Literature DB >> 25614069

The crop QTLome comes of age.

Silvio Salvi1, Roberto Tuberosa2.   

Abstract

Recent progress in genomics and phenomics allows for a more accurate and comprehensive characterization of the Quantitative Trait Loci (QTLs)—hereafter defined 'QTLome' as a whole—that govern the variation targeted in breeding programs. High-density genotyping now provides unambiguous identification of QTL alleles, and for several traits beneficial alleles at major QTLs have already been deployed in marker-assisted breeding. However, the amount of QTLome information is enormous and approaches to distill and translate this information to breeders remain to be refined. Improved QTL meta-analyses, better estimation of QTL effects, improved crop modelling and full sharing of raw QTL data will enable a more effective exploitation of the QTLome.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2015        PMID: 25614069     DOI: 10.1016/j.copbio.2015.01.001

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


  26 in total

Review 1.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

2.  Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia.

Authors:  Brian P Ward; Gina Brown-Guedira; Frederic L Kolb; David A Van Sanford; Priyanka Tyagi; Clay H Sneller; Carl A Griffey
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

3.  Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).

Authors:  Dinesh Kumar Saini; Puja Srivastava; Neeraj Pal; P K Gupta
Journal:  Theor Appl Genet       Date:  2022-01-05       Impact factor: 5.574

4.  Characterization of some bread wheat genotypes using molecular markers for drought tolerance.

Authors:  Özlem Ateş Sönmezoğlu; Begüm Terzi
Journal:  Physiol Mol Biol Plants       Date:  2017-12-16

5.  eQTLs Regulating Transcript Variations Associated with Rapid Internode Elongation in Deepwater Rice.

Authors:  Takeshi Kuroha; Keisuke Nagai; Yusuke Kurokawa; Yoshiaki Nagamura; Miyako Kusano; Hideshi Yasui; Motoyuki Ashikari; Atsushi Fukushima
Journal:  Front Plant Sci       Date:  2017-10-13       Impact factor: 5.753

6.  The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement.

Authors:  Emma Mace; David Innes; Colleen Hunt; Xuemin Wang; Yongfu Tao; Jared Baxter; Michael Hassall; Adrian Hathorn; David Jordan
Journal:  Theor Appl Genet       Date:  2018-10-20       Impact factor: 5.699

Review 7.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04

8.  Ancestral QTL Alleles from Wild Emmer Wheat Improve Drought Resistance and Productivity in Modern Wheat Cultivars.

Authors:  Lianne Merchuk-Ovnat; Vered Barak; Tzion Fahima; Frank Ordon; Gabriel A Lidzbarsky; Tamar Krugman; Yehoshua Saranga
Journal:  Front Plant Sci       Date:  2016-04-15       Impact factor: 5.753

9.  Prioritizing quantitative trait loci for root system architecture in tetraploid wheat.

Authors:  Marco Maccaferri; Walid El-Feki; Ghasemali Nazemi; Silvio Salvi; Maria Angela Canè; Maria Chiara Colalongo; Sandra Stefanelli; Roberto Tuberosa
Journal:  J Exp Bot       Date:  2016-02       Impact factor: 6.992

10.  Two major quantitative trait loci controlling the number of seminal roots in maize co-map with the root developmental genes rtcs and rum1.

Authors:  Silvio Salvi; Silvia Giuliani; Claudia Ricciolini; Nicola Carraro; Marco Maccaferri; Thomas Presterl; Milena Ouzunova; Roberto Tuberosa
Journal:  J Exp Bot       Date:  2016-02       Impact factor: 6.992

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