Jeanette H Lyerly

Works (12)

Updated: January 18th, 2025 05:01

2024 article

Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi-environment genomic prediction models incorporating spectral and thermal information

McBreen, J., Babar, M. A., Jarquin, D., Khan, N., Harrison, S., De Witt, N., … Van Sanford, D. A. (2024, November 19). PLANT GENOME, Vol. 11.

By: J. McBreen *, M. Babar *, D. Jarquin *, N. Khan *, S. Harrison*, N. De Witt *, M. Mergoum*, B. Lopez * ...

Sources: Web Of Science, NC State University Libraries
Added: December 2, 2024

2024 journal article

Soft Red Winter Wheat Elite Germplasm Screening and Evaluation for Stripe Rust in the US Southeast Region

AGRICULTURE-BASEL, 14(12).

By: E. Shakiba *, N. Dewitt*, A. Babar *, R. Boyles *, M. Mergoum *, R. Sutton*, J. Lyerly n, P. Murphy  n, S. Harrison *

author keywords: screening; soft red winter wheat; stripe rust; linear mixed mode; generalized estimating equations; resistance; susceptible; infection rate
Source: Web Of Science
Added: January 13, 2025

2023 article

Approaching 25 years of progress towards Fusarium head blight resistance in southern soft red winter wheat (Triticum aestivum L.)

Boyles, R. E., Ballen-Taborda, C., Brown-Guedira, G., Costa, J., Cowger, C., DeWitt, N., … Winn, Z. J. (2023, August 10). PLANT BREEDING, Vol. 8.

By: R. Boyles *, C. Ballen-Taborda *, G. Brown-Guedira* , J. Costa *, C. Cowger* , N. DeWitt*, C. Griffey *, S. Harrison * ...

author keywords: breeding; Fusarium; genomics; prediction; resistance; wheat
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 21, 2023

2023 journal article

Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill in the southeastern United States

JOURNAL OF EXPERIMENTAL BOTANY, 74(21), 6749–6759.

By: N. DeWitt*, J. Lyerly n, M. Guedira n, J. Holland n , J. Murphy n, B. Ward*, R. Boyles *, M. Mergoum* ...

Ed(s): S. Dreisigacker

author keywords: Awns; abiotic stress; gxe; phenology; reaction norm; wheat
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 21, 2023

2023 article

HaploCatcher: An R package for prediction of haplotypes

Winn, Z. J., Hudson-Arns, E., Hammers, M., DeWitt, N., Lyerly, J., Bai, G., … Mason, R. E. (2023, November 15). PLANT GENOME.

By: Z. Winn*, E. Hudson-Arns*, M. Hammers *, N. DeWitt*, J. Lyerly n, G. Bai *, P. St. Amand *, P. Nachappa *, S. Haley *, R. Mason*

UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: November 27, 2023

2023 article

Mapping of a novel major effect Hessian fly field partial-resistance locus in southern soft red winter wheat line LA03136E71 (vol 134, pg 3911, 2021)

Winn, Z. J., Acharya, R., Merrill, K., Lyerly, J., Brown-Guedira, G., Cambron, S., … Murphy, J. P. (2023, April). THEORETICAL AND APPLIED GENETICS, Vol. 136.

By: Z. Winn n, R. Acharya  n, K. Merrill n, J. Lyerly n, G. Brown-Guedira n , S. Cambron*, S. Harrison*, D. Reisig n , J. Murphy n

UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: February 19, 2024

2023 article

Utilization of a publicly available diversity panel in genomic prediction of Fusarium head blight resistance traits in wheat

Winn, Z. J. J., Lyerly, J. H. H., Brown-Guedira, G., Murphy, J. P. P., & Mason, R. E. (2023, May 17). PLANT GENOME, Vol. 5.

By: Z. Winn n, J. Lyerly n, G. Brown-Guedira n , J. Murphy n & R. Mason*

TL;DR: Results indicated that selecting environments based on check performance may produce higher forward prediction accuracies, and may be used as a model to create a public resource for genomic prediction of FHB resistance traits across public wheat breeding programs. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2022 article

Profiling of Fusarium head blight resistance QTL haplotypes through molecular markers, genotyping-by-sequencing, and machine learning

Winn, Z. J., Lyerly, J., Ward, B., Brown-Guedira, G., Boyles, R. E., Mergoum, M., … Murphy, J. P. (2022, July 24). THEORETICAL AND APPLIED GENETICS, Vol. 7.

By: Z. Winn n, J. Lyerly n, B. Ward*, G. Brown-Guedira* , R. Boyles *, M. Mergoum *, J. Johnson*, S. Harrison * ...

MeSH headings : Chromosome Mapping; Disease Resistance / genetics; Fusarium; Genotype; Haplotypes; Humans; Machine Learning; Plant Breeding; Plant Diseases / genetics; Quantitative Trait Loci
TL;DR: This research investigated whether QTL haplotypes can be accurately predicted using SNPs derived by genotyping-by-sequencing (GBS) and indicated that machine learning may be utilized in breeding programs to accurately predict QTL Haplotypes in earlier generations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 8, 2022

2022 journal article

Utilizing genomics and historical data to optimize gene pools for new breeding programs: A case study in winter wheat

FRONTIERS IN GENETICS, 13.

By: C. Ballen-Taborda *, J. Lyerly n, J. Smith*, K. Howell*, G. Brown-Guedira n , M. Babar *, S. Harrison *, R. Mason* ...

author keywords: breeding; winter wheat (Triticum aestivum L.); historical data; training populations; genomic selection; prediction accuracy; yield
TL;DR: This study highlights the importance of genomics-enabled breeding and multi-institutional partnerships to accelerate cultivar development and best practices to leverage and tailor existing genomic and phenotypic resources to determine optimal genetics for a specific target population of environments. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: November 7, 2022

2021 article

Mapping of a novel major effect Hessian fly field partial-resistance locus in southern soft red winter wheat line LA03136E71

Winn, Z. J., Acharya, R., Merrill, K., Lyerly, J., Brown-Guedira, G., Cambron, S., … Murphy, J. P. (2021, August 10). THEORETICAL AND APPLIED GENETICS, Vol. 8.

By: Z. Winn n, R. Acharya  n, K. Merrill n, J. Lyerly n, G. Brown-Guedira n , S. Cambron*, S. Harrison*, D. Reisig n , J. Murphy n

MeSH headings : Animals; Chromosome Mapping; Diptera; Genetic Linkage; Genotype; Herbivory; Larva; Models, Genetic; North Carolina; Phenotype; Plant Breeding; Quantitative Trait Loci; Triticum / genetics
TL;DR: It is shown that field resistance is evident and controlled by a single locus on chromosome 7D, and a novel Hessian fly partial-resistance QTL is termed QHft.nc-7D. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 23, 2021

2021 article

Optical sorter-augmented genomic selection lowers deoxynivalenol accumulation in wheat

Carmack, W. J., Clark, A. J., Lyerly, H. J., Dong, Y., Brown-Guedira, G., & Van Sanford, D. A. (2021, June 26). CROP SCIENCE, Vol. 6.

By: W. Carmack *, A. Clark *, H. Lyerly n, Y. Dong *, G. Brown-Guedira*  & D. Van Sanford *

Sources: Web Of Science, NC State University Libraries
Added: July 12, 2021

2020 journal article

Training Population Design With the Use of Regional Fusarium Head Blight Nurseries to Predict Independent Breeding Lines for FHB Traits

FRONTIERS IN PLANT SCIENCE, 11.

By: V. Verges *, J. Lyerly n, Y. Dong * & D. Van Sanford *

author keywords: genomic selection; Fusariumhead blight; training population; DON content; disease resistance; prediction accuracy
TL;DR: The results confirm the usefulness of regional nurseries as a source of lines to predict GEBVs for local breeding programs, and shows that an index that includes DON, together with FDK and FHB rating could be an excellent choice to identify lines with low DON content and an overall improved FHB resistance. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 24, 2020

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