International Centre for Plant Breeding Education and Research, School of Plant Biology and The UWA Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.
Genome. 2010 Nov;53(11):992-1001. doi: 10.1139/G10-051.
In this paper multiplicative mixed models have been used for the analysis of multi-environment trial (MET) data for canola oil and grain yield. Information on pedigrees has been included to allow for the modelling of additive and nonadditive genetic effects. The MET data set included a total of 19 trials (synonymous with sites or environments), which were sown across southern Australia in 2007 and 2008. Each trial was designed as a p-rep design using DiGGeR with the default prespecified spatial model. Lines in their first year of testing were unreplicated, whereas there were two or three replications of advanced lines or varieties. Pedigree information on a total of 578 entries was available, and there were 69 entries that had unknown pedigrees. The degree of inbreeding varied from 0 (55 entries) to nearly fully inbred (337 entries). Subsamples of 2 g harvested grain were taken from each plot for determination of seed oil percentage by near infrared reflectance spectroscopy. The MET analysis for both yield and oil modelled genetic effects in different trials using factor analytic models and the residual plot effects for each trial were modelled using spatial techniques. Models in which pedigree information was included provided significantly better fits to both yield and oil data.
本文采用乘法混合模型分析油菜籽含油量和产量的多环境试验 (MET) 数据。包含系谱信息，以模拟加性和非加性遗传效应。该 MET 数据集共包括 19 个试验（同义于地点或环境），于 2007 年和 2008 年在澳大利亚南部播种。每个试验都设计为使用 DiGGeR 进行的 p-rep 设计，默认指定了空间模型。第一年测试的系谱信息是未复制的，而高级系谱或品种则有两个或三个重复。总共可用的系谱信息为 578 个条目，其中有 69 个条目具有未知的系谱。近交程度从 0（55 个条目）到几乎完全近交（337 个条目）不等。从每个试验小区中取出 2 克收获的谷物进行种子油百分比的近红外反射光谱测定。产量和油分的 MET 分析均采用因子分析模型来模拟不同试验中的遗传效应，并用空间技术来模拟每个试验的残差图效应。包含系谱信息的模型对产量和油分数据的拟合效果明显更好。
