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Tracking plant water use, plant-microbe interactions and vulnerability to drought using neutron imaging [Slides]
Abstract not provided.
Analysis of RNA viral function from metatranscriptomic reads in drought simulated soils
Soil viruses have received increased interest in recent years because of their abundance and unelucidated potential as drivers for organic carbon derived from fungal and bacterial necromass. With decreasing levels of rainfall and climbing instances of unseasonal conditions, it becomes crucial to our goals for negative carbon emissions to understand how soil carbon flux is affected. Here we leveraged metatranscriptomic data from a section of research plot of Hopland Research and Extension in northern California with a suite of viral detection tools: VirSorter, DRAMv, and VContact2. We aimed to cross analyze moisture regiments with viral populations. We find that viral diversity is driven by site, like bacteria. We found that viral diversity at face value showed some differentiation but did not significantly differ by legacy moisture content. Additionally, there was detection of auxiliary metabolic genes in a viral sequence which may further support virus’s direct input into the soil carbon pool.
Machine Learning and Reservoir Computing for Watershed-Scale Drought Prediction
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Accounting for Renewable Resource Droughts in Energy Infrastructure Planning for California, Part II: Nodal Capacity Expansion Planning
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High quality genome sequencing of Agave tequilana, a bioenergy crop with high drought tolerance and low biomass recalcitrance
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Drought tolerance gene
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RNA-seq analysis of SUB1-mediated drought tolerance in rice
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Exploring the role of drought-induced plant associated microbes in promoting plant fitness in Sorghum bicolor and Oryza sativa
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The effect of drought stress on the bacterial, fungal and viral microbiome of Mimulus
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Editorial: Systems Biology and Synthetic Biology in Relation to Drought Tolerance or Avoidance in Plants
Not Available
Root Pulling Force Across Drought in Maize Reveals Genotype by Environment Interactions and Candidate Genes
High-throughput, field-based characterization of root systems for hundreds of genotypes in thousands of plots is necessary for breeding and identifying loci underlying variation in root traits and their plasticity. We designed a large-scale sampling of root pulling force, the vertical force required to extract the root system from the soil, in a maize diversity panel under differing irrigation levels for two growing seasons. We then characterized the root system architecture of the extracted root crowns. We found consistent patterns of phenotypic plasticity for root pulling force for a subset of genotypes under differential irrigation, suggesting that root plasticity is predictable. Using genome-wide association analysis, we identified 54 SNPs as statistically significant for six independent root pulling force measurements across two irrigation levels and four developmental timepoints. For every significant GWAS SNP for any trait in any treatment and timepoint we conducted post hoc tests for genotype-by-environment interaction, using a mixed model ANOVA. We found that 8 of the 54 SNPs showed significant GxE. Candidate genes underlying variation in root pulling force included those involved in nutrient transport. Although they are often treated separately, variation in the ability of plant roots to sense and respond to variation in environmental resources including water and nutrients may be linked by the genes and pathways underlying this variation. While functional validation of the identified genes is needed, our results expand the current knowledge of root phenotypic plasticity at the whole plant and gene levels, and further elucidate the complex genetic architecture of maize root systems.
Evaluating Response of Southern California Chaparral Landscapes to Short-interval Fire and Drought (1984-2018)
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Data Drought in the Humid Tropics: How to Overcome the Cloud Barrier in Greenhouse Gas Remote Sensing
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Tropical extreme droughts drive long-term increase in atmospheric CO2 growth rate variability
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A Place‐Based Approach to Drought Forecasting in South‐Central Oklahoma
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Multicomponent Satellite Assessment of Drought Severity in the Contiguous United States From 2002 to 2017 Using AMSR‐E and AMSR2
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Assessing Global Reservoir‐Based Hydrological Droughts by Fusing Storage and Evaporation
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