Estimate Level of Neutral Detergent Fiber and Acid Detergent Fiber on Feed Based On the Results of the Proximate Analysis

Feed is an important component in animal husbandry industry. Feed quality can be
evaluated by physical characteristic, chemical composition and biological values.
Proximate analysis is one of chemical analysis to counting chemical composition in
the feed. Van Soest analysis is one of chemical analysis to evaluate fiber in the feed.
This study was aimed to determine the relationship beetwen proximate analysis and
Van Soest’s fiber component in feed and to predict Van Soest’s fiber component
(NDF and ADF) from proximate analysis component such as Ash, Crude Protein
(CP), Ether Extract (EE), Crude Fiber (CF) and Nitrogen Free Extract (NFE). This
study used database of feed ingredients from Laboratory of Feed Science and
Technology, Departement of Nutrition and Feed Technology, Faculty of Animal
Husbandry, Bogor Agricultural University. Data were analyzed by correlation
analysis and regression (linier regression with single and multiple variables).
Accuracy levels of the relationships between variables were expressed as coefficient
determination (r2
), P Values and Root Mean Square Error (RMSE). The result
showed that Neutral Detergent Fiber (NDF) had a strong correlation with Ash,
Extract (EE), Crude Fiber (CF) and Nitrogen Free Extract (NFE). Acid Detergent
Fiber (ADF) component had a strong correlation with Ash, Crude Fiber (CF) and
Nitrogen Free Extract (NFE). NDF can be predicted using a model NDF = -3.925 +
1.64 Ash + 1.528 CF – 0.02 EE + 0.399 NFE (r2
=0.814; P=0.002; RMSE = 14.20)
and ADF can be predicted using a model ADF = 24.937 + 1.082 Ash + 0.645 CF –
0.077 NFE (r2
=0.319; P<0,001; RMSE=12.67). It concluded that proximate analysis
component can be used to predict Van Soest’s component in the feed.

please continue reading on http://repository.ipb.ac.id/handle/123456789/61578

 

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