The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Barley: a translational model for adaptation to climate change
Open accessAbstract
Summary: Barley (H ordeum vulgare ssp. vulgare) is an excellent model for understanding agricultural responses to climate change. Its initial domestication over 10 millennia ago and subsequent wide migration provide striking evidence of adaptation to different environments, agro‐ecologies and uses. A bottleneck in the selection of modern varieties has resulted in a reduction in total genetic diversity and a loss of specific alleles relevant to climate‐smart agriculture. However, extensive and well‐curated collections of landraces, wild barley accessions (H. vulgare ssp. spontaneum) and other H ordeum species exist and are important new allele sources. A wide range of genomic and analytical tools have entered the public domain for exploring and capturing this variation, and specialized populations, mutant stocks and transgenics facilitate the connection between genetic diversity and heritable phenotypes. These lay the biological, technological and informational foundations for developing climate‐resilient crops tailored to specific environments that are supported by extensive environmental and geographical databases, new methods for climate modelling and trait/environment association analyses, and decentralized participatory improvement methods. Case studies of important climate‐related traits and their constituent genes – including examples that are indicative of the complexities involved in designing appropriate responses – are presented, and key developments for the future highlighted. Contents Summary 913 I. Introduction 913 II. Barley resources for climate change interventions 915 III. Predictions for barley production and genetic resources based on environmental modelling 917 IV. Examples of important genes and traits under climate change 919 V. Practical approaches for responding to climate change 922 VI. Looking to the future 926 Acknowledgements 927 References 927
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A safe operating space for humanity
Rockström, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S., Lambin, E. F., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H. J., et al. (2009) · Nature · doi:10.1038/461472a · Cited by 13,333
A statistical explanation of MaxEnt for ecologists
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2010.00725.x · Cited by 6,699
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
Wang, Y., Cheng, X., Shan, Q., Zhang, Y., Liu, J., Gao, C., & Qiu, J.-L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2969 · Cited by 2,072
Beyond Predictions: Biodiversity Conservation in a Changing Climate
Dawson, T. P., Jackson, S. T., House, J. I., Prentice, I. C., & Mace, G. M. (2011) · Science · doi:10.1126/science.1200303 · Cited by 1,990
Evolution, consequences and future of plant and animal domestication
Diamond, J. (2002) · Nature · doi:10.1038/nature01019 · Cited by 1,776
The genetic basis of flowering responses to seasonal cues
Andrés, F., & Coupland, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3291 · Cited by 1,538
A physical, genetic and functional sequence assembly of the barley genome
The International Barley Genome Sequencing Consortium (2012) · Nature · doi:10.1038/nature11543 · Cited by 1,456
Impacts and adaptation of European crop production systems to climate change
Olesen, J. E., Trnka, M., Kersebaum, K. C., Skjelvåg, A. O., Seguin, B., Peltonen-Sainio, P., Rossi, F., Kozyra, J., & Micale, F. (2011) · European Journal of Agronomy · doi:10.1016/j.eja.2010.11.003 · Cited by 1,215
Rust diseases of wheat: Concepts and methods of disease management
Roelfs, A. P., Singh, R. P., & Saari, E. E. (1992) · CIMMYT eBooks · Cited by 1,209
Cited by
The barley pan-genome reveals the hidden legacy of mutation breeding
Jayakodi, M., Padmarasu, S., Haberer, G., Bonthala, V. S., Gundlach, H., Monat, C., Lux, T., Kamal, N., Lang, D., Himmelbach, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2947-8 · Cited by 565
Self-citation
Metadata
- Authors
- Dawson, I. K., Russell, J., Powell, W., Steffenson, B., Thomas, W. T. B., & Waugh, R.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2015-01-21
- Volume
- 206
- Issue
- 3
- Pages
- 913-931
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2038166563
- Cited by
- 314
- References
- 131
- FWCI
- 24.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Barley: a translational model for adaptation to climate change. https://app.cochat.ai/papers/10.1111/nph.13266
- The paper
- Dawson, I. K., Russell, J., Powell, W., Steffenson, B., Thomas, W. T. B., & Waugh, R. (2015). Barley: a translational model for adaptation to climate change. New Phytologist. https://doi.org/10.1111/nph.13266
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.