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首页> 外文期刊>Journal American Pomological Society >Graphical Analysis of Rootstock x Site Interaction for Two NC-140 Multi-Location Apple Rootstock Trials Using GGEbiplot
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Graphical Analysis of Rootstock x Site Interaction for Two NC-140 Multi-Location Apple Rootstock Trials Using GGEbiplot

机译:使用GGEBiplot的rootock X网站交互的图解分析

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Genotype x environment interaction can alter the performance of genotypes across environments and the rootstock x site interaction is usually significant for multi-location rootstock trials. Analysis of variance is used to test the hypothesis that there is no interaction, but when the interaction is significant, it provides no information about the nature of the interaction. Biplot methodology was developed for graphical analysis of genotype x environment data and displays the genotype main effect (G) and genotype x environment interaction (GE) of a genotype-by-environment data set, where the environment (E) main effects are removed and the G main effect and the GE are retained and combined. Biplot analysis was used to graphically evaluate rootstockx site interaction using data from the 1994 and 2003 NC-140 apple rootstock trials. Data for cumulative yield from the 1994 trial was used to demonstrate some different biplots and the types of information that can be obtained with GGEbiplot software. Differences in rootstock vigor were more apparent at high-vigor sites than at low-vigor sites. Therefore, for future rootstock trials attempts should be made to include sites with a range of vigor, rather than sites with geographical diversity. For trunkcross-sectional area, cumulative yield and cumulative yield efficiency, M.9 NAKBT337 was one of the most stable rootstocks and was less sensitive to site conditions than most other rootstocks. In general, M.26 and the Geneva rootstocks (G.16, G.41 and G.935) were less stable and responded to site conditions more than M.9 NAKBT337 and B.9.
机译:基因型X环境相互作用可以改变跨环境的基因型的性能,rootstock X站点交互通常对于多位置砧木试验通常很重要。方差分析用于测试没有相互作用的假设,但是当交互显着时,它不提供关于交互性质的信息。为基因型X环境数据的图解分析开发了双批次方法,并显示基因型的基因型主要效果(G)和基因型X环境相互作用(GE),其中环境(e)的主要效果保留并组合G主要效果和GE。使用1994和2003年NC-140苹果砧木试验的数据来使用Biplot分析来评估rootstockx位点交互。 1994年试验中的累积产量数据用于展示一些不同的双针和可以用GGEBiplot软件获得的信息类型。在低活力位点,砧木活力的差异比低活力位点更加明显。因此,对于未来的砧木试验,应该尝试包括具有各种活力的网站,而不是具有地理分集的网站。对于TrunkCross截面区域,累积产量和累积产量效率,M.9 NakBt337是最稳定的砧木之一,与大多数其他砧木的场地条件不太敏感。通常,M.26和日内瓦砧木(G.16,G.41和G.935)的稳定性较小,并响应位点状况超过M.9 NakBt337和B.9。

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