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Classification and Regression Models for Genomic Selection of Skewed Phenotypes: A Case for Disease Resistance in Winter Wheat ( <i>Triticum aestivum</i> L.)

2021-12-17

Abstract excerpt

Most genomic prediction models are linear regression models that assume continuous and normally distributed phenotypes, but responses to diseases such as stripe rust (caused by Puccinia striiformis f. sp. tritici) are commonly recorded in ordinal scales and percentages. Disease severity (SEV) and infection type (IT) data in germplasm screening nurseries generally do not follow these assumptions. On this regard, r...

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Literature Corpus work
4cdfc9c8-804c-5277-82f8-21286fe8e1a7
DOI
10.1101/2021.12.16.472985
Open publication

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Classification and Regression Models for Genomic Selection of Skewed Phenotypes: A Case for Disease Resistance in Winter Wheat ( <i>Triticum aestivum</i> L.)DOI 10.1101/2021.12.16.472985
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