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Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.)
Stigma and spikelet characteristics play an essential role in hybrid seed production. A mini-core of 90 accessions developed from USDA rice core collection was phenotyped in field grown for nine traits of stigma and spikelet and genotyped with 109 DNA markers, 108 SSRs plus an indel. Three major clu...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Springer Netherlands
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837221/ https://www.ncbi.nlm.nih.gov/pubmed/20234878 http://dx.doi.org/10.1007/s11032-009-9290-y |
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author | Yan, Wen Gui Li, Yong Agrama, Hesham A. Luo, Dagang Gao, Fangyuan Lu, Xianjun Ren, Guangjun |
author_facet | Yan, Wen Gui Li, Yong Agrama, Hesham A. Luo, Dagang Gao, Fangyuan Lu, Xianjun Ren, Guangjun |
author_sort | Yan, Wen Gui |
collection | PubMed |
description | Stigma and spikelet characteristics play an essential role in hybrid seed production. A mini-core of 90 accessions developed from USDA rice core collection was phenotyped in field grown for nine traits of stigma and spikelet and genotyped with 109 DNA markers, 108 SSRs plus an indel. Three major clusters were built upon Rogers’ genetic distance, indicative of indicas, and temperate and tropical japonicas. A mixed linear model combining PC-matrix and K-matrix was adapted for mapping marker-trait associations. Resulting associations were adjusted using false discovery rate technique. We identified 34 marker-trait associations involving 22 SSR markers for eight traits. Four markers were associated with single stigma exsertion (SStgE), six with dual exsertion (DStgE) and five with total exsertion. RM5_Chr1 played major role indicative of high regression with not only DStgE but also SStgE. Four markers were associated with spikelet length, three with width and seven with L/W ratio. Numerous markers were co-associated with multiple traits that were phenotypically correlated, i.e. RM12521_Chr2 associated with all three correlated spikelet traits. The co-association should improve breeding efficiency because single marker could be used to assist breeding for multiple traits. Indica entry 1032 (cultivar 50638) and japonica entry 671 (cultivar Linia 84 Icar) with 80.65 and 75.17% of TStgE, respectively are recommended to breeder for improving stigma exsertion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-009-9290-y) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2837221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-28372212010-03-15 Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) Yan, Wen Gui Li, Yong Agrama, Hesham A. Luo, Dagang Gao, Fangyuan Lu, Xianjun Ren, Guangjun Mol Breed Article Stigma and spikelet characteristics play an essential role in hybrid seed production. A mini-core of 90 accessions developed from USDA rice core collection was phenotyped in field grown for nine traits of stigma and spikelet and genotyped with 109 DNA markers, 108 SSRs plus an indel. Three major clusters were built upon Rogers’ genetic distance, indicative of indicas, and temperate and tropical japonicas. A mixed linear model combining PC-matrix and K-matrix was adapted for mapping marker-trait associations. Resulting associations were adjusted using false discovery rate technique. We identified 34 marker-trait associations involving 22 SSR markers for eight traits. Four markers were associated with single stigma exsertion (SStgE), six with dual exsertion (DStgE) and five with total exsertion. RM5_Chr1 played major role indicative of high regression with not only DStgE but also SStgE. Four markers were associated with spikelet length, three with width and seven with L/W ratio. Numerous markers were co-associated with multiple traits that were phenotypically correlated, i.e. RM12521_Chr2 associated with all three correlated spikelet traits. The co-association should improve breeding efficiency because single marker could be used to assist breeding for multiple traits. Indica entry 1032 (cultivar 50638) and japonica entry 671 (cultivar Linia 84 Icar) with 80.65 and 75.17% of TStgE, respectively are recommended to breeder for improving stigma exsertion. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-009-9290-y) contains supplementary material, which is available to authorized users. Springer Netherlands 2009-05-26 2009 /pmc/articles/PMC2837221/ /pubmed/20234878 http://dx.doi.org/10.1007/s11032-009-9290-y Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Yan, Wen Gui Li, Yong Agrama, Hesham A. Luo, Dagang Gao, Fangyuan Lu, Xianjun Ren, Guangjun Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title | Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title_full | Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title_fullStr | Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title_full_unstemmed | Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title_short | Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.) |
title_sort | association mapping of stigma and spikelet characteristics in rice (oryza sativa l.) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837221/ https://www.ncbi.nlm.nih.gov/pubmed/20234878 http://dx.doi.org/10.1007/s11032-009-9290-y |
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