Legume Research

  • Chief EditorJ. S. Sandhu

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Legume Research, volume 45 issue 12 (december 2022) : 1587-1592

​Effect of Liquid Rhizobium with Organic Bio-stimulants on Growth, Yield Attributes and Yield of Leguminous Blackgram [Vigna mungo (L.) Hepper]

R. Ajaykumar, K. Harishankar, K. Sivasabari, P. Rajeshkumar, T. Saranraj, J. Aravind, S. Kumaresan
1Vanavarayar Institute of Agriculture, Pollachi-642 103, Tamil Nadu, India.
  • Submitted04-07-2022|

  • Accepted26-08-2022|

  • First Online 20-09-2022|

  • doi 10.18805/LR-4999

Cite article:- Ajaykumar R., Harishankar K., Sivasabari K., Rajeshkumar P., Saranraj T., Aravind J., Kumaresan S. (2022). ​Effect of Liquid Rhizobium with Organic Bio-stimulants on Growth, Yield Attributes and Yield of Leguminous Blackgram [Vigna mungo (L.) Hepper]. Legume Research. 45(12): 1587-1592. doi: 10.18805/LR-4999.
Background: Blackgram [Vigna mungo (L.) Hepper] is one of the most important cultivated legume crops with high nutritive value and agricultural importance. The productivity of blackgram is not adequate to meet the domestic demand of the growing Indian population. Consequently, there is an urgent need for enhancement of productivity through proper agronomic practices. With this background, a research was conducted to investigate the effect of liquid rhizobium with organic bio-stimulants on growth, yield attributes, yield and economics of irrigated blackgram. 
Methods: A field experiment was laid out in randomized block design with three replications during 2021 (Kharif and Rabi) season. The treatments include 100% RDF foliar application of Dasagavya, liquid rhizobium, fish amino acid, panchagavya, pink pigmented facultative methylotrophs (PPFM) and sea weed extract with different concentration (1% and 3%, respectively) in addition to control. 
Result: The experiment results revealed that the application of 100% RDF + liquid rhizobium @ 1% recorded higher growth characters viz., plant height (cm), number of branches plant-1, dry matter production (kg ha-1), leaf area index, yield attributes, grain and haulm yield (kg ha-1). Correlation and regression analysis also indicated that the yield attributes had a positive impact on the grain yield. 

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