{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T02:47:27Z","timestamp":1772765247023,"version":"3.50.1"},"reference-count":128,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T00:00:00Z","timestamp":1747094400000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"BOLERO","award":["101060393"],"award-info":[{"award-number":["101060393"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Traits in any organism are not independent, but show considerable integration, observed in a form of couplings and trade-offs. Therefore, improvement in one trait may affect other traits, often in undesired direction. To account for this problem, crop breeding increasingly relies on multi-trait genomic prediction (MT-GP) approaches that leverage the availability of genetic markers from different populations along with advances in high-throughput precision phenotyping. While significant progress has been made to jointly model multiple traits using a variety of statistical and machine learning approaches, there is no systematic comparison of advantages and shortcomings of the existing classes of MT-GP models. Here, we fill this knowledge gap by first classifying the existing MT-GP models and briefly summarizing their general principles, modeling assumptions, and potential limitations. We then perform an extensive comparative analysis with 10 traits measured in an Oryza sativa diversity panel using cross-validation scenarios relevant in breeding practice. Finally, we discuss directions that can enable the building of next generation MT-GP models in addressing pressing challenges in crop breeding.<\/jats:p>","DOI":"10.1093\/bib\/bbaf211","type":"journal-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T08:35:26Z","timestamp":1747125326000},"source":"Crossref","is-referenced-by-count":4,"title":["Advances in multi-trait genomic prediction approaches: classification, comparative analysis, and perspectives"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1170-8672","authenticated-orcid":false,"given":"Alain J","family":"Mbebi","sequence":"first","affiliation":[{"name":"Bioinformatics Department , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"University of Potsdam , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology , Am M\u00fchlenberg 1, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]}]},{"given":"Facundo","family":"Mercado","sequence":"additional","affiliation":[{"name":"Bioinformatics Department , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"University of Potsdam , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]}]},{"given":"David","family":"Hobby","sequence":"additional","affiliation":[{"name":"Bioinformatics Department , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"University of Potsdam , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]}]},{"given":"Hao","family":"Tong","sequence":"additional","affiliation":[{"name":"Bioinformatics Department , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"University of Potsdam , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology , Am M\u00fchlenberg 1, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2671-6763","authenticated-orcid":false,"given":"Zoran","family":"Nikoloski","sequence":"additional","affiliation":[{"name":"Bioinformatics Department , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"University of Potsdam , Institute of Biochemistry and Biology, , Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]},{"name":"Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology , Am M\u00fchlenberg 1, 14476 Potsdam-Golm, Brandenburg ,","place":["Germany"]}]}],"member":"286","published-online":{"date-parts":[[2025,5,13]]},"reference":[{"key":"2025052702073503400_ref1","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1038\/s43016-021-00322-9","article-title":"A meta-analysis of projected global food demand and population at risk of hunger for the period 2010\u20132050","volume":"2","author":"Van Dijk","year":"2021","journal-title":"Nat Food"},{"key":"2025052702073503400_ref2","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1126\/science.1183700","article-title":"Breeding technologies to increase crop production in a changing 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