Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).

Publication Overview
TitleConstruction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
AuthorsBarmukh R, Soren KR, Madugula P, Gangwar P, Shanmugavadivel PS, Bharadwaj C, Konda AK, Chaturvedi SK, Bhandari A, Rajain K, Singh NP, Roorkiwal M, Varshney RK
TypeJournal Article
Journal NamePloS one
Volume16
Issue5
Year2021
Page(s)e0251669
CitationBarmukh R, Soren KR, Madugula P, Gangwar P, Shanmugavadivel PS, Bharadwaj C, Konda AK, Chaturvedi SK, Bhandari A, Rajain K, Singh NP, Roorkiwal M, Varshney RK. Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).. PloS one. 2021; 16(5):e0251669.

Abstract

Unravelling the genetic architecture underlying yield components and agronomic traits is important for enhancing crop productivity. Here, a recombinant inbred line (RIL) population, developed from ICC 4958 and DCP 92-3 cross, was used for constructing linkage map and QTL mapping analysis. The RIL population was genotyped using a high-throughput Axiom®CicerSNP array, which enabled the development of a high-density genetic map consisting of 3,818 SNP markers and spanning a distance of 1064.14 cM. Analysis of phenotyping data for yield, yield components and agronomic traits measured across three years together with genetic mapping data led to the identification of 10 major-effect QTLs and six minor-effect QTLs explaining up to 59.70% phenotypic variance. The major-effect QTLs identified for 100-seed weight, and plant height possessed key genes, such as C3HC4 RING finger protein, pentatricopeptide repeat (PPR) protein, sugar transporter, leucine zipper protein and NADH dehydrogenase, amongst others. The gene ontology studies highlighted the role of these genes in regulating seed weight and plant height in crop plants. The identified genomic regions for yield, yield components, and agronomic traits, and the closely linked markers will help advance genetics research and breeding programs in chickpea.

Stocks
This publication contains information about 2 stocks:
Stock NameUniquenameType
DCP 92-3DCP 92-3cultivar
ICC4958/DCP923-F8-RILICC4958/DCP923-F8-RILpopulation
Features
This publication contains information about 61 features:
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Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
Chickpea-Yield-Barmukh-2021
Featuremaps
This publication contains information about 1 maps:
Map Name
Chickpea-ICC4958/DCP923-F8-RIL
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic-eCollection
ISSN1932-6203
eISSN1932-6203
Publication Date2021
Journal AbbreviationPLoS One
DOI10.1371/journal.pone.0251669
Elocation10.1371/journal.pone.0251669
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryUnited States
Cross References
This publication is also available in the following databases:
DatabaseAccession
PMID: PubMedPMID:33989359