Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability.
- DOI
- 10.1007/s00122-026-05334-2
- Published
- 2026 Sep 18
- Container
- TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s00122-026-05334-2,
title = {Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability.},
author = {Upadhyay A and Azam R and Yuan M and Ivanovic S and Ferguson JN and Paul RE and Koyejo S and El-Kebir M and Lipka AE and Leakey ADB and Fernandes SB},
year = {2026},
journal = {TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik},
doi = {10.1007/s00122-026-05334-2},
url = {https://doi.org/10.1007/s00122-026-05334-2}
}RIS
TY - JOUR TI - Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability. AU - Upadhyay A AU - Azam R AU - Yuan M AU - Ivanovic S AU - Ferguson JN AU - Paul RE AU - Koyejo S AU - El-Kebir M AU - Lipka AE AU - Leakey ADB AU - Fernandes SB PY - 2026 JO - TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik DO - 10.1007/s00122-026-05334-2 UR - https://doi.org/10.1007/s00122-026-05334-2 ER -
APA
A, U., R, A., M, Y., S, I., JN, F., RE, P., S, K., M, E., AE, L., ADB, L., & SB, F. (2026). Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability.. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik. https://doi.org/10.1007/s00122-026-05334-2
Source records
- pubmed · retrieved 2026-09-25T03:54:38.064Z