Xia Zhi-Yuan, Refaie Alainaa, Liu Miao, Wei You-Yang, Sun Lv-Hui, Deng Zhang-Chao
State 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, China.
Animals (Basel). 2025 Jul 4;15(13):1968. doi: 10.3390/ani15131968.
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 ( < 0.05) the FI and the 100% MD had no effect ( > 0.05) on FI, BWG, and FCR of chicks throughout the entire feeding phase. The 90% MD, however, significantly reduced ( < 0.05) FI and BWG, while also increasing ( < 0.05) FCR during the 3-6- and 0-6-week periods. Additionally, compared to the BD, the 100% MD had a lower ( < 0.05) intake of crude protein, methionine, lysine, and threonine than that of the BD. Both the 100% and 110% MDs increased ( < 0.05) bursa weight and its index at the 2nd week, while the 90% MD reduced ( < 0.05) the weights of the liver, spleen, and pancreas at the 6th week when compared to the BD. Moreover, the 100% MD increased ( < 0.05) the weights of the duodenum and jejunum, while the 90% MD decreased ( < 0.05) jejunum and ileum length at the 2nd or 6th week. Furthermore, no differences ( > 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.
本研究评估了一个既定的蛋白质和氨基酸营养需求动态预测模型对蛋鸡生长性能和健康状况的影响。总共288只1日龄健康京粉6号雏鸡被随机分为4个处理组，每组6个重复，每个重复12只雏鸡。四组雏鸡按照饲养标准饲喂基础日粮（BD），并根据蛋白质和氨基酸值的动态预测模型，分别在90%、100%或110%水平饲喂模型日粮（MD），持续6周。结果表明，与BD相比，110%MD组在整个饲喂阶段提高了（<0.05）采食量（FI），而100%MD组对雏鸡的FI、体重增长（BWG）和料重比（FCR）没有影响（>0.05）。然而，90%MD组在3 - 6周龄和0 - 6周龄期间显著降低了（<0.05）FI和BWG，同时也提高了（<0.05）FCR。此外，与BD相比，100%MD组的粗蛋白、蛋氨酸、赖氨酸和苏氨酸摄入量低于BD组（<0.05）。100%和110%MD组在第2周均提高了（<0.05）法氏囊重量及其指数，而与BD相比，90%MD组在第6周降低了肝脏、脾脏和胰腺的重量（<0.05）。此外，100%MD组提高了（<0.05）十二指肠和空肠的重量，而在第2周或第6周，90%MD组降低了（<0.05）空肠和回肠的长度。此外，100%MD组和BD组之间的血清谷丙转氨酶（ALT）、谷草转氨酶（AST）、尿素氮（BUN）和尿酸（UA）没有差异（>0.05）。总之，该动态预测模型在支持蛋鸡健康生长发育的同时，可将蛋白质浪费降至最低。
