Literature DB >> 24880734

Association mapping in crop plants: opportunities and challenges.

Pushpendra K Gupta1, Pawan L Kulwal2, Vandana Jaiswal1.   

Abstract

The research area of association mapping (AM) is currently receiving major attention for genetic studies of quantitative traits in all major crops. However, the level of success and utility of AM achieved for crop improvement is not comparable to that in the area of human health care for diagnosis of complex human diseases. These AM studies in plants, as in humans, became possible due to the availability of DNA-based molecular markers and a variety of sophisticated statistical tools that are evolving on a regular basis. In this chapter, we first briefly review the significance of a variety of populations that are used in AM studies, then briefly describe the molecular markers and high-throughput genotyping strategies, and finally describe the approaches used for AM studies. The major part of the chapter is, however, devoted to analysis of reasons why the results of AM have been underutilized in plant breeding. We also examine the opportunities available and challenges faced while using AM for crop improvement programs. This includes a detailed discussion of the issues that have plagued AM studies, and the solutions that have become available to deal with these issues, so that in future, the results of AM studies may prove increasingly fruitful for crop improvement programs.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Association mapping; Candidate gene; Crop plants; GWAS; Mixed linear model; Population structure; Rare variants

Mesh:

Year:  2014        PMID: 24880734     DOI: 10.1016/B978-0-12-800271-1.00002-0

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  37 in total

1.  Marker-trait association study for protein content in chickpea (Cicer arietinum L.).

Authors:  A A Jadhav; S J Rayate; L B Mhase; M Thudi; A Chitikineni; P N Harer; A S Jadhav; R K Varshney; P L Kulwal
Journal:  J Genet       Date:  2015-06       Impact factor: 1.166

Review 2.  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

3.  Prediction and association mapping of agronomic traits in maize using multiple omic data.

Authors:  Y Xu; C Xu; S Xu
Journal:  Heredity (Edinb)       Date:  2017-06-07       Impact factor: 3.821

Review 4.  Augmentation of crop productivity through interventions of omics technologies in India: challenges and opportunities.

Authors:  Rajesh Kumar Pathak; Mamta Baunthiyal; Dinesh Pandey; Anil Kumar
Journal:  3 Biotech       Date:  2018-10-19       Impact factor: 2.406

5.  GWAS for main effects and epistatic interactions for grain morphology traits in wheat.

Authors:  Parveen Malik; Jitendra Kumar; Shiveta Sharma; Prabina Kumar Meher; Harindra Singh Balyan; Pushpendra Kumar Gupta; Shailendra Sharma
Journal:  Physiol Mol Biol Plants       Date:  2022-03-26

6.  Genome-wide association study of pre-harvest sprouting tolerance using a 90K SNP array in common wheat (Triticum aestivum L.).

Authors:  Yulei Zhu; Shengxing Wang; Wenxin Wei; Hongyong Xie; Kai Liu; Can Zhang; Zengyun Wu; Hao Jiang; Jiajia Cao; Liangxia Zhao; Jie Lu; Haiping Zhang; Cheng Chang; Xianchun Xia; Shihe Xiao; Chuanxi Ma
Journal:  Theor Appl Genet       Date:  2019-07-19       Impact factor: 5.699

7.  Candidate genes and genome-wide association study of grain protein content and protein deviation in durum wheat.

Authors:  D Nigro; A Gadaleta; G Mangini; P Colasuonno; I Marcotuli; A Giancaspro; S L Giove; R Simeone; A Blanco
Journal:  Planta       Date:  2019-01-02       Impact factor: 4.116

8.  Identification of quantitative trait loci associated with resistance to net form net blotch in a collection of Nordic barley germplasm.

Authors:  Ronja Wonneberger; Andrea Ficke; Morten Lillemo
Journal:  Theor Appl Genet       Date:  2017-06-26       Impact factor: 5.699

9.  Association mapping of seed and disease resistance traits in Theobroma cacao L.

Authors:  Lambert A Motilal; Dapeng Zhang; Sue Mischke; Lyndel W Meinhardt; Michel Boccara; Olivier Fouet; Claire Lanaud; Pathmanathan Umaharan
Journal:  Planta       Date:  2016-08-17       Impact factor: 4.116

Review 10.  Genome-wide association study and its applications in the non-model crop Sesamum indicum.

Authors:  Muez Berhe; Komivi Dossa; Jun You; Pape Adama Mboup; Idrissa Navel Diallo; Diaga Diouf; Xiurong Zhang; Linhai Wang
Journal:  BMC Plant Biol       Date:  2021-06-22       Impact factor: 4.215

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