贵州地方鸡种体重生长曲线的拟合分析

Growth curve fitting analysis of native chicken breeds in the Guizhou area

为探究贵州省赤水乌骨鸡、黔东南小香鸡、乌蒙乌骨鸡、威宁鸡和贵州黄鸡这5个地方鸡种生长发育规律,采用Logistic、Gompertz和von Bertalanffy 3种非线性模型对5个地方鸡种的生长曲线进行拟合,选取5个品种鸡各60只,公母各30只,测定0、2、4、6、8、10、12、14、16、18周龄时的体重。结果:5个品种鸡的生长趋势一致,3个模型均能较好地拟合5个品种鸡的生长变化情况,拟合度均在0.98以上,其中von Bertalanffy模型对5个品种鸡的生长曲线拟合效果最好;同时期的鸡体重以贵州黄鸡最重,黔东南小香鸡最轻,赤水乌骨鸡、乌蒙乌骨鸡和威宁鸡相近;5个品种鸡的拐点周龄分别为9.2、7.9、7.3、8.9和8.4,拐点体重分别为870.71、509.18、708.29、834.35和945.52 g。通过拟合的生长曲线模型对鸡体重进行评估,可为贵州省地方鸡的科学饲养、品种资源利用及选育提供依据。

In order to identify the law of growth and development of five breeds of native chickens in the Guizhou arrea,the growth curves of Chishui black bone chicken,Qiandongnan Xiaoxiang chicken,Wumeng black bone chicken,Weining chicken and Guizhou yellow chicken were fitted by Logistic,Gompertz and von Bertalanffy nonlinear models.The body weights of 300 native chickens in Guizhou(60 chickens of 5 breeds each,including 30 cocks and 30 hens)at 0,2,4,6,8,10,12,14,16 and 18 weeks of age were measured in this experiment,with the aim of exploring the growth and development rules of the 5 breeds.The results showed that the growth trend of the five breeds of chickens was same,that the three models could fit the growth changes of the five breeds well,at a fitting degree above 0.98.The von Bertalanffy model had the best fitting effect on the growth curve of the five breeds.During the same period of growth,the average weight of Guizhou yellow chicken was the highest,that of Qiandongnan Xiaoxiang chicken was the lowest,and the average weight of Chishui black bone chicken,Wumeng black bone chicken and Weining chicken was similar.The inflection point age of the five breeds were at week 9.2,week 7.9,week 7.3,week 8.9,and week 8.4,respectively;and their inflection point weight was 870.71 g,509.18 g,708.29 g,834.35 g,and 945.52 g,respectively.These results might be used to explain the growth and development characteristics of different breeds of chickens,and serve as theoretical guidance for scientific feeding of chickens in the Guizhou area.