Exploration of Phenotypic Dissimilarity for Drought Tolerance in Maize Inbred Line Collection

Cluster analysis is a type of exploratory that used for classifying unknown individuals into groups members share certain similarity. Grouping breeding materials different clusters based on their performances under given condition allows plant breeders to select lines more efficiently. This study aimed group performance water stress conditions using cluster analysis. The experiment was conducted in RCB design with 3 blocks. Fifty maize inbred were grown and exposed conditions. Twenty-four phenotypic traits collected some them subjected Partitioning Around Medoid algorithm 50 from chosen phenotypes. validation then carried out subsequent by testing the statistically significant differences between tolerant susceptible clusters. According analysis, 4 numbers obtained. Lines no. showed most tolerance compared other In contrast, 1 susceptible. results another year also supported this result. Therefore, we concluded clustering method an efficient way differentiate lines. Furthermore, suggested height, tassel size, spikelet density, days silking, anthesis-silking interval secondary could be selection drought maize.