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The Deviation between Dairy Cow Metabolizable Energy Requirements and Pasture Supply on a Dairy Farm Using Proximal Hyperspectral Sensing

Author

Listed:
  • Federico Duranovich

    (School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

  • Nicolás López-Villalobos

    (School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

  • Nicola Shadbolt

    (School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

  • Ina Draganova

    (School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

  • Ian Yule

    (Massey AgriFood Digital Lab, School of Food and Advanced Technology, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

  • Stephen Morris

    (School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand)

Abstract

This study aimed at determining the extent to which the deviation of daily total metabolizable energy (ME t ) requirements of individual cows from the metabolizable energy (ME) supplied per cow (DME) varied throughout the production season in a pasture-based dairy farm using proximal hyperspectral sensing (PHS). Herd tests, milk production, herbage and feed allocation data were collected during the 2016–2017 and 2017–2018 production seasons at Dairy 1, Massey University, New Zealand. Herbage ME was determined from canopy reflectance acquired using PHS. Orthogonal polynomials were used to model lactation curves for yields of milk, fat, protein and live weights of cows. Daily dietary ME supplied per cow to the herd and ME requirements of cows were calculated using the Agricultural Food and Research Council (AFRC) energy system of 1993. A linear model including the random effects of breed and cow was used to estimate variance components for DME. Daily herd ME t estimated requirements oscillated between a fifth above or below the ME supplied throughout the production seasons. DME was mostly explained by observations made within a cow rather than between cows or breeds. Having daily estimates of individual cow requirements for ME t in addition to ME dietary supply can potentially contribute to achieving a more precise fit between supply and demand for feed in a pasture-based dairy farm by devising feeding strategies aimed at reducing DME.

Suggested Citation

  • Federico Duranovich & Nicolás López-Villalobos & Nicola Shadbolt & Ina Draganova & Ian Yule & Stephen Morris, 2021. "The Deviation between Dairy Cow Metabolizable Energy Requirements and Pasture Supply on a Dairy Farm Using Proximal Hyperspectral Sensing," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:3:p:240-:d:515793
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    Cited by:

    1. Federico Duranovich & Nicola Shadbolt & Ina Draganova & Nicolas López-Villalobos & Ian Yule & Stephen Morris, 2021. "The Relative Importance of Herbage Nutritive Value and Climate in Determining Daily Performance per Cow in a Pasture-Based Dairy Farm," Agriculture, MDPI, vol. 11(5), pages 1-14, May.

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