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: Stocking rate decision aid
  name:
    name part: Casco, Jose Francisco.
    role:
      role term: creator
  name:
    name part: Kothmann, Merwyn M.
    role:
      role term: degree supervisor.
  name:
    name part: Briske, David D.
    role:
      role term: degree committee member.
  name:
    name part: Conner, J. Richard
    role:
      role term: degree committee member.
  name:
    name part: Grant, William E.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1987
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xii, 226 leaves : illustrations ; 29 cm
  abstract: A deterministic-empirical microcomputer model based on user inputs of the actual or projected carrying capacity (CC), animal-unit equivalent (AUE), grazing and herd record composition records, a set of coefficients to generate a normal carrying capacity curve (NORCOEF), and a set of coefficients to correct the normal curve for actual growing conditions (CORCOEF) was constructed. The model consists of four submodels: Pasture, Coefficient, Livestock, and Merge Files submodels. Experience is required to run the model because of variation among users in estimating actual CC, NORCOEF, CORCOEF and AUE. Standardization of the AUE and development of a quantitative method to generate a normal CC curve are needed for incorporation into the model. The simplicity of the model allows the user to employ it in an iterative process to converge upon the carrying capacity-stocking rate solution for specific locations. Long term use of the model will generate the records and site specific experience required for accurate assessment of carrying capacity. Two carrying capacity indexes were derived to quantify the portion of the total forage production consumed by grazing livestock. AFV index was calculated from the ratio of forage demand to forage available within a grazing period. The CCC index was derived as the ratio of cumulative forage demand and cumulative forage available. CCC was the preferred index since it estimated the annual or seasonal grazing pressure index (GPI) and it was less variable and more predictable than AFV. CCC may be used to provide an initial estimate of carrying capacity if estimates of above-ground net primary production are available. Annual pastures supported larger CCC than perennial pastures and annual ranges supported greater CCC than cultivated annual pastures. These differences resulted from different management flexibilities and a confounding effect of the number of studies involved in the analyses. On moderately stocked perennial range, approximatel…
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. in Range Science Texas A & M University 1987
  note: Includes bibliographical references (leaves 76-85).
  subject:
    geographic code: n-us-tx
  subject:
    topic: Range management
    geographic: Texas
    topic: Decision making
  subject:
    topic: Grazing
    geographic: Texas
    topic: Mathematical models
  subject:
    topic: Cattle
    topic: Feed utilization efficiency
  subject:
    topic: Major range science
  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: 880713
    record change date: 20200904152403.0
    record identifier: in00000020423
    language of cataloging:
      language term: eng