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Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions

Author

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  • Antonio Leandro Chaves Gurgel

    (Campus Professora Cinobelina Elvas, Federal University of Piauí, Bom Jesus 64900-000, Piauí, Brazil
    Department of Animal Science, State University of Maringá, Maringá 87020-900, Paraná, Brazil)

  • Geraldo Tadeu dos Santos

    (Department of Animal Science, State University of Maringá, Maringá 87020-900, Paraná, Brazil)

  • Luís Carlos Vinhas Ítavo

    (College of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Mato Grosso do Sul, Brazil)

  • Camila Celeste Brandão Ferreira Ítavo

    (College of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Mato Grosso do Sul, Brazil)

  • Gelson dos Santos Difante

    (College of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Mato Grosso do Sul, Brazil)

  • Alexandre Menezes Dias

    (College of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Mato Grosso do Sul, Brazil)

  • Vanessa Zirondi Longhini

    (College of Veterinary Medicine and Animal Science, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Mato Grosso do Sul, Brazil)

  • Tairon Pannunzio Dias-Silva

    (Campus Professora Cinobelina Elvas, Federal University of Piauí, Bom Jesus 64900-000, Piauí, Brazil)

  • Marcos Jácome de Araújo

    (Campus Professora Cinobelina Elvas, Federal University of Piauí, Bom Jesus 64900-000, Piauí, Brazil)

  • João Virgínio Emerenciano Neto

    (Academic Unit Specialized in Agricultural Sciences, Federal University of Rio Grande do Norte, Macaíba 59280-000, Rio Grande do Norte, Brazil)

  • Patrick Bezerra Fernandes

    (Goiás Federal Institute, Campus Rio Verde, Rio Verde 75901-970, Goiás, Brazil)

  • Alfonso Juventino Chay-Canul

    (División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Villahermosa 86298, Tabasco, México)

Abstract

This study aimed to create an equation to predict dry matter intake (DMI) and milk production and N-ureic in the milk of dairy cows managed in tropical conditions in Brazil. We used 113 observations from three experiments using lactating Jersey, Girolando, and Holstein cows. The goodness of fit of the developed equations was evaluated using the coefficients of determination (r 2 ) and root mean square error (RMSE). There was a positive correlation between body weight and milk yield (MY) of r = 0.73. The equation considered DMI to be the most important variable to estimate the MY (r 2 = 0.65). Four equations were adjusted to estimate the DMI, where, by a stepwise procedure, the first variable included in the equation was the neutral detergent fibre intake, which explained 92% of the DMI of the cows. However, when the variables BW, MY, and milk fat were included in the equation, there was a reduction of 0.06 in RMSE and an increase in precision (r 2 = 0.94). The nutrient intake, milk production, and characteristics prediction equations present satisfactory precision and accuracy for dairy cows managed in tropical conditions in Brazil.

Suggested Citation

  • Antonio Leandro Chaves Gurgel & Geraldo Tadeu dos Santos & Luís Carlos Vinhas Ítavo & Camila Celeste Brandão Ferreira Ítavo & Gelson dos Santos Difante & Alexandre Menezes Dias & Vanessa Zirondi Longh, 2023. "Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions," Agriculture, MDPI, vol. 13(7), pages 1-11, July.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:7:p:1446-:d:1199945
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    References listed on IDEAS

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    1. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
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