Disease incidence in sugar beet fields is correlated with microbial diversity and distinct biological markers

Agriculture & Biology

• disease incidence 62%
• sugar beet 62%
• microbiome 59%
• biomarkers 55%
• beets 27%
• root rot 27%
• health status 26%
• Vishniacozyma 24%
• antagonists 21%
• Lactobacillales 20%
• Plectosphaerella 20%
• bacteriome 19%
• alternative fuels 15%
• plant health 14%
• fungi 14%
• Beta vulgaris 14%
• renewable energy sources 13%
• Candida 13%
• Austria 13%
• Penicillium 12%
• management systems 12%
• Fusarium 11%
• disease control 10%
• Germany 10%
• sampling 8%
• ribosomal RNA 8%
• sugars 8%
• pathogens 7%
• bacteria 6%
• genes 4%

Earth & Environmental Sciences

• disease incidence 89%
• sugar beet 85%
• root rot 54%
• marker 51%
• health status 37%
• harvest 27%
• fungus 26%
• alternative fuel 19%
• sugar 15%
• pathogen 14%
• alternative energy 14%
• gene 11%
• health 10%
• bacterium 9%
• indicator 9%
• loss 8%

Medicine & Life Sciences

• Beta vulgaris 100%
• Sugars 59%
• Mycobiome 43%
• Biomarkers 40%
• Incidence 29%
• Microbiota 26%
• Health Status 15%
• Penicillium 11%
• Fusarium 11%
• Lactobacillales 11%
• Austria 10%
• rRNA Genes 9%
• 16S Ribosomal RNA 9%
• Candida 9%
• Mycoses 8%
• Disease Management 8%
• Fungi 7%
• Germany 7%
• Datasets 6%
• Bacteria 5%
• Health 4%