Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle.
- DOI
- 10.1111/asj.13883
- Published
- 2023 Jan-Dec
- Container
- Animal science journal = Nihon chikusan Gakkaiho
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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:10.1111/asj.13883,
title = {Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle.},
author = {Nishio M and Inoue K and Arakawa A and Ichinoseki K and Kobayashi E and Okamura T and Fukuzawa Y and Ogawa S and Taniguchi M and Oe M and Takeda M and Kamata T and Konno M and Takagi M and Sekiya M and Matsuzawa T and Inoue Y and Watanabe A and Kobayashi H and Shibata E and Ohtani A and Yazaki R and Nakashima R and Ishii K},
year = {2023},
journal = {Animal science journal = Nihon chikusan Gakkaiho},
doi = {10.1111/asj.13883},
url = {https://doi.org/10.1111/asj.13883}
}RIS
TY - JOUR TI - Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle. AU - Nishio M AU - Inoue K AU - Arakawa A AU - Ichinoseki K AU - Kobayashi E AU - Okamura T AU - Fukuzawa Y AU - Ogawa S AU - Taniguchi M AU - Oe M AU - Takeda M AU - Kamata T AU - Konno M AU - Takagi M AU - Sekiya M AU - Matsuzawa T AU - Inoue Y AU - Watanabe A AU - Kobayashi H AU - Shibata E AU - Ohtani A AU - Yazaki R AU - Nakashima R AU - Ishii K PY - 2023 JO - Animal science journal = Nihon chikusan Gakkaiho DO - 10.1111/asj.13883 UR - https://doi.org/10.1111/asj.13883 ER -
APA
M, N., K, I., A, A., K, I., E, K., T, O., Y, F., S, O., M, T., M, O., M, T., T, K., M, K., M, T., M, S., T, M., Y, I., A, W., H, K., E, S., A, O., R, Y., R, N., & K, I. (2023). Application of linear and machine learning models to genomic prediction of fatty acid composition in Japanese Black cattle.. Animal science journal = Nihon chikusan Gakkaiho. https://doi.org/10.1111/asj.13883
Source records
- pubmed · retrieved 2026-09-25T14:29:23.697Z