Growth Models of Female Dairy Cattle
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39917147" target="_blank" >RIV/00216275:25530/20:39917147 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-57802-2_26." target="_blank" >http://dx.doi.org/10.1007/978-3-030-57802-2_26.</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-57802-2_26." target="_blank" >10.1007/978-3-030-57802-2_26.</a>
Alternative languages
Result language
angličtina
Original language name
Growth Models of Female Dairy Cattle
Original language description
Different methods of representing animal growth are possible and are defined for different animal categories. In this paper, weight measuring of female dairy cattle will be modelled by several nonlinear models. The most commonly used methods for describing the growth of animals are: Gompertz function, logistic function, Schmalhausen function, Brody function, Weibull function, Wood function and Von Bertalanffy function. Measured weight values and estimated parameters of growth curves will be analyzed using regression analysis methods. We will work with the weight measurements of 10 calves under 25 months of age from cowsheds in village Záluží in the Czech Republic. A comparison of several growth curves will be done. The suitability of individual models will be evaluated not only by the index of determination, but also by the intrinsic curvature according to Bates andWatts. This curvature affects the size of the linearization areas in which initial solution will ensure convergence of nonlinear regression.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
ISBN
978-3-030-57801-5
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
"266–275"
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Burgos
Event date
Sep 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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