Abstract

Background: An experiment was carried out to measure genetic variability for yield and yield related traits in pea (Pisum sativum L.) genotypes in the Instruction cum Research Farm of Horticulture section Rajarshi chhatrapati Shahu maharaj College of Agriculture Kolhapur(Maharashtra) during winter season in the year 2018. Methods: To identify genotypes for further breeding these genotypes were evaluated in RBD design with two replications. All genotypes were grown 15 m long ridges with plant to plant distance maintained at 30 cm. To reduce experimental error, cultural practices were performed uniformly for all genotypes. Data was collected from five randomly sampled plants from each genotype and each replication. Highly significant differences were observed among the genotypes in plant height, length of pod, width of pod, number of grains per pod, shelling percentage, moisture content, tenderness, pod yield per plant.among genotypes in growth characters Result: plant height at 15 and 30 days after sowing and upto maturity PARL-4 genotype was the best. In observation days at 50 % flowering ,colour character of the PB-29 genotypes was recorded significantly taken minimum days. In observation average number of branches overall PARL-4 genotypes was significantly highest number of branches. In weight of dry matter the genotypes IC-80-45 max.wt of dry matter.The estimates of heritability highest was found in width of pod(94.33%) number of pods per plant(93.46%), number of grains per pod (89.69%) pod yield per plants (83.51%),length of pod(80.56%) shelling percentage (77.04%) and days to 50% flowering (64.66%) heritability were moderate for tenderness (47.52%), moisture content (47.13%) and plant height at maturity (33.46%)The highest estimate of genetic advance as percent of mean was recorded for pod yield per plant (94.69%), average number of branches per plant (42.05%), number of pods per plant (41.06%), number of grains per pod (30.04%) and tenderness (25.91%). Among tested genotypes PARL-4, PB-29, IC-80-45 performed better for future generation.

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