Simulation models of egg production and nutritional requirements prediction of laying hens

• Grant number: 15/06001-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: May 01, 2015
• End date: March 12, 2017
• Field of knowledge: Agronomical Sciences - Animal Husbandry - Animal Nutrition and Feeding
• Principal Investigator: Nilva Kazue Sakomura
• Grantee: Nayara Tavares Ferreira
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated research grant: 13/25761-4 - Modeling production and nutritional requirements of poultry and fish, AP.TEM
• Associated scholarship(s): 16/14498-9 - Simulation of egg production and prediction of the nutritional requirements of pullets, BE.EP.PD

Abstract

In order to develop a simulation model for egg production and prediction of nutritional requirements of commercial and broiler breeder hens, several studies will be carried out based on systematic review and modeling. The project will be divided into four stages: (i) creation of the database and the estimated coefficients of the factorial model; (ii) development of two egg production prediction models, one for laying hens and one for broiler breeders; (iii) development of simulation models for laying hens and broiler breeders; (iv) development and inclusion of sub-models to correct for externalities on the intake and assessment and validation of complete models. Finally, it is expected to generate a computational model to be incorporated into the Avinesp software.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FERREIRA, NAYARA TAVARES; SAKOMURA, NILVA KAZUE; GOUS, ROBERT MERVYN. Consequences of lighting programme in rearing phase and its effects on amino acid requirements in a broiler breeders flock in egg production. ANIMAL FEED SCIENCE AND TECHNOLOGY, v. 253, p. 153-165, JUN 2019. (15/06001-4)