Browsing by Author "Jaiswal D.K."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Impact of Plant Growth-Promoting Microorganism (PGPM) Consortium on Biochemical Properties and Yields of Tomato Under Drought Stress(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Krishna R.; Ansari W.A.; Altaf M.; Jaiswal D.K.; Pandey S.; Singh A.K.; Kumar S.; Verma J.P.Drought is the most important abiotic stress that restricts the genetically predetermined yield potential of the crops. In the present study, four tomato varieties: Kashi Vishesh, Kashi Aman, Kashi Abhiman, and Kashi Amrit, were used to study the effect of PGPMs (plant growth-promoting microorganisms). PGPM strains, Bacillus megaterium BHUPSB14, Pseudomonas fluorescens BHUPSB06, Pseudomonas aeruginosa BHUPSB01, Pseudomonas putida BHUPSB0, Paenibacillus polymixa BHUPSB17, and Trichoderma horzianum, were used as the consortium. The control group was irrigated up to 80% of field capacity, while 7-, 14-, and 21-day water-deficit-exposed (DWD) plants� pot soil moisture was maintained to 40, 25, and 15% of the field capacity, both with and without the PGPM inoculation condition. The physiological parameters, such as electrolyte leakage, relative water content, photosynthetic efficiency, and chlorophyll color index, were significantly improved by PGPM application under progressive drought stress, compared to the control. PGPM application enhanced the proline accumulation and reduced the formation of hydrogen peroxide and lipid peroxidation under drought stress. The plant growth attributes were significantly increased by PGPM application. The Kashi Amrit variety showed the highest fruit yield among the four varieties under all the treatments. The PGPM consortium application also improved the soil physico-biological properties and nutrient availability in the soil. The PGPM consortium used in this study can potentially mitigate drought stress on tomato in drought-prone regions and act as a biofertilizer. The present study will open a new avenue of drought stress management in tomato. � 2024 by the authors.Item Innovations and advances in enzymatic deconstruction of biomass and their sustainability analysis: A review(Elsevier Ltd, 2024) Singh S.; Morya R.; Jaiswal D.K.; Keerthana S.; Kim S.-H.; Manimekalai R.; Prud�ncio de Araujo Pereira A.; Verma J.P.Increasing population and continuously growing food demand has led to an overwhelming production of agro waste. Further the improper management of agro waste and stubble burning leads to harmful emissions (especially GHG emissions) into the atmosphere. The conversion of waste into biofuels is a highly lucrative option considering the utilization of waste and its use as an alternative to fossil fuel. However, it needs to tackle the obstacles in proper transportation of waste to the site of conversion or biorefineries, technical issues in the pre-treatment, high moisture content in the feedstock, compositional variations in the feedstock, enzymatic efficiency of the saccharifying enzymes, and the various other steps used in the conversion of biomass from raw material to end product. And when all these factors are optimized, the cost-effectiveness and eco-friendliness of the processes and the product have to be considered. This review sheds light upon the deconstruction of lignocellulosic biomass for conversion into biofuels in biorefineries with a major emphasis on bioethanol. This review describes the innovations and advances made to increase the cost-effectiveness and environmental friendliness of alternative fuels such as bioethanol, highlighting recent developments in pretreatment methods, enzymatic saccharification as well as their sustainability analysis. In recent past, advanced methods such as CRISPR-Cas gene editing and artificial intelligence have emerged as powerful tools for microbial modification in biofuel production. The recent advancements and achievements in the field, including the gene editing of microbial strains with enhanced biofuel production capabilities which would revolutionize the industry are highlighted. � 2023 Elsevier Ltd