title: Comparison of energy utilization efficiency among six lines of White Leghorns.
abstract: Individual records were used of feed consumption, BW, BW change, and egg mass (EM) output during a 4-wk period for 180 hens from six different lines of White Leghorn chickens (30 hens per line). The diet contained 16.45% protein and 2,825 kcal ME/kg. Feed consumption was used to calculate actual ME intake (AcME) for each hen. Multiple regression of AcME was performed with metabolic BW, BW change, and EM production as independent variables. The regression coefficients and the independent variables were then used to calculate the expected ME intake (ExME). The following values were calculated for each hen and were used to compare energy efficiency among the six lines: the residual component of energy intake (RES), defined as the difference between the AcME intake and ExME intake; the relative efficiency ratio (RER), defined as (ExME divided by AcME) X 100 (calculated using the partial regression coefficients of the overall equation); and feed conversion, the ratio of feed consumed to EM. Significant differences among the lines in efficiency of EM produced were observed regardless of the efficiency measurement used. Feed consumption did not indicate differences in RES or RER. A multiple regression equation was derived for each line. Significant differences were found among the six lines in their energy requirements for maintenance and for egg production. These results suggest the possible use of the partial regression coefficients as selection criteria for separately improving maintenance efficiency and egg production efficiency.
authors.affiliation: Department of Poultry Science, University of Florida, Gainesville 32611.
authors.forename: H M
authors.initials: HM
authors.lastname: Sabri
authors.forename: H R
authors.initials: HR
authors.lastname: Wilson
authors.forename: C J
authors.initials: CJ
authors.lastname: Wilcox
authors.forename: R H
authors.initials: RH
authors.lastname: Harms
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001835:Body Weight; D001947:Breeding; D002645:Chickens / Q000235:genetics / Q000378:metabolism*; D004435:Eating; D004734:Energy Metabolism / Q000235:genetics*; D005260:Female; D010058:Oviposition; D012044:Regression Analysis