{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T21:07:31Z","timestamp":1789852051541,"version":"4.0.1"},"reference-count":23,"publisher":"American Dairy Science Association","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009616","name":"Direction G\u00e9n\u00e9rale Op\u00e9rationnelle Agriculture, Ressources Naturelles et Environnement du Service Public de Wallonie","doi-asserted-by":"publisher","award":["D31-1390"],"award-info":[{"award-number":["D31-1390"]}],"id":[{"id":"10.13039\/501100009616","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009616","name":"Direction G\u00e9n\u00e9rale Op\u00e9rationnelle Agriculture, Ressources Naturelles et Environnement du Service Public de Wallonie","doi-asserted-by":"publisher","award":["D65-1435"],"award-info":[{"award-number":["D65-1435"]}],"id":[{"id":"10.13039\/501100009616","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009616","name":"Direction G\u00e9n\u00e9rale Op\u00e9rationnelle Agriculture, Ressources Naturelles et Environnement du Service Public de Wallonie","doi-asserted-by":"publisher","award":["D31-1392"],"award-info":[{"award-number":["D31-1392"]}],"id":[{"id":"10.13039\/501100009616","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009616","name":"Direction G\u00e9n\u00e9rale Op\u00e9rationnelle Agriculture, Ressources Naturelles et Environnement du Service Public de Wallonie","doi-asserted-by":"publisher","award":["D65-1420"],"award-info":[{"award-number":["D65-1420"]}],"id":[{"id":"10.13039\/501100009616","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journalofdairyscience.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Dairy Science"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.3168\/jds.2026-28998","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T17:20:48Z","timestamp":1789665648000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["A data-driven physiological profile classification for dairy cows using milk mid-infrared spectra and machine learning"],"prefix":"10.3168","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8593-4384","authenticated-orcid":false,"given":"Y.","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6853-6608","authenticated-orcid":false,"given":"H.","family":"Atashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6298-5149","authenticated-orcid":false,"given":"S.","family":"Franceschini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3313-485X","authenticated-orcid":false,"given":"C.","family":"Grelet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5235-2145","authenticated-orcid":false,"given":"C.","family":"Nickmilder","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4937-0064","authenticated-orcid":false,"given":"P.","family":"Lemal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5518-4933","authenticated-orcid":false,"given":"K.","family":"Wijnrocx","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9883-9047","authenticated-orcid":false,"given":"H.","family":"Soyeurt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5981-5509","authenticated-orcid":false,"given":"N.","family":"Gengler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1747","reference":[{"key":"10.3168\/jds.2026-28998_bib1","doi-asserted-by":"crossref","first-page":"7426","DOI":"10.3168\/jds.2015-9377","article-title":"Invited review: Changes in the dairy industry affecting dairy cattle health and welfare","volume":"98","author":"Barkema","year":"2015","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib2","doi-asserted-by":"crossref","first-page":"6376","DOI":"10.3168\/jds.2025-27722","article-title":"Prediction of welfare scores throughout lactation by random regression test-day models in Walloon Holstein dairy cows","volume":"109","author":"Chen","year":"2026","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib3","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11250-025-04423-6","article-title":"A systematic review and meta-analysis: relationship between residual feed intake and traits related to methane emissions in cattle","volume":"57","author":"da Silva Soares","year":"2025","journal-title":"Trop. Anim. Health Prod."},{"key":"10.3168\/jds.2026-28998_bib4","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.3168\/jds.S0022-0302(99)75474-3","article-title":"ADSA foundation scholar award: Biology of dairy cows during the transition period: The final frontier?","volume":"82","author":"Drackley","year":"1999","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib5","doi-asserted-by":"crossref","first-page":"2866","DOI":"10.3168\/jds.S0022-0302(98)75846-1","article-title":"Efficacy of Monensin for the Prevention of Subclinical Ketosis in Lactating Dairy Cows","volume":"81","author":"Duffield","year":"1998","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib6","doi-asserted-by":"crossref","DOI":"10.3168\/jdsc.2026-1060","article-title":"Assessing the reproducibility of FT-MIR-derived biomarker clusters across lactations and their direct prediction from milk spectra","author":"Franceschini","year":"2026","journal-title":"JDS Commun"},{"key":"10.3168\/jds.2026-28998_bib7","first-page":"1","article-title":"Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry","volume":"15","author":"Franceschini","year":"2025","journal-title":"Animals (Basel)"},{"key":"10.3168\/jds.2026-28998_bib8","doi-asserted-by":"crossref","first-page":"6760","DOI":"10.3168\/jds.2022-21975","article-title":"Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?","volume":"105","author":"Franceschini","year":"2022","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib9","doi-asserted-by":"crossref","first-page":"8732","DOI":"10.1021\/acs.jafc.0c02129","article-title":"Metabolomic Profiling of Bos taurus Beef, Dairy, and Crossbred Cattle: A Between-Breeds Meta-Analysis","volume":"68","author":"G\u00f3mez","year":"2020","journal-title":"J. Agric. Food Chem."},{"key":"10.3168\/jds.2026-28998_bib10","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.ymeth.2020.07.012","article-title":"Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions","volume":"186","author":"Grelet","year":"2021","journal-title":"Methods"},{"key":"10.3168\/jds.2026-28998_bib11","doi-asserted-by":"crossref","first-page":"2150","DOI":"10.3168\/jds.2014-8764","article-title":"Standardization of milk mid-infrared spectra from a European dairy network","volume":"98","author":"Grelet","year":"2015","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib12","series-title":"Proc. Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science","first-page":"403","article-title":"Prediction of energy status of dairy cows using MIR milk spectra","author":"Grelet","year":"2017"},{"key":"10.3168\/jds.2026-28998_bib13","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1017\/S0022029911000550","article-title":"Milk fatty acid profile related to energy balance in dairy cows","volume":"78","author":"Gross","year":"2011","journal-title":"J. Dairy Res."},{"key":"10.3168\/jds.2026-28998_bib14","doi-asserted-by":"crossref","first-page":"2154","DOI":"10.3390\/ani11082154","article-title":"Identifying health status in grazing dairy cows from milk mid-infrared spectroscopy by using machine learning methods","volume":"11","author":"Hern\u00e1ndez","year":"2021","journal-title":"Animals (Basel)"},{"key":"10.3168\/jds.2026-28998_bib15","doi-asserted-by":"crossref","first-page":"5095","DOI":"10.2527\/jas.2013-6585","article-title":"SPECIAL TOPICS-Mitigation of methane and nitrous oxide emissions from animal operations: III. A review of animal management mitigation options","volume":"91","author":"Hristov","year":"2013","journal-title":"J. Anim. Sci."},{"key":"10.3168\/jds.2026-28998_bib16","doi-asserted-by":"crossref","first-page":"3231","DOI":"10.3168\/jds.2013-7234","article-title":"Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions","volume":"97","author":"Knapp","year":"2014","journal-title":"J. Dairy Sci."},{"issue":"Suppl","key":"10.3168\/jds.2026-28998_bib17","doi-asserted-by":"crossref","first-page":"S29","DOI":"10.1262\/jrd.1056S29","article-title":"Monitoring metabolic health of dairy cattle in the transition period","volume":"56","author":"LeBlanc","year":"2010","journal-title":"J. Reprod. Dev."},{"key":"10.3168\/jds.2026-28998_bib18","doi-asserted-by":"crossref","first-page":"13739","DOI":"10.3168\/jds.2024-26216","article-title":"Predicting postpartum diseases in Holstein cows using milk spectra and machine learning\u2014Retrospective assessment from diagnosis date","volume":"108","author":"Lin","year":"2025","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib19","doi-asserted-by":"crossref","first-page":"5863","DOI":"10.3168\/jds.2014-8214","article-title":"Mid-infrared spectrometry of milk as a predictor of energy intake and efficiency in lactating dairy cows","volume":"97","author":"McParland","year":"2014","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib20","doi-asserted-by":"crossref","first-page":"1596","DOI":"10.3168\/jds.2009-2852","article-title":"Associations of elevated nonesterified fatty acids and \u03b2-hydroxybutyrate concentrations with early lactation reproductive performance and milk production in transition dairy cattle in the northeastern United States","volume":"93","author":"Ospina","year":"2010","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib21","doi-asserted-by":"crossref","first-page":"5769","DOI":"10.3168\/jds.2009-2431","article-title":"Body condition score and its association with dairy cow productivity, health, and welfare","volume":"92","author":"Roche","year":"2009","journal-title":"J. Dairy Sci."},{"key":"10.3168\/jds.2026-28998_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.idairyj.2023.105848","article-title":"Discriminating milk storage time with mid-infrared spectra combined with machine learning","volume":"152","author":"Su","year":"2024","journal-title":"Int. Dairy J."},{"key":"10.3168\/jds.2026-28998_bib23","doi-asserted-by":"crossref","first-page":"3394","DOI":"10.1002\/jsfa.10969","article-title":"Improving robustness and accuracy of predicted daily methane emissions of dairy cows using milk mid-infrared spectra","volume":"101","author":"Vanlierde","year":"2021","journal-title":"J. Sci. Food Agric."}],"container-title":["Journal of Dairy Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022030226032820?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022030226032820?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T20:54:27Z","timestamp":1789851267000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022030226032820"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":23,"alternative-id":["S0022030226032820"],"URL":"https:\/\/doi.org\/10.3168\/jds.2026-28998","relation":{},"ISSN":["0022-0302"],"issn-type":[{"value":"0022-0302","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A data-driven physiological profile classification for dairy cows using milk mid-infrared spectra and machine learning","name":"articletitle","label":"Article Title"},{"value":"Journal of Dairy Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.3168\/jds.2026-28998","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s).","name":"copyright","label":"Copyright"}]}}