Acta Scientific Microbiology (ISSN: 2581-3226)

Research Article Volume 5 Issue 5

Statistical Analysis of the Effect of Bacterial Consortia in Soybean Production

Arup Kumar Mitra1, Meenakshi Mukhopadhyay2*, Sampurna Mondal3, Pallab Ghosh1, Sohini Chattopadhyay1, Ritushree Ganguly1, Pritam Kanjilal1, Sharanya Kundu1, Bedaprana Roy1, Debapriya Maitra1 and Sucharita Roy1

1Department of Microbiology, St. Xavier’s College (Autonomous) Kolkata (Affiliated to Calcutta University), India

2Department of Botany, Vivekananda College, Calcutta University, Kolkata, India

3Department of Mathematics, St. Xavier’s College (Autonomous) Kolkata (Affiliated to Calcutta University), India

*Corresponding Author: Meenakshi Mukhopadhyay, Department of Botany, Vivekananda College, Calcutta University, Kolkata, India.

Received: March 03, 2022; Published: April 07, 2022


Soybean (Glycine max) is known as one of the most important legume plants, making a huge commercial contribution to vegetable oil production, meat production, even human nutrition. For marginalized farmers whose livelihood is dependent on soy, organic farming can be a great solution to improve its production. The use of organic farming essentially replaces the use of chemical fertilizers/pesticides and promotes the growth of Plant Growth Promoting Rhizobacteria (PGPR) which are eco-friendly and beneficial for plants in many ways. Different strains of bacteria M3, M7, M1 of Bacillus sp. can act as potential PGPRs. As part of the experiment, soil was collected and characterized by biochemical analysis in order to get an idea of how to improve soil quality. The CFU count of the soil was determined through serial dilutions and standard plate count technique followed by proper incubation. Two types of soil were considered: Garden soil (only) as normal control and garden soil plus vermicompost as the positive control. The treatments/inoculum included solid media, LB Broth, and water suspension which were applied separately. The pots were then prepared accordingly as positive and normal control setups and three different treatments had been applied. The growth was closely monitored for several weeks. The changes in the morphological and reproductive parameters for different treatments were quantified by Causal Impact Analysis for vegetative characteristics. For Reproductive Characteristics, ANOVA and LSD are performed. The results of this study indicated that LB treatments in normal, as well as, in the positive control, showed an overall better growth than the rest. Based on the above-mentioned tests, it is evident that the overall performance was best in the consortia when applied to LB broth. Additionally, the correlation coefficient shows that the vegetative and reproductive characteristics are highly correlated.

Keywords: Inoculum; Normal Control; Positive Control; Consortia; Strain; Vermicompost; Serial Dilution


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Citation: Meenakshi Mukhopadhyay., et al. “Statistical Analysis of the Effect of Bacterial Consortia in Soybean Production". Acta Scientific Microbiology 5.5 (2022): 31-43.


Copyright: © 2022 Meenakshi Mukhopadhyay., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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