Hershberger Lab

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TABLE Game 1 Game 2 Game 3 Total
Anna 144 123 218 485
Bill 90 175 120 385
Cara 102 214 233 549

It was the best of times it was the worst of times. It was the age of wisdom, it was the age of foolishness. It was the spring of hope, it was the winter of despair.

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Stage Direct Products ATP Yields
Glycolysis
2 ATP  
2 NADH 3–5 ATP
Pyruvaye oxidation 2 NADH 5 ATP
Citric acid cycle

2 ATP  
6 NADH 15 ATP
2 FADH 3 ATP
30–32 ATP    

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List

List citations

2025

Sustaining public plant breeding programs across generations
Iago Hale, Jenny Koebernick, Jenna Hershberger, Trevor Rife, Juan‐David Arbelaez, …, Margaret Worthington, Margaret Smith, Gayle Volk, Marnin Wolfe, Michael Kantar
Crop Science  ·  01 May 2025  ·  doi:10.1002/csc2.70094

2023

Sainfoin (Onobrychis spp.) crop ontology: supporting germplasm characterization and international research collaborations
Ebrar Karabulut, Kübra Erkoç, Murat Acı, Mahmut Aydın, Spencer Barriball, …, Allison J. Miller, Matthew J. Rubin, Omar Tesdell, Brandon Schlautman, Muhammet Şakiroğlu
Frontiers in Plant Science  ·  15 May 2023  ·  doi:10.3389/fpls.2023.1177406

2022

Predicting starch content in cassava fresh roots using near-infrared spectroscopy
Edwige Gaby Nkouaya Mbanjo, Jenna Hershberger, Prasad Peteti, Afolabi Agbona, Andrew Ikpan, …, Elizabeth Parkes, Peter Kulakow, Michael A. Gore, Chiedozie Egesi, Ismail Yusuf Rabbi
Frontiers in Plant Science  ·  08 Nov 2022  ·  doi:10.3389/fpls.2022.990250
Sweet Corn Transcriptome Pinpoints Vitamin Genes
CSA News  ·  03 May 2022  ·  doi:10.1002/csan.20750
Breedbase: a digital ecosystem for modern plant breeding
Nicolas Morales, Alex C Ogbonna, Bryan J Ellerbrock, Guillaume J Bauchet, Titima Tantikanjana, …, Bert de Boeck, Hugo Campos, Rony Swennen, Jeremy D Edwards, Lukas A Mueller
G3 Genes|Genomes|Genetics  ·  06 Apr 2022  ·  doi:10.1093/g3journal/jkac078
Low‐cost, handheld near‐infrared spectroscopy for root dry matter content prediction in cassava
Jenna Hershberger, Edwige Gaby Nkouaya Mbanjo, Prasad Peteti, Andrew Ikpan, Kayode Ogunpaimo, Kehinde Nafiu, Ismail Y. Rabbi, Michael A. Gore
The Plant Phenome Journal  ·  31 Mar 2022  ·  doi:10.1002/ppj2.20040
Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels
Jenna Hershberger, Ryokei Tanaka, Joshua C. Wood, Nicholas Kaczmar, Di Wu, John P. Hamilton, Dean DellaPenna, C. Robin Buell, Michael A. Gore
The Plant Genome  ·  08 Mar 2022  ·  doi:10.1002/tpg2.20197
Re-imagining crop domestication in the era of high throughput phenomics
David L. Van Tassel, Lee R. DeHaan, Luis Diaz-Garcia, Jenna Hershberger, Matthew J. Rubin, Brandon Schlautman, Kathryn Turner, Allison J. Miller
Current Opinion in Plant Biology  ·  01 Feb 2022  ·  doi:10.1016/j.pbi.2021.102150

2021

Prospector: A mobile application for portable, high‐throughput near‐infrared spectroscopy phenotyping
Trevor W. Rife, Chaney Courtney, Jenna Hershberger, Michael Allen Gore, Mitchell Neilsen, Jesse Poland
The Plant Phenome Journal  ·  22 Sep 2021  ·  doi:10.1002/ppj2.20024
Making waves in Breedbase: An integrated spectral data storage and analysis pipeline for plant breeding programs
Jenna Hershberger, Nicolas Morales, Christiano C. Simoes, Bryan Ellerbrock, Guillaume Bauchet, Lukas A. Mueller, Michael A. Gore
The Plant Phenome Journal  ·  15 Mar 2021  ·  doi:10.1002/ppj2.20012

List projects

High-dimensional phenotype data management
High-dimensional phenotype data management

The Hershberger Lab is leading a new AFRI DSFAS project, High-Dimensional Phenotype Data Management and Analysis Infrastructure for Plant Breeding, in collaboration with Trevor Rife, Lukas Mueller, Jean-Luc Jannink, and Peter Selby.

LIMA SCRI
LIMA! SCRI

In collaboration with partners across the US, we are working to develop genomic resources to improve lima bean breeding for consumer quality and agronomic traits.

Climate Resilient Cereals Innovation Lab CRCIL
Climate Resilient Cereals Innovation Lab (CRCIL)

CRCIL is a USAID-funded effort to enhance cereal germplasm for climate resilience in Ethiopia, Senegal, and Bangladesh. We are supporting the integration of spectroscopy-based phenotyping into partner breeding programs.

SweetCAP SCRI
SweetCAP SCRI

We are partnering with collaborators from across the US to develop new breeding technologies for sweet corn. Our current focus is the spectroscopy-aided discrimination of haploid vs diploid kernels during doubled haploid induction.

Green bean variety trials
Green bean variety trials

We partnered with McCall Farms to conduct our first variety trial in 2023 at Clemson’s PDREC. We are excited to continue this work 2024.

waves
waves

Originally designed application in the context of resource-limited plant research and breeding programs, ‘waves’ provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline.

Sweet corn transcriptomics
Sweet corn transcriptomics

We used fresh sweet corn kernel 3’RNAseq for transcriptome-wide association and prediction of carotenoid and tocochromanol content.

Cassava NIRS
Cassava NIRS

Working closely with collaborators at IITA, we successfully predicted root dry matter content with a handheld near-infrared spectrometer.


List team members


List blog posts

2024

New NIFA AFRI DSFAS award
New NIFA AFRI DSFAS award

Hershberger Lab leading new project focused on data management for high dimensional phenotypes NIFA recently announced awardees for the AFRI Foundational Data Science for Food and Agriculture Systems (DSFAS) program area priority (A1541). The Hershberger Lab is leading grant no. SC-2023-11724, High-Dimensional Phenotype Data Management and Analysis Infrastructure for Plant Breeding.

2023

Bean Improvement Cooperative Meeting 2023
Bean Improvement Cooperative Meeting 2023

Hershberger Lab attends biannual BIC meeting The Bean Improvement Cooperative (BIC) is a collaborative organization focused on advancing bean production globally by facilitating the exchange of information, research, and resources. Members of the Hershberger lab traveled up to Greenville, South Carolina this week for the BIC and North American Pulse Improvement Association (NAPIA) biannual meeting hosted by Clemson.

Announcing CRCIL
Announcing CRCIL

Hershberger Lab joins the new USAID Climate Resilient Cereals Innovation Lab The United States Agency for International Development (USAID) announced today that it has funded a new $22 million project to support the development of climate resilient cereals. The Hershberger Lab will support this project through the development of low cost, high(er)-throughput phenotyping of grain nutritional quality using spectroscopy-based methods.

2022

New germplasm
New germplasm

South Carolina Heirloom Butter Beans

Sweet Corn SCRI
Sweet Corn SCRI

The Hershberger lab joins SweetCAP The Sweet Corn Coordinated Agriculture Project (SweetCAP), is a USDA NIFA-funded, multi-institution and multi-disciplinary effort to support sweet corn improvement across the US. Earlier this year, a second iteration of SweetCAP was selected for funding through the Specialty Crop Research Initiative.

Welcome, Tyler
Welcome, Tyler!

Tyler Williams joins the lab as a Research Specialist

Butter beans!

It’s official - we have decided on our first crop! The Hershberger lab has started efforts towards building a butter bean (Phaseolus lunatus) breeding program. Butter beans, for those of you not from the Southern US, are also known as Lima beans.

Mobile spectrometer considerations

Maybe you’ve read about mobile spectrometers in the latest issue of your favorite journal, or maybe the lab down the hall can’t stop talking about them at the department coffee hour. Regardless of how you first heard about them, mobile near-infrared spectrometers can seem too good to be true. Can you really predict the quality of your grain, fruit, or root non-destructively and without investing in a benchtop spectrometer that costs more than a brand new car?

Welcome!

Welcome!

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A Small Card A cool card

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Grid of citations

2025

Sustaining public plant breeding programs across generations
Sustaining public plant breeding programs across generations
Iago Hale, Jenny Koebernick, Jenna Hershberger, Trevor Rife, Juan‐David Arbelaez, …, Margaret Worthington, Margaret Smith, Gayle Volk, Marnin Wolfe, Michael Kantar
Crop Science  ·  01 May 2025  ·  doi:10.1002/csc2.70094

2023

Sainfoin Onobrychis spp. crop ontology: supporting germplasm characterization and international research collaborations
Sainfoin (Onobrychis spp.) crop ontology: supporting germplasm characterization and international research collaborations
Ebrar Karabulut, Kübra Erkoç, Murat Acı, Mahmut Aydın, Spencer Barriball, …, Allison J. Miller, Matthew J. Rubin, Omar Tesdell, Brandon Schlautman, Muhammet Şakiroğlu
Frontiers in Plant Science  ·  15 May 2023  ·  doi:10.3389/fpls.2023.1177406

2022

Predicting starch content in cassava fresh roots using near-infrared spectroscopy
Predicting starch content in cassava fresh roots using near-infrared spectroscopy
Edwige Gaby Nkouaya Mbanjo, Jenna Hershberger, Prasad Peteti, Afolabi Agbona, Andrew Ikpan, …, Elizabeth Parkes, Peter Kulakow, Michael A. Gore, Chiedozie Egesi, Ismail Yusuf Rabbi
Frontiers in Plant Science  ·  08 Nov 2022  ·  doi:10.3389/fpls.2022.990250
Breedbase: a digital ecosystem for modern plant breeding
Breedbase: a digital ecosystem for modern plant breeding
Nicolas Morales, Alex C Ogbonna, Bryan J Ellerbrock, Guillaume J Bauchet, Titima Tantikanjana, …, Bert de Boeck, Hugo Campos, Rony Swennen, Jeremy D Edwards, Lukas A Mueller
G3 Genes|Genomes|Genetics  ·  06 Apr 2022  ·  doi:10.1093/g3journal/jkac078
Low cost, handheld near infrared spectroscopy for root dry matter content prediction in cassava
Low‐cost, handheld near‐infrared spectroscopy for root dry matter content prediction in cassava
Jenna Hershberger, Edwige Gaby Nkouaya Mbanjo, Prasad Peteti, Andrew Ikpan, Kayode Ogunpaimo, Kehinde Nafiu, Ismail Y. Rabbi, Michael A. Gore
The Plant Phenome Journal  ·  31 Mar 2022  ·  doi:10.1002/ppj2.20040
Transcriptome wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels
Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels
Jenna Hershberger, Ryokei Tanaka, Joshua C. Wood, Nicholas Kaczmar, Di Wu, John P. Hamilton, Dean DellaPenna, C. Robin Buell, Michael A. Gore
The Plant Genome  ·  08 Mar 2022  ·  doi:10.1002/tpg2.20197
Re-imagining crop domestication in the era of high throughput phenomics
Re-imagining crop domestication in the era of high throughput phenomics
David L. Van Tassel, Lee R. DeHaan, Luis Diaz-Garcia, Jenna Hershberger, Matthew J. Rubin, Brandon Schlautman, Kathryn Turner, Allison J. Miller
Current Opinion in Plant Biology  ·  01 Feb 2022  ·  doi:10.1016/j.pbi.2021.102150

2021

Prospector: A mobile application for portable, high throughput near infrared spectroscopy phenotyping
Prospector: A mobile application for portable, high‐throughput near‐infrared spectroscopy phenotyping
Trevor W. Rife, Chaney Courtney, Jenna Hershberger, Michael Allen Gore, Mitchell Neilsen, Jesse Poland
The Plant Phenome Journal  ·  22 Sep 2021  ·  doi:10.1002/ppj2.20024
Making waves in Breedbase: An integrated spectral data storage and analysis pipeline for plant breeding programs
Making waves in Breedbase: An integrated spectral data storage and analysis pipeline for plant breeding programs
Jenna Hershberger, Nicolas Morales, Christiano C. Simoes, Bryan Ellerbrock, Guillaume Bauchet, Lukas A. Mueller, Michael A. Gore
The Plant Phenome Journal  ·  15 Mar 2021  ·  doi:10.1002/ppj2.20012

Grid of blog posts

2024

New NIFA AFRI DSFAS award
New NIFA AFRI DSFAS award

Hershberger Lab leading new project focused on data management for high dimensional phenotypes NIFA recently announced awardees for the AFRI Foundational Data Science for Food and Agriculture Systems (DSFAS) program area priority (A1541). The Hershberger Lab is leading grant no. SC-2023-11724, High-Dimensional Phenotype Data Management and Analysis Infrastructure for Plant Breeding.

2023

Bean Improvement Cooperative Meeting 2023
Bean Improvement Cooperative Meeting 2023

Hershberger Lab attends biannual BIC meeting The Bean Improvement Cooperative (BIC) is a collaborative organization focused on advancing bean production globally by facilitating the exchange of information, research, and resources. Members of the Hershberger lab traveled up to Greenville, South Carolina this week for the BIC and North American Pulse Improvement Association (NAPIA) biannual meeting hosted by Clemson.

Announcing CRCIL
Announcing CRCIL

Hershberger Lab joins the new USAID Climate Resilient Cereals Innovation Lab The United States Agency for International Development (USAID) announced today that it has funded a new $22 million project to support the development of climate resilient cereals. The Hershberger Lab will support this project through the development of low cost, high(er)-throughput phenotyping of grain nutritional quality using spectroscopy-based methods.

2022

New germplasm
New germplasm

South Carolina Heirloom Butter Beans

Sweet Corn SCRI
Sweet Corn SCRI

The Hershberger lab joins SweetCAP The Sweet Corn Coordinated Agriculture Project (SweetCAP), is a USDA NIFA-funded, multi-institution and multi-disciplinary effort to support sweet corn improvement across the US. Earlier this year, a second iteration of SweetCAP was selected for funding through the Specialty Crop Research Initiative.

Welcome, Tyler
Welcome, Tyler!

Tyler Williams joins the lab as a Research Specialist

Butter beans!

It’s official - we have decided on our first crop! The Hershberger lab has started efforts towards building a butter bean (Phaseolus lunatus) breeding program. Butter beans, for those of you not from the Southern US, are also known as Lima beans.

Mobile spectrometer considerations

Maybe you’ve read about mobile spectrometers in the latest issue of your favorite journal, or maybe the lab down the hall can’t stop talking about them at the department coffee hour. Regardless of how you first heard about them, mobile near-infrared spectrometers can seem too good to be true. Can you really predict the quality of your grain, fruit, or root non-destructively and without investing in a benchtop spectrometer that costs more than a brand new car?

Welcome!

Welcome!

Cols

Text

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla facilisi etiam dignissim diam quis. Id aliquet lectus proin nibh nisl condimentum id venenatis a. Tristique magna sit amet purus gravida quis blandit turpis cursus. Ultrices eros in cursus turpis massa tincidunt dui ut ornare. A cras semper auctor neque vitae tempus quam pellentesque nec. At tellus at urna condimentum mattis pellentesque. Ipsum consequat nisl vel pretium. Ultrices mi tempus imperdiet nulla malesuada pellentesque elit eget gravida. Integer vitae justo eget magna fermentum iaculis eu non diam. Mus mauris vitae ultricies leo integer malesuada nunc vel. Leo integer malesuada nunc vel risus. Ornare arcu odio ut sem nulla pharetra. Purus semper eget duis at tellus at urna condimentum. Enim neque volutpat ac tincidunt vitae semper quis lectus.

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Code

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