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首页> 外文期刊>North American Journal of Fisheries Management >Utilizing External Features and a Consensus Field-Based Approach to Determine Sex of Lake Michigan Yellow Perch
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Utilizing External Features and a Consensus Field-Based Approach to Determine Sex of Lake Michigan Yellow Perch

机译：利用外部特征和基于共识的基础方法来确定密歇根湖黄鲈鱼性别

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Understanding fluctuations in population sex ratios is important for evaluating the effects of changes in population demographics and for making informed management decisions. The Yellow Perch Perca flavescens, an important sport fish in Lake Michigan, undergoes sexually dimorphic growth, likely resulting in differing vulnerabilities to angler harvest. However, sex ratio data from angler-harvested fish have not been collected because of the handling time and intrusiveness of the methods for distinguishing sexes. We utilized digital photographs of the urogenital papilla (UGP) from known-sex Yellow Perch to establish a method whereby UGP shape could be used to rapidly, accurately, and inexpensively determine the sex of Yellow Perch. Overall, 88.1% of Yellow Perch examined were assigned to the correct sex, and the sex ratio estimate of 48: 87 (female : male) did not differ significantly from the known sex ratio of 46: 89. Classification success was not affected by fish sex, TL, or month of collection. Our results demonstrate accurate, rapid, inexpensive, and nonlethal applicability of this method across a wide range of sizes and geographic and temporal scales. Applying this methodology will permit accurate sex ratio estimates for angler-harvested Yellow Perch, which can be used to better understand harvest composition and its implications for management.
机译：了解人口性别比率的波动对于评估人口统计学变化的影响以及提供知情管理决策的影响很重要。黄鲈鱼Perca Flavescens是密歇根湖的重要运动鱼，经历了性尺寸的生长，可能导致钓鱼者收获的不同脆弱性。然而，由于处理性别的方法的处理时间和侵入性，因此尚未收集来自钓鱼者收获的鱼的性别比例。我们利用来自已知性黄色鲈鱼的泌尿生殖器乳头（UGP）的数码照片，以建立一种方法，即UGP形状可用于快速，准确，廉价地确定黄鲈的性别。总体而言，88.1％的黄色栖息地被分配给正确的性别，而性别比率估计为48：87（女性：男性）从已知的性别比例没有显着差异为46：89.分类成功不受鱼类的影响性，TL或收集月份。我们的结果横跨各种尺寸和地理和时间秤显示了这种方法的准确，快速，廉价，并且对这种方法的绝对适用性。应用该方法将允许对垂钓者收获的黄色鲈鱼的准确性别比率估计，这可以用于更好地了解收获构图及其对管理的影响。

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