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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10474595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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