牛乳のFT-MIRスペクトル解析を用いた牧草と草の消費に焦点を当てた飼料の割合と飼料戦略の確率のモデル化
Killian Dichou1, Charles Nickmilder1, Gérard Conter2
1TERRA Research and Teaching Centre, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.
Journal of dairy science
|September 5, 2025
まとめ
フーリエ変換の中赤外線 (FT-MIR) のスペクトルを用いた牛乳分析は,牛乳牛の放牧慣行を効果的に検証できます. この研究では,乳の成分からインジケーターを開発し,草の摂取量を推定し,牧草時間を検証し,持続可能な酪農を支援しました.
科学分野:
- 農業科学
- 分析化学
- 動物の栄養
背景:
- 牧場保護の評価と促進には 堅固な検証システムが必要です
- 乳の成分分析は乳牛の放牧行動を評価するための有望な手段です.
研究 の 目的:
- 乳牛の食事における草の割合を推定するためのミルクスペクトル分析指標を開発し,検証する.
- 牛乳のフーリエ変換中赤外線 (FT-MIR) データを用いた放牧の検証システムを構築する.
主な方法:
- 乳のFT-MIRスペクトルを使って成分濃度を予測した.
- 部分最小二乗差分分析と回帰を用いた指標を開発した.
- 大規模なスペクトルデータを含むルクセンブルクとワロニアのデータセットで検証されたモデル.
主要な成果:
- 草食や他の飼料を基に牛を分類する高精度 (0.93) を達成した.
- 食事中のハーベジの割合を予測し,クロス検証の誤差は8.77%であった.
- 特定された乳の主要成分 (脂肪酸,CLA,酸性,シトラート,ラクトフェリン) は,牧草の兆候です.
結論:
- 乳のFT-MIRスペクトル解析は,草の摂取量を推定し,放牧を検証するための有効なツールです.
- 開発された指標は,乳牛の牧草へのアクセスに関する実用的なモニタリングを支援します.
- 詳細な飼料成分データによるさらなる研究により,これらの牧草指標の正確性が改善されます.
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