More on the efficiency of marker-assisted selection

Hospital, Frederic F.; Moreau, Laurence; Lacoudre, Franck; Charcosset, Alain; Galláis, A.

doi:10.1007/s001220050679

Cited by 193 publications

(160 citation statements)

References 11 publications

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“…However, per-cycle comparisons do not account for time and cost. Genomewide selection and MARS are potentially superior to phenotypic selection because of the greater response per unit time, which justified comparing these breeding methods for a fixed amount of time (Edwards and Johnson, 1994;Hospital et al, 1997;Koebner, 2003, Bernardo andYu 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Significant markers (P = 0.20) on each chromosome were identified by backwards elimination. The significance level of P = 0.20 were used because relaxed significant levels have been found to maximize the response to MARS (Hospital et al 1997;Johnson 2001). Next, multiple regression coefficients were obtained for all the significant markers (Bernardo 2004;.…”

Section: Statistical Procedures In Mars and Genomewide Selectionmentioning

confidence: 99%

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Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations

2008

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Section: Discussionmentioning

confidence: 99%

Section: Statistical Procedures In Mars and Genomewide Selectionmentioning

confidence: 99%

Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations

2008

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“…The percentage of phenotypic variance explained by all QTL identified for a given trait was estimated by the adjusted coefficient of determination (adjusted R 2 ; Hospital et al 1997). The percentage of phenotypic variance explained by an individual QTL was calculated by the normed partial correlation coefficient of determination (npartR 2 ).…”

Section: Qtl Analysismentioning

confidence: 99%

QTL involved in the partial restoration of male fertility of C-type cytoplasmic male sterility in maize

et al. 2011

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Partial restoration of male fertility limits the use of C-type cytoplasmic male sterility (C-CMS) for the production of hybrid seeds in maize. Nevertheless, the genetic basis of the trait is still unknown. Therefore, the aim to this study was to identify genomic regions that govern partial restoration by means of a QTL analysis carried out in an F 2 population (n = 180). This population was derived from the Corn Belt inbred lines B37C and K55. F 2 BC 1 progenies were phenotyped at three locations in Switzerland. Male fertility was rated according to the quality and number of anthers as well as the anthesis-silking interval. A weak effect of environment on the expression of partial restoration was reflected by high heritabilities of all fertility-related traits. Partial restoration was inherited like an oligogenic trait. Three major QTL regions were found consistently across environments in the chromosomal bins 2.09, 3.06 and 7.03. Therefore, a marker-assisted counter-selection of partial restoration is promising. Minor QTL regions were found on chromosomes 3, 4, 5, 6 and 8. A combination of partial restorer alleles at different QTL can lead to full restoration of fertility. The maternal parent was clearly involved in the partial restoration, because the restorer alleles at QTL in bins 2.09, 6.04 and 7.03 originated from B37. The three major QTL regions collocated with other restorer genes of maize, a phenomenon, which seems to be typical for restorer genes. Therefore, a study of the clusters of restorer genes in maize could lead to a better understanding of their evolution and function. In this respect, the long arm of chromosome 2 is particularly interesting, because it harbors restorer genes for the three major CMS systems (C, T and S) of maize.

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“…Comme nous l'avons déjà mentionné, de nombreux paramètres jouent sur la détection de QTL, notamment la taille de la population (qui conditionne fortement la puissance des tests statistiques et la précision des estimations), l'héritabilité du caractère (la puissance de détection diminue quand l'héritabilité est faible) et le seuil de détection utilisé. Des calculs analytiques [23] et des résultats obtenus par simulation [24][25][26] montrent que la prise en compte des aléas de la détection des QTL diminue très fortement l'efficacité relative de la SAM par rapport à la sélection classique. Ce résultat est encore accentué si on considère le coût d'un programme de SAM par rapport au coût d'un programme de sélection conventionnelle.…”

Section: Principe De La Méthode Et Résultats Théoriquesunclassified

“…Ainsi, l'intérêt de la SAM (C ou M) apparaît relativement limité au premier cycle. Des travaux théoriques ont montré qu'il diminuait encore aux cycles suivants et pouvait même s'annuler [25,26]. En effet, au fil des générations, des recombinaisons génétiques peuvent se produire entre les QTL et les marqueurs, ce qui réduit l'intérêt prédictif des marqueurs.…”

Section: Principe De La Méthode Et Résultats Théoriquesunclassified

SELECTION Etude de l’efficacité de la sélection assistée par marqueurs par rapport à la sélection classique

Moreau

Charcosset

Galláis

2001

OCL

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Résumé : Après avoir fait une rapide revue des résultats disponibles à ce jour sur l'utilisation des marqueurs dans les expériences de rétro-croisement, nous nous intéresserons à l'efficacité de la SAM pour la prédiction des valeurs génétiques en nous appuyant notamment sur les résultats préliminaires d'une expérience de SAM en cours à la station de génétique végétale du Moulon. Summary :Marker-assisted selection (MAS) has received extensive attention in the past ten years. Two main strategies of MAS have been proposed: the use of markers to control the introgression of gene or QTL (quantitative trait locus), and the use of markers to predict breeding values in a population under selection. Theoretical and experimental results published on the interest of these two strategies are presented, focusing on the preliminary results of a MAS experiment performed on a maize population. From these results it appears that markers can be very efficient to quickly fix favorable alleles at target genes. Nevertheless, potential interactions between QTL (or genes) and environmental conditions or genetic background can reduce the efficiency of MAS. Further work is needed to optimize the use of markers in selection.

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More on the efficiency of marker-assisted selection

Cited by 193 publications

References 11 publications

Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations

Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations

QTL involved in the partial restoration of male fertility of C-type cytoplasmic male sterility in maize

SELECTION Etude de l’efficacité de la sélection assistée par marqueurs par rapport à la sélection classique

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