Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets
Accurate prediction of amino acid requirements in fast-growing broilers is crucial for cost-effective diet formulation and reducing nitrogen excretion to mitigate environmental impact. This study developed a dynamic model to predict standardized ileal digestible amino acid requirements throughout br...
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MDPI AG
2024-12-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/14/12/2354 |
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| author | Guangju Wang Xin Zhao Mengjie Xu Zhenwu Huang Jinghai Feng Minhong Zhang |
| author_facet | Guangju Wang Xin Zhao Mengjie Xu Zhenwu Huang Jinghai Feng Minhong Zhang |
| author_sort | Guangju Wang |
| collection | DOAJ |
| description | Accurate prediction of amino acid requirements in fast-growing broilers is crucial for cost-effective diet formulation and reducing nitrogen excretion to mitigate environmental impact. This study developed a dynamic model to predict standardized ileal digestible amino acid requirements throughout broiler growth using a factorial approach and the comparative slaughter technique, considering maintenance, growth, and gender factors. The model was based on an experiment were designed using 480 15-day-old Arbor Acres chickens randomly assigned to 10 groups. A linear equation was derived using established growth and protein deposition curves to calculate maintenance and growth coefficients. Models for five essential amino acids under different amino-acid-to-protein ratios were created (R<sup>2</sup> > 0.70). The model effectively estimated daily amino acid needs and specific time intervals. Comparisons with NRC (1994), BTPS (2011), and Arbor Acres manual (2018) showed higher predicted requirements for lysine, methionine, valine, and threonine than Arbor Acres (2018) and BTPS (2011), significantly exceeding NRC (1994). Arginine predictions aligned with BTPS in early stages, but were slightly lower in later stages. This supports the further development of dynamic amino acid models. |
| format | Article |
| id | doaj-art-90093c18e3cf4eb9a045afe319620fe2 |
| institution | DOAJ |
| issn | 2077-0472 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Agriculture |
| spelling | doaj-art-90093c18e3cf4eb9a045afe319620fe22025-08-20T02:55:31ZengMDPI AGAgriculture2077-04722024-12-011412235410.3390/agriculture14122354Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler DietsGuangju Wang0Xin Zhao1Mengjie Xu2Zhenwu Huang3Jinghai Feng4Minhong Zhang5State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, ChinaAccurate prediction of amino acid requirements in fast-growing broilers is crucial for cost-effective diet formulation and reducing nitrogen excretion to mitigate environmental impact. This study developed a dynamic model to predict standardized ileal digestible amino acid requirements throughout broiler growth using a factorial approach and the comparative slaughter technique, considering maintenance, growth, and gender factors. The model was based on an experiment were designed using 480 15-day-old Arbor Acres chickens randomly assigned to 10 groups. A linear equation was derived using established growth and protein deposition curves to calculate maintenance and growth coefficients. Models for five essential amino acids under different amino-acid-to-protein ratios were created (R<sup>2</sup> > 0.70). The model effectively estimated daily amino acid needs and specific time intervals. Comparisons with NRC (1994), BTPS (2011), and Arbor Acres manual (2018) showed higher predicted requirements for lysine, methionine, valine, and threonine than Arbor Acres (2018) and BTPS (2011), significantly exceeding NRC (1994). Arginine predictions aligned with BTPS in early stages, but were slightly lower in later stages. This supports the further development of dynamic amino acid models.https://www.mdpi.com/2077-0472/14/12/2354protein nutritionfactorial modelmaintenancegrowthpoultry |
| spellingShingle | Guangju Wang Xin Zhao Mengjie Xu Zhenwu Huang Jinghai Feng Minhong Zhang Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets Agriculture protein nutrition factorial model maintenance growth poultry |
| title | Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets |
| title_full | Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets |
| title_fullStr | Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets |
| title_full_unstemmed | Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets |
| title_short | Dynamic Modeling for Prediction of Amino Acid Requirements in Broiler Diets |
| title_sort | dynamic modeling for prediction of amino acid requirements in broiler diets |
| topic | protein nutrition factorial model maintenance growth poultry |
| url | https://www.mdpi.com/2077-0472/14/12/2354 |
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