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Inter-relationships between chemical constituents, rumen dry matter and nitrogen degradability in fresh leaves of multipurpose trees

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Title Inter-relationships between chemical constituents, rumen dry matter and nitrogen degradability in fresh leaves of multipurpose trees
 
Creator Nsahlai, I.V.
Siaw, D.E.K.A.
Umunna, N.N.
 
Subject browse plants
chemical composition
nitrogen
drymatter content
degradability
rumen
food science
biotechnology
 
Description This work determined the inter-relationships between constituents, rumen dry matter (DM) and nitrogen (N) degradabilities of fresh leaves from 20 multipurpose tree (MPTs) accessions belonging to the following genera: Acacia(2), Cajanus (2), Chamaecytisus (2), Erythrina (2), Leucaena (8) and Sesbania (4). Significant differences were observed among genera in all assayed chemical attributes except hemicellulose. There was apparently no disappearance of N in A saligna after the initial solubility. All genera had similar DM and N solubility but varied in degradation rate of DM, effective degradability of DM and effective degradability of N. Except for A saligna, synchronization indices of the release of nutrients for each accession ranged from perfect (0.93) to poor (-0.31) for soluble nutrients and from moderate (0.75) to very poor (-0.81) for insoluble slowly degradable nutrients because N was in excess. Inter-relationships among chemical constituents, DM and N degradation constants were established using correlation and regression analyses. Negative correlation occured between N solubility and proanthocyanidins, N degradation rate and hemicellulose and either NDF or hemicellulose or PAs, while N degradation rate was positively correlated with N content. Equations for predicting N degradability characteristics were set. Practical implications of DM degradability and nutrient release synchrony indices in relation to basal roughage intake and microbial protein synthesis were discussed. It was concluded that a mixed model could adequately predict N degradability of fresh forages and alleviate analytical cost. A functional approach of classifying browses is outlined.
 
Date 1995-10
2013-06-11T09:22:31Z
2013-06-11T09:22:31Z
 
Type Journal Article
 
Identifier Journal of the Science of Food and Agriculture;69(2): 235-246
0022-5142
https://hdl.handle.net/10568/29123
https://doi.org/10.1002/jsfa.2740690214
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Format p. 235-246
 
Publisher Wiley
 
Source Journal of the Science of Food and Agriculture