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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MDPI AG
2023-04-01
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Series: | Animals |
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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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institution | Directory Open Access Journal |
issn | 2076-2615 |
language | English |
last_indexed | 2024-03-11T05:19:20Z |
publishDate | 2023-04-01 |
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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 |