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Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass
Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading date of individual plants can be determined via direct phenotyping, which has...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472636/ https://www.ncbi.nlm.nih.gov/pubmed/28620209 http://dx.doi.org/10.1038/s41598-017-03232-8 |
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author | Byrne, Stephen L. Conaghan, Patrick Barth, Susanne Arojju, Sai Krishna Casler, Michael Michel, Thibauld Velmurugan, Janaki Milbourne, Dan |
author_facet | Byrne, Stephen L. Conaghan, Patrick Barth, Susanne Arojju, Sai Krishna Casler, Michael Michel, Thibauld Velmurugan, Janaki Milbourne, Dan |
author_sort | Byrne, Stephen L. |
collection | PubMed |
description | Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading date of individual plants can be determined via direct phenotyping, which has a time and labour cost. It can also be inferred from family means, although the spread in days to heading within families demands roguing in first generation synthetics. Another option is to predict heading date from molecular markers. In this study we used a large training population consisting of individual plants to develop equations to predict heading date from marker genotypes. Using permutation-based variable selection measures we reduced the marker set from 217,563 to 50 without impacting the predictive ability. Opportunities exist to develop a cheap assay to sequence a small number of regions in linkage disequilibrium with heading date QTL in thousands of samples. Simultaneous use of these markers in non-linkage based marker-assisted selection approaches, such as paternity testing, should enhance the utility of such an approach. |
format | Online Article Text |
id | pubmed-5472636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54726362017-06-21 Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass Byrne, Stephen L. Conaghan, Patrick Barth, Susanne Arojju, Sai Krishna Casler, Michael Michel, Thibauld Velmurugan, Janaki Milbourne, Dan Sci Rep Article Prior knowledge on heading date enables the selection of parents of synthetic cultivars that are well matched with respect to time of heading, which is essential to ensure plants put together will cross pollinate. Heading date of individual plants can be determined via direct phenotyping, which has a time and labour cost. It can also be inferred from family means, although the spread in days to heading within families demands roguing in first generation synthetics. Another option is to predict heading date from molecular markers. In this study we used a large training population consisting of individual plants to develop equations to predict heading date from marker genotypes. Using permutation-based variable selection measures we reduced the marker set from 217,563 to 50 without impacting the predictive ability. Opportunities exist to develop a cheap assay to sequence a small number of regions in linkage disequilibrium with heading date QTL in thousands of samples. Simultaneous use of these markers in non-linkage based marker-assisted selection approaches, such as paternity testing, should enhance the utility of such an approach. Nature Publishing Group UK 2017-06-15 /pmc/articles/PMC5472636/ /pubmed/28620209 http://dx.doi.org/10.1038/s41598-017-03232-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Byrne, Stephen L. Conaghan, Patrick Barth, Susanne Arojju, Sai Krishna Casler, Michael Michel, Thibauld Velmurugan, Janaki Milbourne, Dan Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title | Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title_full | Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title_fullStr | Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title_full_unstemmed | Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title_short | Using variable importance measures to identify a small set of SNPs to predict heading date in perennial ryegrass |
title_sort | using variable importance measures to identify a small set of snps to predict heading date in perennial ryegrass |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472636/ https://www.ncbi.nlm.nih.gov/pubmed/28620209 http://dx.doi.org/10.1038/s41598-017-03232-8 |
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