The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Revolutions in agriculture chart a course for targeted breeding of old and new crops
Abstract
Growing more and better food: Increasing human populations demand more productive agriculture, which in turn relies on crop plants adjusted for high-yield systems. Eshed and Lippman review how genetic tuning of the signaling systems that regulate flowering and plant architecture can be applied to crops. Crops that flower sooner might be adaptable to regions with shorter growing seasons, and compact plant shapes might facilitate agricultural management. The universality of these plant hormone systems facilitates application to a range of crops, from the orphan crop teff to the well-known wheat. Science , this issue p. eaax0025
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 Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Cited by
Chen, Z. J., Sreedasyam, A., Ando, A., Song, Q., De Santiago, L. M., Hulse-Kemp, A. M., Ding, M., Ye, W., Kirkbride, R. C., Jenkins, J., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0614-5 · Cited by 462
Kuang, Y., Li, S., Ren, B., Yan, F., Spetz, C., Li, X., Zhou, X., & Zhou, H. (2020) · Molecular Plant · doi:10.1016/j.molp.2020.01.010 · Cited by 266
Metadata
- Authors
- Eshed, Y., & Lippman, Z. B.
- Venue
- Science
- Published
- 2019-11-08
- Volume
- 366
- Issue
- 6466
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2971652534
- Cited by
- 263
- References
- 1
- FWCI
- 24.00
- Type
- journal article
- Language
- en
- Open access
- closed
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: Revolutions in agriculture chart a course for targeted breeding of old and new crops. https://app.cochat.ai/papers/10.1126/science.aax0025
- The paper
- Eshed, Y., & Lippman, Z. B. (2019). Revolutions in agriculture chart a course for targeted breeding of old and new crops. Science. https://doi.org/10.1126/science.aax0025
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.