M. J. Feldman

A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

The paper introduces a low-cost, semi-automated machine vision workflow to measure tuber size, shape, and colorimetric features in potato breeding populations, demonstrating reliable and heritable quantitative phenotyping.

A deep learning algorithm for potato tuber hollowheart classification

The paper proposes a deep learning algorithm for detecting hollow heart in potato tubers using consumer-grade hardware, achieving improved classification performance compared to human scoring and X-ray methods.

Correlation and co-localization of QTL for stomatal density and canopy temperature under drought stress in Setaria

The paper identifies QTLs for stomatal density and canopy temperature in Setaria under drought stress, showing their genetic correlation and potential for improving water use efficiency.

Trends and gaps in the use of citizen science derived data as input for species distribution models: a quantitative review

This paper reviews trends and gaps in using citizen science data for species distribution models, finding increased usage but disparities in taxonomic and geographic coverage.

Trait components of whole plant water use efficiency are defined by unique, environmentally responsive genetic signatures in the model C4 grass Setaria

This study identifies heritable genetic signatures affecting water use efficiency in Setaria by analyzing plant size, water use, and their relationship under different watering conditions.

Time dependent genetic analysis links field and controlled environment phenotypes in the model C4 grass Setaria

This study links field and controlled environment plant height phenotypes in Setaria using genetic analysis, showing height is heritable, polygenic, and influenced by environmental factors and developmental timing.