Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought

Crop adaptation is required to sustainably increase the rate of yield gains to meet projected future needs under the challenging conditions of climate change and competition for resources. Future adaptation will likely need to harness both highly polygenic traits and genotype-by-environment interact...

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Autores principales: Moyers, Brook T., Henry, Amelia, Raghavan, Chitra, Zaw, Hein, Marrano, Annarita, Leung, Hei, McKay, John
Formato: Preprint
Lenguaje:Inglés
Publicado: Cold Spring Harbor Laboratory 2022
Acceso en línea:https://hdl.handle.net/10568/164111
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author Moyers, Brook T.
Henry, Amelia
Raghavan, Chitra
Zaw, Hein
Marrano, Annarita
Leung, Hei
McKay, John
author_browse Henry, Amelia
Leung, Hei
Marrano, Annarita
McKay, John
Moyers, Brook T.
Raghavan, Chitra
Zaw, Hein
author_facet Moyers, Brook T.
Henry, Amelia
Raghavan, Chitra
Zaw, Hein
Marrano, Annarita
Leung, Hei
McKay, John
author_sort Moyers, Brook T.
collection Repository of Agricultural Research Outputs (CGSpace)
description Crop adaptation is required to sustainably increase the rate of yield gains to meet projected future needs under the challenging conditions of climate change and competition for resources. Future adaptation will likely need to harness both highly polygenic traits and genotype-by-environment interactions (GxE), the study of which is aided by complex recombinant populations. We used the diverse Oryza sativa Global Multiparent Advanced Generation InterCross (MAGIC) population to study the genetic architecture and contributions of seedling emergence, establishment, and development to yield components under dry-direct seeding and seedling stage drought across three growing seasons. Dry-direct seeding is an establishment practice that has the potential to reduce methane emissions, water use, and labor demands for rice farmers, but increases the possibility of early-season drought conditions. We found substantial evidence for large roles of environmental variation and GxE in controlling trait variation. Maintenance of shoot growth during seedling stage drought was positively correlated with crown root number and both directly and indirectly influenced agronomic traits. Other than the major green revolution locus sd1, most allelic effects were conditionally neutral (affecting trait values in some environments but not others) and most alleles had their strongest effect in an environmental extreme. This discovery is both a challenge and a potential opportunity: with variable genetic architecture, selection in any one environment may not result in stable trait gains across environments. However, conditionally neutral GxE is a potential route to sustainable yield stability through allele pyramiding.
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spelling CGSpace1641112024-12-19T14:13:29Z Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought Moyers, Brook T. Henry, Amelia Raghavan, Chitra Zaw, Hein Marrano, Annarita Leung, Hei McKay, John Crop adaptation is required to sustainably increase the rate of yield gains to meet projected future needs under the challenging conditions of climate change and competition for resources. Future adaptation will likely need to harness both highly polygenic traits and genotype-by-environment interactions (GxE), the study of which is aided by complex recombinant populations. We used the diverse Oryza sativa Global Multiparent Advanced Generation InterCross (MAGIC) population to study the genetic architecture and contributions of seedling emergence, establishment, and development to yield components under dry-direct seeding and seedling stage drought across three growing seasons. Dry-direct seeding is an establishment practice that has the potential to reduce methane emissions, water use, and labor demands for rice farmers, but increases the possibility of early-season drought conditions. We found substantial evidence for large roles of environmental variation and GxE in controlling trait variation. Maintenance of shoot growth during seedling stage drought was positively correlated with crown root number and both directly and indirectly influenced agronomic traits. Other than the major green revolution locus sd1, most allelic effects were conditionally neutral (affecting trait values in some environments but not others) and most alleles had their strongest effect in an environmental extreme. This discovery is both a challenge and a potential opportunity: with variable genetic architecture, selection in any one environment may not result in stable trait gains across environments. However, conditionally neutral GxE is a potential route to sustainable yield stability through allele pyramiding. 2022-02-09 2024-12-19T12:53:29Z 2024-12-19T12:53:29Z Preprint https://hdl.handle.net/10568/164111 en Cold Spring Harbor Laboratory Moyers, Brook T.; Henry, Amelia; Raghavan, Chitra; Zaw, Hein; Marrano, Annarita; Leung, Hei and McKay, John. 2022. Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought. bioRxiv preprint, 34 pages
spellingShingle Moyers, Brook T.
Henry, Amelia
Raghavan, Chitra
Zaw, Hein
Marrano, Annarita
Leung, Hei
McKay, John
Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title_full Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title_fullStr Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title_full_unstemmed Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title_short Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
title_sort strong genotype by environment interactions in the rice global magic population across seedling stage drought
url https://hdl.handle.net/10568/164111
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