Publications

2023

Local adaptation and broad performance are synergistic to productivity in modern barley
Local adaptation and broad performance are synergistic to productivity in modern barley
Patrick M. Ewing, Michael B. Kantar, Erik Killian, Jeffrey L. Neyhart, Jamie D. Sherman, Jessica L. Williams, Jennifer A. Lachowiec, Jed O. Eberly
Crop Science  ·  19 Dec 2023  ·  doi:10.1002/csc2.21168
Where the wild things are: genetic associations of environmental adaptation in the <i>Oryza rufipogon</i> species complex
Where the wild things are: genetic associations of environmental adaptation in the Oryza rufipogon species complex
Diane R Wang, Michael B Kantar, Varunseelan Murugaiyan, Jeffrey Neyhart
G3: Genes, Genomes, Genetics  ·  09 Jun 2023  ·  doi:10.1093/g3journal/jkad128
Adapting perennial grain and oilseed crops for climate resiliency
Adapting perennial grain and oilseed crops for climate resiliency
Jacob Jungers, Bryan Runck, Patrick M. Ewing, Tai Maaz, Craig Carlson, …, Senait Senay, Mitch Hunter, Colin Cureton, Jessica Gutknecht, Michael B. Kantar
Crop Science  ·  18 May 2023  ·  doi:10.1002/csc2.20972

2022

A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google’s Colaboratory
A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google’s Colaboratory
Devin A. Rippner, Pranav V. Raja, J. Mason Earles, Mina Momayyezi, Alexander Buchko, …, Elizabeth J. Forrestel, Dilworth Y. Parkinson, Kenneth A. Shackel, Jeffrey L. Neyhart, Andrew J. McElrone
Frontiers in Plant Science  ·  13 Sep 2022  ·  doi:10.3389/fpls.2022.893140
Genomic-environmental associations in wild cranberry (<i>Vaccinium macrocarpon</i>Ait.)
Genomic-environmental associations in wild cranberry (Vaccinium macrocarponAit.)
Jeffrey L Neyhart, Michael B Kantar, Juan Zalapa, Nicholi Vorsa
G3 Genes|Genomes|Genetics  ·  09 Aug 2022  ·  doi:10.1093/g3journal/jkac203
Accurate predictions of barley phenotypes using genomewide markers and environmental covariates
Accurate predictions of barley phenotypes using genomewide markers and environmental covariates
Jeffrey L. Neyhart, Kevin A. T. Silverstein, Kevin P. Smith
Crop Science  ·  22 Jul 2022  ·  doi:10.1002/csc2.20782

2021

Optimizing the choice of test locations for multitrait genotypic evaluation
Optimizing the choice of test locations for multitrait genotypic evaluation
Jeffrey L. Neyhart, Lucia Gutierrez, Kevin P. Smith
Crop Science  ·  13 Dec 2021  ·  doi:10.1002/csc2.20657
Genetic loci mediating circadian clock output plasticity and crop productivity under barley domestication
Genetic loci mediating circadian clock output plasticity and crop productivity under barley domestication
Manas R. Prusty, Eyal Bdolach, Eiji Yamamoto, Lalit D. Tiwari, Roi Silberman, …, David Bonfil, Khalil Kashkush, Klaus Pillen, Kevin P. Smith, Eyal Fridman
New Phytologist  ·  31 Mar 2021  ·  doi:10.1111/nph.17284
Nested association mapping reveals the genetic architecture of spike emergence and anthesis timing in intermediate wheatgrass
Nested association mapping reveals the genetic architecture of spike emergence and anthesis timing in intermediate wheatgrass
Kayla R Altendorf, Steven R Larson, Lee R DeHaan, Jared Crain, Jeff Neyhart, Kevin M Dorn, James A Anderson
G3 Genes|Genomes|Genetics  ·  30 Jan 2021  ·  doi:10.1093/g3journal/jkab025

2020

Using environmental similarities to design training sets for genomewide selection
Using environmental similarities to design training sets for genomewide selection
Jeffrey L. Neyhart, Lucía Gutiérrez, Kevin P. Smith
Crop Science  ·  05 Nov 2020  ·  doi:10.1002/csc2.20303
An active learning tool for quantitative genetics instruction using <i>R</i> and <i>shiny</i>
An active learning tool for quantitative genetics instruction using R and shiny
Jeffrey L. Neyhart, Eric Watkins
Natural Sciences Education  ·  01 Jan 2020  ·  doi:10.1002/nse2.20026

2019

Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
Jeffrey L Neyhart, Aaron J Lorenz, Kevin P Smith
G3 Genes|Genomes|Genetics  ·  01 Oct 2019  ·  doi:10.1534/g3.119.400406
Validating Genomewide Predictions of Genetic Variance in a Contemporary Breeding Program
Validating Genomewide Predictions of Genetic Variance in a Contemporary Breeding Program
Jeffrey L. Neyhart, Kevin P. Smith
Crop Science  ·  01 May 2019  ·  doi:10.2135/cropsci2018.11.0716
Registration of the S2MET Barley Mapping Population for Multi‐Environment Genomewide Selection
Registration of the S2MET Barley Mapping Population for Multi‐Environment Genomewide Selection
Jeffrey L. Neyhart, Daniel Sweeney, Mark Sorrells, Christian Kapp, Kenneth D. Kephart, …, Nia Hughes, Lewis Lukens, Pablo González Barrios, Lucia Gutiérrez, Kevin P. Smith
Journal of Plant Registrations  ·  14 Mar 2019  ·  doi:10.3198/jpr2018.06.0037crmp
germplasm
The many‐faced Janus of plant breeding
The many‐faced Janus of plant breeding
Michael B. Kantar, Bryan C. Runck, Barath Raghavan, Alison B. Joglekar, Senait Senay, Brian Krohn, Jeffrey Neyhart, James Bradeen, Marybel Soto Gomez, Roger Kjelgren
PLANTS, PEOPLE, PLANET  ·  04 Mar 2019  ·  doi:10.1002/ppp3.30

2017

Evaluating Methods of Updating Training Data in Long-Term Genomewide Selection
Evaluating Methods of Updating Training Data in Long-Term Genomewide Selection
Jeffrey L Neyhart, Tyler Tiede, Aaron J Lorenz, Kevin P Smith
G3 Genes|Genomes|Genetics  ·  01 May 2017  ·  doi:10.1534/g3.117.040550
breeding-methods genomewide-prediction