Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks
This study evaluated an established dynamic prediction model for protein and amino acid nutritional requirements on growth performance and health in layer chicks. A total of 288 one-day-old healthy Jing Tint 6 chicks were randomly divided into four treatment groups with 6 replicates of 12 chicks eac...
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MDPI AG
2025-07-01
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| Series: | Animals |
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| author | Zhi-Yuan Xia Alainaa Refaie Miao Liu You-Yang Wei Lv-Hui Sun Zhang-Chao Deng |
| author_facet | Zhi-Yuan Xia Alainaa Refaie Miao Liu You-Yang Wei Lv-Hui Sun Zhang-Chao Deng |
| author_sort | Zhi-Yuan Xia |
| collection | DOAJ |
| description | This study evaluated an established dynamic prediction model for protein and amino acid nutritional requirements on growth performance and health in layer chicks. A total of 288 one-day-old healthy Jing Tint 6 chicks were randomly divided into four treatment groups with 6 replicates of 12 chicks each. The chicks in the four groups were fed a basal diet (BD) according to the feeding standards and a model diet (MD) based on the dynamic prediction model for protein and amino acid values at 90%, 100%, or 110% for 6 weeks. The results showed that, compared to the BD, the 110% MD increased (<i>p</i> < 0.05) the FI and the 100% MD had no effect (<i>p</i> > 0.05) on FI, BWG, and FCR of chicks throughout the entire feeding phase. The 90% MD, however, significantly reduced (<i>p</i> < 0.05) FI and BWG, while also increasing (<i>p</i> < 0.05) FCR during the 3–6- and 0–6-week periods. Additionally, compared to the BD, the 100% MD had a lower (<i>p</i> < 0.05) intake of crude protein, methionine, lysine, and threonine than that of the BD. Both the 100% and 110% MDs increased (<i>p</i> < 0.05) bursa weight and its index at the 2nd week, while the 90% MD reduced (<i>p</i> < 0.05) the weights of the liver, spleen, and pancreas at the 6th week when compared to the BD. Moreover, the 100% MD increased (<i>p</i> < 0.05) the weights of the duodenum and jejunum, while the 90% MD decreased (<i>p</i> < 0.05) jejunum and ileum length at the 2nd or 6th week. Furthermore, no differences (<i>p</i> > 0.05) were found in serum ALT, AST, BUN, and UA between the 100% MD and BD groups. In conclusion, the dynamic prediction model can minimize protein waste while supporting healthy growth and development in layer chicks. |
| format | Article |
| id | doaj-art-82ad60d2f5204009bca4d18f66e4c31f |
| institution | Kabale University |
| issn | 2076-2615 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| series | Animals |
| spelling | doaj-art-82ad60d2f5204009bca4d18f66e4c31f2025-08-20T03:28:34ZengMDPI AGAnimals2076-26152025-07-011513196810.3390/ani15131968Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer ChicksZhi-Yuan Xia0Alainaa Refaie1Miao Liu2You-Yang Wei3Lv-Hui Sun4Zhang-Chao Deng5State Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaState Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaState Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaState Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaState Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaState Key Laboratory of Agricultural Microbiology, Key Laboratory of Smart Farming Technology for Agricultural Animals of Ministry of Agriculture and Rural Affairs, Hubei Hongshan Laboratory, Frontiers Science Center for Animal Breeding and Sustainable Production, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, ChinaThis study evaluated an established dynamic prediction model for protein and amino acid nutritional requirements on growth performance and health in layer chicks. A total of 288 one-day-old healthy Jing Tint 6 chicks were randomly divided into four treatment groups with 6 replicates of 12 chicks each. The chicks in the four groups were fed a basal diet (BD) according to the feeding standards and a model diet (MD) based on the dynamic prediction model for protein and amino acid values at 90%, 100%, or 110% for 6 weeks. The results showed that, compared to the BD, the 110% MD increased (<i>p</i> < 0.05) the FI and the 100% MD had no effect (<i>p</i> > 0.05) on FI, BWG, and FCR of chicks throughout the entire feeding phase. The 90% MD, however, significantly reduced (<i>p</i> < 0.05) FI and BWG, while also increasing (<i>p</i> < 0.05) FCR during the 3–6- and 0–6-week periods. Additionally, compared to the BD, the 100% MD had a lower (<i>p</i> < 0.05) intake of crude protein, methionine, lysine, and threonine than that of the BD. Both the 100% and 110% MDs increased (<i>p</i> < 0.05) bursa weight and its index at the 2nd week, while the 90% MD reduced (<i>p</i> < 0.05) the weights of the liver, spleen, and pancreas at the 6th week when compared to the BD. Moreover, the 100% MD increased (<i>p</i> < 0.05) the weights of the duodenum and jejunum, while the 90% MD decreased (<i>p</i> < 0.05) jejunum and ileum length at the 2nd or 6th week. Furthermore, no differences (<i>p</i> > 0.05) were found in serum ALT, AST, BUN, and UA between the 100% MD and BD groups. In conclusion, the dynamic prediction model can minimize protein waste while supporting healthy growth and development in layer chicks.https://www.mdpi.com/2076-2615/15/13/1968Jing Tint 6layer chicksprotein requirementsgrowth performancemodel validation |
| spellingShingle | Zhi-Yuan Xia Alainaa Refaie Miao Liu You-Yang Wei Lv-Hui Sun Zhang-Chao Deng Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks Animals Jing Tint 6 layer chicks protein requirements growth performance model validation |
| title | Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks |
| title_full | Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks |
| title_fullStr | Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks |
| title_full_unstemmed | Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks |
| title_short | Validation with the Dynamic Prediction Model of Protein and Amino Acid Requirements for Growth Performance and Health in Layer Chicks |
| title_sort | validation with the dynamic prediction model of protein and amino acid requirements for growth performance and health in layer chicks |
| topic | Jing Tint 6 layer chicks protein requirements growth performance model validation |
| url | https://www.mdpi.com/2076-2615/15/13/1968 |
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