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日本北海道附近太平洋海域狭鳕潜在繁殖力模型的比较。

Comparison of potential fecundity models for walleye pollock Gadus chalcogrammus in the Pacific waters off Hokkaido, Japan.

作者信息

Tanaka H, Hamatsu T, Mori K

机构信息

Kushiro Laboratory, Hokkaido National Fisheries Research Institute, Japan Fisheries Research and Education Agency, 116 Katsurakoi, Kushiro, Hokkaido, 085-0802, Japan.

出版信息

J Fish Biol. 2017 Jan;90(1):236-248. doi: 10.1111/jfb.13178. Epub 2016 Oct 24.

DOI:10.1111/jfb.13178
PMID:27774595
Abstract

Potential fecundity models of walleye or Alaska pollock Gadus chalcogrammus in the Pacific waters off Hokkaido, Japan, were developed. They were compared using a generalized linear model with using either standard body length (L ) or total body mass (M ) as a main covariate along with Fulton's condition factor (K) and mean diameter of oocytes (D ) as additional potential covariates to account for maternal conditions and maturity stage. The results of model selection showed that M was a better single predictor of potential fecundity (F ) than L . The biological importance of K on F was obscure, because it was statistically significant when used in the predictor with L (i.e. length-based model), but not significant when used with M (i.e. mass-based model). Meanwhile, D was statistically significant in both length and mass-based models, suggesting the importance of downregulation on the number of oocytes with advancing maturation. Among all candidate models, the model with M and D in the predictor had the lowest Akaike's information criterion value, suggesting its better predictive power. These newly developed models will improve future comparisons of the potential fecundity within and among stocks by excluding potential biases other than body size.

摘要

本研究构建了日本北海道附近太平洋海域大眼狮鲈或黄线狭鳕的潜在繁殖力模型。以标准体长(L)或总体重(M)作为主要协变量,并结合福尔顿丰满度系数(K)和卵母细胞平均直径(D)作为额外的潜在协变量,以考虑母体状况和成熟阶段,利用广义线性模型对这些模型进行比较。模型选择结果表明,与L相比,M是潜在繁殖力(F)更好的单一预测指标。K对F的生物学重要性并不明确,因为在与L一起用作预测变量时(即基于体长的模型)具有统计学意义,但与M一起使用时(即基于体重的模型)不具有统计学意义。同时,D在基于体长和体重的模型中均具有统计学意义,这表明随着成熟度的提高,卵母细胞数量下调的重要性。在所有候选模型中,预测变量包含M和D的模型具有最低的赤池信息准则值,表明其具有更好的预测能力。这些新开发的模型将通过排除体型以外的潜在偏差,改进未来种群内部和种群之间潜在繁殖力的比较。

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