Critical Evaluation of Seven Lactation Curve Estimation Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F15%3A68205" target="_blank" >RIV/60460709:41210/15:68205 - isvavai.cz</a>

Výsledek na webu

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

GG - Chov hospodářských zvířat

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

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

ISBN

978-3-319-21206-7

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

73-84

Název nakladatele

SPRINGER-VERLAG

Místo vydání

BERLIN, HEIDELBERGER PLATZ 3

Místo konání akce

Tech Univ Ostrava, Ostrava, CZECH REPUBLIC

Datum konání akce

26. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000365130300007