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作 者:马志刚 董佳强 杨坤 霍明东 张红 依晓红 陈志峰 MA Zhigang;DONG Jiaqiang;YANG Kun;HUO Mingdong;ZHANG Hong;YI Xiaohong;CHEN Zhifeng(Branch of Animal Husbandry and Veterinary of Heilongjiang Academy of Agricultural Sciences,Heilongjiang Qiqihar 161005,China;Service Center of Agricultural Science and Technology,Heilongjiang Beidahuang Group Junchuan Farm Co.,Ltd.,Heilongjiang Hegang 154100,China)
机构地区:[1]黑龙江省农业科学院畜牧兽医分院,黑龙江齐齐哈尔161005 [2]黑龙江省北大荒集团军川农场有限公司农业科技服务中心,黑龙江鹤岗154100
出 处:《饲料工业》2024年第14期77-81,共5页Feed Industry
基 金:国家现代农业产业技术体系[CARS-42-34];黑龙江省禽类产业技术协同创新体系;科技计划创新激励项目[CNYGG-2022002]。
摘 要:试验运用Logistic、Gompertz和von Bertalanffy 3种非线性生长模型对籽鹅0~15日龄生长性能进行曲线拟合和分析,旨在探索籽鹅早期生长发育规律,对其品系选育提供参考依据。结果表明:3种模型均能较好地拟合籽鹅生长曲线,并且拟合度(R^(2))在0.9991以上;其中Logistic模型对籽鹅0~15日龄生长曲线拟合度最高,R^(2)=0.9997。因此,Logistic模型可作为籽鹅生长曲线拟合的最佳模型。Three nonlinear growth models(Logistic,Gompertz and von Bertalanffy)were used to fit and analyze the growth performance of Zi geese from 0 to 15 days old,to explore the law of early growth and development of Zi goose,and to provide reference for breeding of its strains.The results showed that the three models could fit the growth curve of Zi goose well,and the fitting degree(R^(2))was above 0.9991.Logistic model had the highest fitting degree to the growth curve of Zi goose from 0 to 15 days,R^(2)=0.9997.Therefore,Logistic model can be used as the best model to fit the growth curve of Zi goose.
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