Due to its importance and wide adoption, wheat cultivation is promptly required to shift towards sustainable practices, reducing the dependency on chemical components. Among bio-based solutions aimed at securing the sustainability of wheat cultivation, biostimulants offer a versatile platform of eco-friendly tools assuring sustainability and profitability. Microalgae present a concrete example of a biostimulant source due to their richness in metabolites and high value products. Therefore, this study evaluated the biostimulant potential of eleven eco-extracts prepared from soil-isolated microalgae strains. Eco-extracts applied via soil drench at low dose (0.1 g/L) were investigated for their biostimulant effects on wheat growth, physiology, yield, and quality under controlled conditions. Results demonstrated significant ameliorations in treated plants as compared to the control, with no phytoinhibitory effects. Remarkable enhancements were notable in growth parameters such as shoot and root lengths (+40-70%), physiological traits such as total chlorophyll and stomatal conductance (+7-52%), yield components in the example of grain number per spike and thousand grain weight (+17-103%), and grain quality namely protein and polyphenol content (+2-fold to 4-fold). Similarly, phosphorus accumulation and uptake were significantly improved, while soil physicochemical status was ameliorated, indicating enhanced fertility. Multivariate analysis and composite index ranking marked Chlorella sp. GA18, Chlorella sp. GA65, Scenedesmus sp. GA69, and Chlorococcum sp. GA63 as eco-extracts with consistent performances across all plant traits. These findings highlighted the promising potential of integrating microalgae-based eco-friendly extracts in sustainable wheat cultivation.
Brown algal extracts increase crop yield by stimulating growth and enhancing resistance to environmental stress, making them a sustainable and effective biostimulant for modern agriculture. Population growth, climate change, and intensive agrochemical use pose significant challenges to environmental sustainability and...
Soil degradation is a major concern, causing a decline in crop productivity and making sustainable agricultural practices essential for humankind. Biochar and plant growth-promoting bacteria (PGPB) are currently applied as affordable and environmentally safe alternatives. Biochar, a porous, carbon-rich by-product of bi...
D. Ruchi, S. Sunita, G. Arpita et al.· Plant Science Today· 0 citations
Developing innovative green strategies regarding the integration of by-products and waste from the food industry for sustainable agriculture and a circular economy represents a current challenge of great interest. The present exploratory study evaluated four regional potential food-waste-derived biofertilizers under co...
E. Bran, Luminița-Bianca Grosu, Gabriel-Alin Iosob et al.· Sustainability· 0 citations
Abstract Pepper (Capsicum annuum L.) is one of the most important vegetable crops worldwide, with continuously increasing production due to its broad use in fresh consumption and processing. In the Republic of Serbia, pepper production has a significant role, particularly within intensive and sustainable cultivation sy...
M. Bajagić, B. Šević, Robert Radišić et al.· Proceedings of the Internati...· 0 citations
Microalgae exhibit high biodiversity and are found in various habitats, including agricultural soil. The intensification of agriculture by chemical fertilizers results in significant environmental problems, including water pollution, accumulation of xenobiotic chemicals, diminished soil quality and fertility, and adver...
Datia Siti Nur Lisa, Aida Nursidah, Hani Susanti· Buitenzorg: Journal of Tropi...· 0 citations
Enhanced soil salinity is a major constraint to rice production in the coastal regions of Bangladesh. Salinity stress impairs nutrient uptake and induces ionic toxicity and osmotic stress, while excessive use of chemical fertilizers degrades soil health and causes environmental pollution. A novel salt-tolerant endophyt...
Amit Chowdhury, J. Bhattacharya, Md. Iyasir Arafat et al.· Discover Agriculture· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.