Correlation and Path Coefficient Analysis for Yield and Yield Attributing Traits in Blackgram (Vigna mungo. (L) Hepper)
M. Priyanka *
Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University, Agricultural College, Rajendranagar, Hyderabad, Telangana, India.
K. Rukmini Devi
Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University, Agricultural Research Station, Madhira, Telangana, India.
K. Parimala
Department of Genetics and Plant Breeding, Professor Jayashankar Telangana State Agricultural University, Seed Research and Technology Center, Rajendranagar, Hyderabad, Telangana, India.
Ch. Anuradha
Department of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Agricultural College, Rajendranagar, Hyderabad, Telangana, India.
*Author to whom correspondence should be addressed.
Abstract
The present research work was conducted at Agricultural Research Station (ARS), Madhira during Rabi 2022 to assess the correlation and path coefficient analysis among yield contributing traits in 35 blackgram genotypes. Correlation analysis has revealed that Plant height, number of seeds pod-1, 100 seed weight, harvest index and biological yield was positively correlated with seed yield per plant. The path coefficient analysis recorded that, days to 50 percent flowering, plant height, number of clusters per plant, number of seeds per pod, 100 seed weight, biological yield and harvest index had direct positive effect on yield. Blackgram seed yield can be significantly improved with the selection of plants with more number of seeds per pod, 100 seed weight, biological yield and harvest index in the segregating generations as these traits were positively associated with the seed yield per plant.
Keywords: Correlation, path coefficient analysis, blackgram