{"id":9188,"date":"2026-10-05T12:00:00","date_gmt":"2026-10-05T03:00:00","guid":{"rendered":"https:\/\/aizoth.com\/?p=9188"},"modified":"2026-10-05T16:29:24","modified_gmt":"2026-10-05T07:29:24","slug":"bia_wagyu_2026","status":"publish","type":"post","link":"https:\/\/aizoth.com\/en\/2026\/10\/bia_wagyu_2026\/","title":{"rendered":"Research on Wagyu Marbling Prediction Using Multi-Sigma\u00ae Published in Livestock Science"},"content":{"rendered":"\n

A research group led by Associate Professor Tetsuhito Suzuki used Multi-Sigma\u00ae<\/a><\/strong> to build a neural network model and analyze data on marbling in Japanese Black cattle (Wagyu) for their study, \u201cInfluence of body measurement values, feeding and blood vitamin-A concentration upon marbling score in Japanese Black cattle (Wagyu).\u201d<\/em><\/p>\n\n\n\n

In the study, body measurements such as body weight, height, and chest circumference, along with feeding-related parameters and blood vitamin A concentrations, were analyzed using a neural network model. The results demonstrated that Beef Marbling Standard (BMS) scores, which indicate the degree of marbling in beef, can be predicted with high accuracy.<\/p>\n\n\n\n

Sensitivity analysis and Monte Carlo simulation were also used to quantitatively assess how reductions in blood vitamin A concentrations during the fattening period affect BMS scores. The model developed in this study showed the potential to predict BMS scores even with a relatively small sample size and is expected to serve as a tool to support livestock management in Wagyu production.<\/p>\n\n\n\n

For further details, please refer to the paper below.<\/p>\n\n\n\n

Publication Details<\/strong><\/p>\n\n\n\n

Title<\/strong>
Influence of body measurement values, feeding and blood vitamin-A concentration upon marbling score in Japanese Black cattle (Wagyu)<\/em><\/p>\n\n\n\n

Authors<\/strong>
Tetsuhito Suzuki, Moriyuki Fukushima, Mizuki Shibasaki, Tianqi Gao, Pablo Guarnido-Lopez, Namiko Kohama, Shin-ichi Nagaoka, and Naoshi Kondo<\/p>\n\n\n\n

Journal<\/strong>
Livestock Science<\/em><\/p>\n\n\n\n

Publication Year<\/strong>
2026<\/p>\n\n\n\n

DOI<\/strong>
https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1871141326001447<\/a><\/p>\n\n\n\n

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<\/p>\n","protected":false},"excerpt":{"rendered":"A research group led by Associate Professor Tetsuhito Suzuki used Multi-Sigma\u00ae to build a neural network model … Research on Wagyu Marbling Prediction Using Multi-Sigma\u00ae Published in Livestock Science<\/span><\/a>","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_locale":"en_US","footnotes":""},"categories":[17],"tags":[],"class_list":["post-9188","post","type-post","status-publish","format-standard","hentry","category-news","en-US"],"acf":[],"_links":{"self":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcomments&post=9188"}],"version-history":[{"count":2,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9188\/revisions"}],"predecessor-version":[{"id":9265,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9188\/revisions\/9265"}],"wp:attachment":[{"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcategories&post=9188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Ftags&post=9188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}