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"Experientia docet" - Experience is the best teacher

Prediction of solid digesta passage rate using liquid passage rate as one of the input variables in ruminants

  • 2018
  • Issue: 4
  • Volume: 48
M. Moyo, E.B. Gueguim Kana & I.V. Nsahlai Page: 758 - 769

This study ascertained the influence of liquid passage rates on solid digesta passage rates and the possibilities of simultaneous prediction of solid and liquid passage rates in ruminants. Artificial neural networks were used to develop models of solid and solid-plus-liquid…

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Ruminal and postruminal digestion of dietary protein and starch in steers: 2. Multivariate model prediction of non-ammonia nitro

  • 1996
  • Issue: 3
  • Volume: 26
H.H. Meissner, D.V. Paulsmeier, K-J. Leeuw and C.M. Coetzer Page: 66 - 74

Multivariate prediction models were developed from the results of three divergent trials with multicannulated steers. Diets differed in composition and physical structure. Energy contents varied from 10 to 13 MJ ME/kg DM, starch from 20 to 62%, CP from 102…

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