Article
ENERGY REQUIREMENT FOR MAINTENANCE AND EGG PRODUCTION FOR BROILER BREEDER HENS
INTERNATIONAL JOURNAL OF POULTRY SCIENCE. ASIAN NETWORT FOR SCIENTIFIC INFORMATION
Autor
REYES CORONEL, MARTHA ESTHER
C. Salas, C.N. Coon
Institución
Resumen
Mathematical modeling is an accounting tool that can be used for predicting the nutritional
requirements for poultry with different genetic strains, environments and stages of meat gain or egg
production. Models are also useful for describing or predicting the animal’s production process. Modeling
the daily ME requirement of broiler breeder hens requires partitioning Metabolizable Energy (ME)
requirements into maintenance, egg mass and body weight gain. Determining the daily energy requirement
for maintenance and egg production in breeders requires separating the daily energy needs for egg
production from energy needs of maintenance. The objective of the research reported herein was: 1.) to
obtain information about body tissue changes and egg composition for breeders being fed specific intakes
of ME in a set environment and 2.) to evaluate a technique for partitioning the Metabolizable Energy (ME)
requirement into maintenance and production for each individual breeder. An estrogen antagonist,
TAMOXIFEN ([Z]-1-1[p-Dimethylaminoethoxyphenyl]-1,2-diphenyhl-1butene) (TAM), was used to separate the
ME needs into two periods: laying and non-laying. Broiler breeder hens were provided TAM to stop egg
production and their individual ME requirement for maintenance determined. Each broiler breeder resumed
egg production when TAM was withdrawn and the ME requirement for egg production and BW gain
determined. The estimated ME required for maintenance for breeders (MEm) housed in a constant 21C was
98.3 kcal/kgBW0.75, MEg for gain was 5.6 kcal/g and MEe for egg mass was 2.4 kcal/g. The energy efficiencies
for protein gain (kp), fat gain (kf) and egg calories (ke) were 34%, 79% and 65.7%, respectively. The use of
TAM provided an opportunity to estimate breeder maintenance requirements and reduce the
interdependence in estimating factorial coefficients while partitioning production energy.