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Genetic strategies for improving crop yields

Open access
Bailey-Serres, Julia, Parker, Jane E., Ainsworth, Elizabeth A., Oldroyd, Giles E. D., Schroeder, Julian I.·2019·Nature

Abstract

The current trajectory for crop yields is insufficient to nourish the world’s population by 20501. Greater and more consistent crop production must be achieved against a backdrop of climatic stress that limits yields, owing to shifts in pests and pathogens, precipitation, heat-waves and other weather extremes. Here we consider the potential of plant sciences to address post-Green Revolution challenges in agriculture and explore emerging strategies for enhancing sustainable crop production and resilience in a changing climate. Accelerated crop improvement must leverage naturally evolved traits and transformative engineering driven by mechanistic understanding, to yield the resilient production systems that are needed to ensure future harvests. Genetic strategies for improving the yield and sustainability of agricultural crops, and the resilience of crops in the face of biotic and abiotic stresses contingent on projected climate change, are evaluated.

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Crossref · 10.1038/s41586-019-1679-0

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Metadata

Authors
Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I.
Venue
Nature
Published
2019-11-06
Volume
575
Issue
7781
Pages
109-118
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2988596226
Cited by
1,506
References
6
FWCI
184.89
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Genetic strategies for improving crop yields. https://app.cochat.ai/papers/10.1038/s41586-019-1679-0
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Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019). Genetic strategies for improving crop yields. Nature. https://doi.org/10.1038/s41586-019-1679-0

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.