identified multi-modes of resistance, and lack of correlation between the resistance traits points to independent expression of resistance mechanisms and associated genes in different tissues and development stages. The significant diversity, genomic abundance, and potential functional redundancy complicate use of RGAs for resistance breeding in given host genetic backgrounds, pathogen pools and agro-climates; therefore, robust technology pipelines that enable system-level analysis of expression and effectiveness can increase the practical use of RGAs.