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The Plant Genome|September 27, 2025
Genomewide association and prediction of phenotypic stability in barleyJeffrey L Neyhart, Lucia Gutierrez, Kevin P Smith
G3 (Bethesda, Md.)|July 31, 2019
Multi-trait Improvement by Predicting Genetic Correlations in Breeding CrossesJeffrey L Neyhart, Aaron J Lorenz, Kevin P Smith
G3 (Bethesda, Md.)|August 9, 2022
Genomic-environmental associations in wild cranberry (Vaccinium macrocarpon Ait.)Jeffrey L Neyhart, Michael B Kantar, Juan Zalapa, et al.
G3 (Bethesda, Md.)|March 20, 2017
Evaluating Methods of Updating Training Data in Long-Term Genomewide SelectionJeffrey L Neyhart, Tyler Tiede, Aaron J Lorenz, et al.
The Plant Genome|August 8, 2025
Leveraging genetic resources and genomic prediction to enhance flavonol content in cranberry fruitNicolás P Jiménez, Stephanie Fong, Jeffrey L Neyhart, et al.
Communications Biology|April 16, 2025
Environmental genomic selection to leverage polygenic local adaptation in barley landracesAnna Halpin-McCormick, Quinn Campbell, Sónia Negrão, et al.
Frontiers in Plant Science|October 2, 2024
Of buds and bits: a meta-QTL study identifies stable QTL for berry quality and yield traits in cranberry mapping populations (Vaccinium macrocarpon Ait.)Andrew F Maule, Jenyne Loarca, Luis Diaz-Garcia, et al.
Plant Disease|January 11, 2026
Integrating Past Lessons into Improved Management of Cranberry False Blossom DiseasePeter V Oudemans, Jeffrey L Neyhart, Jaspreet Kaur, et al.
The New Phytologist|February 17, 2021
Genetic loci mediating circadian clock output plasticity and crop productivity under barley domesticationManas R Prusty, Eyal Bdolach, Eiji Yamamoto, et al.
Frontiers in Plant Science|September 30, 2022
A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google's ColaboratoryDevin A Rippner, Pranav V Raja, J Mason Earles, et al.
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