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Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.)
Development of soybean cultivars with high seed yield is a major focus in soybean breeding programs. This study was conducted to identify genetic loci associated with seed yield-related traits in soybean and also to clarify consistency of the detected QTLs with QTLs found by previous researchers. A...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Japanese Society of Breeding
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267302/ https://www.ncbi.nlm.nih.gov/pubmed/25914582 http://dx.doi.org/10.1270/jsbbs.64.282 |
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author | Dargahi, Hamidreza Tanya, Patcharin Somta, Prakit Abe, Jun Srinives, Peerasak |
author_facet | Dargahi, Hamidreza Tanya, Patcharin Somta, Prakit Abe, Jun Srinives, Peerasak |
author_sort | Dargahi, Hamidreza |
collection | PubMed |
description | Development of soybean cultivars with high seed yield is a major focus in soybean breeding programs. This study was conducted to identify genetic loci associated with seed yield-related traits in soybean and also to clarify consistency of the detected QTLs with QTLs found by previous researchers. A population of 135 F(2:3) lines was developed from a cross between a vegetable soybean line (MJ0004-6) and a landrace cultivar from Myanmar (R18500). They were evaluated in the experimental field of Kasetsart University, Kamphaeng Saen, Nakhon Pathom, Thailand in a randomized complete block design with two replications each in 2011 and 2012 growing seasons. The two parents exhibited contrasting characteristics for most of the traits that were mapped. Analysis of variance showed that the main effects of genotype and environment (year) were significant for all studied traits. Genotype by environment interaction was also highly significant for all the traits. The population was genotyped by 149 polymorphic SSR markers and the genetic map consisted of 129 SSR loci which converged into 38 linkage groups covering 1156 cM of soybean genome. There were 10 QTLs significantly associated with seed yield-related traits across two seasons with single QTLs explaining between 5.0% to 21.9% of the phenotypic variation. Three of these QTLs were detected in both years for days to flowering, days to maturity and 100 seed weight. Most of the detected QTLs in our research were consistent with earlier QTLs reported by previous researchers. However, four novel QTLs including SF1, SF2 and SF3 on linkage groups L and N for seed filling period and PN1 on linkage group D1b for pod number were identified in the present study. |
format | Online Article Text |
id | pubmed-4267302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-42673022015-04-24 Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) Dargahi, Hamidreza Tanya, Patcharin Somta, Prakit Abe, Jun Srinives, Peerasak Breed Sci Research Papers Development of soybean cultivars with high seed yield is a major focus in soybean breeding programs. This study was conducted to identify genetic loci associated with seed yield-related traits in soybean and also to clarify consistency of the detected QTLs with QTLs found by previous researchers. A population of 135 F(2:3) lines was developed from a cross between a vegetable soybean line (MJ0004-6) and a landrace cultivar from Myanmar (R18500). They were evaluated in the experimental field of Kasetsart University, Kamphaeng Saen, Nakhon Pathom, Thailand in a randomized complete block design with two replications each in 2011 and 2012 growing seasons. The two parents exhibited contrasting characteristics for most of the traits that were mapped. Analysis of variance showed that the main effects of genotype and environment (year) were significant for all studied traits. Genotype by environment interaction was also highly significant for all the traits. The population was genotyped by 149 polymorphic SSR markers and the genetic map consisted of 129 SSR loci which converged into 38 linkage groups covering 1156 cM of soybean genome. There were 10 QTLs significantly associated with seed yield-related traits across two seasons with single QTLs explaining between 5.0% to 21.9% of the phenotypic variation. Three of these QTLs were detected in both years for days to flowering, days to maturity and 100 seed weight. Most of the detected QTLs in our research were consistent with earlier QTLs reported by previous researchers. However, four novel QTLs including SF1, SF2 and SF3 on linkage groups L and N for seed filling period and PN1 on linkage group D1b for pod number were identified in the present study. Japanese Society of Breeding 2014-12 2014-12-01 /pmc/articles/PMC4267302/ /pubmed/25914582 http://dx.doi.org/10.1270/jsbbs.64.282 Text en Copyright © 2014 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers Dargahi, Hamidreza Tanya, Patcharin Somta, Prakit Abe, Jun Srinives, Peerasak Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title | Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title_full | Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title_fullStr | Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title_full_unstemmed | Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title_short | Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.) |
title_sort | mapping quantitative trait loci for yield-related traits in soybean (glycine max l.) |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267302/ https://www.ncbi.nlm.nih.gov/pubmed/25914582 http://dx.doi.org/10.1270/jsbbs.64.282 |
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