The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics
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
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
TASSEL: software for association mapping of complex traits in diverse samples
Bradbury, P. J., Zhang, Z., Kroon, D. E., Casstevens, T. M., Ramdoss, Y., & Buckler, E. S. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm308 · Cited by 7,759
A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J. A., Kawamoto, K., Buckler, E. S., & Mitchell, S. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019379 · Cited by 6,501
Self-citationEfficient Methods to Compute Genomic Predictions
VanRaden, P. M. (2008) · Journal of Dairy Science · doi:10.3168/jds.2007-0980 · Cited by 6,050
Yu, J., Pressoir, G., Briggs, W. H., Vroh Bi, I., Yamasaki, M., Doebley, J. F., McMullen, M. D., Gaut, B. S., Nielsen, D. M., Holland, J. B., et al. (2006) · Nature Genetics · doi:10.1038/ng1702 · Cited by 4,133
Climate Change Impacts on Global Food Security
Wheeler, T., & von Braun, J. (2013) · Science · doi:10.1126/science.1239402 · Cited by 3,487
Yield trends are insufficient to double global crop production by 2050
Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066428 · Cited by 3,415
Shifting the limits in wheat research and breeding using a fully annotated reference genome
The International Wheat Genome Sequencing Consortium (IWGSC), Appels, R., Eversole, K., Stein, N., Feuillet, C., Keller, B., Rogers, J., Pozniak, C. J., Choulet, F., Distelfeld, A., et al. (2018) · Science · doi:10.1126/science.aar7191 · Cited by 3,120
Self-citation
Cited by
Xu, Y., Zhang, X., Li, H., Zheng, H., Zhang, J., Olsen, M. S., Varshney, R. K., Prasanna, B. M., & Qian, Q. (2022) · Molecular Plant · doi:10.1016/j.molp.2022.09.001 · Cited by 363
Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
Xu, Y., Liu, X., Fu, J., Wang, H., Wang, J., Huang, C., Prasanna, B. M., Olsen, M. S., Wang, G., & Zhang, A. (2020) · Plant Communications · doi:10.1016/j.xplc.2019.100005 · Cited by 281
Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species
Zingaretti, L. M., Gezan, S. A., Ferrão, L. F. V., Osorio, L. F., Monfort, A., Muñoz, P. R., Whitaker, V. M., & Pérez-Enciso, M. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00025 · Cited by 159
Metadata
- Authors
- Juliana, P., Poland, J., Huerta-Espino, J., Shrestha, S., Crossa, J., Crespo-Herrera, L., Toledo, F. H., Govindan, V., Mondal, S., Kumar, U., Bhavani, S., Singh, P. K., Randhawa, M. S., He, X., Guzman, C., Dreisigacker, S., Rouse, M. N., Jin, Y., Pérez-Rodríguez, P., Montesinos-López, O. A., Singh, D., Mokhlesur Rahman, M., Marza, F., & Singh, R. P.
- Venue
- Nature Genetics
- Published
- 2019-09-23
- Volume
- 51
- Issue
- 10
- Pages
- 1530-1539
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2974109740
- Cited by
- 258
- References
- 74
- FWCI
- 26.00
- 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: Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics. https://app.cochat.ai/papers/10.1038/s41588-019-0496-6
- The paper
- Juliana, P., Poland, J., Huerta-Espino, J., Shrestha, S., Crossa, J., Crespo-Herrera, L., Toledo, F. H., Govindan, V., Mondal, S., Kumar, U., Bhavani, S., Singh, P. K., Randhawa, M. S., He, X., Guzman, C., Dreisigacker, S., Rouse, M. N., Jin, Y., Pérez-Rodríguez, P., . . . Singh, R. P. (2019). Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics. Nature Genetics. https://doi.org/10.1038/s41588-019-0496-6
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.