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Genome-Based Identification of Heterotic Patterns in Rice
BACKGROUND: Hybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice. RESULT: The main goal of this study was to evaluate the po...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438337/ https://www.ncbi.nlm.nih.gov/pubmed/28527137 http://dx.doi.org/10.1186/s12284-017-0163-4 |
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author | Beukert, Ulrike Li, Zuo Liu, Guozheng Zhao, Yusheng Ramachandra, Nadhigade Mirdita, Vilson Pita, Fabiano Pillen, Klaus Reif, Jochen Christoph |
author_facet | Beukert, Ulrike Li, Zuo Liu, Guozheng Zhao, Yusheng Ramachandra, Nadhigade Mirdita, Vilson Pita, Fabiano Pillen, Klaus Reif, Jochen Christoph |
author_sort | Beukert, Ulrike |
collection | PubMed |
description | BACKGROUND: Hybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice. RESULT: The main goal of this study was to evaluate the potential and limits to use genomics for establishing heterotic patterns in rice. For this purpose, data of a commercial hybrid rice breeding program targeted to India was analyzed, including 1,960 phenotyped hybrids from three market segments and 262 genotyped parental lines. Our cross-validation study revealed that grain yield of all potential single-crosses can be accurately predicted. Based on the full matrix of hybrid performances, high-yielding heterotic patterns were identified. These heterotic patterns increased grain yield up to 9% compared to the currently employed groups. Heterotic groups of around 14 individuals reflect a good compromise between long-term and short-term selection response. CONCLUSIONS: Our findings clearly underlined the benefits of a genome-based establishment of heterotic patterns in rice as a requirement for a sustainable long-term success of hybrid rice breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-017-0163-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5438337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-54383372017-06-06 Genome-Based Identification of Heterotic Patterns in Rice Beukert, Ulrike Li, Zuo Liu, Guozheng Zhao, Yusheng Ramachandra, Nadhigade Mirdita, Vilson Pita, Fabiano Pillen, Klaus Reif, Jochen Christoph Rice (N Y) Original Article BACKGROUND: Hybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice. RESULT: The main goal of this study was to evaluate the potential and limits to use genomics for establishing heterotic patterns in rice. For this purpose, data of a commercial hybrid rice breeding program targeted to India was analyzed, including 1,960 phenotyped hybrids from three market segments and 262 genotyped parental lines. Our cross-validation study revealed that grain yield of all potential single-crosses can be accurately predicted. Based on the full matrix of hybrid performances, high-yielding heterotic patterns were identified. These heterotic patterns increased grain yield up to 9% compared to the currently employed groups. Heterotic groups of around 14 individuals reflect a good compromise between long-term and short-term selection response. CONCLUSIONS: Our findings clearly underlined the benefits of a genome-based establishment of heterotic patterns in rice as a requirement for a sustainable long-term success of hybrid rice breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-017-0163-4) contains supplementary material, which is available to authorized users. Springer US 2017-05-19 /pmc/articles/PMC5438337/ /pubmed/28527137 http://dx.doi.org/10.1186/s12284-017-0163-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Original Article Beukert, Ulrike Li, Zuo Liu, Guozheng Zhao, Yusheng Ramachandra, Nadhigade Mirdita, Vilson Pita, Fabiano Pillen, Klaus Reif, Jochen Christoph Genome-Based Identification of Heterotic Patterns in Rice |
title | Genome-Based Identification of Heterotic Patterns in Rice |
title_full | Genome-Based Identification of Heterotic Patterns in Rice |
title_fullStr | Genome-Based Identification of Heterotic Patterns in Rice |
title_full_unstemmed | Genome-Based Identification of Heterotic Patterns in Rice |
title_short | Genome-Based Identification of Heterotic Patterns in Rice |
title_sort | genome-based identification of heterotic patterns in rice |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438337/ https://www.ncbi.nlm.nih.gov/pubmed/28527137 http://dx.doi.org/10.1186/s12284-017-0163-4 |
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