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Study of correlation and path analysis for yield and yield attributing traits in mungbean [<em>Vigna radiata </em>(L.) Wilczek]

International Journal of Chemical Studies · 2020 · Vol. 8(1) · pp. 2140–2143
Sarfraz AhmadVikas Belwal

Abstract

The present study on association of various plant, pod and seed characters with seed yield was carried out using 112 diverse genotypes of mungbean, along with five high yielding checks. The field experiment was laid out in Augmented Block Design at N. E. Borlaug Crop Research Centre of G.B. Pant University of Agriculture and Technology, Pantnagar, India. Observations were recorded on fifteen morphological characters of plant, pod and seed. The genotype differed significantly for all the characters studied. Correlation analysis indicated that seed yield showed positive significant correlation with number of pod per plant, pod diameter, pod length, 100-seed weight, number of cluster, number of leaves, seed diameter, plant height, seed length, pod wall thickness, number of branches and seed density. Path analysis revealed that number of pod per plant and 100-seed weight exerted a high magnitude of positive direct effect, pod length showed moderate effect while number of cluster and seed density exerted positive but low magnitude of direct effect on seed yield. Selection strategy based on these characters having high direct effect coupled with positive correlation with seed yield will be rewarding in mungbean improvement programme.

Agricultural pest management studiesGenetics and Plant BreedingGenetic and Environmental Crop StudiesPoint of deliveryVignaPath analysis (statistics)RadiataYield (engineering)HorticultureCropBiologyRandomized block designNon-invasive ventilation

Funding

  • Govind Ballabh Pant University of Agriculture and Technology
Citations
5
FWCI
0.70
field-weighted impact
References
10
Percentile
78%
vs. same field & year
Citations per year
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Study of correlation and path analysis for yield and yield attributing traits in mungbean [<em>Vigna radiata </em>(L.) Wilczek] · Scinovex