Pregled bibliografske jedinice broj: 238674
Prediction of Dry Matter and Crude Protein Content in Fresh Grass Silage by Near Infrared Spectroscopy
Prediction of Dry Matter and Crude Protein Content in Fresh Grass Silage by Near Infrared Spectroscopy // Progress in Agricultural Engineering Sciences, 1 (2005), 57-75 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 238674 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction of Dry Matter and Crude Protein Content in Fresh Grass Silage by Near Infrared Spectroscopy
Autori
Vranić, Marina ; Knežević, Mladen ; Seregély, Zsolt ; Bošnjak, Krešimir ; Leto, Josip ; Perčulija, Goran
Izvornik
Progress in Agricultural Engineering Sciences (1786-335X) 1
(2005);
57-75
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
grass silage; near infrared spectroscopy; crude protein; dry matter
Sažetak
The intensive livestock feeding requires constant monitoring of diet composition to ensure a consistent level of milk or meat production. A rapid analysis of fresh grass silage samples for dry matter (DM) and crude protein (CP) content would provide basic, rapid information what would permit decision to be made regarding the need to supplement the diet. The aim of the present study was to determine dry matter (DM) and crude protein (CP) content in fresh grass silage samples by NIR spectroscopy. Crude protein content can be expressed as g per kg dry matter (g kg-1 DM) or as per cent of fresh weight (% FW). Near-infrared reflectance spectra were recorded for 103 fresh grass silage samples. Laboratory analysis of DM and CP were determined for these samples. MLR, PCR and PLS techniques were used for data modelling to determine the optimum models for predicting each of the chemical constituents. It was concluded that the PLS method was superior to the PCR and MLR methods for DM and CP prediction in fresh grass silage samples, while MLR showed a promising possibility to determine the CP content using only two spectral values measured at two “ characteristic” wavelengths.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
0178060
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Marina Vranic
(autor)
Goran Perčulija
(autor)
Mladen Knežević
(autor)
Krešimir Bošnjak
(autor)
Josip Leto
(autor)
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Uključenost u ostale bibliografske baze podataka::
- CAB Abstracts