Genetic control of kernel compositional variation in a maize diversity panel

Abstract Maize (Zea mays L.) is a multi‐purpose row crop grown worldwide, which, over time, has often been bred for increased yield at the detriment of lower composition grain quality. Some knowledge of the genetic factors that affect quality traits has been discovered through the study of classical...

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Autores principales:	Jonathan S. Renk, Amanda M. Gilbert, Travis J. Hattery, Christine H. O'Connor, Patrick J. Monnahan, Nickolas Anderson, Amanda J. Waters, David P. Eickholt, Sherry A. Flint‐Garcia, Marna D. Yandeau‐Nelson, Candice N. Hirsch
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Plant culture SB1-1110 Genetics QH426-470
Acceso en línea:	https://doaj.org/article/f477e8c05faa4e2d987a11db59ace3d2
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spelling	oai:doaj.org-article:f477e8c05faa4e2d987a11db59ace3d22021-12-05T07:50:12ZGenetic control of kernel compositional variation in a maize diversity panel1940-337210.1002/tpg2.20115https://doaj.org/article/f477e8c05faa4e2d987a11db59ace3d22021-11-01T00:00:00Zhttps://doi.org/10.1002/tpg2.20115https://doaj.org/toc/1940-3372Abstract Maize (Zea mays L.) is a multi‐purpose row crop grown worldwide, which, over time, has often been bred for increased yield at the detriment of lower composition grain quality. Some knowledge of the genetic factors that affect quality traits has been discovered through the study of classical maize mutants; however, much of the underlying genetic control of these traits and the interaction between these traits remains unknown. To better understand variation that exists for grain compositional traits in maize, we evaluated 501 diverse temperate maize inbred lines in five unique environments and predicted 16 compositional traits (e.g., carbohydrates, protein, and starch) based on the output of near‐infrared (NIR) spectroscopy. Phenotypic analysis found substantial variation for compositional traits and the majority of variation was explained by genetic and environmental factors. Correlations and trade‐offs among traits in different maize types (e.g., dent, sweetcorn, and popcorn) were explored, and significant differences and meaningful correlations were detected. In total, 22.9–71.0% of the phenotypic variation across these traits could be explained using 2,386,666 single nucleotide polymorphism (SNP) markers generated from whole‐genome resequencing data. A genome‐wide association study (GWAS) was conducted using these same markers and found 72 statistically significant SNPs for 11 compositional traits. This study provides valuable insights in the phenotypic variation and genetic control underlying compositional traits that can be used in breeding programs for improving maize grain quality.Jonathan S. RenkAmanda M. GilbertTravis J. HatteryChristine H. O'ConnorPatrick J. MonnahanNickolas AndersonAmanda J. WatersDavid P. EickholtSherry A. Flint‐GarciaMarna D. Yandeau‐NelsonCandice N. HirschWileyarticlePlant cultureSB1-1110GeneticsQH426-470ENThe Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Plant culture SB1-1110 Genetics QH426-470
spellingShingle	Plant culture SB1-1110 Genetics QH426-470 Jonathan S. Renk Amanda M. Gilbert Travis J. Hattery Christine H. O'Connor Patrick J. Monnahan Nickolas Anderson Amanda J. Waters David P. Eickholt Sherry A. Flint‐Garcia Marna D. Yandeau‐Nelson Candice N. Hirsch Genetic control of kernel compositional variation in a maize diversity panel
description	Abstract Maize (Zea mays L.) is a multi‐purpose row crop grown worldwide, which, over time, has often been bred for increased yield at the detriment of lower composition grain quality. Some knowledge of the genetic factors that affect quality traits has been discovered through the study of classical maize mutants; however, much of the underlying genetic control of these traits and the interaction between these traits remains unknown. To better understand variation that exists for grain compositional traits in maize, we evaluated 501 diverse temperate maize inbred lines in five unique environments and predicted 16 compositional traits (e.g., carbohydrates, protein, and starch) based on the output of near‐infrared (NIR) spectroscopy. Phenotypic analysis found substantial variation for compositional traits and the majority of variation was explained by genetic and environmental factors. Correlations and trade‐offs among traits in different maize types (e.g., dent, sweetcorn, and popcorn) were explored, and significant differences and meaningful correlations were detected. In total, 22.9–71.0% of the phenotypic variation across these traits could be explained using 2,386,666 single nucleotide polymorphism (SNP) markers generated from whole‐genome resequencing data. A genome‐wide association study (GWAS) was conducted using these same markers and found 72 statistically significant SNPs for 11 compositional traits. This study provides valuable insights in the phenotypic variation and genetic control underlying compositional traits that can be used in breeding programs for improving maize grain quality.
format	article
author	Jonathan S. Renk Amanda M. Gilbert Travis J. Hattery Christine H. O'Connor Patrick J. Monnahan Nickolas Anderson Amanda J. Waters David P. Eickholt Sherry A. Flint‐Garcia Marna D. Yandeau‐Nelson Candice N. Hirsch
author_facet	Jonathan S. Renk Amanda M. Gilbert Travis J. Hattery Christine H. O'Connor Patrick J. Monnahan Nickolas Anderson Amanda J. Waters David P. Eickholt Sherry A. Flint‐Garcia Marna D. Yandeau‐Nelson Candice N. Hirsch
author_sort	Jonathan S. Renk
title	Genetic control of kernel compositional variation in a maize diversity panel
title_short	Genetic control of kernel compositional variation in a maize diversity panel
title_full	Genetic control of kernel compositional variation in a maize diversity panel
title_fullStr	Genetic control of kernel compositional variation in a maize diversity panel
title_full_unstemmed	Genetic control of kernel compositional variation in a maize diversity panel
title_sort	genetic control of kernel compositional variation in a maize diversity panel
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/f477e8c05faa4e2d987a11db59ace3d2
work_keys_str_mv	AT jonathansrenk geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT amandamgilbert geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT travisjhattery geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT christinehoconnor geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT patrickjmonnahan geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT nickolasanderson geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT amandajwaters geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT davidpeickholt geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT sherryaflintgarcia geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT marnadyandeaunelson geneticcontrolofkernelcompositionalvariationinamaizediversitypanel AT candicenhirsch geneticcontrolofkernelcompositionalvariationinamaizediversitypanel
_version_	1718372592095592448

Genetic control of kernel compositional variation in a maize diversity panel

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