Water Flux and Aquaporin Dynamics in Pearl Millet Hybrids
by Susan Medina·Updated 1mo ago
2.0 MB1files
Available on 1 platform
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Description
Data Sheet 1 contains physiological, anatomical, and molecular data from a study on water-saving traits in pearl millet. The study by Susan Medina, uploaded to figshare in 2026, investigated four contrasting hybrids bred for high and low rainfall zones. It integrates transpiration responses, root pressurization, anatomical characterization, and transcriptional profiling of aquaporin genes.
Use Cases
Modeling hydraulic strategies in crops based on transpiration responses to vapor pressure deficit (VPD).
Analyzing the relationship between root anatomy and water transport based on metaxylem proliferation data.
Investigating gene expression patterns for drought response based on transcriptional profiling of PIP and TIP genes.
Comparing water-use efficiency between crop genotypes based on physiological assays of root hydraulic conductivity.
Strengths
Data integrates multiple phenotyping levels: physiological, anatomical, and molecular.
Study design compares four genetically distinct hybrids from contrasting breeding histories.
File is licensed under CC-BY-4.0, permitting open sharing and adaptation.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The primary data file is a DOCX document, which may require parsing to extract structured data.
Provenance
Source
Susan Medina via figshare.
Collection Method
Data generated from physiological assays, root pressurization, pharmacological inhibition, anatomical characterization, and transcriptional profiling.
Time Range
Temporal coverage of the underlying study is not specified.
Freshness
Last updated 2026-04-14 13:12:15; freshness should be verified.
Geography
Spatial coverage is not specified, but the study involves pearl millet hybrids bred for specific rainfall zones.
The dataset is a 2.0 MB DOCX file, which is a small document format; users may need to extract tables or text for computational analysis.