Exploitation of exotic germplasm through multivariate analysis for genetic improvement of fodder yield related traits in oat
Keywords:
Box plot, Cluster analysis, Exotic germplasm, Oat, Principal component analysisAbstract
A set of exotic germplasm accessions of oat (Avena sativa L.) was investigated for principal componentanalysis, cluster analysis, and box plot analysis during the two Rabi seasons. Analysis of variance for all traitsunder study showed sufficient amount of genetic variability, which revealed that all genotypes significantlydifferent from each other. Three principal component analyses had Eigen values more than one and explainedabout 65.77% of the total variation. The first principal component explained about 35.56% of total variationfollowed by second (18.01%) and third (12.20%) principal components. Clustering analysis based on variousmorphological traits assorted 28 genotypes into five clusters. Cluster I had the highest number of genotypes(23) followed by cluster III which consists of two genotypes. The clusters II, IV and V contained only singlegenotype each. Data frequency distribution using box plot analysis for green fodder yield and its attributingtraits revealed that huge amount of variation was present in exotic germplasm accessions under study. Furthertesting of these exotic germplasm accessions for fodder traits will be very useful in future breedingprogrammes to enhance fodder yield in oat.