摘要
为掌握略阳乌鸡生长发育特点,检验选育成效,在P1~P3代大群略阳乌鸡中分别随机选择36、95、200只,在1~10周龄,每周龄称量体重,作为小群样本。并选用Gompertz模型、Johnsonschumacher模型及三项式拟合生长曲线进行生长曲线模型模拟。结果表明,在3个世代的生长曲线模型中,Gompertz模型拟合效果最好(P1代R^2=0.9997,P2代R^2=0.9986,P3代R^2=0.9958),最契合略阳乌鸡实际生长曲线。Gompertz模型分析表明,第三代略阳乌鸡拐点周龄较前两代有所提前(P1代7.09周,P2代8.08周,P3代7.03周),拐点体重有所提高(P1代650.41g,P2代752.28g,P3代755.63g)。试验表明,略阳乌鸡生长指标明显提升,继代选育效果良好。
In order to understand the growth and development characteristics of Lueyang black-bone chicken and test the breeding effect,a model simulation was carried out on growth curve of three-generation chicken. 36, 95, and 200 chickens at 1 to 10 weeks old were randomly selected in big population of P1 to P3, whose body weight was recorded weekly as samples of small population. The Gompertz model, the Johnsonschumacher model, and the trinomial simulation growth curve were selected and analyzed with SPSS. The results showed that the Gompertz model had the fittest effect in the three generations of growth curve model(P1 generation’s R^2=0.9997, P2 generation’s R^2=0.9986, P3 generation’s R^2=0.9958), which was the most consistent with the normal growth curve of Lueyang black-bone chicken. Gompertz model showed that the inflexion week of third generation Lueyang black-bone chicken was earlier than the previous two generations(P1 generation: 7.09 weeks, P2 generation: 8.08 weeks, P3 generation: 7.03 weeks), and the weight at inflexion increased(P1 generation: 650.41 g, P2 generation: 752.28 g, P3 generation: 755.63 g). This experiment showed that the growth index of Lueyang black-bone chicken was significantly improved and the breeding effort was effective.
作者
宗航
项光锋
刘雅婷
李鑫雅
董宁
谢永新
张建勤
ZONG Hang;XIANG Guangfeng;LIU Yating;LI Xinya;DONG Ning;XIE Yongxin;ZHANG Jianqin(College of Animal Science and Technology,Northwest A&F University,Yangling,Shaanxi 712100,China)
出处
《家畜生态学报》
北大核心
2019年第12期29-33,45,共6页
Journal of Domestic Animal Ecology
基金
陕西省重点研发计划项目(2017NY-074)
杨凌示范区科技计划项目(2017NY-29)
2018年大学生创新创业训练计划项目(201810712008)
关键词
略阳乌鸡
生长曲线
拟合模型
继代选育
Lueyang black-bone chicken
growth curve
fitting model
systematic breeding
