Multiphasic growth models for cattle

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F05%3A10157" target="_blank" >RIV/60460709:41110/05:10157 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multiphasic growth models for cattle

Original language description

There are several ways to generalize classical growth models to describe the complex nature of an animal growth. One possibility is to build a model based on a sum of several classical growth functions. In this paper, such multiphasic growth models for breeding bulls of the Czech Pied cattle based on the sum of two logistic functions are studied. The logistic function was chosen as a base for the models due to the relatively low degree of nonlinearity for the growth data. The paper describes three stepsof building such a multiphasic growth model, in the first step a model with four unknown parameters is considered, in the second step the number of model parameters, which are to be estimated, is increased to five and in the third step a general model with six parameters is used. In each step, statistical properties of the considered model were checked. The residual variability of the best fitting model was on average approx. 8 times lower than the residual variability of the classical

Czech name

Modelování růstu skotu pomocí multifázických modelů

Czech description

There are several ways to generalize classical growth models to describe the complex nature of an animal growth. One possibility is to build a model based on a sum of several classical growth functions. In this paper, such multiphasic growth models for breeding bulls of the Czech Pied cattle based on the sum of two logistic functions are studied. The logistic function was chosen as a base for the models due to the relatively low degree of nonlinearity for the growth data. The paper describes three stepsof building such a multiphasic growth model, in the first step a model with four unknown parameters is considered, in the second step the number of model parameters, which are to be estimated, is increased to five and in the third step a general model with six parameters is used. In each step, statistical properties of the considered model were checked. The residual variability of the best fitting model was on average approx. 8 times lower than the residual variability of the classical

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Czech Journal of Animal Science

ISSN

1212-1819

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

50

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

347-354

UT code for WoS article

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EID of the result in the Scopus database

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