|
|
|
|
| LEADER |
01000caa a22002652c 4500 |
| 001 |
NLM358554616 |
| 003 |
DE-627 |
| 005 |
20250304225321.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231226s2023 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1093/jxb/erad231
|2 doi
|
| 028 |
5 |
2 |
|a pubmed25n1194.xml
|
| 035 |
|
|
|a (DE-627)NLM358554616
|
| 035 |
|
|
|a (NLM)37354091
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Messina, Carlos D
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
|
| 264 |
|
1 |
|c 2023
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 04.09.2023
|
| 500 |
|
|
|a Date Revised 15.09.2023
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Experimental Biology.
|
| 520 |
|
|
|a 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
|
| 650 |
|
4 |
|a Review
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, U.S. Gov't, Non-P.H.S.
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 650 |
|
4 |
|a Crop growth models
|
| 650 |
|
4 |
|a Shannon information theory
|
| 650 |
|
4 |
|a drought tolerance
|
| 650 |
|
4 |
|a genomic selection
|
| 650 |
|
4 |
|a maize
|
| 650 |
|
4 |
|a plant breeding
|
| 650 |
|
4 |
|a standing genetic variation
|
| 700 |
1 |
|
|a Gho, Carla
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Hammer, Graeme L
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Tang, Tom
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Cooper, Mark
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of experimental botany
|d 1985
|g 74(2023), 16 vom: 02. Sept., Seite 4847-4861
|w (DE-627)NLM098182706
|x 1460-2431
|7 nnas
|
| 773 |
1 |
8 |
|g volume:74
|g year:2023
|g number:16
|g day:02
|g month:09
|g pages:4847-4861
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1093/jxb/erad231
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 74
|j 2023
|e 16
|b 02
|c 09
|h 4847-4861
|