Modelování růstu skotu pomocí multifázických modelů

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multiphasic growth models for cattle

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Multiphasic growth models for cattle

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název periodika

Czech Journal of Animal Science

ISSN

1212-1819

e-ISSN

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Svazek periodika

8

Číslo periodika v rámci svazku

50

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

347-354

Kód UT WoS článku

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EID výsledku v databázi Scopus

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