Format

Send to:

Choose Destination
See comment in PubMed Commons below
J Dairy Sci. 2013 Oct;96(10):6644-9. doi: 10.3168/jds.2013-6858. Epub 2013 Aug 16.

Prediction models of silage fermentation products on crop composition under strict anaerobic conditions: a meta-analysis.

Author information

  • 1Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Kungsängen Research Center, SE-753 23 Uppsala, Sweden. Electronic address: kamyar.mogodiniyai.kasmaei@slu.se.

Abstract

A meta-analysis was conducted to establish linkages between crop and fermentation variables. Data from well-controlled mini silage studies were used in which no additives had been used and no ingress of air had occurred. The silage set consisted of data on crop chemical composition and epiphytic lactic acid bacteria count, and fermentation products (organic acids, alcohols, and ammonia-N) from 118 silages made from 30 grass, 7 legume, 15 grass and legume mixtures, and 66 whole-crop maize samples. The prediction models for fermentation products on crop variables were obtained by stepwise multiple regression analysis. Perennial forage and maize silages were analyzed separately. The best models were obtained for acetic acid in perennial forage silages, with a coefficient of determination of 0.63, and for lactic acid and ethanol in whole-crop maize silages, with coefficients of determination of 0.84 and 0.61, respectively. Fermentation products of perennial forage and maize silages were best related to dry matter and crude protein contents, respectively. Overall, the prediction equations were weak.

Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

KEYWORDS:

fermentation product; meta-analysis; prediction model; silage

PMID:
23958006
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk