The objective of the present work was to develope calibration equations for the prediction of chemical composition and forage digestibility from different populations of alfalfa hay harvested in Parmigiano Reggiano cheese production area of Northern Italy. Due to annual climatic variations that affect soil and growing conditions adn consequently cause high variability in chemical and physical composition, 319 hay samples from four years were used to build robust calibration. NIRS calibration equations were developed for the prediction of in vitro NDF digestibility (IVNDFd) and 20 chemical parameters (DM, starch, fat, sugars, fiber fractions, crude protein, nitrogen fractions and some minerals) of Italian hay. The results obtained show that NIRS equations greatly explain the variation in the composition existing in alfalfa hays grown in Northern Italy, exept for a few parameters characterized by low variability range value. The equations obtained for the prediction of biological and chemical parameters explain the major part of the variation existing in the reference data, which open great prospects for the use of NIRS in planning feeding strategies of livestock, based on alfalfa forage

N. Brogna, M.T. Pacchioli, A. Immovilli, F. Ruozzi, R.T. Ward, A. Formigoni (2009). The use of near-infrared reflectance spectroscopy (NIRS) in the prediction of chemical composition and in vitro neutral detergent fiber (NDF) digestibility of Italian hay. BOLOGNA : Avenue Media.

The use of near-infrared reflectance spectroscopy (NIRS) in the prediction of chemical composition and in vitro neutral detergent fiber (NDF) digestibility of Italian hay

BROGNA, NICO;PACCHIOLI, MARIA TERESA;FORMIGONI, ANDREA
2009

Abstract

The objective of the present work was to develope calibration equations for the prediction of chemical composition and forage digestibility from different populations of alfalfa hay harvested in Parmigiano Reggiano cheese production area of Northern Italy. Due to annual climatic variations that affect soil and growing conditions adn consequently cause high variability in chemical and physical composition, 319 hay samples from four years were used to build robust calibration. NIRS calibration equations were developed for the prediction of in vitro NDF digestibility (IVNDFd) and 20 chemical parameters (DM, starch, fat, sugars, fiber fractions, crude protein, nitrogen fractions and some minerals) of Italian hay. The results obtained show that NIRS equations greatly explain the variation in the composition existing in alfalfa hays grown in Northern Italy, exept for a few parameters characterized by low variability range value. The equations obtained for the prediction of biological and chemical parameters explain the major part of the variation existing in the reference data, which open great prospects for the use of NIRS in planning feeding strategies of livestock, based on alfalfa forage
2009
Proceedings
271
273
N. Brogna, M.T. Pacchioli, A. Immovilli, F. Ruozzi, R.T. Ward, A. Formigoni (2009). The use of near-infrared reflectance spectroscopy (NIRS) in the prediction of chemical composition and in vitro neutral detergent fiber (NDF) digestibility of Italian hay. BOLOGNA : Avenue Media.
N. Brogna; M.T. Pacchioli; A. Immovilli; F. Ruozzi; R.T. Ward; A. Formigoni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/124191
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