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Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize

We review approaches to maize breeding for improved drought tolerance during flowering and grain filling in the central and western US corn belt and place our findings in the context of results from public breeding. Here we show that after two decades of dedicated breeding efforts, the rate of crop...

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Autores principales: Messina, Carlos D, Gho, Carla, Hammer, Graeme L, Tang, Tom, Cooper, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474595/
https://www.ncbi.nlm.nih.gov/pubmed/37354091
http://dx.doi.org/10.1093/jxb/erad231
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author Messina, Carlos D
Gho, Carla
Hammer, Graeme L
Tang, Tom
Cooper, Mark
author_facet Messina, Carlos D
Gho, Carla
Hammer, Graeme L
Tang, Tom
Cooper, Mark
author_sort Messina, Carlos D
collection PubMed
description We review approaches to maize breeding for improved drought tolerance during flowering and grain filling in the central and western US corn belt and place our findings in the context of results from public breeding. Here we show that after two decades of dedicated breeding efforts, the rate of crop improvement under drought increased from 6.2 g m(−2) year(−1) to 7.5 g m(−2) year(−1), closing the genetic gain gap with respect to the 8.6 g m(−2) year(–1) observed under water-sufficient conditions. The improvement relative to the long-term genetic gain was possible by harnessing favourable alleles for physiological traits available in the reference population of genotypes. Experimentation in managed stress environments that maximized the genetic correlation with target environments was key for breeders to identify and select for these alleles. We also show that the embedding of physiological understanding within genomic selection methods via crop growth models can hasten genetic gain under drought. We estimate a prediction accuracy differential (Δr) above current prediction approaches of ~30% (Δr=0.11, r=0.38), which increases with increasing complexity of the trait environment system as estimated by Shannon information theory. We propose this framework to inform breeding strategies for drought stress across geographies and crops.
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spelling pubmed-104745952023-09-03 Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize Messina, Carlos D Gho, Carla Hammer, Graeme L Tang, Tom Cooper, Mark J Exp Bot Research Papers We review approaches to maize breeding for improved drought tolerance during flowering and grain filling in the central and western US corn belt and place our findings in the context of results from public breeding. Here we show that after two decades of dedicated breeding efforts, the rate of crop improvement under drought increased from 6.2 g m(−2) year(−1) to 7.5 g m(−2) year(−1), closing the genetic gain gap with respect to the 8.6 g m(−2) year(–1) observed under water-sufficient conditions. The improvement relative to the long-term genetic gain was possible by harnessing favourable alleles for physiological traits available in the reference population of genotypes. Experimentation in managed stress environments that maximized the genetic correlation with target environments was key for breeders to identify and select for these alleles. We also show that the embedding of physiological understanding within genomic selection methods via crop growth models can hasten genetic gain under drought. We estimate a prediction accuracy differential (Δr) above current prediction approaches of ~30% (Δr=0.11, r=0.38), which increases with increasing complexity of the trait environment system as estimated by Shannon information theory. We propose this framework to inform breeding strategies for drought stress across geographies and crops. Oxford University Press 2023-06-24 /pmc/articles/PMC10474595/ /pubmed/37354091 http://dx.doi.org/10.1093/jxb/erad231 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Experimental Biology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Papers
Messina, Carlos D
Gho, Carla
Hammer, Graeme L
Tang, Tom
Cooper, Mark
Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title_full Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title_fullStr Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title_full_unstemmed Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title_short Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
title_sort two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474595/
https://www.ncbi.nlm.nih.gov/pubmed/37354091
http://dx.doi.org/10.1093/jxb/erad231
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