QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum

One of the most important agronomic problems in the production of sorghum [Sorghum bicolor (L.) Moench] in humid climates is pre-harvest sprouting (PHS). A molecular linkage map was developed using 112 molecular markers in an F2 mapping population derived from a cross between IS 9530 (high resistanc...

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Publicado: 2000
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00142336_v112_n2_p125_Lijavetzky
http://hdl.handle.net/20.500.12110/paper_00142336_v112_n2_p125_Lijavetzky
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spelling paper:paper_00142336_v112_n2_p125_Lijavetzky2023-06-08T14:36:33Z QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum Dormancy Molecular markers Pre-harvest sprouting QTL mapping Sorghum bicolor Vp1 analysis of variance genetic cross genetic line genetic marker genetic susceptibility genetic trait genetic variance genotype environment interaction harvest linkage group maize molecular mapping phenotype quantitative trait sprouting Sorghum Sorghum bicolor One of the most important agronomic problems in the production of sorghum [Sorghum bicolor (L.) Moench] in humid climates is pre-harvest sprouting (PHS). A molecular linkage map was developed using 112 molecular markers in an F2 mapping population derived from a cross between IS 9530 (high resistance to PHS) and Redland B2 (susceptible to PHS). Two year phenotypic data was obtained. By means of interval mapping analysis, two significant QTL were detected in two different linkage groups with LOD scores of 8.77 and 4.39. Each of these two QTL individually explained approximately 53% of the phenotypic variance, but together, in a two-QTL model, they explained 83% of the phenotypic variance with a LOD score of 12.37. These results were corroborated by a one-way ANOVA in which the four flanking markers of the most likely QTL positions displayed highly significant values in the F-test, and significant variation in trait expression was associated with marker genotypic classes. The four markers with highest effect in the one-way ANOVA were also detected in the second year replication of the F2 population, and significant genotype x environment interactions was observed. The putative relationship between PHS resistance in sorghum and the maize Vp1 gene is also discussed. 2000 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00142336_v112_n2_p125_Lijavetzky http://hdl.handle.net/20.500.12110/paper_00142336_v112_n2_p125_Lijavetzky
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Dormancy
Molecular markers
Pre-harvest sprouting
QTL mapping
Sorghum bicolor
Vp1
analysis of variance
genetic cross
genetic line
genetic marker
genetic susceptibility
genetic trait
genetic variance
genotype environment interaction
harvest
linkage group
maize
molecular mapping
phenotype
quantitative trait
sprouting
Sorghum
Sorghum bicolor
spellingShingle Dormancy
Molecular markers
Pre-harvest sprouting
QTL mapping
Sorghum bicolor
Vp1
analysis of variance
genetic cross
genetic line
genetic marker
genetic susceptibility
genetic trait
genetic variance
genotype environment interaction
harvest
linkage group
maize
molecular mapping
phenotype
quantitative trait
sprouting
Sorghum
Sorghum bicolor
QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
topic_facet Dormancy
Molecular markers
Pre-harvest sprouting
QTL mapping
Sorghum bicolor
Vp1
analysis of variance
genetic cross
genetic line
genetic marker
genetic susceptibility
genetic trait
genetic variance
genotype environment interaction
harvest
linkage group
maize
molecular mapping
phenotype
quantitative trait
sprouting
Sorghum
Sorghum bicolor
description One of the most important agronomic problems in the production of sorghum [Sorghum bicolor (L.) Moench] in humid climates is pre-harvest sprouting (PHS). A molecular linkage map was developed using 112 molecular markers in an F2 mapping population derived from a cross between IS 9530 (high resistance to PHS) and Redland B2 (susceptible to PHS). Two year phenotypic data was obtained. By means of interval mapping analysis, two significant QTL were detected in two different linkage groups with LOD scores of 8.77 and 4.39. Each of these two QTL individually explained approximately 53% of the phenotypic variance, but together, in a two-QTL model, they explained 83% of the phenotypic variance with a LOD score of 12.37. These results were corroborated by a one-way ANOVA in which the four flanking markers of the most likely QTL positions displayed highly significant values in the F-test, and significant variation in trait expression was associated with marker genotypic classes. The four markers with highest effect in the one-way ANOVA were also detected in the second year replication of the F2 population, and significant genotype x environment interactions was observed. The putative relationship between PHS resistance in sorghum and the maize Vp1 gene is also discussed.
title QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
title_short QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
title_full QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
title_fullStr QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
title_full_unstemmed QTL analysis and mapping of pre-harvest sprouting resistance in Sorghum
title_sort qtl analysis and mapping of pre-harvest sprouting resistance in sorghum
publishDate 2000
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00142336_v112_n2_p125_Lijavetzky
http://hdl.handle.net/20.500.12110/paper_00142336_v112_n2_p125_Lijavetzky
_version_ 1768543686399885312