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http://dx.doi.org/10.5333/KGFS.2005.25.3.169

Correlation between Nutrient Components of Grass Roughages Mainly Used in Korea  

Kim Myeong Hwa (Kon-Kuk University)
Seo In Jun (Wootech)
Kim Joon Sun (Kon-Kuk University)
Lee Sang Rak (Kon-Kuk University)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.25, no.3, 2005 , pp. 169-176 More about this Journal
Abstract
To evaluate the possibility of predicting a specific nutrient component, which nay be difficult in analysis, from a component of nutrient relatively easy to analyze, six grass roughage sources (bermuda grass hay, klein grass hay, oat hay, orchard grass straw, tall fescue straw and timothy hay) mainly used in Korea were analyzed for the heat-stable $\alpha-amylase$ treated neutral detergent fiber (aNDF), acid detergent fiber (ADF), acid detergent lignin (ADL), neutral detergent insoluble crude protein (NDICP) and acid detergent insoluble crude protein (ADICP) as well as proximate analytical components, and correlation coefficients between nutrient components were calculated. Some chemical components appeared to have significant correlation (p<0.05) through Pearson's correlation coefficients (i.e. between crude protein (CP) and NDICP in oat hay, orchard grass straw and tall fescue, between CP and ADICP in oat hay and timothy hay, between crude fiber (CF) and aNDF in klein grass hay, tall fescue straw and timothy hay, between CF and ADF in oat hay, tall fescue straw and timothy hay, and between CF and ADL in orchard pass straw and timothy hay). It is therefore suggested that it would be worthy to predict a specific nutrient component, which may be difficult in analysis such as aNDF, ADF, ADL, NDICP and ADICP, from a component of nutrient relatively easy to analyze such as CP and CF. However, it would be needed to improve the correlation coefficients, more samples should be measured.
Keywords
Grass roughages; Nutrient component; Correlation; Prediction;
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