Evidence map›Paper›PMID 24431509›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2013

Molecular mapping of genomic regions harbouring QTLs for root and yield traits in sorghum (Sorghum bicolor L. Moench).

Rajkumar, B Fakrudin, S P Kavil, Y Girma, S S Arun, D Dadakhalandar, B H Gurusiddesh, A M Patil, M Thudi, S B Bhairappanavar and 4 more

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Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
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  5. Review
  6. Genetic dissection of root architecture in Ethiopian sorghum landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  7. Review
  8. Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
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  17. Article
  18. Fine mapping of qGW1, a major QTL for grain weight in sorghum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  19. Article
4 · The record

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5 · Who and what money

Authors and funding

14 authors.

RajkumarInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
B FakrudinInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
S P KavilInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
Y GirmaSchool of Plant Sciences and NRMES, Haramaya University, Alemaya City, Ethiopia.
S S ArunBioinformatics Core, Purdue University, West Lafayette, IN 47907 USA.
D DadakhalandarInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
B H GurusiddeshInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
A M PatilInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
M ThudiInternational Crop Research Institute for Semi-Arid Tropics, Patancheru, Hyderabad, India.
S B BhairappanavarInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
Y D NarayanaAll India Coordinated Sorghum Improvement Programme, Main Agricultural Research Station, Dharwad, India.
P U KrishnarajInstitute of Agri-Biotechnology, University of Agricultural Sciences, Dharwad, Dharwad, 580 005 Karnataka India.
B M KhadiUniversity of Agricultural Sciences, Dharwad, Dharwad, India.
M Y KamatarAll India Coordinated Sorghum Improvement Programme, Main Agricultural Research Station, Dharwad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root system is a vital part of plants for absorbing soil moisture and nutrients and it influences the drought tolerance. Identification of the genomic regions harbouring quantitative trait loci (QTLs) for root and yield traits, and the linked markers can facilitate sorghum improvement through marker-assisted selection (MAS) besides the deeper understanding of the plant response to drought stress. A population of 184 recombinant inbred lines (RILs), derived from E36-1 × SPV570, along with parents were phenotyped for component traits of yield in field and root traits in an above ground rhizotron. High estimates of heritability and genetic advance for all the root traits and for most of the yield traits, presents high scope for improvement of these traits by simple selection. A linkage map constructed with 104 marker loci comprising 50 EST-SSRs, 34 non-genic nuclear SSRs and 20 SNPs, and QTL analysis was performed using composite interval mapping (CIM) approach. A total of eight and 20 QTLs were mapped for root and yield related traits respectively. The QTLs for root volume, root fresh weight and root dry weight were found co-localized on SBI-04, supported by a positive correlation among these traits. Hence, these traits can be improved using the same linked markers. The lack of overlap between the QTLs of component traits of root and yield suggested that these two sets of parameters are independent in their influence and the possibility of combining these two traits might enhance productivity of sorghum under receding moisture condition.

Indexed as

Linkage mapQTLs mappingRoot traitsSorghumVariability and correlation analysis

Identifiers

PMID24431509
PMCPMC3715642

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.