Critical evaluation of seven lactation curve estimation models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39899664" target="_blank" >RIV/00216275:25530/15:39899664 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-21206-7_7" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-21206-7_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-21206-7_7" target="_blank" >10.1007/978-3-319-21206-7_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Critical evaluation of seven lactation curve estimation models

Popis výsledku v původním jazyce

A mathematical model of the lactation curve approximation provides summary information about dairy cattle production, which is useful in making management and breeding decisions and in simulating a dairy enterprise. Several nonlinear regression models have been devel- oped during the past decades. Unfortunately, there is no unique algorithm in literature. The question of choosing the best function is brought up. We tested seven such models (Gaines, Nelder, Ning-Yang, Marek-Zelinkova, McMillan, Papajesic-Bodero, Wood) using milk yield data of more than 5 000 lactation cycles. Non-linear approximations showed high level of confidence in all models. Critical limitations of individual approaches are discussed using data of several individual cows with problematic approximations. We stress the limitations of individual generally well-fitting mathematical models at the level of individual animals. The best results were obtained with Wood, Nelder or Marek-Zelinkova models.

Název v anglickém jazyce

Critical evaluation of seven lactation curve estimation models

Popis výsledku anglicky

A mathematical model of the lactation curve approximation provides summary information about dairy cattle production, which is useful in making management and breeding decisions and in simulating a dairy enterprise. Several nonlinear regression models have been devel- oped during the past decades. Unfortunately, there is no unique algorithm in literature. The question of choosing the best function is brought up. We tested seven such models (Gaines, Nelder, Ning-Yang, Marek-Zelinkova, McMillan, Papajesic-Bodero, Wood) using milk yield data of more than 5 000 lactation cycles. Non-linear approximations showed high level of confidence in all models. Critical limitations of individual approaches are discussed using data of several individual cows with problematic approximations. We stress the limitations of individual generally well-fitting mathematical models at the level of individual animals. The best results were obtained with Wood, Nelder or Marek-Zelinkova models.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Intelligent Data Analysis and Applications: Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2015

ISBN

978-3-319-21205-0

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

12

Strana od-do

73-84

Název nakladatele

Springer

Místo vydání

Dordrecht

Místo konání akce

Ostrava

Datum konání akce

29. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000365130300007