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作 者:丁鹏 贾先波 陈仕毅 谷仕坤 胡深强 王杰 赖松家 Ding Peng;Jia Xian-bo;Chen Shi-yi;Gu Shi-kun;Hu Shen-qiang;Wang Jie;Lai Song-jia("Sichuan Key Laboratory of Exploiting and Innovating Livestock and Poultry Genetic Resources",Sichuan Agricultural University,Chengdu 611130)
机构地区:[1]四川农业大学"畜禽遗传资源发掘与创新利用四川省重点实验室"
出 处:《中国养兔》2019年第6期7-11,共5页Chinese Journal of Rabbit Farming
基 金:国家兔产业技术体系(CARS-44-A-2);优质特色兔配套系选育与育种材料创新(2016NYZ0046)
摘 要:本文采用Lo gistic、Gompertz和Von Bertallanffy 3种非线性动物生长曲线模型拟合加利福尼亚兔×新西兰大白兔(F1),F1随机交配所得群体仔2)35~84日龄的体重。结果表明:在片群体中3种生长曲线模型都能很好地对其体重进行拟合,拟合度(R^2)均在0.993以上,其中Lo gistic模型的拟合效果最佳,拟合的拐点日龄(44.17 d)及拐点体重(1150.46 g)与实测值最接近,拟合极限体重为2300.92 g;在F2群体中3种生长曲线模型都能很好地对其体重进行拟合,拟合度(R2)均在0.992以上,其中Lo gistic模型的拟合效果最佳,拟合的拐点日龄(45.92 d)及拐点体重(1153.96 g)与实测值最接近,极限体重预测值为2307.92 g.In this paper,Lo gistic,Gompertz and Von Bertallanffy three nonlinear animal growth curve models were used to fit the weight of California rabbit × New Zealand white rabbit(F1) and F1 randomly mating population(F2) from 35 to 84 days old.The results showed that,the three growth curve models in F]population could fit their body weight well,and the fitting degree(R^2)was above 0.993.Lo gistic model had the best fitting effect,and the day age of inflection point(44.17 d) and the body weight of inflection point(1150.46g) were the closest to the measured values,and the fitting limit body weight was 2300.92g.In F2 population,the three growth curve models could well fit their body weight,and the fitting degree(R^2) was above 0.992.Lo gistic model had the best fitting effect,and the fitting inflection point age(45.92 d) and inflection point weight(1153.96g) were closest to the measured values,and the predicted limit weight was 2307.92g.
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