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Model selection for quantitative trait locus analysis in polyploids.

ABSTRACT: Over the years, substantial gains have been made in locating regions of agricultural genomes associated with characteristics, diseases, and agroeconomic traits. These gains have relied heavily on the ability to statistically estimate the association between DNA markers and regions of a genome (quantitative trait loci or QTL) related to a particular trait. The majority of these advances have focused on diploid species, even though many important agricultural crops are, in fact, polyploid. The purpose of our work is to initiate an algorithmic approach for model selection and QTL detection in polyploid species. This approach involves the construction of all possible chromosomal configurations (models) that may result in a gamete, model reduction based on estimation of marker dosage from progeny data, and lastly model selection. While simplified for initial explanation, our approach has demonstrated itself to be extendible to many breeding schemes and less restricted settings.

SUBMITTER: Doerge RW

PROVIDER: S-EPMC16651 | biostudies-literature | 2000 Jul

REPOSITORIES: biostudies-literature

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Model selection for quantitative trait locus analysis in polyploids.

Doerge R W RW Craig B A BA

Proceedings of the National Academy of Sciences of the United States of America 20000701 14

Over the years, substantial gains have been made in locating regions of agricultural genomes associated with characteristics, diseases, and agroeconomic traits. These gains have relied heavily on the ability to statistically estimate the association between DNA markers and regions of a genome (quantitative trait loci or QTL) related to a particular trait. The majority of these advances have focused on diploid species, even though many important agricultural crops are, in fact, polyploid. The pur ...[more]

PMID: 10884425

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