Predicting performance of soybean populations using genetic distances estimated with RAPD markers
In order to verify whether genetic distance (GD) is associated with population mean (PM), genetic variance (GV) and the proportion of superior progenies generated by each cross in advanced generations of selfing (PS), the genetic distances between eight soybean lines (five adapted and three non-adapted) were estimated using 213 polymorphic RAPD markers. The genetic distances were partitioned according to Griffing's Model I Method 4 for diallel analysis, i.e., GDij = GD+ GGDi+ GGDj + SGDij. Phenotypic data were recorded for seed yield and plant height for 25 out of 28 populations of a diallel set derived from the eight soybean lines and evaluated from F2:8 to F2:11 generations. No significant correlation for seed yield was detected between GD and GV, while negative correlations were detected between GD and PM and between GD and PS (r = -0.74** and -0.75**, respectively). Similar results were observed for the correlation between GGDi + GGDj and PM and between GGDi + GGDj and PS (r = -0.78** and -0.80**, respectively). No significant correlation was detected for plant height. The magnitudes of the correlations for seed yield were high enough to allow predictions of the potential of the populations based on RAPD markers.
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Sociedade Brasileira de Genética
2003
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oai:scielo:S1415-475720030003000202003-10-02Predicting performance of soybean populations using genetic distances estimated with RAPD markersBarroso,Paulo Augusto ViannaGeraldi,Isaias OlívioVieira,Maria Lúcia CarneiroPulcinelli,Carlos EduardoVencovsky,RolandDias,Carlos Tadeu dos Santos soybean genetic distance molecular markers RAPD prediction In order to verify whether genetic distance (GD) is associated with population mean (PM), genetic variance (GV) and the proportion of superior progenies generated by each cross in advanced generations of selfing (PS), the genetic distances between eight soybean lines (five adapted and three non-adapted) were estimated using 213 polymorphic RAPD markers. The genetic distances were partitioned according to Griffing's Model I Method 4 for diallel analysis, i.e., GDij = GD+ GGDi+ GGDj + SGDij. Phenotypic data were recorded for seed yield and plant height for 25 out of 28 populations of a diallel set derived from the eight soybean lines and evaluated from F2:8 to F2:11 generations. No significant correlation for seed yield was detected between GD and GV, while negative correlations were detected between GD and PM and between GD and PS (r = -0.74** and -0.75**, respectively). Similar results were observed for the correlation between GGDi + GGDj and PM and between GGDi + GGDj and PS (r = -0.78** and -0.80**, respectively). No significant correlation was detected for plant height. The magnitudes of the correlations for seed yield were high enough to allow predictions of the potential of the populations based on RAPD markers.info:eu-repo/semantics/openAccessSociedade Brasileira de GenéticaGenetics and Molecular Biology v.26 n.3 20032003-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000300020en10.1590/S1415-47572003000300020 |
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Barroso,Paulo Augusto Vianna Geraldi,Isaias Olívio Vieira,Maria Lúcia Carneiro Pulcinelli,Carlos Eduardo Vencovsky,Roland Dias,Carlos Tadeu dos Santos |
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Barroso,Paulo Augusto Vianna Geraldi,Isaias Olívio Vieira,Maria Lúcia Carneiro Pulcinelli,Carlos Eduardo Vencovsky,Roland Dias,Carlos Tadeu dos Santos Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
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Barroso,Paulo Augusto Vianna Geraldi,Isaias Olívio Vieira,Maria Lúcia Carneiro Pulcinelli,Carlos Eduardo Vencovsky,Roland Dias,Carlos Tadeu dos Santos |
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Barroso,Paulo Augusto Vianna |
title |
Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
title_short |
Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
title_full |
Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
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Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
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Predicting performance of soybean populations using genetic distances estimated with RAPD markers |
title_sort |
predicting performance of soybean populations using genetic distances estimated with rapd markers |
description |
In order to verify whether genetic distance (GD) is associated with population mean (PM), genetic variance (GV) and the proportion of superior progenies generated by each cross in advanced generations of selfing (PS), the genetic distances between eight soybean lines (five adapted and three non-adapted) were estimated using 213 polymorphic RAPD markers. The genetic distances were partitioned according to Griffing's Model I Method 4 for diallel analysis, i.e., GDij = GD+ GGDi+ GGDj + SGDij. Phenotypic data were recorded for seed yield and plant height for 25 out of 28 populations of a diallel set derived from the eight soybean lines and evaluated from F2:8 to F2:11 generations. No significant correlation for seed yield was detected between GD and GV, while negative correlations were detected between GD and PM and between GD and PS (r = -0.74** and -0.75**, respectively). Similar results were observed for the correlation between GGDi + GGDj and PM and between GGDi + GGDj and PS (r = -0.78** and -0.80**, respectively). No significant correlation was detected for plant height. The magnitudes of the correlations for seed yield were high enough to allow predictions of the potential of the populations based on RAPD markers. |
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Sociedade Brasileira de Genética |
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2003 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572003000300020 |
work_keys_str_mv |
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