USDA Agricultural Research Service
The chief in-house scientific research agency of the U.S. Department of Agriculture, conducting research across crop science, food safety, a...
About this collaboration
USDA Agricultural Research Service collaborates with Vibe Imaging Analytics to apply reproducible imaging and phenotyping workflows in grain and seed research. This partner currently has 5 linked publications on the site. Based in Multiple sites, USA.
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Publications with Vibe
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Influence of genotype and environment on field pea composition and milling traits
Eight yellow pea genotypes grown across four locations were evaluated for composition and milling performance. Image analysis quantified seed size/shape traits to link genotype-by-environment effects with dehulling, splitting efficiency, and flour yields.
Report of the 2024 Uniform Regional Scab Nursery for Spring Wheat Parents
Multi-location URSN report summarizing Fusarium head blight performance of spring wheat parent lines across MN/ND/SD sites, supported by USDA and the U.S. Wheat & Barley Scab Initiative.
Characterization of yellow pea (Pisum sativum L.) genotypes for performance (agronomic and quality) and stability across environments
Thousand-seed weight of 21 yellow pea genotypes across Washington test environments was measured with a Vibe QM3i Grain Analyzer, feeding an analysis of agronomic performance, quality, and genotype-by-environment stability.
Evaluation of Methods for Measuring Fusarium-Damaged Kernels of Wheat
Comparing manual counting, near-infrared spectroscopy, visual scoring, and the Vibe QM3 grain analyzer for scoring Fusarium-damaged kernels across 1,266 wheat entries, the Vibe QM3 platform showed the strongest prediction of DON content (R² = 0.63, rising to 0.76 when deployed as genomic estimated breeding values).
A network modeling approach provides insights into the environment-specific yield architecture of wheat
Kernel morphometric parameters (length, width, area, weight) measured with the Vibe QM3 grain analyzer fed a structural equation model mapping how QTL effects on yield components translate into overall wheat yield across five environments.
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