Abstract
Veronic Töpfer, Claudia Breitkreuz, Andrea Matros, Andreas Stahl, Sebastian Warnemünde, Gwendolin Wehner
Abstract
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Income growth and climate change effects on global nutrition security to mid-century
10.1038/s41893-018-0192-z · 2018
Land-based climate change mitigation measures can affect agricultural markets and food security
10.1038/s43016-022-00464-4 · 2022
Climate change threatens crop diversity at low latitudes
10.1038/s43016-025-01135-w · 2025
Predicting changes in agricultural yields under climate change scenarios and their implications for global food security
10.1038/s41598-025-87047-y · 2025
Projected changes in climate extremes using CMIP6 simulations over SREX regions
10.1007/s41748-021-00250-5 · 2021
A systematic review of regional and global climate extremes in CMIP6 models under shared socio-economic pathways
10.1007/s00704-024-04872-3 · 2024
Diverging responses of terrestrial ecosystems to water stress after disturbances
10.1038/s41558-024-02191-z · 2025
Plant-biostimulants interaction: scientific trends, markets dynamics, and real-world implication
10.1080/17429145.2025.2572668 · 2025
Unresolved referenced work
1888
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
Biostimulants in plant science: a global perspective
10.3389/fpls.2016.02049 · 2017
Plant biostimulants: physiological responses induced by protein hydrolyzed-based products and humic substances in plant metabolism
10.1590/0103-9016-2015-0006 · 2016
Editorial: biostimulants in agriculture
10.3389/fpls.2020.00040 · 2020
The role of biostimulants as alleviators of biotic and abiotic stresses in grapevine: a review
10.3390/plants11030396 · 2022
Plant biostimulants: definition, concept, main categories and regulation
10.1016/j.scienta.2015.09.021 · 2015
Biostimulants for sustainable agriculture: enhancing plant growth and stress resilience
10.3390/app16104685 · 2026
Can biostimulants be used to mitigate the effect of anthropogenic climate change on agriculture? It is time to respond
10.1016/j.scitotenv.2020.141763 · 2021
Plant growth biostimulant activity of the green microalga Desmodesmus subspicatus
10.1016/j.algal.2021.102434 · 2021
Arbuscular mycorrhizal fungi (AMF) enhanced the growth, yield, fiber quality and phosphorus regulation in upland cotton (Gossypium hirsutum L.)
10.1038/s41598-020-59180-3 · 2020
Trichoderma-based biostimulants modulate rhizosphere microbial populations and improve N uptake efficiency, yield, and nutritional quality of leafy vegetables
10.3389/fpls.2018.00743 · 2018
The application of a plant biostimulant based on seaweed and yeast extract improved tomato fruit development and quality
10.3390/biom10121662 · 2020
Impact of biostimulant on growth, yield and quality of potato
2023
Maize grain yield and quality improvement through biostimulant application: a systematic review
10.1007/s42729-024-01687-z · 2024
Impacts of early drought stress and plant-based biologicals on malting and feed barley quality
10.3389/fagro.2026.1786829 · 2026
The genotype-dependent effects of biologicals on drought adaptation in spring barley
10.1016/j.stress.2025.100884 · 2025
Phenotyping to dissect the biostimulant action of a protein hydrolysate in tomato plants under combined abiotic stress
10.1016/j.plaphy.2022.03.012 · 2022
Ascophyllum nodosum (L.) Le Jolis, a Pivotal Biostimulant toward Sustainable Agriculture: a Comprehensive Review
2023
Field evaluation and characterization of a novel biostimulant for broccoli (Brassica oleracea var. italica) cultivation under drought and salt stress which increases antioxidant, glucosinolate and phytohormone content
10.1016/j.scienta.2024.113584 · 2024
Photosynthetic microorganisms, an overview of their biostimulant effects on plants and perspectives for space agriculture
10.1080/17429145.2023.2242697 · 2023
The combination of a microbial and a non-microbial biostimulant increases yield in lettuce (Lactuca sativa) under salt stress conditions by up-regulating cytokinin biosynthesis
10.1111/jipb.13755 · 2024
Beneficial bacterial endophytes promote spinach plant growth under indoor vertical hydroponics
10.48130/tihort-0024-0012 · 2024
A global network meta-analysis of the promotion of crop growth, yield, and quality by bioeffectors
10.3389/fpls.2022.816438 · 2022
Unlocking the potential of biostimulants: a review of classification, mode of action, formulations, efficacy, mechanisms, and recommendations for sustainable intensification
10.3390/ijpb16040122 · 2025
Biostimulants in horticulture
10.1016/j.scienta.2015.10.044 · 2015
Strategies and prospects for biostimulants to alleviate abiotic stress in plants
10.3389/fpls.2022.1024243 · 2022
Advances and technological applications of alginate hydrogels and derived formulations in agriculture: a review
2026
Biostimulants, soil improvers, bioprotectants: promoters of bio-intensification in plant production
10.1007/s41348-022-00567-x · 2022
The role of biostimulants and bioeffectors as alleviators of abiotic stress in crop plants
10.1186/s40538-017-0089-5 · 2017
Alleviation of salt-induced adverse effects in eggplant (Solanum melongena L.) by glycinebetaine and sugarbeet extracts
10.1016/j.scienta.2010.04.008 · 2010
Evaluation of a biostimulant (Pepton) based in enzymatic hydrolyzed animal protein in comparison to seaweed extracts on root development, vegetative growth, flowering, and yield of gold cherry tomatoes grown under low stress ambient field conditions
10.3389/fpls.2017.02261 · 2018
Effectiveness of bio-effectors on maize, wheat and tomato performance and phosphorus acquisition from greenhouse to field scales in Europe and Israel: a meta-analysis
10.3389/fpls.2024.1333249 · 2024
A call to action to scale up research and clinical genomic data sharing
10.1038/s41576-024-00776-0 · doi-reference
Stabilizing translucencies: governing AI transparency by standardization
10.1177/20539517241234298 · doi-reference
Model aggregation techniques in federated learning: a comprehensive survey
10.1016/j.future.2023.09.008 · doi-reference
Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies
10.1016/j.pbi.2022.102326 · doi-reference
Statistical analysis of microbiome data: the challenge of sparsity
10.1016/j.coemr.2021.05.005 · doi-reference
A century of research on Azospirillum and still so much to discover
10.1007/s11104-025-08178-9 · doi-reference
Omics-driven insights into plant growth-promoting microorganisms for sustainable agriculture
10.1007/s43621-025-01582-2 · doi-reference
Symbiotic synergy: unveiling plant-microbe interactions in stress adaptation
10.1007/s10343-024-01070-z · doi-reference
Metabolic and physiological adaptations of microalgal growth-promoting bacterium Azospirillum brasilense growing under biogas atmosphere: a microarray-based transcriptome analysis
10.1007/s00203-024-03890-z · doi-reference
Revealing the hidden world of soil microbes: metagenomic insights into plant, bacteria, and fungi interactions for sustainable agriculture and ecosystem restoration
10.1016/j.micres.2024.127764 · doi-reference
The potential of biostimulants on soil microbial community: a review
10.3389/finmi.2023.1308641 · doi-reference
Engineering the crop microbiota through host genetics
10.1146/annurev-phyto-021621-121447 · doi-reference
Does commercial inoculation promote arbuscular mycorrhizal fungi invasion?
10.3390/microorganisms10020404 · doi-reference
Hurdles to overcome to achieve biostimulant-driven, low chemical input crop production
10.1002/ppp3.70030 · doi-reference
Cost analysis of using UAV sprayers for olive fruit fly control
10.3390/agriengineering5040118 · doi-reference
A review on UAV-based applications for precision agriculture
10.3390/info10110349 · doi-reference
Limitations and solutions for developing a grain yield and protein content forecasting model based on vegetation indices in organic wheat production–on-farm experimentation
10.1080/01448765.2024.2364304 · doi-reference
Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection
10.3389/fpls.2024.1435016 · doi-reference
Phenotypic analysis of diseased plant leaves using supervised and weakly supervised deep learning
10.34133/plantphenomics.0022 · doi-reference
Drone remote sensing of wheat N using hyperspectral sensor and machine learning
10.1007/s11119-023-10089-7 · doi-reference
Wheat yellow rust detection using UAV-based hyperspectral technology
10.3390/rs13010123 · doi-reference
Advances in hyperspectral sensing in agriculture: a review
10.5935/1806-6690.20200096 · doi-reference
Scoring Cercospora leaf spot on sugar beet: comparison of UGV and UAV phenotyping systems
10.34133/2020/9452123 · doi-reference
Host-mediated gene engineering and microbiome-based technology optimization for sustainable agriculture and environment
10.1007/s10142-023-00982-9 · doi-reference
Alkaloids in the valorization of European Lupinus spp. seeds crop
10.1016/j.indcrop.2016.10.033 · doi-reference
Biosynthesis of the allelopathic alkaloid gramine in barley by a cryptic oxidative rearrangement
10.1126/science.adk6112 · doi-reference
Prototype of an intertwined secondary-metabolite supercluster
10.1073/pnas.1313258110 · doi-reference
Identification and characterization of the echinocandin B biosynthetic gene cluster from Emericella rugulosa NRRL 11440
10.1021/ja307220z · doi-reference
Fungal indole alkaloid biosynthesis: genetic and biochemical investigation of the tryptoquialanine pathway in Penicillium aethiopicum
10.1021/ja1101085 · doi-reference
Designing future crops: genomics-assisted breeding comes of age
10.1016/j.tplants.2021.03.010 · doi-reference
Plant cell identity in the era of single-cell transcriptomics
10.1146/annurev-genet-071719-020453 · doi-reference
Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding
10.1038/s41437-020-0336-6 · doi-reference
Functional markers for precision plant breeding
10.3390/ijms21134792 · doi-reference
Next generation plant biostimulants & genome sequencing strategies for sustainable agriculture development
10.3389/fmicb.2024.1439561 · doi-reference
Emerging trends in nanotechnology and AI-Driven valorization of agro-industrial waste in circular bioeconomy for production of biostimulants
10.3390/foods15132274 · doi-reference
Developing biostimulants from agro-food and industrial By-Products
10.3389/fpls.2018.01567 · doi-reference
A fast method to evaluate in a combinatorial manner the synergistic effect of different biostimulants for promoting growth or tolerance against abiotic stress
10.1186/s13007-022-00943-6 · doi-reference
Application of seaweed generates changes in the substrate and stimulates the growth of tomato plants
10.3390/plants12071520 · doi-reference
Rate and timing of application of biostimulant substances to enhance fruit tree tolerance toward environmental stresses and fruit quality
10.3390/agronomy12030603 · doi-reference
Effects of dropleg application technique during flowering of oilseed rape on insect pests
10.1016/j.cropro.2019.104917 · doi-reference