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首页> 外文期刊>Acta Horticulturae >Statistical tools to evaluate sensory data for testing fruit quality of Musa.
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Statistical tools to evaluate sensory data for testing fruit quality of Musa.

机译：统计工具用于评估感官数据以测试芭蕉的果实品质。

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摘要

Recent successes in the conventional cross-breeding of plantains and cooking bananas by genetic improvement programmes will inevitably lead to an increase in the number of new clones that require testing before release to farmers. In most cases testing focused on disease resistance and yield but little attention was given to fruit quality. The IITA has developed a procedure for testing the fruit quality of landraces and hybrid Musa genotypes. This fruit quality procedure measures a wide range of characteristics using both objective physical tests and subjective sensory evaluation. The most diverse and difficult datasets to interpret are recorded from sensory analyses. Therefore, a computer programme for data management and statistical analysis wascompiled at IITA. This computer programme enables researchers to access their datasets to make selections based on statistically verified results of fruit quality. This paper describes the programmes developed in Genstat(R) 5-Release 2.2 to analyse thesensory datasets.
机译：通过遗传改良计划在车前草和香蕉的常规杂交中取得的最新成功将不可避免地导致需要进行测试然后再释放给农民的新克隆数量增加。在大多数情况下，测试的重点是抗病性和产量，但对果实品质的关注却很少。 IITA已开发出一种测试地方品种和杂交Musa基因型果实品质的程序。此水果质量程序使用客观的物理测试和主观的感官评估来衡量各种特征。通过感官分析记录了最多样化和最难解释的数据集。因此，IITA编译了用于数据管理和统计分析的计算机程序。该计算机程序使研究人员可以访问他们的数据集，以便根据经过统计验证的水果质量结果进行选择。本文介绍了在Genstat（R）5-Release 2.2中开发的用于分析感测数据集的程序。

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