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Advancing poultry nutrition through statistical strategies to reduce experimental variation and novel protease enzyme research

Increasingly, nutritionists are challenged to optimize broiler genetic capacity, while considering varying ingredient qualities and pricing, to meet production goals and profitability. Due to scale and cost, university and private research is often used by nutritionists to help make these decisions; thus, requiring these facilities to detect small, incremental improvements. In Chapters 1 and 2, processing data from several nutrition research trials were utilized to evaluate the impact of processing personnel, sample size, and unit of analysis on the detection of dietary differences. By accounting for potential variability between personnel (as a covariant) and selecting an adequate sample size for processing, researchers can reduce variability and improve the accuracy of studies. In Chapter 3, a novel serine protease was investigated to potentially mitigate some of the negative effects of ingredient variability and improve overall performance and processing. Overall, data from this thesis provide practical solutions that can be utilized by academics and the poultry industry to optimize experimental design and broiler performance.

Identiferoai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-6902
Date08 August 2023
CreatorsMarshall, Caleb Morgan
PublisherScholars Junction
Source SetsMississippi State University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceTheses and Dissertations

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