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An evaluation of relative weight as an indicator of body composition and nutritional status in wild fish.

机译:相对重量的评估,可作为野生鱼体内成分和营养状况的指标。

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摘要

Condition indices are widely used to generate biological insight. However, purported relationships to indices are imprecise or inconsistent in the wild. I investigated factors influencing relative weight (Wr), a condition index commonly applied to fish.;I first examined the relationship of Wr to physiology in two bluegill Lepomis macrochirus populations over a year. I regressed tissue composition (percentages of lipid, protein and water) and organ indices (liver-, gonad-, and viscerosomatic indices) on Wr. The regression model had little explanatory power (adjusted R2 = 0.14). Lipid was most influential (partial R2 = 0.11), but correlation strength fluctuated by season and population.;To test the generality of these results, I performed a similar regression on a bluegill population with higher average Wr. Again, variables were not well correlated to Wr (adjusted R2 = 0.13). Combining comparable data sets increased Wr range 64% but explanatory power was low (adjusted R2 = 0.41) Both studies showed that expected correlations of physiological variables to W r can be confounded in natural environments.;To examine differences between natural and laboratory environments, I manipulated initial Wr and ration of juvenile bluegills. Although organ indices and tissue composition of all groups changed in time (Wilks' Λ ≥ 0.387, P ≥ 0.03), no temporal pattern matched to Wr. At termination, all variables showed high correlations to Wr (r 2 ≥ 0.64). Correlation strength increased with time in the laboratory. Both ration and environment influenced correlations.;Lastly, I examined differences in interpretation of Wr for chain pickerels Esox niger, largemouth bass Micropterus salmoides, and black crappies Pomoxis nigromaculatus . Regression models were compared to concurrent bluegill models. Piscivore models fit well (adjusted R2 > 0.50), whereas bluegill models had the lowest explanatory power (adjusted R2 = 0.13 and 0.14). Ecological specialization affected correlations to Wr.;Theoretically, condition index values are determined by resource acquisition versus expenditure. Exact physiological expression is determined by life history and performance. Condition indices are imprecise predictors but track net somatic investment with great generality. Ancillary data, such as growth or length-at-maturity, may clarify interpretation. Condition indices should be used as qualitative monitoring tools, not omnibus physiological predictors.
机译:条件指数被广泛用于产生生物学见解。但是,据称与索引的关系在野外并不精确或不一致。我调查了影响相对重量(Wr)的因素,Wr是通常应用于鱼类的条件指标。我将组织组成(脂质,蛋白质和水的百分比)和器官指数(肝,性腺和内脏指数)进行了回归分析。回归模型几乎没有解释力(调整后的R2 = 0.14)。脂质的影响最大(部分R2 = 0.11),但相关强度随季节和种群而波动。为了检验这些结果的普遍性,我对平均Wr较高的蓝g种群进行了类似的回归分析。同样,变量与Wr的相关性不高(调整后的R2 = 0.13)。结合可比数据集,Wr范围增加了64%,但解释力很低(调整后的R2 = 0.41)两项研究均表明,在自然环境中,生理变量与Wr的预期相关性可能会混淆。操纵了幼年blue的初始Wr和定量。尽管所有组的器官指标和组织组成随时间变化(WilksΛ≥0.387,P≥0.03),但没有时间模式与Wr匹配。终止时,所有变量均显示出与Wr高度相关(r 2≥0.64)。在实验室中,相关强度随时间增加。比率和环境都影响相关性。最后,我检查了链pick鱼Esox niger,大嘴鲈Micropterus salmoides和黑cr Pomoxis nigromaculatus对Wr的解释差异。将回归模型与并发的bluegill模型进行了比较。食尸动物模型拟合得很好(调整后的R2> 0.50),而蓝g模型的解释力最低(调整后的R2 = 0.13和0.14)。生态专业化影响与Wr。的相关性;从理论上讲,条件指标值由资源获取与支出确定。确切的生理表达取决于生活史和表现。条件指标是不精确的预测指标,但具有很大的通用性来跟踪净的躯体投资。诸如生长或成熟长度之类的辅助数据可能会澄清解释。条件指标应用作定性监测工具,而不是综合的生理指标。

著录项

  • 作者

    Copeland, Timothy.;

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Agriculture Fisheries and Aquaculture.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 229 p.
  • 总页数 229
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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