Dmi Estimation Models

DMI Estimation Models is a class of predictive mathematical frameworks designed to approximate dry matter intake in animal nutrition by integrating biological, dietary, and environmental variables to distinguish themselves from general feeding behavior models through their specific focus on quantitative DMI prediction.

61

Publications

2.4K

Citations

271

Authors

127

Institutions

Publications per year

2017–2026

21

Authors

271

  1. ML
    M. L. Galyean

    Texas Tech University, United States

    4 publications · 96 citations

    4

    h-index

  2. KW
    K.A. Weigel

    University of Wisconsin–Madison, United States

    3 publications · 123 citations

    4

    h-index

  3. LO
    Luís O Tedeschi

    Texas A&M University, United States

    3 publications · 44 citations

    3

    h-index

  4. RB
    R.L. Baldwin

    University of California, Davis, United States

    2 publications · 39 citations

    3

    h-index

  5. YD
    Y. de Haas

    Wageningen University & Research, Netherlands

    3 publications · 158 citations

    3

    h-index

1–5 of 271

Venues

  1. Journal of Animal Science

    13 publications · 417 citations

    13

    h-index

  2. Journal of Dairy Science

    JDS · 13 publications · 559 citations

    12

    h-index

  3. animal

    4 publications · 132 citations

    4

    h-index

  4. Small Ruminant Research

    3 publications · 57 citations

    3

    h-index

  5. Asian-Australasian Journal of Animal Sciences

    2 publications · 20 citations

    2

    h-index

1–5