汪福保,程光兆,董浚键,孙成飞,王 淼,卢迈新,叶 星.人工配合饲料池塘养殖翘嘴鳜广清 1 号生长模型构建[J].广东农业科学,2022,49(5):125-132 |
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人工配合饲料池塘养殖翘嘴鳜广清 1 号生长模型构建 |
Construction of Growth Model for Mandarin Fish(Siniperca chuatsi) Guangqing No.1 fed withCompound Diet and cultivated in Pond |
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DOI:10.16768/j.issn.1004-874X.2022.05.015 |
中文关键词: 翘嘴鳜 生长模型 人工配合饲料 池塘养殖 形体参数 生长性能 |
英文关键词: Siniperca chuatsi growth model compound diet pond culture morphological parameter growth performance |
基金项目:广东省重点领域研发计划项目(2021B0202020001);国家现代农业产业技术体系专项(CARS-46);中国水产科学研究院鳜鲈基因组学与选择技术创新团队(2020TD23);中国水产科学研究院珠江水产研究所鳜鲈基因组学与选择技术创新团队(2020ZJTD?02) |
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中文摘要: |
【目的】了解 池塘养殖模式下人工配合饲料养殖翘嘴鳜(Siniperca chuatsi)广清 1 号(以下简称
饲料鳜)的生长发育规律,为饲料鳜的选育和规模化养殖提供参考。【方法】对一个生产周期下不同月龄饲料
鳜的形体参数和生长性能进行测定,应用 Logistic、Gompertz 和 Bertalanffy 等 3 种非线性模型对其体重和体长进
行生长模型构建。【结果】饲料鳜绝对增重最大值出现在 5 月龄,绝对增长出现在 3 月龄,而相对增重率和相
对增长率则均在 4 月龄开始出现下降。形体参数中肥满度、脏体指数、脂体指数随月龄呈现上升趋势,肝体指
数和肠胃体指数则呈现下降趋势。构建的 3 种模型均能较好地模拟饲料鳜的生长曲线,拟合度(R2
)≥ 0.97。
模型预计值和实测值之间的相关分析表明 Logistic 模型更优,相应的体重和体长生长模型分别为 Wt
=1230.808/
(1+39.666e-0.760t),R2
=0.989;Lt
=40.871/(1+3.076e-0.387t),R2
=0.990。 体 重 生 长 拐 点 为 4.843 月 龄, 相 应 的 体 重 为
615.404 g,体长为 20.436 cm。【结论】L ogistic 模型更适合用于描述饲料鳜的生长过程,能对其各阶段的生长数
据进行预测,为饲料鳜进一步选育和规模化养殖提供理论依据。 |
英文摘要: |
【Objective】The study was conducted to understand the growth and development law of Siniperca
chuatsi Guangqing No.1 (hereinafter called mandarin fish) fed with compound diet and cultivated in pond so as to provide
references for the breeding and large-scale culture of mandarin fish.【Method】The morphological parameters and
growth performance of mandarin fish fed with compound diet at different month-ages in a whole cultivation period were measured. Three nonlinear models, Logistic, Gompertz and Bertalanffy, were used to construct the growth curves of both body
mass and body length of the mandarin fish. 【Result】The maximum absolute body weight gain and absolute body length
gain were found at 5-month-age fish, and 3-month-age fish, respectively. While the relative body weight gain and body
length gain began to decrease from 4 months age. Morphological parameters, including condition factor (CF), viscerosomatic
index (VSI) and mesenteric fat index (MFI) increased while hepatosomatic index (HIS) and intestine & stomach index (ISI)
decreased as the fish month ages increased. The three models could simulate the growth curve of mandarin fish well, with
a degree of fit R2 ≥ 0.97. Correlation analysis between the model predicted value and the measured value showed that
the Logistic model was better than the other two models. The growth models for body mass and both length were as follows
respectively, Wt
=1230.808/(1+39.666e-0.760t), R2
=0.989; Lt
=40.871/(1+3.076e-0.387t), R2
=0.990. The growth inflection point
for body mass was at 4.843 months, corresponding to body mass and both length of 615.404 g and 20.436 cm, respectively.
【Conclusion】Logistic model is more suitable to describe the growth process of mandarin fish, and it can predict the growth
data of different stages, which will provide theoretical basis for further breeding and large-scale culture of mandarin fish fed
with compound diet. |
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