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Italian Journal of Animal Science Volume 17, 2018 - Issue 1
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Ruminants nutrition and feeding

Use of FT-NIRS for determination of chemical components and nutritional value of natural pasture

Silvia ParriniDipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, University of Firenze, Firenze, ItalyCorrespondence[email protected]
,
Anna AcciaioliDipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, University of Firenze, Firenze, Italy
,
Alessandro CrovettiDipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, University of Firenze, Firenze, Italy
&
Riccardo BozziDipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, University of Firenze, Firenze, Italy
Pages 87-91 | Received 13 Jul 2016, Accepted 19 May 2017, Published online: 07 Jul 2017

References

  • Alomar D, Fuchslocher R, Cuevas J, Mardones R, Cuevas E. 2009. Prediction of the composition of fresh pastures by near infrared reflectance or interactance-reflectance spectroscopy. Chil J Agric Res. 69:198–206.
  • Andrés S, Giráldez FJ, López S, Mantecón AR, Calleja A. 2005. Nutritive evaluation of herbage from permanent meadows by near-infrared reflectance spectroscopy: 1. Prediction of chemical composition and in vitro digestibility. J Sci Food Agric. 85:1564–1571.
  • Danieli PP, Carlini P, Bernabucci U, Ronchi B. 2004. Quality evaluation of regional forage resources by means of near infrared reflectance spectroscopy. Ital J Anim Sci. 3:363–376.
  • Fekadu D, Bediye S, Kehaliw A, Daba T, Getu Kitaw G, Assefa G. 2010. Near Infrared Reflectance Spectroscopy (NIRS) for determination of chemical entities of natural pasture from Ethiopia. ABJNA. Print: ISSN Online: 2151-7525, doi:10.5251/abjna.2010.1.5.919.9222151-7517.
  • Garcıa-Ciudad A, Garcıa-Criado B, Perez-Corona ME, Vazquez de Aldana BR, Ruano-Ramos A. 1993. Application of near infrared reflectance spectroscopy to chemical analysis of heterogeneous and botanically complex grassland samples. J Sci Food Agric. 63:419–426.
  • Goldshleger N, Chudnovsky A, Ben-Binyam R. 2013. Predicting salinity in tomato using soil reflectance spectra. J Remote Sens. 34:6079–6093.
  • INRA. 2010. Alimentation des bovins, ovins et caprins [Feeding of cattle, sheep and goats]. Versailles: Quae INRA. French.
  • Lobos I, Gou P, Hube S, Saldana R, Alfaro M. 2013. Evaluation of potential nirs to predict pastures nutritive value. J Soil Sci Plant Nutr. 13:463–468.
  • Martillotti F, Antongiovanni M, Rizzi L, Santi E, Bittante G. 1987. Metodi di analisi per gli alimenti di impiego zootecnico. Quaderni metodologici n. 8. [Methods of analysis for livestock feed. Methodological notes no. 8.]. Roma: CNR-IPRA. Italian.
  • Moya L. 1993. Aplicación de la tecnología NIRS al control de calidad en la industria de piensos [Application of NIRS technology to quality control to the animal feed industry]. [Master?s thesis]. Cordoba (ES): University of Cordoba.
  • Roberts CA, Workman J, Reeves JB. 2003. Near infrared spectroscopy in agriculture. Agronomy. 44, American Society of Agronomy, Inc. Madison, WI, USA.
  • Thermo Fisher Scientific. 2011. TQ Analyst software: user guide. Madison (WI).
  • Van Soest PJ, Robertson JB, Lewis BA. 1991. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci. 74:3583–3597.
  • Stuth J, Jama A, Tolleson D. 2003. Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy. Field Crops Res. 84:45–56.
  • Williams PC, Sobering DC. 1993. Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. J Near Infrared Spectrosc. 1:25–32.

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