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Development of dry matter intake estimation equations using the milk fatty acid composition in dairy cows

Research Project

Project/Area Number 18K05933
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 42010:Animal production science-related
Research InstitutionAzabu University (2020)
Tohoku University (2018-2019)

Principal Investigator

Terada Fuminori  麻布大学, 獣医学部, 客員教授 (50355111)

Co-Investigator(Kenkyū-buntansha) 生田 健太郎  兵庫県立農林水産技術総合センター, 淡路農業技術センター, 管理研究者 (20463408)
石川 翔  兵庫県立農林水産技術総合センター, 淡路農業技術センター, 上席・主任研究員 (20734859)
小櫃 剛人  広島大学, 統合生命科学研究科(生), 教授 (30194632)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords乾物摂取量 / 中赤外分光法 / 乳脂肪酸 / 推定式 / 乳牛 / 乳脂肪酸組成
Outline of Final Research Achievements

Accurate information on dry-matter intake (DMI) is needed for advanced dairy cow feeding management. Therefore, we developed DMI estimation equations using the milk fatty acid (MFA) composition, which indicates the energy sufficiency status of dairy cows. The MFA values measured by mid-infrared spectroscopy (MIR) and gas chromatography showed a correlation of 0.61~0.85 at C14:0, C16:0, C18:0, and C18:1, indicating that MIR can be used as a simple analytical method for MFA composition. The DMI estimation equations developed using feeding performance data and MFA information, obtained by MIR, of 55 dairy cows in the early lactation period and 178 dairy cows in the mid-to-late lactation period had sufficient accuracy for practical use in each period.

Academic Significance and Societal Importance of the Research Achievements

我が国の酪農産業では、エネルギーバランスの乱れから疾病が多発する泌乳初期の栄養管理技術の高度化が強く要望されている。栄養管理技術の基本は乾物摂取量(DMI)の把握であるが、現場でこれを効率的に行う手段がいまだに確立されていない。本課題で開発した乳脂肪酸組成に基づくDMI予測方法は現場で情報収集を行うことが可能な非侵襲的手法であり、実用技術としての幅広い展開が期待できる。また、中赤外分光法の新たな活用方策を提起した点でも大きな意義がある。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (4 results)

All 2020 2019 2018

All Presentation (4 results) (of which Int'l Joint Research: 2 results)

  • [Presentation] イネホールクロップおよび籾米サイレージの併給が乳生産および乳脂肪酸組成に及ぼす 影響2020

    • Author(s)
      田中 僚・進藤慧治・小櫃剛人・杉野利久・黒川勇三・沖田美紀・生田健太郎
    • Organizer
      第70回関西畜産学会大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Prediction of dry matter intake using milk fatty acid composition for dairy cows during early lactation2019

    • Author(s)
      Terada, F., Ohtani, Y., Ikuta, K., Ishikawa, S.
    • Organizer
      13th International Symposium on Ruminant Physiology
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 乳中脂肪酸組成を用いたホルスタイン種泌乳牛の乾物摂取量推定2019

    • Author(s)
      生田健太郎・寺田文典・大谷喜永・榎本全能 ・石川 翔・小原嘉昭
    • Organizer
      第126回日本畜産学会大会
    • Related Report
      2019 Research-status Report
  • [Presentation] Effect of Milking Frequency on Within-Day Variation of Milk Fatty Acid Composition in Automatic Milking System2018

    • Author(s)
      Terada, F., Iwata, T., Tomaru, T., Jitsunari, N., Ikuta, K.
    • Organizer
      18th Asian-Australasian Animal Production Congress
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research

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Published: 2018-04-23   Modified: 2022-01-27  

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