Skip navigation
DSpace logo
  • Home
  • Browse
    • SMD
      & Institutes
    • Browse Items by:
    • Published/ Complete Date
    • Author/ PI/CoPI
    • Title
    • Keyword (Publication)
  • Sign on to:
    • My KRISHI
    • Receive email
      updates
    • Edit Profile
ICAR logo

KRISHI

ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/68729
Title: Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat
Other Titles: Not Available
Authors: Parveen Malik
Jitendra Kumar
Sahadev Singh
Shiveta Sharma
Prabina Kumar Meher
Mukesh Kumar Sharma
Joy Kumar Roy
Pradeep Kumar Sharma
Harindra Singh Balyan
Pushpendra Kumar Gupta
Shailendra Sharma
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Agricultural Statistics Research Institute
Chaudhary Charan Singh University, Meerut 250004, India
NABI, Sector 81, Sahibzada Ajit Singh Nagar, 140306, Punjab, India
Published/ Complete Date: 2021-07-29
Project Code: Not Available
Keywords: Triticum aestivum L.
Agronomic traits
GWAS
MTA
Epistasis
Candidate genes
Publisher: Springer Netherlands
Citation: Malik, P., Kumar, J., Singh, S. et al. Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat. Mol Breeding 41, 46 (2021). https://doi.org/10.1007/s11032-021-01240-1
Series/Report no.: Not Available;
Abstract/Description: A genome-wide association study (GWAS) for 10 yield and yield component traits was conducted using an association panel comprising 225 diverse spring wheat genotypes. The panel was genotyped using 10,904 SNPs and evaluated for three years (2016–2019), which constituted three environments (E1, E2 and E3). Heritability for different traits ranged from 29.21 to 97.69%. Marker-trait associations (MTAs) were identified for each trait using data from each environment separately and also using BLUP values. Four different models were used, which included three single trait models (CMLM, FarmCPU, SUPER) and one multi-trait model (mvLMM). Hundreds of MTAs were obtained using each model, but after Bonferroni correction, only 6 MTAs for 3 traits were available using CMLM, and 21 MTAs for 4 traits were available using FarmCPU; none of the 525 MTAs obtained using SUPER could qualify after Bonferroni correction. Using BLUP, 20 MTAs were available, five of which also figured among MTAs identified for individual environments. Using mvLMM model, after Bonferroni correction, 38 multi-trait MTAs, for 15 different trait combinations were available. Epistatic interactions involving 28 pairs of MTAs were also available for seven of the 10 traits; no epistatic interactions were available for GNPS, PH, and BYPP. As many as 164 putative candidate genes (CGs) were identified using all the 50 MTAs (CMLM, 3; FarmCPU, 9; mvLMM, 6, epistasis, 21 and BLUP, 11 MTAs), which ranged from 20 (CMLM) to 66 (epistasis) CGs. In-silico expression analysis of CGs was also conducted in different tissues at different developmental stages. The information generated through the present study proved useful for developing a better understanding of the genetics of each of the 10 traits; the study also provided novel markers for marker-assisted selection (MAS) to be utilized for the development of wheat cultivars with improved agronomic traits.
Description: Not Available
ISSN: 1380-3743
Type(s) of content: Article
Sponsors: Not Available
Language: English
Name of Journal: Molecular Breeding
Journal Type: Molecular Breeding is a journal covering the technologies/fields/categories related to Agronomy and Crop Science (Q1); Plant Science (Q1); Biotechnology (Q2); Genetics (Q3); Molecular Biology (Q3)
NAAS Rating: 8.15
Impact Factor: 2.589
Volume No.: 41
Page Number: 46
Name of the Division/Regional Station: Statistical Genetics
Source, DOI or any other URL: https://doi.org/10.1007/s11032-021-01240-1
URI: http://krishi.icar.gov.in/jspui/handle/123456789/68729
Appears in Collections:AEdu-IASRI-Publication

Files in This Item:
File Description SizeFormat 
Malik2021_Article_Single-traitMulti-locusAndMult.pdf1.79 MBAdobe PDFView/Open
Show full item record


Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.

  File Downloads  

Jan 2023: 159851 Dec 2022: 133147 Nov 2022: 119666 Oct 2022: 99600 Sep 2022: 107963 Aug 2022: 102815

Total Download
3649797

(Also includes document to fetched through computer programme by other sites)
( From May 2017 )

ICAR Data Use Licence
Disclaimer
©  2016 All Rights Reserved  • 
Indian Council of Agricultural Research
Krishi Bhavan, Dr. Rajendra Prasad Road, New Delhi-110 001. INDIA

INDEXED BY

KRISHI: Inter Portal Harvester

DOAR
Theme by Logo CINECA Reports

DSpace Software Copyright © 2002-2013  Duraspace - Feedback