Literature DB >> 12732323

From plant genomics to breeding practice.

Michele Morgante1, Francesco Salamini.   

Abstract

New alleles are constantly accumulated during intentional crop selection. The molecular understanding of these alleles has stimulated new genomic approaches to mapping quantitative trait loci (QTL) and haplotype multiplicity of the genes concerned. A limited number of quantitative trait nucleotides responsible for QTL variation have been described, but an acceleration in their rate of discovery is expected with the adoption of linkage disequilibrium and candidate gene strategies for QTL fine mapping and cloning. Additional layers of regulatory variation have been studied that could also contribute to the molecular basis of quantitative genetics of crop traits. Despite this progress, the role of marker-assisted selection in plant breeding will ultimately depend on the genetic model underlying quantitative variation.

Mesh:

Year:  2003        PMID: 12732323     DOI: 10.1016/s0958-1669(03)00028-4

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  40 in total

1.  Haplotype structure at seven barley genes: relevance to gene pool bottlenecks, phylogeny of ear type and site of barley domestication.

Authors:  Benjamin Kilian; Hakan Ozkan; Jochen Kohl; Arndt von Haeseler; Francesca Barale; Oliver Deusch; Andrea Brandolini; Cemal Yucel; William Martin; Francesco Salamini
Journal:  Mol Genet Genomics       Date:  2006-06-07       Impact factor: 3.291

2.  Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content.

Authors:  Pawan Kulwal; Neeraj Kumar; Ajay Kumar; Raj Kumar Gupta; Harindra Singh Balyan; Pushpendra Kumar Gupta
Journal:  Funct Integr Genomics       Date:  2005-02-15       Impact factor: 3.410

3.  Development of a genomic library of near isogenic lines (NILs) in melon (Cucumis melo L.) from the exotic accession PI161375.

Authors:  Iban Eduardo; Pere Arús; Antonio J Monforte
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

4.  Quantitative trait locus (QTL) isogenic recombinant analysis: a method for high-resolution mapping of QTL within a single population.

Authors:  Johan D Peleman; Crispin Wye; Jan Zethof; Anker P Sørensen; Henk Verbakel; Jan van Oeveren; Tom Gerats; Jeroen Rouppe van der Voort
Journal:  Genetics       Date:  2005-08-05       Impact factor: 4.562

5.  A simple linear regression method for quantitative trait loci linkage analysis with censored observations.

Authors:  Carl A Anderson; Allan F McRae; Peter M Visscher
Journal:  Genetics       Date:  2006-04-19       Impact factor: 4.562

6.  Identification of FAD2 and FAD3 genes in Brassica napus genome and development of allele-specific markers for high oleic and low linolenic acid contents.

Authors:  Qingyong Yang; Chuchuan Fan; Zhenhua Guo; Jie Qin; Jianzhong Wu; Qingyuan Li; Tingdong Fu; Yongming Zhou
Journal:  Theor Appl Genet       Date:  2012-04-26       Impact factor: 5.699

7.  Analysis of genome-wide linkage disequilibrium in the highly polyploid sugarcane.

Authors:  Louis-Marie Raboin; Jérôme Pauquet; Mike Butterfield; Angélique D'Hont; Jean-Christophe Glaszmann
Journal:  Theor Appl Genet       Date:  2008-01-15       Impact factor: 5.699

8.  Genetic and genomic approaches to develop rice germplasm for problem soils.

Authors:  Abdelbagi M Ismail; Sigrid Heuer; Michael J Thomson; Matthias Wissuwa
Journal:  Plant Mol Biol       Date:  2007-08-17       Impact factor: 4.076

Review 9.  Molecular plant breeding as the foundation for 21st century crop improvement.

Authors:  Stephen P Moose; Rita H Mumm
Journal:  Plant Physiol       Date:  2008-07       Impact factor: 8.340

10.  Functional mapping in pea, as an aid to the candidate gene selection and for investigating synteny with the model legume Medicago truncatula.

Authors:  G Aubert; J Morin; F Jacquin; K Loridon; M C Quillet; A Petit; C Rameau; I Lejeune-Hénaut; T Huguet; J Burstin
Journal:  Theor Appl Genet       Date:  2006-01-14       Impact factor: 5.699

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