An investigation was carried out to study genetic studies in amaranthus germplasm of 10 germplasm of amaranthus at Horticulture Instructional cum Research Farm of Department of Horticulture, Indira Gandhi Krishi Vishwavidyalaya, Raipur (CG) during the period from Octuber, 2014 to February, 2015. The experiment was laid out in the Randomized Complete Block Design with four replications. The data were analyzed to work out the variability, correlation coefficient and path analysis for character viz., number of leaves per plant, leaf length (cm), leaf width (cm), plant height (cm), stem girth (cm), stem weight (gm), leaf weight (gm), stem weight (gm), petiole length (cm), panicle length (cm), plant weight (gm), number of cutting, leaf yield (kg/plot), seed yield (gm/plant), 1000 seed weight (gm) and crop duration (sowing to last harvest). The analysis of variance indicated that the mean sum of square due to genotypes were highly significant for all the sixteen characters. Significant mean sum of squares due to leaf yield and attributing characters revealed existence of considerable variability in material studied for improvement of various traits. The highest leaf yield kg per plot was recorded in genotype 2012/AMVAR-4 followed by 2012/AMVAR-7 (17.41 kg/plot), CG Amaranthus-1 (17.36 kg/plot). Moderate estimates of phenotypic and genotypic coefficient of variation for almost all traits except leaf weight show the high genotypic and phenotypic variation indicated that there was high variability offering ample scope for selection of desired variability. Heritability along with genetic advance as percent of mean for all the tested characters indicated that these characters were under additive gene action and there were excellent chances of effective selection for improvement of these traits. Highly significant and positive correlation with leaf yield was observed with plant height, plant weight, stem girth and seed yield, whereas leaf length and petiole length showed negative association with green yield. Path coefficient analysis revealed that stem weight, 1000 seed weight, number of leaves, intermodal length and panicle length were the most important yield components. Selection programme based on these characters is suggested for further improvement.

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