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  "Title": "A Tool for Phenotypic Data Processing",
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  "Description": "Large-scale phenotypic data processing is essential in\nresearch. Researchers need to eliminate outliers from the data\nin order to obtain true and reliable results. Best linear\nunbiased prediction (BLUP) is a standard method for estimating\nrandom effects of a mixed model. This method can be used to\nprocess phenotypic data under different conditions and is\nwidely used in animal and plant breeding. The 'Phenotype' can\nremove outliers from phenotypic data and performs the best\nlinear unbiased prediction (BLUP), help researchers quickly\ncomplete phenotypic data analysis. H.P.Piepho. (2008)\n<doi:10.1007/s10681-007-9449-8>.",
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  "Encoding": "UTF-8",
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  "Author": "Peng Zhao [aut, cre]",
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