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Integrated Application Of Plant Growth Promoting Rhizobacteria And Biochar Improves Salt Tolerance In Eggplant Seedlings, Razi̇ye Kul Jan 2022

Integrated Application Of Plant Growth Promoting Rhizobacteria And Biochar Improves Salt Tolerance In Eggplant Seedlings, Razi̇ye Kul

Turkish Journal of Agriculture and Forestry

A pot study was conducted to determine the effects of the combination of plant growth promoting rhizobacteria (PGPR) and biochar on the growth, physiological, and biochemical characteristics of eggplant seedlings under salinity stress. The greenhouse experiment included two salinity levels of NaCl [S0 (0 mM NaCl) and S1 (100 mM NaCl)], three biochar levels [B0 (non-biochar), B1 (5%) and B2 (10%)] and two PGPR [R0 (non-PGPR), R1 (combination of Bacillus megaterium TV-6D, Paenibacillus polymyxa KIN- 37, and Pantoea agglomerans RK92). Results showed that plant growth, relative leaf water content (LRWC), and chlorophyll content of eggplant seedlings decreased significantly, while malondialdehyde …


A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun Jan 2020

A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun

Research outputs 2014 to 2021

This paper reviews the current technological development of bio-hydrogen (BioH2) generation, focusing on using lignocellulosic feedstock via dark fermentation (DF). Using the collected reference reports as the training data set, supervised machine learning via the constructed artificial neuron networks (ANNs) imbedded with feed backward propagation and one cross-out validation approach was deployed to establish correlations between the carbon sources (glucose and xylose) together with the inhibitors (acetate and other inhibitors, such as furfural and aromatic compounds), hydrogen yield (HY), and hydrogen evolution rate (HER) from reported works. Through the statistical analysis, the concentrations variations of glucose (F-value = …