Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali

With 2 figures and 5 tables A population of BC3F4 rice lines derived from a cross of salt‐tolerant Pokkali and sensitive IR29 was developed for validation of the Saltol QTL and comparison of this QTL effect with background QTLs. Specific BC3F4 progenies from the advanced backcross population were fo...

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Main Authors: Alam, Rebjana, Sazzadur Rahman, M., Seraj, Zeba I., Thomson, Michael J., Ismail, Abdelbagi M., Tumimbang-Raiz, Ellen, Gregorio, Glenn B.
Format: Journal Article
Language:Inglés
Published: Wiley 2011
Subjects:
Online Access:https://hdl.handle.net/10568/165927
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author Alam, Rebjana
Sazzadur Rahman, M.
Seraj, Zeba I.
Thomson, Michael J.
Ismail, Abdelbagi M.
Tumimbang-Raiz, Ellen
Gregorio, Glenn B.
author_browse Alam, Rebjana
Gregorio, Glenn B.
Ismail, Abdelbagi M.
Sazzadur Rahman, M.
Seraj, Zeba I.
Thomson, Michael J.
Tumimbang-Raiz, Ellen
author_facet Alam, Rebjana
Sazzadur Rahman, M.
Seraj, Zeba I.
Thomson, Michael J.
Ismail, Abdelbagi M.
Tumimbang-Raiz, Ellen
Gregorio, Glenn B.
author_sort Alam, Rebjana
collection Repository of Agricultural Research Outputs (CGSpace)
description With 2 figures and 5 tables A population of BC3F4 rice lines derived from a cross of salt‐tolerant Pokkali and sensitive IR29 was developed for validation of the Saltol QTL and comparison of this QTL effect with background QTLs. Specific BC3F4 progenies from the advanced backcross population were found to have similar salinity tolerance at the seedling stage even without the Saltol alleles. Therefore, additional QTLs responsible for seedling‐stage salinity tolerance were investigated by screening and genotyping with markers at multiple loci throughout the 12 rice chromosomes. Single marker regression (SMR) using Q‐Gene detected seven QTLs above the threshold logarithm of the odds of 3.0. Single marker analysis using IciMapping detected the same markers linked to the seven QTLs identified by SMR. Likelihood ratio test‐based on stepwise regression (LRT‐RSTEP) analysis using IciMapping, more suitable for BC3F4 introgression lines located six QTLs, of which two were common with SMR and included two significant segments within Saltol. The new non‐Saltol QTLs represent targets for further study to evaluate their usefulness in breeding for higher levels of seedling‐stage salinity tolerance in rice.
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spelling CGSpace1659272025-05-14T10:23:52Z Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali Alam, Rebjana Sazzadur Rahman, M. Seraj, Zeba I. Thomson, Michael J. Ismail, Abdelbagi M. Tumimbang-Raiz, Ellen Gregorio, Glenn B. alleles backcrossing chromosomes genetic markers hydroponics introgression linkage plant breeding progeny quantitative trait loci salinity salt salt tolerance screening seedlings selection criteria simple sequence repeats With 2 figures and 5 tables A population of BC3F4 rice lines derived from a cross of salt‐tolerant Pokkali and sensitive IR29 was developed for validation of the Saltol QTL and comparison of this QTL effect with background QTLs. Specific BC3F4 progenies from the advanced backcross population were found to have similar salinity tolerance at the seedling stage even without the Saltol alleles. Therefore, additional QTLs responsible for seedling‐stage salinity tolerance were investigated by screening and genotyping with markers at multiple loci throughout the 12 rice chromosomes. Single marker regression (SMR) using Q‐Gene detected seven QTLs above the threshold logarithm of the odds of 3.0. Single marker analysis using IciMapping detected the same markers linked to the seven QTLs identified by SMR. Likelihood ratio test‐based on stepwise regression (LRT‐RSTEP) analysis using IciMapping, more suitable for BC3F4 introgression lines located six QTLs, of which two were common with SMR and included two significant segments within Saltol. The new non‐Saltol QTLs represent targets for further study to evaluate their usefulness in breeding for higher levels of seedling‐stage salinity tolerance in rice. 2011-08 2024-12-19T12:55:38Z 2024-12-19T12:55:38Z Journal Article https://hdl.handle.net/10568/165927 en Wiley Alam, Rebjana; Sazzadur Rahman, M.; Seraj, Zeba I.; Thomson, Michael J.; Ismail, Abdelbagi M.; Tumimbang‐Raiz, Ellen and Gregorio, Glenn B. 2011. Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali. Plant Breeding, Volume 130 no. 4 p. 430-437
spellingShingle alleles
backcrossing
chromosomes
genetic markers
hydroponics
introgression
linkage
plant breeding
progeny
quantitative trait loci
salinity
salt
salt tolerance
screening
seedlings
selection criteria
simple sequence repeats
Alam, Rebjana
Sazzadur Rahman, M.
Seraj, Zeba I.
Thomson, Michael J.
Ismail, Abdelbagi M.
Tumimbang-Raiz, Ellen
Gregorio, Glenn B.
Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title_full Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title_fullStr Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title_full_unstemmed Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title_short Investigation of seedling-stage salinity tolerance QTLs using backcross lines derived from Oryza sativa L. Pokkali
title_sort investigation of seedling stage salinity tolerance qtls using backcross lines derived from oryza sativa l pokkali
topic alleles
backcrossing
chromosomes
genetic markers
hydroponics
introgression
linkage
plant breeding
progeny
quantitative trait loci
salinity
salt
salt tolerance
screening
seedlings
selection criteria
simple sequence repeats
url https://hdl.handle.net/10568/165927
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