PATTERN OF VARIATIONS AMONGST SWEET CORN GENOTYPES GROWN UNDER ORGANIC ENVIRONMENT
Status: PostprintCurrently, organic sweet corn growers depend on varieties bred for intensive farming systems. The present study was addressed to elucidate the pattern of variations among 20 sweet corn genotypes under organic farming system and to classify them into distinct groups on the basis of their agro-morphological characteristics. Data were collected from two growing seasons for growth and yield characteristic and subjected to univariate and multivariate analyses. Combined analysis of variance across two seasons revealed that tasseling date, harvesting date, kernel row number, and marketable yield exhibited significant season x genotype interaction effect, while the rest of the observed characters showed significant both season and genotype effects. Principal component analysis showed that first season data had first three principal components with Eigen values > 1 accounted 82% of the total variation, while second season data had first two principal components with Eigen values > 1 accounted for 79%. In both seasons, ear length, ear diameter, ear weight, and marketable yield were the most important characters in first principal component. Based on cluster analysis, the genotypes could be classified into 5 clusters for both seasons. These results can be used by the growers in deciding the most suitable sweet corn variety for organic production.