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首页> 外文期刊>ICES Journal of Marine Science >Age estimation of red snapper (Lutjanus campechanus) using FT-NIR spectroscopy: feasibility of application to production ageing for management
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Age estimation of red snapper (Lutjanus campechanus) using FT-NIR spectroscopy: feasibility of application to production ageing for management

机译：使用FT-NIR光谱的红鲷鱼（Lutjanus CampechaneS）的年龄估计：用于管理生产老化的应用的可行性

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摘要

Recent application of Fourier transform near infra-red spectroscopy (FT-NIRS) to predict age in fish otoliths has gained attention among fisheries managers as a potential alternative to costly production ageing of managed species. We assessed the age prediction capability of FT-NIRS scans in whole otoliths from red snapper, Lutjanus campechanus, collected from the US Gulf of Mexico and US Atlantic Ocean (South Atlantic). Otoliths were scanned with an FT-NIR spectrometer and resulting spectral signatures were regressed with traditionally estimated ages via partial least squares regression to produce calibration models, which were validated for predictive capability against test sets of otoliths. Calibration models successfully predicted age with R-2 ranging 0.94-0.95, mean squared error = 1.8 years, and bias 0.02 years. Percent agreement between FT-NIRS and traditional ages was lower than within-reader agreement for traditional estimates, but average percent error was similar and Kolmogorov-Smirnov tests were not significantly different (p = 0.06) between traditional and FT-NIRS predicted ages for optimal calibration models. Ages 31 years were not well predicted, possibly due to light attenuation in the thickest otoliths. Our results suggest that FT-NIRS can improve efficiency in production ageing for fisheries management while maintaining data quality standards.
机译：傅里叶变换最近在红外光谱附近的应用（FT-NIRS）预测鱼欧特里斯的年龄，渔业经理在渔业经理中的注意力作为昂贵的管理物种昂贵生产老化的潜在替代品。我们评估了FT-NIRS扫描的全部右侧偏乐，Lutjanus营地康科斯科斯的年龄预测能力，从美国墨西哥和美国大西洋（南大西洋）收集。用FT-NIR光谱仪扫描Otoliths，并通过偏最小二乘回归与传统估计的年份回归产生的光谱签名，以产生校准模型，以验证互联网测试集的预测能力。校准模型成功预测年龄，R-2范围为0.94-0.95，平均平均误差<= 1.8岁，偏差<0.02岁。 FT-NIR和传统年龄之间的协议百分比低于读者内部的传统估计内的协议，但平均误差是类似的，并且在传统和FT-NIR预测的年龄之间，Kolmogorov-Smirnov测试在传统和FT-NIR之间没有显着差异（P> = 0.06）最佳校准模型。年龄> 31岁未预测，可能是由于最厚的偏岩中的光衰减。我们的研究结果表明，FT-NIR可以提高渔业管理生产老化的效率，同时保持数据质量标准。

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