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: Toward a holistic approach to the cropping mix decision
  name:
    name part: Perry, Gregory Merrill.
    role:
      role term: creator
  name:
    name part: Rister, M. Edward
    role:
      role term: degree supervisor.
  name:
    name part: Bessler, David A.
    role:
      role term: degree committee member.
  name:
    name part: Graft, Warren R.
    role:
      role term: degree committee member.
  name:
    name part: Klosterboer, Arlen
    role:
      role term: degree committee member.
  name:
    name part: McCarl, Bruce A.
    role:
      role term: degree committee member.
  name:
    name part: Nixon, Clair J.
    role:
      role term: degree committee member.
  name:
    name part: Richardson, James W.
    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: 1986
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xii, 331 leaves : illustrations ; 29 cm
  abstract: The cropping mix decision is one of the most important made each year by a farmer. Many factors are generally considered in the decision process, including the farmer's goals and objectives, expected returns and riskiness of returns for each crop, resource availability, government program provisions, and agronomic considerations. The objective of this study was to develop, document, and provide preliminary validation for a model that simultaneously considers these and other pertinent factors when identifying a farmer's preferred crop mix. The purposes in developing this model were (a) to provide an analytical tool that could be used to aid farmers as they ponder their cropping decision, and (b) to develop a model that could be used in predicting the effect of changes in government policy on farmers' cropping decisions. A mixed integer-quadratic programming (MIQP) model was identified as the approach that could best account for the factors important in the cropping decision. A matrix generator (DYNLMAG) was developed to facilitate creation of MIQP models unique to each farm analyzed. Solutions to the MIQP model were obtained by dividing the problem into integer and quadratic programming subproblems based on Benders' Decomposition. The MINOS and MIPZI algorithms were employed to iteratively solve the problem. Two actual farming operations in Texas were selected as test cases for analysis. The first is a rice and feed grain farm located in the Middle Gulf Coast region; the second is a cotton and feed grain farm in the Coastal Bend region. The models generated for these test cases were judged valid representations of their respective farms. Although both farms were projected to follow historical crop rotations if the 1981 Farm Bill continued in effect, implementations of the 1985 farm bill resulted in a significant shift in the crop mix for the Middle Gulf Coast farm. This shift was attributed to the lower loan rate for rice. The large size of the quadratic programming …
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. in Agricultural Economics Texas A & M University 1986
  note: Includes bibliographical references (leaves 220-228).
  subject:
    geographic code: n-us-tx
  subject:
    topic: Farm management
    geographic: Texas
    geographic: Gulf Region
    topic: Decision making
    topic: Mathematical models
  subject:
    topic: Agriculture
    geographic: Texas
    geographic: Gulf Region
    topic: Decision making
    topic: Mathematical models
  subject:
    topic: Major agricultural economics
  identifier: http://hdl.handle.net/1969.1/Dissertations-608706
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://hdl.handle.net/1969.1/Dissertations-608706
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 871208
    record change date: 20190325091922.0
    record identifier: in00000610131
    language of cataloging:
      language term: eng