説明可能な機械学習を用いた離乳後子豚の腸内健康と生産成績パターンの探索的同定
Julieta María Decundo1, Alejandro Duitama Leal2,3,4, Julián Andrés Salamanca Bernal2
1Laboratorio de Toxicología, Departamento de Fisiopatología, Facultad de Ciencias Veterinarias, Universidad Nacional del Centro de la Provincia de Buenos Aires, Centro de Investigación Veterinaria de Tandil (CIVETAN, UNCPBA-CICPBA- CONICET), Tandil, Argentina. jdecundo@vet.unicen.edu.ar.
機械学習により、離乳後子豚の腸内健康と成長に関する明確なパターンが特定された。揮発性脂肪酸や形態などの主要な腸内バイオマーカーが成績を予測し、豚の栄養改善戦略の標的を提供する。
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