Quality Standards for Abstracts

We welcome the submission of research, teaching, and extension abstracts that represent original, completed work that has not been accepted for publication in a journal. 

 

  • Abstracts are required for all submitted papers, invited papers, and symposium presentations.
  • Accepted ADSA Annual Meeting abstracts become a part of the permanent literature in the Journal of Dairy Science, so clearly stated, simple sentences with exact wording must be used to ensure clarity and brevity.
  • The author submitting the abstract is responsible for its content and the quality of the preparation.

ABSTRACTS SHOULD MEET THE FOLLOWING REQUIREMENTS:

  1. The objectives of the presentation are clearly and concisely stated at the beginning of the abstract.
  2. Pertinent methodological conditions (such as the population and sample, design, instrumentation, methodology used, assessment of methodology, data collection, and data analysis) are included to define the scope of the work.
  3. The information in the abstract includes those details that directly influence the interpretation or enhance the understanding of the results or methodologies presented.
  4. The results are compiled, condensed, and presented with great care. Only information that is discussed is presented. Only data relating to the objectives are reported. Any statistical inferences shall be sufficiently detailed to authenticate the interpretation of the data. One simple, illustrative table may be used if it is the most effective method to convey the results clearly.
  5. Abstracts detailing teaching or extension philosophy must be innovative, such as a new idea or creative modification or application of an existing idea. Abstracts should also be of national significance to demonstrate application of said philosophy and to provide an evaluation of their effectiveness.
  6. The abstract’s conclusion is clearly stated.

AN ABSTRACT IS UNACCEPTABLE IF IT

  • contains grammatical errors or meaningless statements such as “The results will be presented,” or both;
  • presents data without appropriate statistical analyses or measurements of data variability;
  • includes no data or statements relating to the objectives;
  • does not use the metric system;
  • contains typing errors;
  • fails to comply with submission requirements; or
  • presents opinion or speculation with no demonstrated use in a teaching or extension experience.

If you need clarification of, or additional information on, abstract quality or submission, please contact us at abstracts@assochq.org.

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