In this investigation, nine maize genotypes were used to check the genetic relationship using 20 PCR based markers (SSR). These markers produced 55 polymorphic bands with an average of 2.75 bands per primer. Maximum genetic similarity (i.e., 0.733) was found based on Jaccard’s coefficient of similarity. A dendrogram was constructed using unweight pair group mean arithmetic (UPGMA) method which clustered into two main groups based on their genetic diversity which was further confirmed by the principal component analysis. These findings clearly depicted that SSR markers could help in successful detection of genetic relationship in maize and further assist in improvement of maize productivity.
, Shuang Yang, Xue Li, Yan-Bin Liu, Sun Jia-Xing. (2017) Genetic Relationship among Maize Genotypes as Revealed by SSR Markers, , Proc. of the PAS: B; 54, Issue 4.
