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Growth expansion modeling: kinetic energy tool to measure efficacy, efficiency, economicity and effectiveness

Grant number: 18/19629-0
Support Opportunities:Scholarships abroad - Research
Effective date (Start): April 15, 2019
Effective date (End): March 28, 2020
Field of knowledge:Agronomical Sciences - Animal Husbandry - Animal Nutrition and Feeding
Principal Investigator:Manoel Garcia Neto
Grantee:Manoel Garcia Neto
Host Investigator: Ermias Kebreab
Host Institution: Faculdade de Medicina Veterinária (FMVA). Universidade Estadual Paulista (UNESP). Campus de Araçatuba. Araçatuba , SP, Brazil
Research place: University of California, Davis (UC Davis), United States  
Associated research grant:13/25761-4 - Modeling production and nutritional requirements of poultry and fish, AP.TEM


This work, in partnership with Dr. Ermias Kebreab (University of Davis), will be carried out with the objective of expanding (new models) and perfecting (new applications) the PPFM (Practical Program of Force Modeling) ) by promoting the analysis of energy efficiency in growth curves, seeking:1- Practicality - The PPFM for incorporating the solver supplement (Excel optimizer), will provide the attendance of the adjustments of different curves, in an accurate and free access;2- Originality - The originality is that the PPFM program allows to evaluate growth (expansion), with multiple objectives, and can be applied in research, teaching (undergraduate and postgraduate) and extension in several areas;3- Relevance - If we confirm our hypotheses, the modeling concept will be more appropriate when evaluating kinetic energy as a precision tool to measure efficacy, efficiency, economics and effectiveness.Therefore, we believe that the project is rich in several merit criteria, for enabling a current and practical modeling concept (force modeling and kinetic evaluation) and that can now be applied with the use of the PPFM worksheet, which is open and accessible (use of Excel software from Microsoft) allow for adjustments, with accuracy and precision, in the mathematical models adopted as decision support.

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