Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models

T Ayasan; H Inci; S Celik; B Sogut

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Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models

机译：用一些非线性模型分析不同育种系统（密集和自由放射）中的火鸡生长曲线

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The objective of this study was to identify the growth curve of live weight of turkeys reared in different systems (intensive and free- range) with the best mathematical model. To achieve this goal, the live weight of male and female turkeys (Large White) reared for 0-18 weeks were used. Logistic, Gompertz, Von Bertalanffy, and Gauss were used to determine the best model for the turkeys. In comparison of the models, values of Coefficient of Determination (R 2 ), Mean Squares of Error (MSE) and Model Efficiency (ME) were used. In Von Bertalanffy model, the coefficient of determinations for males and females were found as 0.9974 and 0.99915 in intensive system and 0.9794 and 0.9804 in Free-Range system, respectively.

机译：本研究的目的是鉴定与最佳数学模型中不同系统（密集和自由范围）饲养的火鸡生物重量的生长曲线。为实现这一目标，使用饲养雄性和雌性火鸡（大白）的活体重0-18周。物流，Gompertz，von Bertalanffy和Gauss用于确定火鸡的最佳模型。在模型的比较中，使用测定系数（R 2），误差（MSE）和模型效率（ME）的值。在Von Bertalanffy模型中，分别在密集型系统和0.9794和0.9804中发现了雄性和女性的测定系数分别为0.9794和0.9804。

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《Revista Brasileira de Ciência Avícola》 |2016年第4期|共页
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T Ayasan; H Inci; S Celik; B Sogut;
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1. Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models [J] . Sogut B, Celik S, Ayasan T, Revista Brasileira de Ciência Avícola . 2016,第4期

机译：用一些非线性模型分析不同育种系统（密集和自由放射）中的火鸡生长曲线
2. Nonlinear models for fitting growth curves of Nellore cows reared in the Amazon Biome [J] . Alfredo Ribeiro De Freitas Revista Brasileira de Zootecnia . 2013,第9期

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3. Nonlinear mixed models of growth curves from domestic shorthair cats in a breeding colony, housed in a seasonal facility to predict obesity [J] . Cave Nick John, Bridges Janis P., Weidgraaf Karin, Journal of Animal Physiology and Animal Nutrition . 2018,第5期

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4. Analyzing the dynamics of skill sets for the U.S. information systems workforceusing latent growth curve modeling [C] . Kyootai Lee, Dinesh Mirchandani Proceedings of the Special Interest Group on Management Information Systems's 47th annual conference on Computer personnel research . 2009

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5. Modeling treatment outcome: Improving clinical meaning through the use of a nonlinear growth curve model. [D] . Stensland, Michael D. 2004

机译：对治疗结果进行建模：通过使用非线性生长曲线模型改善临床意义。
6. Safety and efficacy of muramidase from Trichoderma reesei DSM 32338 as a feed additive for turkeys for fattening turkeys reared for breeding chickens reared for breeding and other poultry species reared for breeding [O] . EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Vasileios Bampidis, Giovanna Azimonti, 2019

机译：来自里氏木霉DSM 32338的muramidase作为增肥火鸡饲养的火鸡饲养的鸡和其他家禽的饲料添加剂的安全性和有效性
7. Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models [O] . B Sogut, S Celik, T Ayasan, 2016

机译：用一些非线性模型分析不同育种系统（强化和自由放养）中饲养的火鸡生长曲线

Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models

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