文章摘要
段娇阳,刘慧,陈四清,蒋增杰,蔺凡,常丽荣,卢龙飞.基于DEB理论的皱纹盘鲍个体生长模型参数的测定.渔业科学进展,2020,41(5):110-117
基于DEB理论的皱纹盘鲍个体生长模型参数的测定
The Measurement of Parameters for the Dynamic Energy Budget (DEB) Model in Haliotis discus hannai (Disk Abalone)
投稿时间:2019-07-22  修订日期:2019-08-02
DOI:10.19663/j.issn2095-9869.20190722001
中文关键词: 皱纹盘鲍  DEB理论  模型参数
英文关键词: Haliotis discus hannai  Dynamic energy budget (DEB) theory  Model parameters
基金项目:
作者单位
段娇阳 上海海洋大学水产科学国家级实验教学示范中心 水产动物遗传育种中心上海市协同创新中心 上海水产养殖工程技术研究中心 上海 201306中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 青岛 266071 
刘慧 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 青岛 266071 
陈四清 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 青岛 266071 
蒋增杰 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 青岛 266071 
蔺凡 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业可持续发展重点实验室 青岛 266071 
常丽荣 威海长青海洋科技股份有限公司 荣成 264316 
卢龙飞 威海长青海洋科技股份有限公司 荣成 264316 
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中文摘要:
      为获取皱纹盘鲍(Haliotis discus hannai)个体生长模型所需的6个关键参数,设计了饥饿耗能、温度对耗氧的影响等相关生理实验,计算得到各项参数值。单位体积维持耗能率的值 、形成单位体积结构物质所需的能量值 、单位体积最大储存能量 和储备能量值 4个参数,通过连续测定皱纹盘鲍饥饿过程中呼吸耗氧率和软组织干重不断下降直至保持稳定时的能量值计算;温度函数中Arrhenius温度 的数值根据皱纹盘鲍在不同温度梯度下的单位干重耗氧率测定、计算;形状系数δm值通过统计测量的壳长、软组织湿重等生物学参数拟合回归得到。结果显示,皱纹盘鲍在饥饿后,呼吸耗氧率和软组织干重分别降低了26.3%和70.0%,呼吸耗氧率由2.69 mg/(ind.∙h)逐渐降低并稳定在0.8 mg/(ind.∙h),软组织干重由(5.21±0.89) g降低至(3.84±0.22) g;根据公式计算得 和 的值分别为20.18 J/(cm3∙d)和8120 J/cm;皱纹盘鲍饥饿前后有机物含量分别为80%和58%,经过换算, 和 的值分别为2726 J/cm3和32583 J/g。不同规格的皱纹盘鲍在水温为5℃~20℃范围内,温度与单位干重耗氧率呈正比;当水温超过20℃之后,温度与单位干重耗氧率呈反比。在转折点20℃之前,单位干重耗氧率的ln值与温度(热力学温度,K)的倒数呈线性关系,线性回归方程斜率的绝对值为Arrhenius温度 值( =7196 K)。生物学统计分析鲍壳长(L)与体积(V)呈三次函数关系:V=0.0639 L3.1621(R²=0.9852),根据公式对软组织湿重的立方根与壳长进行线性回归,所得的斜率即为形状系数δm值(δm=0.43)。本研究对建立以DEB理论为指导的皱纹盘鲍个体生长模型提供了数据支撑。
英文摘要:
      Six key parameters for the dynamic energy budget (DEB) model of the disk abalone (Haliotis discus hannai) were obtained through physiological experiments. The goal was to determine the influence of starvation on energy consumption and the influence of temperature on oxygen consumption. The value of four parameters, i.e., Volume-specific maintenance costs , Volume- specific costs for structure , Maximum storage density , and Energy content of reserve , was calculated through measuring energy consumption when oxygen consumption rate and dry flesh weight had ceased to decrease and remained steady during the starvation period. The value of Arrhenius temperature ( ) was determined by measuring oxygen consumption rate of abalone per unit dry weight under different mperature gradients. The value of shape coefficient (δm) was calculated with a regression equation based on length and body mass data. The results showed: After the starvation experiment, dry flesh weight and oxygen consumption rate decreased by 26.3% and 70%, respectively. Meanwhile, the oxygen consumption rate increased from 2.69 mg/(ind.∙h) to 0.8 mg/(ind.∙h), and remained constant. The dry flesh weight decreased from (5.21±0.89) g to (3.84±0.22) g. Calculated according to the standard formulas, the values of and were 20.18 J/(cm3∙d) and 8120 J/cm3, respectively. The content of organic matter before and after starvation was 80% and 58%, respectively. Through conversion of the organic content, the values of and were 2726 J/cm3 and 32583 J/g, respectively. For abalone of different sizes, temperature was proportional to the oxygen consumption rate at water temperatures of 5℃~20℃, and the temperature was inversely proportional to the oxygen consumption rate over 20℃. Before the turning point of 20℃, the ln value of the oxygen consumption rate was linearly correlated to the reciprocal of the thermodynamic temperature. The absolute value of the slope of the linear regression equation was the Arrhenius temperature value ( =7196 K) before the turning point (20℃). Through biological statistical analysis, there was a cubic function relationship between abalone shell length (L) and volume (V): V=0.0639L3.1621 (R²=0.9852). The slope was shown as the Shape coefficient value (δm=0.43), which was calculated by linear regression of volume of the cube root of the soft tissue and shell length. This study provides scientific data support for the construction of an individual-based model following the DEB theory for H. discus hannai.
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