面对普遍发生的产蛋下降,许多种鸡场或商品代蛋鸡场往往不得不在产蛋期甚至产蛋高峰期用灭活疫苗强化免疫.但过度频繁的强化免疫,常给产蛋鸡的生产性能带来严重的不良影响.合理的免疫程序应是在抗体滴度刚开始下降时即给以强化免疫.本研究试图比较不同统计学方法对抗体动态分析的影响,以期为免疫程序的设计提供参考.分别按不同的统计学设计和分析方法,在一个大型种鸡场的产蛋期对新城疫病毒、H9-和H5-禽流感病毒抗体滴度动态变化做了比较研究.对免疫后抗体动态变化的动态研究表明,用成对数据比较的t-test比按成组数据平均数的t-test更能准确可靠地确定免疫后抗体滴度的真实下降.在开产前用选择的最好的疫苗免疫后,高滴度的抗体水平可稳定地维持21周.在此期间对3种病毒的疫苗均未做任何强化免疫,直到21周后真正开始下降时才实施加强免疫.按此免疫程序,该种鸡群的产蛋率达到了历史最高水平.成对数据比较的t-test既可避免由于技术误差或系统误差产生某时段抗体下降的假象,也可避免由于个体差异而掩盖了幅度不大但确是真实的抗体滴度下降,可以为制定最合理的免疫程序提供科学的数据.%The aim of this study was to provide scientific data for establishment of better vaccination procedures in chicken breeders or layers. Different statistic designs and analysis were compared to follow dynamic changes of antibody titers to Newcastle disease virus,H5- and H9- avian influenza viruses in a chicken breeder farm of large scale. It was indicated that the statistic design and analysis by t-test for paired comparisons could prevent some false decreases in antibody titers caused by technical or systemic errors and easily detect the small but real decrease in antibody titers, such small decrease may be covered by big standard deviations due to individual variances if test for comparison between two sample means was used. The statistic design and analysis by t-test for paired comparisons made conclusions more convenient and reliable than that by i-test for comparison between two sample means in determination of real decreases in antibody titers to Newcastle disease virus, H5- and H9- avian influenza viruses.
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