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The effects of wilting and biological and chemical additives on the fermentation process in field pea silage

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F11%3A%230001453" target="_blank" >RIV/00027014:_____/11:#0001453 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.agriculturejournals.cz/publicFiles/48725.pdf" target="_blank" >http://www.agriculturejournals.cz/publicFiles/48725.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The effects of wilting and biological and chemical additives on the fermentation process in field pea silage

  • Original language description

    The objectives of the study were to evaluate the effects of wilting and additives on the fermentation quality of field pea silage, and to determine the rumen degradability of organic matter of pea silages. As additives, a commercial bacterial inoculant (1 g/t) containing homofermentative lactic acid bacteria and a chemical additive (4 l/t) were used.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GH - Nutrition of farm animals

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

  • Volume of the periodical

    56

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    427-432

  • UT code for WoS article

    000296892000001

  • EID of the result in the Scopus database