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Evaluation of performance models for farm-specific optimization of pig production

Frederik Leen UGent, Alice Van den Broeke, Bart Ampe, Ludwig Lauwers UGent, Jef Van Meensel and Sam Millet (2017) LIVESTOCK SCIENCE. 201. p.99-108
abstract
Farm-specific optimization of pig production can be supported with a production function mechanistically derived from dynamic growth and feed intake information, hereafter called performance curves. Production theoretical optimization requires, first, an accurate description of underlying processes and, second, possibilities for calibrations with available on-farm data. The objective is to evaluate accuracy and calibration requirements of seven models: the Gompertz, Monomolecular, Richards and Generalized Michaelis-Menten (GMM) model for growth and the cumulative feed intake and weight (CFIW), Bridges and Giesen models for both growth and feed intake. Evaluation is done with data from four trials with four sexes of a Pietrain x hybrid sow cross: boars, barrows, gilts and GnRH-vaccinated boars. Accuracy was evaluated with Root Mean Squared Errors (RMSE) of predictions versus observations and F-tests for differences in goodness-of-fit to discriminate between models. Calibration possibilities were evaluated through fitting the models through limited data. The Giesen, Bridges and GMM model, describing sigmoidal growth patterns, showed the highest accuracy. In terms of calibration possibilities, the Bridges model slightly outperformed the other. The Giesen model is accurate for describing feed intake of boars, barrows, gilts. GnRH-vaccinated animals showed unstable variance with increasing age of the animal, which could only partially been solved with extensions to the Bridges and Giesen model. The research showed that dynamic growth and feed intake curves can be reasonably estimated from limited on-farm collectable data and generic functional forms, and as such account for farm specificity in production-theoretical economic optimization.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
MEAT QUALITY, GROWTH, CARCASS, CURVES, SWINE, GILTS, Pig production, Accuracy, Calibration possibilities, Live weight model, Feed intake model
journal title
LIVESTOCK SCIENCE
Livest. Sci.
volume
201
pages
99 - 108
Web of Science type
Article
Web of Science id
000403734500015
ISSN
1871-1413
1878-0490
DOI
10.1016/j.livsci.2017.05.006
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8526672
handle
http://hdl.handle.net/1854/LU-8526672
date created
2017-07-07 12:39:24
date last changed
2017-08-02 13:33:27
@article{8526672,
  abstract     = {Farm-specific optimization of pig production can be supported with a production function mechanistically derived from dynamic growth and feed intake information, hereafter called performance curves. Production theoretical optimization requires, first, an accurate description of underlying processes and, second, possibilities for calibrations with available on-farm data. The objective is to evaluate accuracy and calibration requirements of seven models: the Gompertz, Monomolecular, Richards and Generalized Michaelis-Menten (GMM) model for growth and the cumulative feed intake and weight (CFIW), Bridges and Giesen models for both growth and feed intake. Evaluation is done with data from four trials with four sexes of a Pietrain x hybrid sow cross: boars, barrows, gilts and GnRH-vaccinated boars. Accuracy was evaluated with Root Mean Squared Errors (RMSE) of predictions versus observations and F-tests for differences in goodness-of-fit to discriminate between models. Calibration possibilities were evaluated through fitting the models through limited data. The Giesen, Bridges and GMM model, describing sigmoidal growth patterns, showed the highest accuracy. In terms of calibration possibilities, the Bridges model slightly outperformed the other. The Giesen model is accurate for describing feed intake of boars, barrows, gilts. GnRH-vaccinated animals showed unstable variance with increasing age of the animal, which could only partially been solved with extensions to the Bridges and Giesen model. The research showed that dynamic growth and feed intake curves can be reasonably estimated from limited on-farm collectable data and generic functional forms, and as such account for farm specificity in production-theoretical economic optimization.},
  author       = {Leen, Frederik and Van den Broeke, Alice and Ampe, Bart and Lauwers, Ludwig and Van Meensel, Jef and Millet, Sam},
  issn         = {1871-1413},
  journal      = {LIVESTOCK SCIENCE},
  keyword      = {MEAT QUALITY,GROWTH,CARCASS,CURVES,SWINE,GILTS,Pig production,Accuracy,Calibration possibilities,Live weight model,Feed intake model},
  language     = {eng},
  pages        = {99--108},
  title        = {Evaluation of performance models for farm-specific optimization of pig production},
  url          = {http://dx.doi.org/10.1016/j.livsci.2017.05.006},
  volume       = {201},
  year         = {2017},
}

Chicago
Leen, Frederik, Alice Van den Broeke, Bart Ampe, Ludwig Lauwers, Jef Van Meensel, and Sam Millet. 2017. “Evaluation of Performance Models for Farm-specific Optimization of Pig Production.” Livestock Science 201: 99–108.
APA
Leen, F., Van den Broeke, A., Ampe, B., Lauwers, L., Van Meensel, J., & Millet, S. (2017). Evaluation of performance models for farm-specific optimization of pig production. LIVESTOCK SCIENCE, 201, 99–108.
Vancouver
1.
Leen F, Van den Broeke A, Ampe B, Lauwers L, Van Meensel J, Millet S. Evaluation of performance models for farm-specific optimization of pig production. LIVESTOCK SCIENCE. 2017;201:99–108.
MLA
Leen, Frederik, Alice Van den Broeke, Bart Ampe, et al. “Evaluation of Performance Models for Farm-specific Optimization of Pig Production.” LIVESTOCK SCIENCE 201 (2017): 99–108. Print.