rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Modeling the emergence of seedling johnsongrass [Sorghum halepense (L.) Pers.]
  name:
    name part: Prostko, Eric Paul
    name part: 1964-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1997
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xii, 81 leaves : illustrations ; 28 cm.
  abstract: Research was conducted to investigate the influence of burial
  abstract: depth and temperature on seedling johnsongrass emergence and
  abstract: to use the generated data in the formulation of predictive
  abstract: models. Constant temperature growth chamber experiments
  abstract: indicated that there was a significant interaction between
  abstract: burial depth and temperature. Percent emergence and time to
  abstract: first emergence were highly dependent upon this interaction
  abstract: and needed to be evaluated on an individual basis.
  abstract: Generally, emergence ranged between 0 and 54 % while time to
  abstract: first emergence ranged between 3 and 19 days. The constant
  abstract: temperature-burial depth data and previously published
  abstract: emergence data were used to formulate an emergence model
  abstract: using the Fermi-Dirac distribution function. The Fermi-Dirac
  abstract: distribution function was found to be an adequate model for
  abstract: describing seedling emergence, as influenced by burial depth,
  abstract: of various weed species including johnsongrass, downy brome,
  abstract: and round-leaf mallow. Model adequacy was determined by a
  abstract: good visual fit of the model to the data, narrow confidence
  abstract: intervals for the model parameters, and an appropriate
  abstract: regression analysis of the modeled vs. an independent
  abstract: observed data set. The poikilotherm rate equation was fit to
  abstract: the seedling emergence data that was generated from 0 to 2.5
  abstract: cm burial depths. The equations developed from this data
  abstract: were combined to form a fourparameter poikilotherm rate
  abstract: equation that could be used to model the emergence of
  abstract: seedling johnsongrass from these depths at any constant
  abstract: temperature between 20 and 44 C. When this single
  abstract: poikilotherm rate equation model was validated against
  abstract: independent emergence data, a good visual fit of the model to
  abstract: the data and an appropriate regression analysis of the
  abstract: observed and modeled data was observed.
  note: by Eric Paul Prostko.
  note: Vita.
  note: "Major Subject: Agronomy".
  note: Issued also on microfiche from University Microfilms Inc.
  note: Includes bibliographical references: pages 67-71.
  note: Ph. D. Texas A&M University 1997.
  subject:
    topic: Major agronomy
  identifier: 98-00796 UMI
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 980408
    record change date: 20190325093502.0
    record identifier: in00001416075