Influence of genetic selection for antibody production against sheep red blood cells on energy metabolism in laying hens

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Genetic selection in chickens has been utilized to enhance immune responses that may influence resistance to diseases. It is important, however, to investigate the effects of this selection on other physiological processes. Therefore, this study was conducted to determine whether selection for antibody (Ab) production against SRBC has an effect on energy metabolism. Laying hens from three lines were used in this study, two of which were selected for 15 generations for Ab response against SRBC, and the third was nonselected and randombred. The hens used were from four different groups. The first two groups were from the lines that were selected for either high (SH) or low (SL) Ab production. The second two groups were control birds (nonselected) that had either high (CH) or low (CL) Ab titers that were similar to those in the SH and SL lines, respectively. The birds were housed in climate-respiration chambers. Body weights and energy metabolism were measured. Body weights of SL hens were significantly (P < 0.05) higher than those of SH hens. However, the BW for the two nonselected groups were similar but significantly less than the SL group. Energy partitioning was similar in all groups; however, ME for maintenance for the selected groups (119 kcal…kg–0.75…d–1) was numerically, but not significantly (P < 0.09), higher than that of the nonselected groups (112 kcal…kg–0.75…d–1). These results suggest that divergent selection for Ab may result in an increase in the requirements of energy for maintenance, which is not directly related to the amount of Ab produced. Furthermore, these results support previous findings of the presence of a negative correlation between BW and the levels of Ab in selected lines.
Original languageEnglish
Pages (from-to)519-524
JournalPoultry Science
Volume79
DOIs
Publication statusPublished - 2000

    Fingerprint

Cite this