Works (185)

Updated: April 3rd, 2024 19:48

2024 article

Phenotypic characterization of Southeastern United States open-pollinated maize landraces

Woore, M. S., Flint-Garcia, S. A., & Holland, J. B. (2024, February 15). CROP SCIENCE, Vol. 2.

By: M. Woore n, S. Flint-Garcia & J. Holland n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 16, 2024

2023 journal article

2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project

BMC GENOMIC DATA, 24(1).

author keywords: Maize; Genotype by environment; Phenotype; Variable environments; Grain yield
MeSH headings : Phenotype; Zea mays / genetics; Seasons; Genotype; Genome, Plant / genetics
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 26, 2023

2023 article

2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative

Lima, D. C., Aviles, A. C., Alpers, R. T., Perkins, A., Schoemaker, D. L., Costa, M., … Leon, N. (2023, September 14). BMC RESEARCH NOTES, Vol. 16.

author keywords: Maize; Genotype by Environment; Grain Yield; Stability; Prediction
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: October 23, 2023

2023 article

Bearded or smooth? Awns improve yield when wheat experiences heat stress during grain fill

DeWitt, N., Lyerly, J., Guedira, M., Holland, J. B., Ward, B. P., Murphy, J. P., … Brown-Guedira, G. (2023, March 1).

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: ORCID
Added: March 4, 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 Goal Categories
13. Climate Action (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 21, 2023

2023 article

Characterization of a Host-Specific Toxic Activity Produced by Bipolaris cookei, Causal Agent of Target Leaf Spot of Sorghum

Samira, R., Lopez, L. F. S., Holland, J., & Balint-Kurti, P. J. (2023, January 16). PHYTOPATHOLOGY, Vol. 1.

By: R. Samira, L. Lopez, J. Holland & P. Balint-Kurti

author keywords: fungal pathogens; genetics; host-parasite interactions; pathogen effectors
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: September 18, 2023

2023 journal article

Characterization of a host-specific toxic activity produced by Bipolaris cookei, causal agent of Target Leaf Spot of Sorghum

Phytopathology®, 113(7), 1301–1306.

By: R. Samira n, L. Samayoa n, J. Holland n & P. Balint-Kurti n

author keywords: fungal pathogens; genetics; host-parasite interactions; pathogen effectors
TL;DR: A significant correlation between high CF sensitivity and susceptibility to TLS is found, which suggests that the toxin produced in culture may play a role in the pathogenicity of the B. cookei in the field. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: July 31, 2023

2023 article

Enhancing adaptation of tropical maize to temperate environments using genomic selection

Choquette, N. E., Weldekidan, T., Brewer, J., Davis, S. B., Wisser, R. J., & Holland, J. B. (2023, June 27). (A. Lipka, Ed.). G3-GENES GENOMES GENETICS, Vol. 6.

By: N. Choquette n, T. Weldekidan*, J. Brewer*, S. Davis*, R. Wisser* & J. Holland n

Ed(s): A. Lipka

author keywords: exotic germplasm; genomic prediction; GenPred ‌; quantitative genetics; flowering time
TL;DR: Results suggest that genomic selection in a single off-season generation could increase genetic gains for flowering time by more than 50% compared to direct selection in summer seasons only, reducing the time required to change the population mean to an acceptably adapted floweringTime by about one-third to one-half. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 28, 2023

2023 article

Environment-specific selection alters flowering-time plasticity and results in pervasive pleiotropic responses in maize

Choquette, N. E., Holland, J. B., Weldekidan, T., Drouault, J., Leon, N., Flint-Garcia, S., … Wisser, R. J. (2023, February 25). NEW PHYTOLOGIST, Vol. 2.

author keywords: adaptation; experimental evolution; flowering time; GxE; parallel selection; photoperiod; plasticity; pleiotropy
MeSH headings : Flowers / genetics; Zea mays / genetics; Phenotype; Photoperiod
TL;DR: These findings show how phenotypic selection can rapidly shift the flowering phenology and plasticity of maize and demonstrate that selecting crops to local conditions can accelerate adaptation to climate change. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 26, 2023

2023 article

Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

Lima, D. C., Washburn, J. D., Varela, J. I., Chen, Q., Gage, J. L., Romay, M. C., … Leon, N. (2023, July 17). BMC RESEARCH NOTES, Vol. 16.

author keywords: Grain yield; Maize; Root mean squared error
MeSH headings : Phenotype; Zea mays / genetics; Genotype; Genome, Plant / genetics; Edible Grain / genetics
Sources: ORCID, Web Of Science, NC State University Libraries
Added: July 18, 2023

2023 article

Not so local: the population genetics of convergent adaptation in maize and teosinte

Tittes, S., Lorant, A., McGinty, S., Holland, J. B., Jesus Sánchez-González, J., Seetharam, A., … Ross-Ibarra, J. (2023, November 21).

Source: ORCID
Added: February 1, 2024

2023 article

Not so local: the population genetics of convergent adaptation in maize and teosinte

Tittes, S., Lorant, A., McGinty, S., Holland, J. B., Jesus Sánchez-González, J., Seetharam, A., … Ross-Ibarra, J. (2023, November 21).

Source: ORCID
Added: February 1, 2024

2023 article

Variability structure and heritability of germination timing in <i>Capsella bursa-pastoris</i> (L.) Medik. (Shepherd&apos;s purse)

Dobbs, A. M., Sousa-Ortega, C., Holland, J. B., Snyder, L. U., & Leon, R. G. (2023, December 9). WEED RESEARCH, Vol. 12.

By: A. Dobbs n, C. Sousa-Ortega n, J. Holland n, L. Snyder n & R. Leon n

author keywords: germination variability; interpopulation; intrapopulation; weed
TL;DR: Maintaining predominantly intrapopulation variability in germination timing appears to be important for long‐term fitness in this species. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 2, 2024

2022 article

Empirical comparison of genomic and phenotypic selection for resistance to Fusarium ear rot and fumonisin contamination in maize

Butoto, E. N., Brewer, J. C., & Holland, J. B. (2022, July 4). THEORETICAL AND APPLIED GENETICS, Vol. 7.

By: E. Butoto n, J. Brewer* & J. Holland*

MeSH headings : Fumonisins; Fusarium / physiology; Genomics / methods; Plant Breeding; Plant Diseases / genetics; Zea mays / genetics
TL;DR: Practical implementation of GS in individual small-scale breeding programs will require cheaper and faster genotyping methods, and such technological advances will present opportunities to significantly optimize selection and mating schemes for future GS efforts beyond what was able to achieve in this study. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: July 5, 2022

2022 journal article

Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data

G3-GENES GENOMES GENETICS, 12(2).

By: A. Rogers n & J. Holland n

Ed(s): A. Lipka

author keywords: genotype-by-environment interactions; multienvironment; genomic prediction; environmental covariates; dominance genetic variance; shared data resource
MeSH headings : Gene-Environment Interaction; Genome, Plant; Genomics; Genotype; Models, Genetic; Phenotype; Plant Breeding; Zea mays / genetics
TL;DR: Using genomic, yield trial, and environmental data on 1,918 unique hybrids evaluated in 59 environments from the maize Genomes to Fields project, it is determined that a set of 10,153 SNP dominance coefficients and a 5-day temporal window size for summarizing environmental variables were optimal for genomic prediction using only genetic and environmental main effects. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 8, 2022

2022 article

Genomic prediction for the Germplasm Enhancement of Maize project

Rogers, A. R., Bian, Y., Krakowsky, M., Peters, D., Turnbull, C., Nelson, P., & Holland, J. B. (2022, October 24). PLANT GENOME, Vol. 10.

By: A. Rogers n, Y. Bian*, M. Krakowsky n, D. Peters*, C. Turnbull*, P. Nelson*, J. Holland n

MeSH headings : Zea mays / genetics; Plant Breeding; Genomics; Alleles; Edible Grain / genetics
TL;DR: Based on observed genomic relationships between GEM breeding lines and their tropical ancestors, GS for either yield or moisture would reduce recovery of exotic germplasm only slightly, so using GS models trained within program should be able to more effectively deliver on its mission to broaden the genetic diversity of the U.S. maize crop. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 25, 2022

2022 journal article

Outlook for Implementation of Genomics-Based Selection in Public Cotton Breeding Programs

PLANTS-BASEL, 11(11).

author keywords: cotton breeding; GWAS; genomic prediction; fiber quality; cotton yield
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 31, 2022

2022 journal article

Prediction ability of genome-wide markers in Pinus taeda L. within and between population is affected by relatedness to the training population and trait genetic architecture

G3-GENES GENOMES GENETICS, 12(2).

By: E. Lauer n, J. Holland n & F. Isik n

Ed(s): A. Lipka

author keywords: QTL; loblolly pine; linkage disequilibrium; genomic relationships; cloned progeny tests; cross-validation; GBLUP; GWAS; Genomic Prediction; GenPred; Shared Data Resource
MeSH headings : Genome-Wide Association Study; Genotype; Linkage Disequilibrium; Models, Genetic; Phenotype; Pinus taeda / genetics; Plant Breeding; Polymorphism, Single Nucleotide
TL;DR: The rapid decay of linkage disequilibrium, large genome size, and inconsistencies in marker-QTL linkage phase suggest that large, diverse training populations are needed for genomic selection in Pinus taeda L. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: December 11, 2021

2022 article

Saving Genetic Diversity in Seed Banks

Holland, J. (2022, August 11).

Source: ORCID
Added: August 17, 2022

2022 article

The History of Maize

Holland, J. (2022, August 11).

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: ORCID
Added: August 17, 2022

2021 journal article

A conserved genetic architecture among populations of the maize progenitor, teosinte, was radically altered by domestication

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 118(43).

By: Q. Chen, L. Samayoa, C. Yang, B. Olukolu, A. York, J. Sanchez-Gonzalez, W. Xue, J. Glaubitz ...

author keywords: maize; teosinte; domestication; evolution; selection
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: December 13, 2021

2021 journal article

Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population

BMC GENOMICS, 22(1).

By: N. DeWitt n, M. Guedira n, E. Lauer n, J. Murphy n, D. Marshall*, M. Mergoum*, J. Johnson*, J. Holland n, G. Brown-Guedira n

author keywords: Triticum aestivum; QTL mapping; Genetic architecture; Genomic selection
MeSH headings : Chromosome Mapping; Genomics; Phenotype; Plant Breeding; Quantitative Trait Loci; Triticum / genetics
TL;DR: A biparental population segregating for major variants for both plant height and flowering time is developed to characterize the genetic architecture of the traits and identify additional novel QTL, and the oligogenic architecture of these traits is demonstrated by the superior trait prediction accuracy of QTL-based prediction models compared to polygenic genomic selection models. (via Semantic Scholar)
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: June 21, 2021

2021 article

Domestication Reshaped the Genetic Basis of Inbreeding Depression in a Maize Landrace Compared to its Wild Relative, Teosinte

Holland, J. B., Samayoa, L. F., Olukolu, B. A., Yang, C. J., Chen, Q., Stetter, M. G., … Doebley, J. F. (2021, September 2). BioRxiv, Vol. 9.

Source: ORCID
Added: September 3, 2021

2021 journal article

Domestication reshaped the genetic basis of inbreeding depression in a maize landrace compared to its wild relative, teosinte

PLOS GENETICS, 17(12).

Contributors: L. Samayoa n, B. Olukolu*, C. Yang*, Q. Chen*, M. Stetter*, A. York*, J. Jesus Sanchez-Gonzalez*, J. Glaubitz* ...

Ed(s): B. Walsh

MeSH headings : Domestication; Genes, Plant; Genetic Variation / genetics; Inbreeding Depression / genetics; Phenotype; Plant Breeding; Plant Proteins / genetics; Quantitative Trait Loci / genetics; Selection, Genetic / genetics; Zea mays / genetics; Zea mays / growth & development
TL;DR: This work compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte, and identified quantitative trait loci representing large-effect rare variants carried by only a single parent, which were more important in teOSinte than maize. (via Semantic Scholar)
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, ORCID
Added: February 28, 2022

2021 article

Drought resilience in CIMMYT maize lines adapted to Africa resulting from transpiration sensitivity to vapor pressure deficit and soil drying

Chiango, H., Jafarikouhini, N., Pradhan, D., Figueiredo, A., Silva, J., Sinclair, T. R., & Holland, J. (2021, August 5). JOURNAL OF CROP IMPROVEMENT, Vol. 8.

By: H. Chiango*, N. Jafarikouhini n, D. Pradhan n, A. Figueiredo*, J. Silva*, T. Sinclair n, J. Holland n

author keywords: Fraction transpirable soil water; limited transpiration; soil water; stomata; VPD chamber; water conservation
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 16, 2021

2021 article

Effects of artificial inoculation on trait correlations with resistance to Fusarium ear rot and fumonisin contamination in maize

Butoto, E. N., Marino, T. P., & Holland, J. B. (2021, June 18). CROP SCIENCE, Vol. 5.

By: E. Butoto n, T. Marino n & J. Holland n

Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 2, 2021

2021 journal article

Eleven biosynthetic genes explain the majority of natural variation in carotenoid levels in maize grain

PLANT CELL, 33(4), 882–900.

By: C. Diepenbrock*, D. Ilut*, M. Magallanes-Lundback*, C. Kandianis*, A. Lipka*, P. Bradbury*, J. Holland n, J. Hamilton* ...

MeSH headings : Carotenoids / metabolism; Epistasis, Genetic; Genetic Variation; Genome-Wide Association Study; Phenotype; Plant Proteins / genetics; Quantitative Trait Loci; Seeds / genetics; Seeds / metabolism; Zea mays / genetics; Zea mays / metabolism
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 2, 2021

2021 article

Not so local: the population genetics of convergent adaptation in maize and teosinte

Tittes, S., Lorant, A., McGinty, S., Holland, J. B., Jesus Sánchez-González, J., Seetharam, A., … Ross-Ibarra, J. (2021, September 10).

TL;DR: The results suggest local adaptation in maize and teosinte has an intermediate geographic scale, one that is larger than individual populations, but smaller than the species range. (via Semantic Scholar)
Source: ORCID
Added: September 11, 2021

2021 article

Registration of tropical populations of maize selected in parallel for early flowering time across the United States

Weldekidan, T., Manching, H., Choquette, N., Leon, N., Flint-Garcia, S., Holland, J., … Wisser, R. J. (2021, October 13). JOURNAL OF PLANT REGISTRATIONS, Vol. 10.

By: T. Weldekidan*, H. Manching*, N. Choquette n, N. Leon*, S. Flint-Garcia*, J. Holland n, N. Lauter*, S. Murray* ...

UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 17, 2021

2021 journal article

The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment

G3-GENES GENOMES GENETICS, 11(2).

By: A. Rogers n, J. Dunne n, C. Romay*, M. Bohn*, E. Buckler*, I. Ciampitti*, J. Edwards*, D. Ertl ...

author keywords: Genotype-by-environment interaction; multienvironment; environmental covariates; dominance genetic variance
MeSH headings : Gene-Environment Interaction; Genotype; Models, Genetic; Phenotype; Plant Breeding; Zea mays
TL;DR: To partition trait variation into additive and dominance (main effect) genetic and corresponding genetic- by-environment variances, and to identify specific environmental factors that influence genotype-by-environment interactions, curated and analyzed genotypic and phenotypic data on 1918 maize hybrids and environmental data from 65 testing environments. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 article

The potential to breed a low-protein maize for protein-restricted diets

Woore, M. S., Flint-Garcia, S. A., & Holland, J. B. (2021, September 19). CROP SCIENCE, Vol. 61.

By: M. Woore n, S. Flint-Garcia* & J. Holland*

UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: July 9, 2021

2021 journal article

Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project

FRONTIERS IN GENETICS, 11.

By: D. Jarquin*, N. Leon*, C. Romay*, M. Bohn*, E. Buckler*, I. Ciampitti*, J. Edwards*, D. Ertl ...

author keywords: genotype-by-environment interaction (G&#215; E); Genomes to Fields (G2F) initiative; general combining ability (GCA); specific combining ability (SCA); hybrid prediction; genomic prediction
TL;DR: Predictive ability was not improved through inclusion of naive environmental covariates in G×E models, and more research should be conducted to link the observed weather conditions with important physiological aspects in plant development to improve predictive ability through the inclusion of weather data. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 29, 2021

2020 journal article

A Genome-Wide Association Study To Understand the Effect of Fusarium verticillioides Infection on Seedlings of a Maize Diversity Panel

G3-GENES GENOMES GENETICS, 10(5), 1685–1696.

By: L. Stagnati*, V. Rahjoo*, L. Samayoa n, J. Holland*, V. Borrelli*, M. Busconi*, A. Lanubile*, A. Marocco*

Contributors: L. Stagnati*, V. Rahjoo*, L. Samayoa n, J. Holland*, V. Borrelli*, M. Busconi*, A. Lanubile*, A. Marocco*

author keywords: GWAS; SNPs; Artificial inoculation; Fusarium verticillioides; Maize
MeSH headings : Fusarium; Genome-Wide Association Study; Plant Diseases / genetics; Seedlings / genetics; Zea mays / genetics
TL;DR: Genome Wide Association Study of traits related to Fusarium seedling rot was carried out and linkage disequilibrium analysis revealed an additional gene not directly observed by GWAS analysis, which could aid to better understand the complex interaction between maize and F. verticillioides. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 1, 2020

2020 journal article

Association mapping and genomic prediction for ear rot disease caused by Fusarium verticillioides in a tropical maize germplasm

CROP SCIENCE, 60(6), 2867–2881.

By: M. Kuki*, R. Barth Pinto*, F. Bengosi Bertagna*, D. Tessmann*, A. Amaral Junior, C. Scapim*, J. Holland n

UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: December 8, 2020

2020 journal article

Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize

GENETICS, 215(1), 215–230.

By: G. Ramstein*, S. Larsson*, J. Cook*, J. Edwards*, E. Ersoz*, S. Flint-Garcia*, C. Gardner*, J. Holland n ...

Contributors: G. Ramstein*, S. Larsson*, J. Cook*, J. Edwards*, E. Ersoz*, S. Flint-Garcia*, C. Gardner*, J. Holland n ...

author keywords: dominance; genomic features; functional enrichment; genomic prediction; hybrid maize
MeSH headings : Edible Grain / genetics; Edible Grain / growth & development; Epistasis, Genetic; Evolution, Molecular; Gene-Environment Interaction; Genes, Dominant; Hybridization, Genetic; Models, Genetic; Plant Breeding / methods; Quantitative Trait, Heritable; Zea mays / genetics; Zea mays / growth & development
TL;DR: This study investigates the relevance of dominance and functional classes of variants in genomic models for agronomic traits in diverse populations of hybrid maize and suggests that dominance and gene annotations improve genomic prediction across diverse populations in hybrid maize. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: June 1, 2020

2020 article

Eleven biosynthetic genes explain the majority of natural variation for carotenoid levels in maize grain

Diepenbrock, C. H., Ilut, D. C., Magallanes-Lundback, M., Kandianis, C. B., Lipka, A. E., Bradbury, P. J., … DellaPenna, D. (2020, July 15). (Vol. 7). Vol. 7.

By: C. Diepenbrock*, D. Ilut*, M. Magallanes-Lundback*, C. Kandianis*, A. Lipka*, P. Bradbury*, J. Holland n, J. Hamilton* ...

TL;DR: The joint linkage and genome-wide association study in the U.S. maize nested association mapping panel provides the most comprehensive genome-level understanding of the genetic and molecular control of carotenoids in any plant system, and a roadmap to accelerate breeding for provitamin A and other priorityCarotenoid traits in maize grain that should be readily extensible to other cereals. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: ORCID
Added: January 14, 2021

2020 article

Genetic variation for plant growth traits in a common wheat population is dominated by known variants and novel QTL

DeWitt, N., Guedira, M., Lauer, E., Murphy, J. P., Marshall, D., Mergoum, M., … Brown-Guedira, G. (2020, December 16).

By: N. DeWitt n, M. Guedira n, E. Lauer n, J. Murphy n, D. Marshall*, M. Mergoum*, J. Johnson*, J. Holland n, G. Brown-Guedira n

TL;DR: A biparental population segregating for major variants for both plant height and flowering time is developed to characterize the genetic architecture of the traits and identify additional novel QTL, and the oligogenic architecture of these traits is demonstrated by the superior trait prediction accuracy of QTL-based prediction models compared to polygenic genomic selection models. (via Semantic Scholar)
Source: ORCID
Added: March 4, 2023

2020 journal article

Genetic variation for response to mixed triazole and strobilurin application in diverse maize

Agrosystems, Geosciences & Environment, 3(1).

By: M. Woore n & J. Holland*

Source: ORCID
Added: December 8, 2020

2020 journal article

Genome-wide association analysis of the strength of the MAMP-elicited defense response and resistance to target leaf spot in sorghum

Scientific Reports, 10(1).

MeSH headings : Bipolaris; Chitin / immunology; Disease Resistance / genetics; Flagellin / immunology; Genome-Wide Association Study; Pathogen-Associated Molecular Pattern Molecules; Plant Diseases / immunology; Plant Diseases / microbiology; Pseudomonas syringae; Sorghum / genetics; Sorghum / immunology; Sorghum / microbiology
TL;DR: Assessment of variation in the MAMP response in sorghum, to map loci associated with this variation, and to investigate possible connections with variation in quantitative disease resistance found one strong association on chromosome 5 near a previously characterized disease resistance gene. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: January 9, 2021

2020 journal article

Genomic prediction for resistance to Fusarium ear rot and fumonisin contamination in maize

CROP SCIENCE, 60(4), 1863–1875.

By: J. Holland n, T. Marino n, H. Manching* & R. Wisser*

Contributors: J. Holland n, T. Marino n, H. Manching* & R. Wisser*

Sources: ORCID, Web Of Science, NC State University Libraries
Added: December 8, 2020

2020 journal article

Heterosis of leaf and rhizosphere microbiomes in field‐grown maize

New Phytologist, 228(3), 1055–1069.

By: M. Wagner*, J. Roberts n, P. Balint‐Kurti n & J. Holland n

Contributors: M. Wagner*, J. Roberts n, P. Balint-Kurti n & J. Holland n

author keywords: heterosis; hybridization; maize; microbiome; phyllosphere; rhizosphere
MeSH headings : Hybrid Vigor / genetics; Microbiota / genetics; Plant Leaves / genetics; Rhizosphere; Zea mays / genetics
TL;DR: The hypothesis that at least some heterotic host traits affect microbiome composition in maize is supported, as a wide range of microbiome features display heterosis within individual crosses, consistent with patterns for non-microbial maize phenotypes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: ORCID, Crossref, NC State University Libraries
Added: July 13, 2020

2020 journal article

Maize genomes to fields (G2F): 2014-2017 field seasons: Genotype, phenotype, climatic, soil, and inbred ear image datasets

BMC Research Notes, 13(1).

By: B. McFarland*, N. Alkhalifah*, M. Bohn*, J. Bubert*, E. Buckler*, I. Ciampitti*, J. Edwards, D. Ertl* ...

Contributors: B. McFarland*, N. Alkhalifah*, M. Bohn*, J. Bubert*, E. Buckler*, I. Ciampitti*, J. Edwards, D. Ertl* ...

author keywords: Maize; Genome; Genotype; GBS; G x E; Hybrid; Inbred; Phenotype; Environment; Field metadata
MeSH headings : Datasets as Topic; Genome, Plant / genetics; Genotype; Phenotype; Plant Breeding; Zea mays / genetics
TL;DR: This report covers the public release of datasets for 2014–2017, which generated large-scale phenotypic, genotypes, and environmental datasets using publicly available inbred lines and hybrids evaluated through a network of collaborators that are part of the G2F's genotype-by-environment (G × E) project. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: ORCID
Added: December 8, 2020

2020 journal article

Relative utility of agronomic, phenological, and morphological traits for assessing genotype-by-environment interaction in maize inbreds

Crop Science, 60(1), 62–81.

By: C. Falcon*, S. Kaeppler*, E. Spalding*, N. Miller*, N. Haase*, N. AlKhalifah*, M. Bohn*, E. Buckler* ...

Contributors: C. Falcon*, S. Kaeppler*, E. Spalding*, N. Miller*, N. Haase*, N. AlKhalifah*, M. Bohn*, E. Buckler* ...

TL;DR: This is a list of winners and runners-up from the 2016-17 school year in the United States, as well as highlights of the winners and finalists from the 2015-16 school year. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
10. Reduced Inequalities (OpenAlex)
13. Climate Action (Web of Science)
Source: ORCID
Added: December 8, 2020

2020 journal article

The genetic architecture of the maize progenitor, teosinte, and how it was altered during maize domestication

PLOS GENETICS, 16(5).

By: Q. Chen*, L. Samayoa n, C. Yang*, P. Bradbury*, B. Olukolu*, M. Neumeyer*, M. Romay*, Q. Sun* ...

Contributors: Q. Chen*, L. Samayoa n, C. Yang*, P. Bradbury*, B. Olukolu*, M. Neumeyer*, M. Romay*, Q. Sun* ...

Ed(s): R. Mauricio

MeSH headings : Domestication; Gene Flow; Gene Frequency; Genes, Plant; Genetic Variation; Genetics, Population; Quantitative Trait Loci; Quantitative Trait, Heritable; Selection, Genetic; Zea mays / classification; Zea mays / genetics
TL;DR: A strongly reduced number of QTL for domestication traits in maize relative to teosinte is observed, consistent with the previously reported depletion of additive variance by selection during domestication, and genomic regions of high recombination explain a disproportionately large proportion of heritable variance both before and after domestication. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: June 22, 2020

2019 journal article

A Genome Wide Association Study Reveals Markers and Genes Associated with Resistance to Fusarium verticillioides Infection of Seedlings in a Maize Diversity Panel

G3-GENES GENOMES GENETICS, 9(2), 571–579.

Contributors: L. Stagnati*, A. Lanubile*, L. Samayoa n, M. Bragalanti*, P. Giorni*, M. Busconi*, J. Holland n, A. Marocco*

author keywords: Fusarium verticillioides; resistance to seedling disease; Genome Wide Association Studies; Maize; Rolled Towel Assay; SNPs
MeSH headings : Disease Resistance / genetics; Fusarium / pathogenicity; Genes, Plant; Genome-Wide Association Study; Linkage Disequilibrium; Polymorphism, Single Nucleotide; Seedlings / genetics; Seedlings / microbiology; Zea mays / genetics; Zea mays / microbiology
TL;DR: Functional analysis revealed that many of these genes are directly involved in plant defense against pathogens and stress responses, including transcription factors, chitinase, cytochrome P450, and ubiquitination proteins, and 25 genes were found in high linkage disequilibrium with the associated SNPs identified by GWAS and four of them direct involved in disease resistance. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 20, 2020

2019 journal article

Diverse Components of Resistance to Fusarium verticillioides Infection and Fumonisin Contamination in Four Maize Recombinant Inbred Families

TOXINS, 11(2).

By: L. Morales*, C. Zila n, D. Mejia*, M. Arbelaez*, P. Balint-Kurti n, J. Holland n, R. Nelson*

Contributors: L. Morales*, C. Zila n, D. Mejía*, M. Arbelaez*, P. Balint-Kurti n, J. Holland n, R. Nelson*

author keywords: maize; mycotoxins; fumonisin; disease resistance; morphology
MeSH headings : Disease Resistance / genetics; Fumonisins; Fusarium; Genotype; Phenotype; Plant Diseases / microbiology; Quantitative Trait Loci; Zea mays / genetics; Zea mays / microbiology
TL;DR: Four recombinant inbred line families from the maize nested associated mapping population were grown and inoculated with F. verticillioides across four environments, and kernels for external and internal infection severity as well as FUM contamination were evaluated. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 25, 2019

2019 journal article

Genomic-Wide Association Study of Popping Expansion in Tropical Popcorn and Field Corn Germplasm

CROP SCIENCE, 59(5), 2007–2019.

By: H. Camargo Senhorinho*, M. Dacal Coan*, T. Marino n, M. Kuki*, R. Barth Pinto*, C. Scapim*, J. Holland n

Contributors: H. Senhorinho*, M. Coan*, T. Marino n, M. Kuki*, R. Pinto*, C. Scapim*, J. Holland n

TL;DR: Single nucleotide polymorphism (SNP) markers and putative candidate genes associated with higher popping expansion in a diverse sample of popcorn and field corns relevant to Brazilian breeding programs are identified. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 30, 2019

2019 journal article

Optimal Designs for Genomic Selection in Hybrid Crops

MOLECULAR PLANT, 12(3), 390–401.

By: T. Guo*, X. Yu*, X. Li*, H. Zhang*, C. Zhu*, S. Flint-Garcia*, M. McMullen*, J. Holland n ...

Contributors: T. Guo*, X. Yu*, X. Li*, H. Zhang*, C. Zhu*, S. Flint-Garcia*, M. McMullen*, J. Holland n, R. Wisser*, J. Yu*

author keywords: data mining; molecular breeding; genomic relationship; genomic selection; optimal design
MeSH headings : Crops, Agricultural / genetics; Crops, Agricultural / growth & development; Genomics / methods; Genotype; Hybridization, Genetic; Inbreeding; Oryza / genetics; Oryza / growth & development; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide; Triticum / genetics; Triticum / growth & development; Zea mays / genetics; Zea mays / growth & development
TL;DR: It is demonstrated that effective genomic prediction models can be established with a training set 2%-13% of the size of the whole set, enabling an efficient exploration of enormous inference space of genetic combinations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 18, 2019

2019 journal article

The Genomic Basis for Short-Term Evolution of Environmental Adaptation in Maize

GENETICS, 213(4), 1479–1494.

By: R. Wisser*, Z. Fang n, J. Holland n, J. Teixeira*, J. Dougherty*, T. Weldekidan*, N. Leon*, S. Flint-Garcia* ...

Contributors: R. Wisser*, Z. Fang n, J. Holland n, J. Teixeira*, J. Dougherty*, T. Weldekidan*, N. De Leon*, S. Flint-Garcia* ...

author keywords: recurrent selection; flowering time; genetic diversity; plant breeding; agriculture; climate change
MeSH headings : Adaptation, Physiological / genetics; Chromosome Mapping; Chromosomes, Plant / genetics; Environment; Flowers / genetics; Founder Effect; Gene Frequency / genetics; Genes, Plant; Genetic Variation; Genetics, Population; Genome, Plant; Genomics; Haplotypes / genetics; Phenomics; Phenotype; Selection, Genetic; Time Factors; Zea mays / genetics; Zea mays / physiology
TL;DR: The results reveal the evolutionary dynamics of a finite polygenic architecture conditioning a capacity for rapid environmental adaptation in maize. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 30, 2019

2019 journal article

The genetic architecture of teosinte catalyzed and constrained maize domestication

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 116(12), 5643–5652.

By: C. Yang*, L. Samayoa n, P. Bradbury*, B. Olukolu*, W. Xue*, A. York*, M. Tuholski*, W. Wang* ...

Contributors: C. Yang*, L. Samayoa n, P. Bradbury*, B. Olukolu*, W. Xue*, A. York*, M. Tuholski*, W. Wang* ...

MeSH headings : Agriculture; Chromosome Mapping / methods; Chromosomes, Plant / physiology; Domestication; Edible Grain / genetics; Evolution, Molecular; Genetics, Population / methods; Genomics; Phenotype; Plant Proteins / genetics; Quantitative Trait Loci; Selection, Genetic / genetics; Zea mays / genetics
TL;DR: A strong, nonneutral divergence is identified between teosinte and maize landrace genetic variance–covariance matrices (G-matrices), which indicates that the degree of constraint is more unfavorable for further evolution along the same trajectory. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: April 2, 2019

2019 journal article

Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel

THEORETICAL AND APPLIED GENETICS, 132(4), 1247–1261.

By: J. Sarinelli n, J. Murphy n, P. Tyagi n, J. Holland n, J. Johnson*, M. Mergoum*, R. Mason*, A. Babar* ...

Contributors: J. Sarinelli n, J. Murphy n, P. Tyagi n, J. Holland n, J. Johnson*, M. Mergoum*, R. Mason*, A. Babar* ...

MeSH headings : Alleles; Genetic Markers; Genetics, Population; Genomics; Genotype; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide / genetics; Principal Component Analysis; Seasons; Selection, Genetic; Triticum / genetics
TL;DR: The utility of combining unbalanced phenotypic records with genome-wide SNP marker data for predicting the performance of untested genotypes is demonstrated, with the greatest gains coming from combinations of multiple genes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 22, 2019

2019 journal article

Validation and Characterization of Maize Multiple Disease Resistance QTL

G3 Genes|Genomes|Genetics, 9(9), 2905–2912.

By: L. Martins n, E. Rucker*, W. Thomason*, R. Wisser*, J. Holland n & P. Balint-Kurti n

Contributors: L. Martins n, E. Rucker*, W. Thomason*, R. Wisser*, J. Holland n & P. Balint-Kurti n

author keywords: Disease; Maize; QTL; Resistance; Genetics of Immunity
MeSH headings : Ascomycota / pathogenicity; Disease Resistance / genetics; Genetic Markers; Plant Diseases / genetics; Plant Diseases / microbiology; Quantitative Trait Loci; Zea mays / genetics; Zea mays / microbiology
TL;DR: The goal of this study was to perform an independent test of several of the MDR QTL identified to confirm their existence and derive a more precise estimate of allele additive and dominance effects and demonstrates the importance of independently evaluating QTL effects following their initial identification. (via Semantic Scholar)
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, ORCID, NC State University Libraries, Crossref
Added: September 23, 2019

2018 journal article

Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat

G3-GENES GENOMES GENETICS, 8(6), 1909–1919.

Contributors: B. Ovenden*, A. Milgate*, L. Wade*, G. Rebetzke* & J. Holland n

author keywords: Genomic Selection; residual genetic variation; genotype-by-environment interaction; factor analytic model; relative accuracy; GenPred; Shared Data Resources
MeSH headings : Breeding; Carbohydrates / analysis; Databases, Genetic; Gene-Environment Interaction; Genetic Variation; Genome, Plant; Genotype; Inheritance Patterns / genetics; Models, Genetic; Reproducibility of Results; Selection, Genetic; Solubility; Triticum / genetics; Water / chemistry
TL;DR: This study evaluated the potential of genomic selection to predict water-soluble carbohydrate concentration (WSCC) in wheat under field conditions and found that GEBVs were not accurate predictors of genotypic values of the extant lines, but should be reliable selection criteria to choose parents for intermating to produce new populations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2018 journal article

Defining the Role of the MADS-Box Gene, Zea Agamous-like1, a Target of Selection During Maize Domestication

JOURNAL OF HEREDITY, 109(3), 333–338.

By: D. Wills*, Z. Fang n, A. York*, J. Holland n & J. Doebley*

Contributors: D. Wills*, Z. Fang n, A. York*, J. Holland n & J. Doebley*

author keywords: flowering time; kernel row number; selection scan
MeSH headings : Alleles; Amino Acid Substitution; Domestication; Flowers / genetics; MADS Domain Proteins / genetics; Models, Genetic; Plant Proteins / genetics; Selection, Genetic; Zea mays / genetics; Zea mays / physiology
TL;DR: The results suggest that zagl1 may have been under selection during domestication to increase the size of the maize ear with the maize allele conferring larger ears with more kernels. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2018 journal article

Dissecting Symptomatology and Fumonisin Contamination Produced by Fusarium verticillioides in Maize Ears

PHYTOPATHOLOGY, 108(12), 1475–1485.

By: L. Morales n, T. Marino n, A. Wenndt n, J. Fouts n, J. Holland n & R. Nelson n

Contributors: L. Morales n, T. Marino n, A. Wenndt n, J. Fouts n, J. Holland n & R. Nelson n

MeSH headings : Fumonisins / analysis; Fusarium / chemistry; Genotype; Plant Diseases / microbiology; Seeds / microbiology; Zea mays / microbiology
TL;DR: This work demonstrates that the use of diverse modes of inoculation is necessary for combining complementary mechanisms of genetic resistance, kernel bulk density can be used effectively as a proxy for fumonisin levels, and trade-offs may exist between yield potential and resistance to fumolisin contamination. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 10, 2018

2018 journal article

Ecogeography of teosinte

PLOS ONE, 13(2).

By: J. Sanchez Gonzalez*, J. Ruiz Corral*, G. Medina Garcia*, G. Ramirez Ojeda*, L. Cruz Larios*, J. Holland n, R. Miranda Medrano*, G. Garcia Romero*

Contributors: J. De Jesús Sánchez González*, J. Corral*, G. García*, G. Ojeda*, L. De La Cruz Larios*, J. Holland n, R. Medrano*, G. Romero*

MeSH headings : Ecosystem; Geography; Species Specificity; Zea mays / classification
TL;DR: Modelling teosinte geographic distribution demonstrated congruence between actual and potential distributions; however, some areas with no occurrences appear to be within the range of adaptation of Teosintes, and field surveys should be prioritized to such regions to accelerate the discovery of unknown populations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2018 chapter

Harnessing Maize Biodiversity

In Compendium of Plant Genomes.

James Holland

TL;DR: This chapter summarizes decades of studies of the genetic diversity of maize populations from different parts of the world, methods used to group maize into informal hierarchies, and how these groupings partition genetic and trait variation. (via Semantic Scholar)
Source: ORCID
Added: December 8, 2020

2018 journal article

Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets

BMC Research Notes, 11(1).

By: N. Alkhalifah*, D. Campbell*, C. Falcon*, J. Gardiner*, N. Miller*, M. Romay*, R. Walls*, R. Walton* ...

Contributors: N. Alkhalifah*, D. Campbell*, C. Falcon*, J. Gardiner*, N. Miller*, M. Romay*, R. Walls*, R. Walton* ...

MeSH headings : Datasets as Topic; Environment; Genome, Plant; Genotype; Inbreeding; Phenotype; Plant Breeding; Seasons; Sequence Analysis, DNA; Zea mays / genetics
TL;DR: The maize Genomes to Fields (G2F) Initiative is a multi-institutional organization of scientists working to generate and analyze such datasets from existing, publicly available inbred lines and hybrids to help improve crop improvement. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: ORCID
Added: December 8, 2020

2018 article

Plant Genetics: Two Steps on the Path to Maize Adaptation

Holland, J. B. (2018, September 24). CURRENT BIOLOGY, Vol. 28, pp. R1098–R1101.

By: J. Holland n

Contributors: J. Holland n

MeSH headings : Acclimatization; Adaptation, Physiological; Flowers; North America; Zea mays
TL;DR: Two distinct variations in the promoter of a key flowering time gene were selected during the spread of maize from its tropical origin to northern North America. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: October 16, 2018

2017 journal article

Enhancing genomic prediction with genome-wide association studies in multiparental maize populations

HEREDITY, 118(6), 585–593.

By: Y. Bian n & J. Holland n

Contributors: Y. Bian n & J. Holland n

MeSH headings : Computer Simulation; Genetic Association Studies; Genetics, Population; Genomics / methods; Genotype; Models, Genetic; Multifactorial Inheritance; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Zea mays / genetics
TL;DR: The approach provides a new integrative modeling approach for both reliable gene discovery and robust GP that includes the fixed effects of the most significantly associated SNPs along with the polygenic background for moderately complex but not highly polygenic traits measured in the maize nested association mapping population. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 book

Genetic Data Analysis for Plant and Animal Breeding

By: F. Isik n, J. Holland n & C. Maltecca n

TL;DR: This chapter introduces ASReml stand alone and a brief introduction to AsReml-R in this chapter, which is flexible to fit complex variance structures in mixed models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: February 9, 2019

2017 journal article

Genome-Wide Associations for Water-Soluble Carbohydrate Concentration and Relative Maturity in Wheat Using SNP and DArT Marker Arrays

G3-GENES GENOMES GENETICS, 7(8), 2821–2830.

Contributors: B. Ovenden*, A. Milgate*, L. Wade*, G. Rebetzke* & J. Holland n

author keywords: water-soluble carbohydrates; nonstructural carbohydrates; association analysis; genotype-by-environment interaction; molecular marker
MeSH headings : Carbohydrates / analysis; Gene Frequency / genetics; Gene-Environment Interaction; Genetic Markers; Genome-Wide Association Study; Linkage Disequilibrium / genetics; Polymorphism, Single Nucleotide / genetics; Principal Component Analysis; Solubility; Triticum / genetics; Water / chemistry
TL;DR: This study uses genome wide association studies (GWAS) to identify candidate loci for water-soluble carbohydrate accumulation—an important drought-avoidance characteristic in wheat—and the markers associated with carbohydrate accumulation may be useful for marker-assisted selection of drought tolerance in wheat. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

Genomic estimation of complex traits reveals ancient maize adaptation to temperate North America

SCIENCE, 357(6350), 512–515.

By: K. Swarts*, R. Gutaker*, B. Benz*, M. Blake*, R. Bukowski*, J. Holland n, M. Kruse-Peeples, N. Lepak* ...

Contributors: K. Swarts*, R. Gutaker*, B. Benz*, M. Blake*, R. Bukowski*, J. Holland n, M. Kruse-Peeples, N. Lepak* ...

MeSH headings : Acclimatization / genetics; Cold Temperature; Flowers / genetics; Flowers / physiology; Genome, Plant; Genomics; Multifactorial Inheritance; North America; Phenotype; Zea mays / genetics; Zea mays / physiology
TL;DR: Indirectly validated genomic models predicted that Turkey Pen maize was marginally adapted with respect to flowering, as well as short, tillering, and segregating for yellow kernel color, a characteristic of modern temperate maize. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

High-Throughput Resequencing of Maize Landraces at Genomic Regions Associated with Flowering Time

PLOS ONE, 12(1).

By: T. Jamann*, S. Sood*, R. Wisser* & J. Holland n

Contributors: T. Jamann*, S. Sood*, R. Wisser* & J. Holland n

MeSH headings : Algorithms; Chromosome Mapping; Computational Biology; Flowers / physiology; Genes, Plant; Genomics; Genotype; Heterozygote; High-Throughput Nucleotide Sequencing; Polymerase Chain Reaction; Polymorphism, Single Nucleotide; Sequence Analysis, DNA; Zea mays / genetics; Zea mays / physiology
TL;DR: Enrichment of target genome regions coupled with next generation sequencing is a cost-effective strategy to obtain sequence information for loci of interest across many individuals, providing a less expensive approach to evaluating sequence variation at the population scale. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

Modifications to a LATE MERISTEM IDENTITY1 gene are responsible for the major leaf shapes of Upland cotton (Gossypium hirsutum L.)

Proceedings of the National Academy of Sciences of the United States of America, 114(1), E57–66.

By: R. Andres n, V. Coneva*, M. Frank*, J. Tuttle n, L. Samayoa n, S. Han n, B. Kaur n, L. Zhu n ...

TL;DR: It is shown that the major leaf shapes of cotton at the L-D1 locus are controlled by a HD-Zip transcription factor most similar to Late Meristem Identity1 (LMI1) gene, and that sub-okra is the ancestral leaf shape of tetraploid cotton and normal is a derived mutant allele that came to predominate and define the leafshape of cultivated cotton. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 journal article

Population extremes for assessing trait value and correlated response of genetically complex traits

Field Crops Research, 201, 122–132.

By: G. Rebetzke*, R. Richards* & J. Holland*

Contributors: G. Rebetzke*, R. Richards* & J. Holland*

author keywords: Heritability; Selection; Managed environments; Drought; QTL; Quantitative trait loci; Genetic correlation; Indirect selection; NIL
TL;DR: The power of the tail comparison test was closely related to the heritability of the selection trait and its genotypic correlation with the evaluation trait, demonstrating that the Tail comparison test can appropriately evaluate and rank the potential utility of different selection traits. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
Source: ORCID
Added: December 8, 2020

2017 journal article

Selection for water-soluble carbohydrate accumulation and investigation of genetic x environment interactions in an elite wheat breeding population

THEORETICAL AND APPLIED GENETICS, 130(11), 2445–2461.

By: B. Ovenden*, A. Milgate, C. Lisle*, L. Wade*, G. Rebetzke* & J. Holland n

Contributors: B. Ovenden*, A. Milgate, C. Lisle*, L. Wade*, G. Rebetzke* & J. Holland n

MeSH headings : Carbohydrates / biosynthesis; Droughts; Gene-Environment Interaction; Genotype; Linear Models; Models, Genetic; Phenotype; Plant Breeding; Seeds / growth & development; Selection, Genetic; Triticum / genetics; Triticum / metabolism; Water / physiology
TL;DR: Water-soluble carbohydrate accumulation can be selected in wheat breeding programs with consideration of genetic × environmental interactions and relationships with other important characteristics such as relative maturity and nitrogen concentration, although the correlation between WSC traits and grain yield is low and inconsistent. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
6. Clean Water and Sanitation (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

The effect of artificial selection on phenotypic plasticity in maize

NATURE COMMUNICATIONS, 8(1).

Contributors: J. Gage*, D. Jarquin*, C. Romay*, A. Lorenz*, E. Buckler*, S. Kaeppler*, N. Alkhalifah*, M. Bohn* ...

MeSH headings : Chimera; Gene Frequency; Genetic Variation; Genome, Plant; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide; Selection, Genetic; Tropical Climate; Zea mays / genetics; Zea mays / physiology
TL;DR: The authors find maize genomic regions selected for high productivity show reduced contribution to genotype by environment variation and provide evidence for regulatory control of phenotypic stability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 journal article

Variation in the Fusarium verticilloides-maize pathosystem and implications for sorting mycotoxin-contaminated maize grain

Phytopathology, 107(2), 11–11.

By: L. Morales, A. Wenndt, T. Marino, J. Holland & R. Nelson

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Genetic Architecture of Domestication-Related Traits in Maize

GENETICS, 204(1), 99-+.

Contributors: S. Xue n, P. Bradbury*, T. Casstevens* & J. Holland n

author keywords: quantitative trait loci; nested association mapping; genome-wide association study; variance components; Zea mays
MeSH headings : Chromosome Mapping / methods; Chromosomes, Plant; Domestication; Genes, Plant; Genetic Variation; Genetics, Population; Genome-Wide Association Study / methods; Genomics / methods; Genotype; Models, Genetic; Phenotype; Plant Breeding / methods; Polymorphism, Genetic; Quantitative Trait Loci; Selection, Genetic; Zea mays / genetics
TL;DR: Small-effect polygenic variants are responsible for most of the standing variation for domestication-related traits in maize, and background genomic regions lacking previous evidence for involvement in domestication were associated with more trait variation than expected. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2016 journal article

Genetic Characterization of the North Carolina State University Maize Lines

CROP SCIENCE, 56(1), 259–275.

By: P. Nelson n, M. Krakowsky*, N. Coles*, J. Holland*, D. Bubeck*, J. Smith*, M. Goodman n

Contributors: P. Nelson n, M. Krakowsky*, N. Coles*, J. Holland*, D. Bubeck*, J. Smith*, M. Goodman n

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: ORCID, Web Of Science
Added: August 6, 2018

2016 journal article

Modifications to a LATE MERISTEM IDENTITY1 gene are responsible for the major leaf shapes of Upland cotton (Gossypium hirsutum L.)

Proceedings of the National Academy of Sciences, 114(1), E57–E66.

By: R. Andres n, V. Coneva*, M. Frank*, J. Tuttle n, L. Samayoa n, S. Han n, B. Kaur n, L. Zhu n ...

Contributors: R. Andres n, V. Coneva*, M. Frank*, J. Tuttle n, L. Samayoa n, S. Han n, B. Kaur n, L. Zhu n ...

author keywords: cotton; leaf shape; okra; gene cloning
MeSH headings : Amino Acid Sequence / genetics; Frameshift Mutation / genetics; Gene Expression Regulation, Plant; Genes, Plant / genetics; Gossypium / genetics; Gossypium / physiology; Plant Leaves / genetics; Plant Leaves / physiology; Promoter Regions, Genetic / genetics; Transcription Factors / genetics
TL;DR: The results indicate that subokra is the ancestral leaf shape of tetraploid cotton that gave rise to the okra allele and that normal is a derived mutant allele that came to predominate and define the leafshape of cultivated cotton. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 30, 2019

2016 journal article

Responses to Recurrent Index Selection for Reduced Fusarium Ear Rot and Lodging and for Increased Yield in Maize

CROP SCIENCE, 56(1), 85–94.

By: D. Horne n, M. Eller n & J. Holland n

Contributors: D. Horne n, M. Eller n & J. Holland n

TL;DR: The first demonstration of the indirect effect of selection against Fusarium ear rot on reduc- tion of fumonisin contamination is demonstrated, indicating potential for further genetic gain from selection in this population. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2016 journal article

The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance

Plant Physiology, 172(3), 1787–1803.

Contributors: B. Olukolu n, Y. Bian n, B. De Vries*, W. Tracy*, R. Wisser*, J. Holland n, P. Balint-Kurti n

MeSH headings : Alleles; Chromosome Mapping; Disease Resistance / genetics; Genetics, Population; Genome-Wide Association Study; Inbreeding; Light; Phenotype; Plant Diseases / genetics; Plant Diseases / immunology; Plant Leaves / genetics; Plant Leaves / radiation effects; Polymorphism, Single Nucleotide / genetics; Quantitative Trait Loci / genetics; Reactive Oxygen Species / metabolism; Seeds / genetics; Zea mays / genetics; Zea mays / radiation effects
TL;DR: Evidence is presented suggesting that mild flecking could be used as a selection criterion for breeding programs trying to incorporate broad-spectrum disease resistance and positive correlations were found between increased flecking, stronger defense response, increased disease resistance, and increased pest resistance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2015 journal article

Charles W. Stuber: Maize Geneticist and Pioneer of Marker-Assisted Selection

Plant Breeding Reviews, Vol 39, 39, 1–22.

By: J. Holland n, G. Graham*, J. Murphy n & M. Lynn

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2015 book

Charles W. Stuber: Maize Geneticist and Pioneer of Marker-Assisted Selection

In Plant Breeding Reviews (Vol. 39, pp. 1–22).

By: J. Holland n, G. Graham*, J. Murphy n & M. Senior*

Contributors: J. Holland n, G. Graham*, J. Murphy n & M. Senior*

Source: ORCID
Added: December 8, 2020

2015 journal article

Ensemble Learning of QTL Models Improves Prediction of Complex Traits

G3-GENES GENOMES GENETICS, 5(10), 2073–2084.

By: Y. Bian n & J. Holland n

Contributors: Y. Bian n & J. Holland n

author keywords: quantitative trait loci; thinning and aggregating; ensemble modeling; Zea mays
MeSH headings : Algorithms; Chromosome Mapping; Genetic Association Studies; Genetic Linkage; Genotype; Models, Genetic; Phenotype; Quantitative Trait Loci; Quantitative Trait, Heritable; Reproducibility of Results; Zea mays / genetics
TL;DR: An ensemble model combining predictions from TAGGING-assisted QTL and infinitesimal models improved prediction abilities over the component models, indicating some complementarity between model assumptions and suggesting that some trait genetic architectures involve a mixture of a few majorQTL and polygenic effects. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

Genome-wide association study reveals a set of genes associated with resistance to the Mediterranean corn borer (Sesamia nonagrioides L.) in a maize diversity panel

BMC PLANT BIOLOGY, 15(1).

Contributors: L. Samayoa*, R. Malvar*, B. Olukolu n, J. Holland n & A. Butrón*

author keywords: Candidate genes; Corn borer; Genome-wide association study; Insect resistance; Maize; Mixed linear models; Sesamia nonagrioides
MeSH headings : Animals; Genes, Plant; Genome-Wide Association Study; Moths / physiology; Polymorphism, Single Nucleotide; Zea mays / genetics; Zea mays / parasitology
TL;DR: Most of the candidate genes found in this study are part of signaling pathways, others act as regulator of expression under biotic stress condition, and a few genes are encoding enzymes with antibiotic effect against insects such as the cystatin1 gene and the defensin proteins. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

Hallauer's Tuson: a decade of selection for tropical-to-temperate phenological adaptation in maize

HEREDITY, 114(2), 229–240.

By: J. Teixeira*, T. Weldekidan*, N. Leon*, S. Flint-Garcia*, J. Holland*, N. Lauter*, S. Murray*, W. Xu* ...

Contributors: J. Teixeira*, T. Weldekidan*, N. De Leon*, S. Flint-Garcia*, J. Holland*, N. Lauter*, S. Murray*, W. Xu* ...

MeSH headings : Adaptation, Physiological / genetics; Crops, Agricultural / genetics; Flowers / physiology; Gene-Environment Interaction; Genetics, Population; Linear Models; Models, Genetic; Phenotype; Photoperiod; Selection, Genetic; Temperature; Zea mays / genetics; Zea mays / physiology
TL;DR: Results suggest that adaptation was primarily due to selection on genetic main effects tailored to temperature-dependent plasticity in flowering time, and the original population exhibited a maladaptive syndrome including excessive ear and plant heights along with later flowering; this was reduced in frequency by selection for flowering time. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

Joint-multiple family linkage analysis predicts within-family variation better than single-family analysis of the maize nested association mapping population

HEREDITY, 114(6), 552–563.

By: F. Ogut n, Y. Bian n, P. Bradbury* & J. Holland*

Contributors: F. Ogut n, Y. Bian n, P. Bradbury* & J. Holland*

MeSH headings : Chromosome Mapping / methods; Genetic Linkage; Genetic Markers; Genetics, Population; Models, Genetic; Quantitative Trait Loci; Zea mays / genetics
TL;DR: The superior predictive ability of joint-family QTL models despite important genetic differences among families suggests that joint- family models capture sufficient smaller effect QTL that is shared across families to compensate for missing some rare large-effect QTL. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2015 article

MAGIC maize: a new resource for plant genetics

Holland, J. B. (2015, September 11). GENOME BIOLOGY, Vol. 16.

By: J. Holland n

Contributors: J. Holland n

MeSH headings : Chromosome Mapping / methods; Quantitative Trait Loci; Zea mays / genetics
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

New insight into a complex plant–fungal pathogen interaction

Nature Genetics, 47(2), 101–103.

By: P. Balint-Kurti n & J. Holland n

Contributors: P. Balint-Kurti n & J. Holland n

MeSH headings : Basidiomycota / physiology; Disease Resistance / genetics; Plant Diseases / immunology; Protein Kinases / genetics; Quantitative Trait Loci; Zea mays / genetics
TL;DR: A newly identified plant gene confers partial resistance to a fungal pathogen not by preventing initial infection but by limiting its spread through the plant. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2015 chapter book

QTL Mapping Using High-Throughput Sequencing

By: T. Jamann n, P. Balint-Kurti n & J. Holland n

Contributors: T. Jamann n, P. Balint-Kurti n & J. Holland n

author keywords: Fine-mapping; Map-based cloning; Genome-wide association study
MeSH headings : Chromosome Mapping / methods; Cloning, Molecular; Crosses, Genetic; Genetic Markers; Genome-Wide Association Study; Genotyping Techniques; High-Throughput Nucleotide Sequencing / methods; Linkage Disequilibrium; Phenotype; Polymerase Chain Reaction / methods; Polymorphism, Single Nucleotide; Quantitative Trait Loci
TL;DR: Modifications of the traditional biparental mapping population that provide higher resolution of QTL positions, QTL fine-mapping procedures, and genome-wide association studies are discussed, all of which are greatly facilitated by high-throughput sequencing methods. (via Semantic Scholar)
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, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2015 journal article

Registration of the Ki14 × B73 Recombinant Inbred Mapping Population of Maize

Journal of Plant Registrations, 9(2), 262–265.

By: R. Pratt, J. Holland n, P. Balint-Kurti n, N. Coles n, J. Zwonitzer n, M. Casey, M. McMullen*

Contributors: R. Pratt, J. Holland n, P. Balint-Kurti n, N. Coles n, J. Zwonitzer n, M. Casey, M. McMullen*

UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2014 journal article

A Genome-Wide Association Study of the Maize Hypersensitive Defense Response Identifies Genes That Cluster in Related Pathways

PLoS Genetics, 10(8), e1004562.

By: B. Olukolu n, G. Wang n, V. Vontimitta*, B. Venkata*, S. Marla*, J. Ji*, E. Gachomo*, K. Chu* ...

Contributors: B. Olukolu n, G. Wang n, V. Vontimitta*, B. Venkata*, S. Marla*, J. Ji*, E. Gachomo*, K. Chu* ...

Ed(s): J. McDowell

MeSH headings : Chromosome Mapping; Disease Resistance / genetics; Genome-Wide Association Study; Linkage Disequilibrium; Plant Diseases / genetics; Plant Proteins / genetics; Polymorphism, Single Nucleotide; Quantitative Trait Loci / genetics; Zea mays / genetics
TL;DR: This study provides the first system-wide analysis of natural variation that modulates the HR response in plants with low but significant correlations between HR-related traits and several previously-measured disease resistance traits. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: ORCID, Crossref, NC State University Libraries
Added: October 23, 2019

2014 chapter

Breeding and genetic diversity

In Genetics, Genomics and Breeding of Maize (pp. 14–50).

By: M. Goodman, J. Holland & J. Sánchez G

Contributors: M. Goodman, J. Holland & J. Sánchez G

Source: ORCID
Added: December 8, 2020

2014 chapter

Breeding: Plants, Modern

In Encyclopedia of Agriculture and Food Systems (pp. 187–200).

By: J. Holland n

Contributors: J. Holland n

TL;DR: Improvements in breeding methods include statistical methods that can combine information across different breeding families and the application of genomic information to improve selection response under certain circumstances. (via Semantic Scholar)
Source: ORCID
Added: December 8, 2020

2014 journal article

Causes and Consequences of Genetic Background Effects Illuminated by Integrative Genomic Analysis

GENETICS, 196(4), 1321-+.

By: J. Peiffer, M. Romay, M. Gore, S. Flint-Garcia, Z. Zhang, M. Millard, C. Gardner, M. McMullen ...

author keywords: transcriptional profiling; introgression mapping; genetic background effects; mutant expressivity; modifier genes; epistasis
MeSH headings : Animals; Drosophila Proteins / genetics; Drosophila melanogaster / anatomy & histology; Drosophila melanogaster / genetics; Drosophila melanogaster / ultrastructure; Epistasis, Genetic; Gene Expression Regulation; Genes, Modifier; Genome, Insect; Genomics / methods; Inbreeding; Mutation; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Transcription Factors / genetics; Wings, Animal / ultrastructure
TL;DR: This work generated multiple novel genome-level datasets from a mapping-by-introgression experiment and a tagged RNA gene expression dataset and integrated these data with previously published genomic datasets from expression microarrays and a modifier mutation screen to identify a robust set of candidate loci contributing to the background-dependent effects of mutations in SD. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Genome-wide association study of Fusarium ear rot disease in the USA maize inbred line collection

BMC PLANT BIOLOGY, 14(1).

By: C. Zila n, F. Ogut n, M. Romay*, C. Gardner*, E. Buckler* & J. Holland n

Contributors: C. Zila n, F. Ogut n, M. Romay*, C. Gardner*, E. Buckler* & J. Holland n

author keywords: Association analysis; Disease resistance; Genomic selection; Maize; Quantitative trait
MeSH headings : Disease Resistance / genetics; Fusarium / physiology; Genome-Wide Association Study; Host-Pathogen Interactions / genetics; Plant Diseases; Polymorphism, Single Nucleotide; Zea mays / genetics; Zea mays / immunology
TL;DR: A genome-wide association study for Fusarium ear rot resistance in a very diverse maize collection identified seven SNP variants each associated with between 1% and 3% of trait variation, which means the value of selection on these SNPs for improving resistance to Fus aquarium ear rot is limited. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

Insights into the effects of long-term artificial selection on seed size in maize

Genetics, 198(1), 409-.

By: C. Hirsch*, S. Flint-Garcia*, T. Beissinger*, S. Eichten*, S. Deshpande*, K. Barry*, M. McMullen*, J. Holland n ...

Contributors: C. Hirsch*, S. Flint-Garcia*, T. Beissinger*, S. Eichten*, S. Deshpande*, K. Barry*, M. McMullen*, J. Holland n ...

MeSH headings : DNA Copy Number Variations; Gene Frequency; Genome, Plant; Models, Genetic; Polymorphism, Single Nucleotide; Quantitative Trait, Heritable; Seeds / anatomy & histology; Seeds / genetics; Selection, Genetic; Zea mays / genetics; Zea mays / growth & development
TL;DR: In insights into the genetic elements underlying seed-size variation in maize, the number of regions that overlapped with the long-term selection experiment did not exceed that expected by chance, possibly indicating unique sources of variation between the two populations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

Limits on the reproducibility of marker associations with southern leaf blight resistance in the maize nested association mapping population

BMC GENOMICS, 15(1).

By: Y. Bian n, Q. Yang n, P. Balint-Kurti n, R. Wisser* & J. Holland*

Contributors: Y. Bian n, Q. Yang n, P. Balint-Kurti n, R. Wisser* & J. Holland*

author keywords: Quantitative trait loci; Nested association mapping; Disease resistance; Genome wide association study; Zea mays
MeSH headings : Alleles; Chromosome Mapping; Chromosomes, Plant / genetics; Disease Resistance / genetics; Genetic Linkage; Genome-Wide Association Study; Genotype; Linkage Disequilibrium; Phenotype; Plant Leaves / genetics; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Zea mays / genetics
TL;DR: The highly polygenic nature of resistance to SLB complicates the identification of causal genes and the updated NAM genetic linkage map improves QTL estimation and, along with a much denser SNP HapMap, greatly increases the likelihood of detecting SNPs in linkage with causal variants. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2014 chapter

Mining natural variation for maize improvement: Selection on phenotypes and genes

In Genomics of Plant Genetic Resources: Volume 1. Managing, Sequencing and Mining Genetic Resources (pp. 615–649).

By: S. Sood n, S. Flint-Garcia*, M. Willcox & J. Holland*

Contributors: S. Sood n, S. Flint-Garcia*, M. Willcox & J. Holland*

TL;DR: Genomics provides new opportunities to identify the genes affecting important agronomic traits and to estimate the wide range of allelic effects at such genes, and new approaches to complex trait analysis can leverage high throughput sequencing and genotyping technologies to improve understanding of the genome-wide distribution of allele effects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: ORCID
Added: December 8, 2020

2014 journal article

Protein profiling reveals novel proteins in pollen and pistil of W22 (ga1; Ga1) in maize

Proteomes, 2(2), 258–271.

By: J. Yu*, S. Roy*, A. Kamal*, K. Cho*, S. Kwon*, S. Cho*, Y. So*, J. Holland n, S. Woo*

Contributors: J. Yu*, S. Roy*, A. Kamal*, K. Cho*, S. Kwon*, S. Cho*, Y. So*, J. Holland n, S. Woo*

author keywords: maize; pollen; pistil; gametophytic factors; proteomics
TL;DR: The identified proteins were generally involved in hydrolase activity, nucleic acid binding and nucleotide binding and provide a valuable clue for the pollen and pistil research in maize. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Source: ORCID
Added: December 8, 2020

2014 journal article

The Genetic Architecture Of Maize Height

GENETICS, 196(4), 1337-+.

By: J. Peiffer n, M. Romay*, M. Gore*, S. Flint-Garcia*, Z. Zhang*, M. Millard*, C. Gardner*, M. McMullen* ...

Contributors: J. Peiffer n, M. Romay*, M. Gore*, S. Flint-Garcia*, Z. Zhang*, M. Millard*, C. Gardner*, M. McMullen* ...

author keywords: GBLUP; height; maize; plant
MeSH headings : Adaptation, Biological; Chromosome Mapping; Genetic Variation; Genome, Plant; Genome-Wide Association Study; Phenotype; Plant Stems / genetics; Plant Stems / physiology; Quantitative Trait Loci; Reproducibility of Results; Zea mays / genetics; Zea mays / growth & development; Zea mays / physiology
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, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

Yield effects of two southern leaf blight resistance loci in maize hybrids

Crop Science, 54(3), 882–894.

By: J. Santa-Cruz*, K. Kump*, C. Arellano*, M. Goodman*, M. Krakowsky*, J. Holland*, P. Balint-Kurti*

Contributors: J. Santa-Cruz*, K. Kump*, C. Arellano*, M. Goodman*, M. Krakowsky*, J. Holland*, P. Balint-Kurti*

TL;DR: Evidence is presented to suggest that the yield cost is associated with the resistance phenotype rather than with linkage drag, and results suggested that both introgressions might confer a yield cost in the absence of SLB, but only introgression 6A was associated with a statistically significant reduction. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: ORCID
Added: October 23, 2019

2013 journal article

A Connected Set of Genes Associated with Programmed Cell Death Implicated in Controlling the Hypersensitive Response in Maize

GENETICS, 193(2), 609-+.

By: B. Olukolu*, A. Negeri, R. Dhawan, B. Venkata*, P. Sharma*, A. Garg*, E. Gachomo*, S. Marla* ...

Contributors: B. Olukolu*, A. Negeri, R. Dhawan, B. Venkata*, P. Sharma*, A. Garg*, E. Gachomo*, S. Marla* ...

MeSH headings : Alleles; Apoptosis / genetics; Crosses, Genetic; Disease Resistance / genetics; Genes, Plant; Genetic Markers; Genetic Variation; Genome-Wide Association Study; Linear Models; Linkage Disequilibrium; Phenotype; Physical Chromosome Mapping; Polymorphism, Single Nucleotide; Zea mays / genetics; Zea mays / physiology
TL;DR: An association mapping strategy based on the Mutant Assisted Gene Identification and Characterization approach to identify naturally occurring allelic variants associated with phenotypic variation in HR, and the extent of genome-wide LD is examined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
3. Good Health and Well-being (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

A Genome-Wide Association Study Reveals Genes Associated with Fusarium Ear Rot Resistance in a Maize Core Diversity Panel

G3-GENES GENOMES GENETICS, 3(11), 2095–2104.

Contributors: C. Zila n, L. Samayoa*, R. Santiago*, A. Butrón* & J. Holland n

author keywords: association analysis; disease resistance; genotype-by-environment interaction; maize; quantitative trait
MeSH headings : Alleles; Disease Resistance / genetics; Fusarium / pathogenicity; Gene Frequency; Genetic Loci; Genome-Wide Association Study; Genotype; Linkage Disequilibrium; Models, Genetic; Plant Diseases / genetics; Plant Diseases / microbiology; Polymorphism, Single Nucleotide; Zea mays / genetics
TL;DR: A genome-wide association study to detect allele variants associated with increased resistance to Fusarium ear rot in a maize core diversity panel of 267 inbred lines evaluated in two sets of environments identified three marker loci significantly associated with disease resistance in at least one subset of environments. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

Comprehensive genotyping of the USA national maize inbred seed bank

GENOME BIOLOGY, 14(6).

By: M. Romay*, M. Millard*, J. Glaubitz*, J. Peiffer n, K. Swarts*, T. Casstevens*, R. Elshire*, C. Acharya* ...

Contributors: M. Romay*, M. Millard*, J. Glaubitz*, J. Peiffer n, K. Swarts*, T. Casstevens*, R. Elshire*, C. Acharya* ...

author keywords: Diversity; Genotyping by sequencing; Germplasm; Maize; Public
MeSH headings : Alleles; Biological Specimen Banks; Breeding; Chromosome Mapping; Genetic Markers; Genome, Plant; Genotype; High-Throughput Nucleotide Sequencing; Linkage Disequilibrium; Phenotype; Polymorphism, Single Nucleotide; Quantitative Trait, Heritable; Seeds / classification; Seeds / genetics; United States; Zea mays / genetics
TL;DR: Genotyping by sequencing, a new low-cost, high-throughput sequencing technology was used to genotype 2,815 maize inbred accessions, preserved mostly at the National Plant Germplasm System in the USA, and identified trait associations at SNPs very close to known candidate genes for kernel color, sweet corn, and flowering time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

Confirming quantitative trait loci for aflatoxin resistance from Mp313E in different genetic backgrounds

Molecular Breeding, 32(1), 15–26.

By: M. Willcox*, G. Davis*, M. Warburton, G. Windham, H. Abbas*, J. Betrán, J. Holland*, W. Williams

Contributors: M. Willcox*, G. Davis*, M. Warburton, G. Windham, H. Abbas*, J. Betrán, J. Holland*, W. Williams

author keywords: Aspergillus flavus; Aflatoxin; Quantitative trait loci; Maize (Zea mays L.); Host plant resistance; Molecular markers; Genetic background
TL;DR: Many of the quantitative trait loci (QTL) conferring resistance to aflatoxin accumulation from resistant maize donor Mp313E in a background of the susceptible inbred line Va35 are stable over the environments and genetic backgrounds tested, which will make them more valuable in breeding efforts. (via Semantic Scholar)
Source: ORCID
Added: December 8, 2020

2012 journal article

Diallel Analysis of Resistance to Fusarium Ear Rot and Fumonisin Contamination in Maize

CROP SCIENCE, 52(5), 2173–2181.

By: H. Hung n & J. Holland n

Contributors: H. Hung n & J. Holland n

TL;DR: The results suggest that the most effi cient way to improve Fusarium ear rot and fumonisin contamination resistances in hybrids is to evaluate and select among inbred lines before using resources to create and evaluate hybrids. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2012 journal article

Genetic Architecture of Maize Kernel Composition in the Nested Association Mapping and Inbred Association Panels

PLANT PHYSIOLOGY, 158(2), 824–834.

Contributors: J. Cook n, M. McMullen n, J. Holland n, F. Tian n, P. Bradbury n, J. Ross-Ibarra n, E. Buckler n, S. Flint-Garcia n

MeSH headings : Genes, Plant; Genetic Linkage; Genome-Wide Association Study; Quantitative Trait Loci; Zea mays / genetics
TL;DR: Joint-linkage quantitative trait locus mapping and genome-wide association studies for kernel starch, protein, and oil in the maize nested association mapping population, composed of 25 recombinant inbred line families derived from diverse inbred lines, revealed that the genetic architecture of kernel composition traits is controlled by 21–26 quantitative traits loci. (via Semantic Scholar)
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, ORCID, NC State University Libraries
Added: August 6, 2018

2012 journal article

Maize HapMap2 identifies extant variation from a genome in flux

Nature Genetics, 44(7), 803–807.