Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization

The modeling process has a wide range of applications in animal nutrition. The purpose of this work is to determine whether particle swarm optimization (PSO) could be used to explain the fermentation curves of some legume forages. The model suited the fermentation data with minor statistical differe...

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Main Author: Valiollah Palangi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/13/8/1339
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author Valiollah Palangi
author_facet Valiollah Palangi
author_sort Valiollah Palangi
collection DOAJ
description The modeling process has a wide range of applications in animal nutrition. The purpose of this work is to determine whether particle swarm optimization (PSO) could be used to explain the fermentation curves of some legume forages. The model suited the fermentation data with minor statistical differences (R<sup>2</sup> > 0.98). In addition, reducing the number of iterations enhanced this method’s benefits. Only Models I and II could successfully fit the fermentability data (R<sup>2</sup> > 0.98) in the vetch and white clover fermentation curve because the negative parameters (calculated in Models III and IV) were not biologically acceptable. Model IV could only fit the alfalfa fermentation curve, which had higher R values and demonstrated the model’s dependability. In conclusion, it is advised to use PSO to match the fermentation curves. By examining the fermentation curves of feed materials, animal nutritionists can obtain a broader view of what ruminants require in terms of nutrition.
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spelling doaj.art-cd35f2656f0d4a1c814c9cdd52ff5f2a2023-11-17T18:00:23ZengMDPI AGAnimals2076-26152023-04-01138133910.3390/ani13081339Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm OptimizationValiollah Palangi0Department of Animal Science, Faculty of Agriculture, Ege University, Bornova, Izmir 35100, TürkiyeThe modeling process has a wide range of applications in animal nutrition. The purpose of this work is to determine whether particle swarm optimization (PSO) could be used to explain the fermentation curves of some legume forages. The model suited the fermentation data with minor statistical differences (R<sup>2</sup> > 0.98). In addition, reducing the number of iterations enhanced this method’s benefits. Only Models I and II could successfully fit the fermentability data (R<sup>2</sup> > 0.98) in the vetch and white clover fermentation curve because the negative parameters (calculated in Models III and IV) were not biologically acceptable. Model IV could only fit the alfalfa fermentation curve, which had higher R values and demonstrated the model’s dependability. In conclusion, it is advised to use PSO to match the fermentation curves. By examining the fermentation curves of feed materials, animal nutritionists can obtain a broader view of what ruminants require in terms of nutrition.https://www.mdpi.com/2076-2615/13/8/1339legume foragesfermentation curvesmathematical model
spellingShingle Valiollah Palangi
Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
Animals
legume forages
fermentation curves
mathematical model
title Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
title_full Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
title_fullStr Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
title_full_unstemmed Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
title_short Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization
title_sort identification of ruminal fermentation curves of some legume forages using particle swarm optimization
topic legume forages
fermentation curves
mathematical model
url https://www.mdpi.com/2076-2615/13/8/1339
work_keys_str_mv AT valiollahpalangi identificationofruminalfermentationcurvesofsomelegumeforagesusingparticleswarmoptimization