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Wyszukujesz frazę "Oluk, C.A." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Effects of storage length and variety on some quality and color parameters in soybean silage
Autorzy:
Şahar, A.K.
Vurarak, Y.
Çubukcu, P.
Oluk, C.A.
Powiązania:
https://bibliotekanauki.pl/articles/54159781.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:
With its high protein content, forage soybean is an important legume roughage that should be included in animal rations. However, the traditional silage production of pure soybean as forage is limited by its high protein content. The aim of the study was to determine the effect of the duration of storage and soybean variety on some quality parameters and color change in pure soybeans silage. Two soybean forage varieties (Yemsoy and Yesilsoy) as the main factor were harvested in the appropriate harvesting period and with an appropriate technology, and after wilting the soybean plants were ensilaged without any additives in small bales of 40-50 kg. The bales were stored for 5 lengths of storage (20, 40, 60, 80, and 100 days), which was the second experimental factor. The silage samples as 3 replications were collected at the end of the storage period to evaluate dry matter (DM), pH, crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF), relative feed value (RFV), digestible dry matter (DDM), dry matter intake (DMI), fleig score (FS) and CIELab color scale (L, a, b). The data from 2 years were processed statistically in randomized blocks according to a split plot design. No statistical difference between the duration of storage and varieties in terms of RFV was observed. However, it was determined that the pH value was statistically lower (p<0.01) in the soybean bale silage stored for 80 and 100 days. In addition, it was determined that silages stored for 100 days were higher (p<0.01) in terms of the brightness value L. It is evident that high quality and bright colored roughage can be obtained in soybean silage stored for 80 and 100 days without any additives.
Źródło:
Journal of Elementology; 2022, 27, 4; 981-994
1644-2296
Pojawia się w:
Journal of Elementology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Provisional assessment of forage quality in common vetch using near-infrared reflectance spectroscopy
Autorzy:
Oluk, C.A.
İnal, İ.
Serbester, U.
Powiązania:
https://bibliotekanauki.pl/articles/53852538.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:
Techniques involving wet chemistry are time- and money-consuming, and the waste they generate is harmful to the environment. The near infrared technology not only makes it feasible to quickly examine various parameters, but also to determine all of these parameters at once. For the purpose of identifying the forage quality components of crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF), dry matter (DM), and ash, a calibration of Near Infrared Reflectance (NIR) spectroscopy was obtained. In this study, it was aimed to develop a common vetch specific near infrared (NIR) spectroscopy calibration by using 197 samples consisting of different common vetch lines and varieties. For the calibration of DM, CP, ADF, and NDF, second derivative pretreatment was utilized; for ash, first derivative pretreatment was used. The coefficients of determination (R2) in the calibration set were 0.977 for DM, 0.856 for ash, 0.823 for CP, 0.754 for ADF and 0.630 for NDF. The validations performed over the DM, ash, CP, NDF and ADF parameters of mean values and the coefficient of determination in the external validation (r2) were 92.44,0.974; 1.953, 0.822; 17.04, 0.784; 42.24, 0.659; 30.56, 0.644, respectively. The equtaions for DM (RPDv = 6.247) showed high accuracy, while the equations for ash (RPDv = 2.367), CP (RPDv = 2.146), NDF (RPDv = 2.037) and ADF (RPDv = 2.010) showed relatively high accuracy. The dry matter equations were suitable for quantitative prediction of common vetch quality, according to the relative predictive determinant ratios (RPDv) for calibration, whilst the CP, ADF, NDF, and ash equations were helpful for screening. It was determined that NIR spectroscopy may be used to successfully predict CP, ADF, DM, and ash in samples of common vetch.
Źródło:
Journal of Elementology; 2023, 28, 2; 337-348
1644-2296
Pojawia się w:
Journal of Elementology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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