N. Fahlgren

Modeling phytomeric growth using high-throughput phenotyping deconvolutes genetic control of complex traits underlying size and water use in Setaria

The paper develops a phytomeric growth model integrated with high-throughput phenotyping to better estimate water use efficiency and identify genetic factors influencing plant size and drought response in Setaria.

Natural Variation in Brachypodium distachyon Responses to Combined Abiotic Stresses

This study analyzes phenotypic and genetic variation in Brachypodium distachyon under drought, heat, and combined stresses to identify SNPs associated with stress responses.

Tasselyzer, a machine learning method to quantify maize anther exertion, based on PlantCV

Tasselyzer quantifies maize anther exertion using PlantCV for automated, large-scale analysis, capturing regional differences and demonstrating utility in research and breeding.

Genomewide association study reveals transient loci underlying the genetic architecture of biomass accumulation under cold stress in Sorghum.

The paper conducts a genome-wide association study on sorghum accessions under cold stress to identify transient loci linked to biomass accumulation and growth traits.

Heating quinoa shoots results in yield loss by inhibiting fruit production and delaying maturity

This study shows that heating quinoa shoots during flowering reduces seed yield by decreasing fruit production and delaying maturity, suggesting an avoidance strategy to survive heat stress.

Antiviral Functions of ARGONAUTE Proteins During Turnip Crinkle Virus Infection Revealed by Image-based Trait Analysis in Arabidopsis

The paper uses image-based phenotyping to identify AGO proteins with antiviral roles during TCV infection in Arabidopsis.

An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotyping

The paper introduces an automated method to standardize image color profiles in plant phenotyping, improving accuracy by correcting brightness, contrast, and color variation across images.

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.

Raspberry Pi Powered Imaging for Plant Phenotyping

This paper describes three low-cost Raspberry Pi-based imaging platforms for plant phenotyping, enabling high-throughput data collection and analysis using open-source tools.