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小鼠估计生长曲线参数的表型和遗传变异性。

Phenotypic and genetic variability of estimated growth curve parameters in mice.

机构信息

Department of Animal Sciences, University of Illinois, 1207 W. Gregory Drive, 61801, Urbana, IL, USA.

出版信息

Theor Appl Genet. 1988 Jul;76(1):148-56. doi: 10.1007/BF00288846.

Abstract

Data from 1,919 outbred ICR mice were used to examine the potential usefulness of growth curve parameters as selection criteria for altering the relationship between body weight and age. A logistic growth function was used to model growth through 12 weeks of age. Estimates of asymptotic weight (A), maximum growth rate (r) and age at point of inflection (t()) were obtained by nonlinear least-squares. A log transformation was also used to stabilize residual variance. Phenotypic and genetic parameters were estimated for the estimated growth curve parameters and for body weights at 2, 3, 4.5, 6, 8 and 12 weeks of age. Heritabilities of estimated growth curve parameters (obtained with and without a log transformation, respectively) were: A (0.28±0.07, 0.28±0.07), r (0.35±0.07, 0.53±0.09) and t() (0.41±0.08, 0.44±0.08). Estimated genetic correlations suggest that t(*) may be useful in selecting for rapid early growth without increasing mature weight.

摘要

利用 1919 只远交 ICR 小鼠的数据,考察生长曲线参数作为改变体重与年龄之间关系的选择标准的潜在有用性。使用逻辑生长函数对 12 周龄之前的生长进行建模。通过非线性最小二乘法获得渐近体重(A)、最大生长率(r)和拐点年龄(t())的估计值。对数转换也用于稳定剩余方差。对估计的生长曲线参数和 2、3、4.5、6、8 和 12 周龄时的体重进行表型和遗传参数估计。分别使用和不使用对数转换获得的估计生长曲线参数的遗传力为:A(0.28±0.07, 0.28±0.07)、r(0.35±0.07, 0.53±0.09)和 t()(0.41±0.08, 0.44±0.08)。估计的遗传相关性表明,t(*) 可能有助于选择快速早期生长而不增加成熟体重。

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