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Literature DB >> 22614179

Mapping QTL for agronomic traits in breeding populations.

Abstract

Detection of quantitative trait loci (QTL) in breeding populations offers the advantage that these QTL are of direct relevance for the improvement of crops via knowledge-based breeding. As phenotypic data are routinely generated in breeding programs and the costs for genotyping are constantly decreasing, it is tempting to exploit this information to unravel the genetic architecture underlying important agronomic traits in crops. This review characterizes the germplasm from breeding populations available for QTL detection, provides a classification of the different QTL mapping approaches that are available, and highlights important considerations concerning study design and biometrical models suitable for QTL analysis.

Mesh：

Year: 2012 PMID： 22614179 DOI： 10.1007/s00122-012-1887-6

Source DB: PubMed Journal: Theor Appl Genet ISSN： 0040-5752 Impact factor: 5.699

56 in total

1. Multiple QTL mapping in related plant populations via a pedigree-analysis approach.

Authors: M. Bink; P. Uimari; J. Sillanpää; G. Janss; C. Jansen
Journal: Theor Appl Genet Date: 2002-03-07 Impact factor: 5.699

Review 2. Structure of linkage disequilibrium in plants.

Authors: Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal: Annu Rev Plant Biol Date: 2003 Impact factor: 26.379

3. Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors: G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal: Theor Appl Genet Date: 2006-05-20 Impact factor: 5.699

4. Principal components analysis corrects for stratification in genome-wide association studies.

Authors: Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal: Nat Genet Date: 2006-07-23 Impact factor: 38.330

5. Comparison of biometrical approaches for QTL detection in multiple segregating families.

Authors: Wenxin Liu; Jochen C Reif; Nicolas Ranc; Giovanni Della Porta; Tobias Würschum
Journal: Theor Appl Genet Date: 2012-05-23 Impact factor: 5.699

Review 6. Association mapping: critical considerations shift from genotyping to experimental design.

Authors: Sean Myles; Jason Peiffer; Patrick J Brown; Elhan S Ersoz; Zhiwu Zhang; Denise E Costich; Edward S Buckler
Journal: Plant Cell Date: 2009-08-04 Impact factor: 11.277

Review 7. The genetics of quantitative traits: challenges and prospects.

Authors: Trudy F C Mackay; Eric A Stone; Julien F Ayroles
Journal: Nat Rev Genet Date: 2009-08 Impact factor: 53.242

8. Association mapping in an elite maize breeding population.

Authors: Wenxin Liu; Manje Gowda; Jana Steinhoff; Hans Peter Maurer; Tobias Würschum; Carl Friedrich Horst Longin; Frédéric Cossic; Jochen Christoph Reif
Journal: Theor Appl Genet Date: 2011-06-17 Impact factor: 5.699

9. Power of in silico QTL mapping from phenotypic, pedigree, and marker data in a hybrid breeding program.

Authors: J Yu; M Arbelbide; R Bernardo
Journal: Theor Appl Genet Date: 2005-03-08 Impact factor: 5.699

Review 10. Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors: Patrick C Phillips
Journal: Nat Rev Genet Date: 2008-11 Impact factor: 53.242

74 in total

1. A Mixed Model Approach to Genome-Wide Association Studies for Selection Signatures, with Application to Mice Bred for Voluntary Exercise Behavior.

Authors: Shizhong Xu; Theodore Garland
Journal: Genetics Date: 2017-08-03 Impact factor: 4.562

10. QTL mapping of carrot resistance to leaf blight with connected populations: stability across years and consequences for breeding.

Authors: V Le Clerc; S Marques; A Suel; S Huet; L Hamama; L Voisine; E Auperpin; M Jourdan; L Barrot; R Prieur; M Briard
Journal: Theor Appl Genet Date: 2015-07-08 Impact factor: 5.699

Mapping QTL for agronomic traits in breeding populations.

1. Multiple QTL mapping in related plant populations via a pedigree-analysis approach.

Review 2. Structure of linkage disequilibrium in plants.

3. Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

4. Principal components analysis corrects for stratification in genome-wide association studies.

5. Comparison of biometrical approaches for QTL detection in multiple segregating families.

Review 6. Association mapping: critical considerations shift from genotyping to experimental design.

Review 7. The genetics of quantitative traits: challenges and prospects.

8. Association mapping in an elite maize breeding population.

9. Power of in silico QTL mapping from phenotypic, pedigree, and marker data in a hybrid breeding program.

Review 10. Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

1. A Mixed Model Approach to Genome-Wide Association Studies for Selection Signatures, with Application to Mice Bred for Voluntary Exercise Behavior.

2. Comparison of biometrical approaches for QTL detection in multiple segregating families.

3. Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat.

4. Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits.

5. High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations.

6. Highly efficient genotyping of rice biparental populations by GoldenGate assays based on parental resequencing.

7. Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack).

8. Evaluation of multi-locus models for genome-wide association studies: a case study in sugar beet.

9. Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

10. QTL mapping of carrot resistance to leaf blight with connected populations: stability across years and consequences for breeding.