SANJEEV KUMAR KOTHUR, JEEVAN CHANDRA S., BHAVANA LAXMI SIMHACHALAM AND PAVAN KUMAR PINDI
Abstract
The large-scale fermentative production of liquid bio-inoculants is a challenging task but it also mandates to achieve sustainable agricultural productivity. Large-scale production of Rhizobium bioinoculant primarily requires meticulous planning for optimization of media composition and bioprocess parameters to achieve huge biomass. In the current study, we explored the Response Surface Methodology, a statistical approach to optimize the media composition and bioprocess for newly isolated Bradyrhizobium- sp. PSK strain. Based on the first phase data, ideal parameters that would have ensure the optimal microbial growth, development and has the superior metabolic strength were pooled and simulated through a Response Surface Methodology. After performance of RSM model, it signifies that Temperature, Mannitol, K2HPO4, and MgSO4 are the highly influential parameters for the maximum biomass yield by Bradyrhizobium PSK strain. Further, statistical scrutiny and robustness analysis the current RSM analysis ends up with an optimum medium composition which would have enhanced 6.33 g/L of biomass with batch fermentation mode at laboratory scale. Based on the strengths of the current findings, the present RSM model for the newly isolated Brady rhizobium sp. PSK has proven worthy to utilize the medium components to produce huge amounts of biomass for liquid biofertilizer in a sustainable manner. The large-scale manufacturing of bioinoculants, which further influences sustainable agriculture, benefits from these kinds of investigations.