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Agronomy 2016, 6(4), 51; doi:10.3390/agronomy6040051

Quantitative Trait Loci (QTL) Identification in the Progeny of a Polycross

1
Jouffray-Drillaud La Litière, Saint Sauvant 86600, France
2
GIE GRASS La Litière, Saint Sauvant, 86600 France
3
INRA, UR4, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères, RD150, Le Chêne, CS80006, Lusignan 86600, France
*
Author to whom correspondence should be addressed.
Academic Editors: John W. Forster and Kevin F. Smith
Received: 23 September 2016 / Revised: 18 October 2016 / Accepted: 20 October 2016 / Published: 28 October 2016
View Full-Text   |   Download PDF [1740 KB, uploaded 28 October 2016]   |  

Abstract

Connected multiparental crosses are valuable for detecting quantitative trait loci (QTL) with multiple alleles. The objective of this study was to show that the progeny of a polycross can be considered as connected mutiparental crosses and used for QTL identification. This is particularly relevant in outbreeding species showing strong inbreeding depression and for which synthetic varieties are created. A total of 191 genotypes from a polycross with six parents were phenotyped for plant height (PH) and plant growth rate (PGR) and genotyped with 82 codominant markers. Markers allowed the identification of the male parent for each sibling and so the 191 genotypes were divided into 15 full-sib families. The number of genotypes per full-sib family varied from 2 to 28. A consensus map of 491 cM was built and QTL were detected with MCQTL-software dedicated to QTL detection in connected mapping populations. Two major QTL for PH and PGR in spring were identified on linkage groups 3 and 4. These explained from 12% to 22% of phenotypic variance. The additive effects reached 12.4 mm for PH and 0.11 mm/C°d for PGR. This study shows that the progenies of polycrosses can be used to detect QTL. View Full-Text
Keywords: marker assisted selection; outbreeding species; forage species; connected populations; MCQTL marker assisted selection; outbreeding species; forage species; connected populations; MCQTL
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MDPI and ACS Style

Pauly, L.; Flajoulot, S.; Garon, J.; Julier, B.; Béguier, V.; Barre, P. Quantitative Trait Loci (QTL) Identification in the Progeny of a Polycross. Agronomy 2016, 6, 51.

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