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首页> 外文期刊>Acta Horticulturae >A novel approach to the presentation of data from processing tomato variety trials.
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A novel approach to the presentation of data from processing tomato variety trials.

机译：一种用于处理番茄品种试验数据的新颖方法。

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摘要

Data from processing tomato variety trials are often presented as a table of means for a number of different measurements. Statistical significance is shown as a least significant difference derived from an analysis of variance. While this format is instructive to those trained in statistical methodology, it often makes no sense to farmers who have little or no knowledge of statistics. Furthermore, confusion often arises because of the volume and complexity of information presented in a table. A novel approach is described that utilizes residual maximum likelihood analysis, pairwise t-tests, an interactive computer program and a gambling analogy. The model allows the user to compare the performance of two cultivars in yield, holding ability, colour, soluble solids, solids yield and pH, and gives odds that a choice made is the correct one. The user is also able to select the relative importance of each parameter as the basis for rating cultivar performance and calculating the related odds. The model reduces the confusion that can arise from a complex table of information, by showing only two cultivars at a time and the odds associated with their comparison. It is envisaged that such a system will help growers, processors and seed companies to select cultivars that warrant further assessment. A simple training exercise to explain some basic statistical principles using a horse racing analogy is also described..
机译：来自加工番茄品种试验的数据通常以表格的形式提供，用于进行多种不同的测量。统计显着性显示为从方差分析得出的最小显着差异。虽然这种格式对受过统计方法论培训的人员具有指导意义，但对几乎不了解统计知识或根本不了解统计信息的农民来说，通常是没有意义的。此外，由于表中信息的数量和复杂性，经常会引起混乱。描述了一种利用残留最大似然分析，成对t检验，交互式计算机程序和赌博类比的新颖方法。该模型允许用户在产量，保持能力，颜色，可溶性固形物，固形物产率和pH值方面比较两种栽培品种的性能，并给出了正确选择的可能性。用户还可以选择每个参数的相对重要性，以此作为评定品种性能和计算相关几率的基础。该模型通过一次仅显示两个品种以及与它们进行比较相关的几率，减少了由于复杂的信息表而引起的混乱。可以设想，这种系统将帮助种植者，加工者和种子公司选择需要进一步评估的品种。还描述了一个简单的训练练习，它使用赛马类比解释一些基本的统计原理。

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