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Italian Journal of Animal Science Volume 20, 2021 - Issue 1
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The use of visible/near-infrared spectroscopy to predict fibre fractions, fibre-bound nitrogen and total-tract apparent nutrients digestibility in beef cattle diets and faeces

Marica Simonia Dipartimento di Scienze Medico-Veterinarie,University of Parma, Parma, ItalyORCID Iconhttps://orcid.org/0000-0003-3920-9744View further author information
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Arianna Goib Dipartimento di Agronomia, Alimenti, Risorse Naturali, Animali e Ambiente, University of Padova, Padova, ItalyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3341-9775View further author information
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Massimo De Marchib Dipartimento di Agronomia, Alimenti, Risorse Naturali, Animali e Ambiente, University of Padova, Padova, ItalyORCID Iconhttps://orcid.org/0000-0001-7814-2525View further author information
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Federico Righia Dipartimento di Scienze Medico-Veterinarie,University of Parma, Parma, ItalyORCID Iconhttps://orcid.org/0000-0001-9274-4143View further author information
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Pages 814-825 | Received 08 Feb 2021, Accepted 26 Apr 2021, Published online: 01 Jun 2021

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Giovanni Buonaiuto, Damiano Cavallini, Ludovica Maria Eugenia Mammi, Francesca Ghiaccio, Alberto Palmonari, Andrea Formigoni & Giulio Visentin. (2021) The accuracy of NIRS in predicting chemical composition and fibre digestibility of hay-based total mixed rations. Italian Journal of Animal Science 20:1, pages 1730-1739.
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Articles from other publishers (3)

Farhad Ahmadi, Yan-Fen Li, Eun-Chan Jeong, Li-Li Wang, Rajaraman Bharanidharan & Jong-Geun Kim. (2022) Comparative Accuracy of In Vitro Rumen Fermentation and Enzymatic Methodologies for Determination of Undigested Neutral Detergent Fiber in Forages and Development of Predictive Equations Using NIRS. Agriculture 12:11, pages 1914.
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Marica Simoni, Arianna Goi, Erika Pellattiero, Alexandros Mavrommatis, Eleni Tsiplakou, Federico Righi, Massimo De Marchi & Carmen L. Manuelian. (2022) Long-term administration of a commercial supplement enriched with bioactive compounds does not affect feed intake, health status, and growth performances in beef cattle. Archives Animal Breeding 65:1, pages 135-144.
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Arianna Goi, Jean-François Hocquette, Erika Pellattiero & Massimo De Marchi. (2022) Handheld near-infrared spectrometer allows on-line prediction of beef quality traits. Meat Science 184, pages 108694.
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