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PMID: 25752530 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Review

Genetic mechanisms of abiotic stress tolerance that translate to crop yield stability.

Nature reviews. Genetics ·Vol. 16 ·No. 4 ·2015-04-00 ·Pages 237-51

Mickelbart MV, Hasegawa PM, Bailey-Serres J

Abstract

Crop yield reduction as a consequence of increasingly severe climatic events threatens global food security. Genetic loci that ensure productivity in challenging environments exist within the germplasm of crops, their wild relatives and species that are adapted to extreme environments. Selective breeding for the combination of beneficial loci in germplasm has improved yields in diverse environments throughout the history of agriculture. An effective new paradigm is the targeted identification of specific genetic determinants of stress adaptation that have evolved in nature and their precise introgression into elite varieties. These loci are often associated with distinct regulation or function, duplication and/or neofunctionalization of genes that maintain plant homeostasis.

MeSH Terms
Adaptation, Physiological/genetics Crops, Agricultural/chemistry,genetics Genetic Engineering Plants, Genetically Modified/genetics Quantitative Trait Loci Stress, Physiological/genetics
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Mickelbart Michael V
Department of Botany and Plant Pathology, Purdue University, West Lafayette, Indiana 47907, USA.
Hasegawa Paul M
Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, Indiana 47907, USA.
Bailey-Serres Julia
1] Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California Riverside, California 92521, USA. [2] Institute of Environmental Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
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Article Info
Journal
Nature reviews. Genetics
Abbr.
Nat Rev Genet
ISSN
1471-0064
Published
2015-04-00
Epub
2015-00-10
Pages
237-51
Language
English
Region
England
NLM ID
100962779
Subset
IM
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