02427naa a2200337 a 450000100080000000500110000800800410001902400280006010000170008824501250010526000090023052014200023965000210165965000350168065000100171565000250172570000220175070000220177270000270179470000210182170000240184270000230186670000250188970000200191470000230193470000240195770000230198170000240200470000190202877300420204721171642020-08-23       2020    bl uuuu     u00u1 u    #d7 a10.1002/csc2.200182DOI1 aSILVA, K. J.  aHigh-density SNP-based genetic diversity and heterotic patterns of tropical maize breeding lines.h[electronic resource]  c2020  aUnderstanding the crop diversity is critical for a successful breeding program, helping to dissect the genetic relationship among lines and to identify superior parents. This study aimed to investigate the genetic diversity of maize inbred lines, and to verify the relationship between genetic diversity and heterotic patterns based on hybrid yield performance. A total of 1,041 maize inbred lines were genotyped-by-sequencing, generating 32,840 quality-filtered SNPs. Diversity analyses were performed using the Neighbor-Joining clustering method, which generated diversity groups. The clustering of lines based on the diversity groups was compared to the pre-defined heterotic groups using the additive genomic relationship matrix and UPGMA. Additionally, the genetic diversity of lines was correlated with yield performance of their corresponding 591 single-cross hybrids. The SNP-based genetic diversity analysis was efficient and reliable to assign lines within pre-defined heterotic groups. However, solely these genetic distances among inbred lines were not good predictors of the hybrid performance, once a low but significant Pearson?s correlation (0.22, p-value ? 0.01) was obtained between parental genetic distances and hybrids performance. Thus, SNP-based genetic distances provided important insights for effective parental selection, avoiding crossed between genetically similar tropical maize lines.  aCluster analysis  aMelhoramento Genético Vegetal  aMilho  aVariação Genética1 aGUIMARÃES, C. T.1 aGUILHEN, J. H. S.1 aGUIMARAES, P. E. de O.1 aPARENTONI, S. N.1 aTRINDADE, R. dos S.1 aOLIVEIRA, A. A. de1 aBERNARDINO, K. da C.1 aPINTO, M. de O.1 aDIAS, K. O. das G.1 aBERNARDES, C. de O.1 aDIAS, L. A. dos S.1 aGUIMARAES, L. J. M.1 aPASTINA, M. M.  tCrop Sciencegv. 60, p. 779-787, 2020