Li Xue, Song Guorong, Cao Qingyun, Mo Qianyuan, Fu Yang, Chen Jianying, Lukuyu Ben, Wang Shunxiang, Ye Hui, Zhu Yongwen, Muhammad Kashif Saleemi, Yang Lin, Pan Jie, Wang Wence
State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510640, PR China.
International Livestock Research Institute, Nairobi, 00100, Kenya.
Poult Sci. 2025 May 5;104(8):105267. doi: 10.1016/j.psj.2025.105267.
Nonlinear models are frequently utilized to study the growth and development of livestock and poultry, and to investigate the dynamic relationship with the intestinal microbiota changes. In this study, a total of 180 Magang geese (1-day-old) were selected and randomly divided into 6 replicates with 30 geese in each replicate. The growth performance, organ development, and intestinal flora composition of geese aged 7, 14, 21, 28, 42, 50, 60, and 70 d were observed. A total of 3 nonlinear growth models were applied to fit the development curves, aiming to explore the ontogenic development of Magang geese and the dynamic changes in the intestinal flora. Our results demonstrated that the Gompertz model serves as the most suitable model for simulating the growth pattern of Magang geese (R=0.996). Using this model, the weight of the inflection point in Magang geese was 3.470 kg, the age of the inflection point was 25.460 d, and the maximum daily gain was 0.061 kg. The development curves of the liver, kidney, and pancreas conform to the Logistic model (R=0.901, 0.978, 0.971), while the intestinal development also followed this model. The bacteria involved in energy metabolism (Subdoligranulum, Bacteroides, Romboutsia) and the bacteria inhibiting the colonization of harmful bacteria (Blautia) in cecum changed rapidly from 7 to 14 d, and microbial community composition stabilized after 21 d. In conclusion, our findings indicated that the ontogenic pattern of the Magang goose conformed to the Gompertz growth curve. The period from 7 to 42 d represents the rapid growth phase for Magang geese, during which organ development occurs, and cecal microbiota composition becomes increasingly stable.
非线性模型常用于研究畜禽的生长发育，并探究其与肠道微生物群变化的动态关系。本研究选取180只1日龄马岗鹅，随机分为6个重复组，每组30只。观察了7、14、21、28、42、50、60和70日龄鹅的生长性能、器官发育和肠道菌群组成。应用3种非线性生长模型拟合发育曲线，旨在探究马岗鹅的个体发育及肠道菌群的动态变化。结果表明，Gompertz模型最适合模拟马岗鹅的生长模式（R=0.996）。利用该模型，马岗鹅拐点体重为3.470 kg，拐点年龄为25.460 d，最大日增重为0.061 kg。肝脏、肾脏和胰腺的发育曲线符合Logistic模型（R=0.901、0.978、0.971），肠道发育也遵循该模型。盲肠中参与能量代谢的细菌（Subdoligranulum、拟杆菌属、罗姆布茨菌属）和抑制有害细菌定植的细菌（布劳特氏菌属）在7至14 d迅速变化，21 d后微生物群落组成趋于稳定。总之，研究结果表明马岗鹅的个体发育模式符合Gompertz生长曲线。7至42 d是马岗鹅的快速生长阶段，在此期间器官发育，盲肠微生物群组成逐渐稳定。
