Estimates of genetic parameters and genotype by environment interactions for growth traits of rainbow trout (Oncorhynchus mykiss) as inferred using molecular pedigrees
Estimates of genetic parameters and genotype by environment interactions for growth traits of rainbow trout (Oncorhynchus mykiss) as inferred using molecular pedigrees
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DOI：
10.1016/s0044-8486(01)00707-4
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发表时间：
2002-04-22
期刊：
影响因子：
4.5
通讯作者：
Gibson, JP
中科院分区：
文献类型：
--
作者：
Fishback, AG;Danzmann, RG;Gibson, JP
三个字符集之间的遗传相关性（早期后代的增长，后来的后代在8.5 degreesC的增长，后来的后代在15 degreesC的增长）的范围内的一个工作的商业虹鳟鱼（Oncorhynchus mykiss）水产养殖设施。使用微卫星多重基因分型系统以高准确度（91-95%）解析后代组的分子谱系。从限制最大似然法（REML）获得的遗传力估计值高于预期，从0.360到0.719的生长性状的总长度，重量和条件因素。通过单性状育种值（EBV）的相关性、多性状育种值的相关性以及直接来自多性状REML的遗传相关性的估计，获得了遗传相关性的估计。REML测定的遗传相关性很高（0.86 +/- 0.026），表明早期后代生长是后期后代生长的良好预测因子，基因型与环境相互作用（G x E）的幅度很低。多性状EBV（0.84 +/- 0.048）估计的遗传相关性与REML估计值无显著差异。两者均与单性状EBV估计的遗传相关性（0.60 +/- 0.049）显著不同，表明单性状估计值有限。有趣的是，条件因子与所有性状集的长度或重量之间的遗传相关显著不同，表明条件因子是一种遗传独立于长度和重量的性状。(C)2000 Elsevier Science B. V.保留所有权利。
Genetic correlations between three character sets (early progeny growth; later progeny growth at 8.5 degreesC; later progeny growth at 15 degreesC) were determined from within the scope of a working commercial rainbow trout (Oncorhynchus mykiss) aquaculture facility. Micrasatellite multiplex genotyping systems were used to resolve the molecular pedigrees for groups of progeny with high accuracy (91-95%). The heritability estimates obtained from restricted maximum likelihood (REML) were higher than expected, ranging from 0.360 to 0.719 for the growth traits total length, weight and condition factor. Estimates of genetic correlations were obtained through correlation of single trait estimated breeding values (EBV), correlation of multiple trait EBV, and by estimates of genetic correlations coming directly from multiple trait REML. REML determined genetic correlations were high (0.86 +/- 0.026), indicating that early progeny growth is a good predictor of later progeny growth and that the magnitude of genotype by environment interactions (G x E) is low. Genetic correlations estimated from multiple trait EBV (0.84 +/- 0.048) were not significantly different from the REML estimates. Both were significantly different from the genetic correlations estimated from single trait EBV (0.60 +/- 0.049), suggesting that single trait estimates have limited value. Interestingly, the genetic correlations between condition factor and length or weight of all character sets were significantly different from unity, indicating that condition factor is a trait that is genetically independent of both length and weight. (C) 2000 Elsevier Science B.V. All rights reserved.