ArticleJournal of applied genetics2011
Mapping of QTLs governing agronomic and yield traits in chickpea.
Article in Journal of applied genetics, 2011. 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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Who cites it
19 citing papers in PubMed.
- GWAS for QTLs associated with agronomic traits in Chickpea (Cicer arietinum L.) harvested in South-East Kazakhstan.BMC plant biology · 2025Article
- Genetic mapping of QTLs for drought tolerance in chickpea (Frontiers in genetics · 2022Article
- Article
- Identification of stable heat tolerance QTLs using inter-specific recombinant inbred line population derived from GPF 2 and ILWC 292.PloS one · 2021Article
- Mapping QTLs of flag leaf morphological and physiological traits related to aluminum tolerance in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2019Article
- Epistatic interactions of major effect drought QTLs with genetic background loci determine grain yield of rice under drought stress.Scientific reports · 2019Article
- Molecular Mapping of QTLs for Heat Tolerance in Chickpea.International journal of molecular sciences · 2018Article
- QTL-seq for rapid identification of candidate genes for 100-seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea.Plant biotechnology journal · 2016Article
- Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea.Scientific reports · 2016Article
- Development of molecular map and identification of QTLs linked to Fusarium wilt resistance in chickpea.Journal of genetics · 2015Article
- A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea.Plant molecular biology · 2015Article
- Development of gene-based markers for use in construction of the chickpea (Cicer arietinum L.) genetic linkage map and identification of QTLs associated with seed weight and plant height.Molecular biology reports · 2015Article
- Genome-wide insertion-deletion (InDel) marker discovery and genotyping for genomics-assisted breeding applications in chickpea.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015Article
- Genome-wide high-throughput SNP discovery and genotyping for understanding natural (functional) allelic diversity and domestication patterns in wild chickpea.Scientific reports · 2015Article
- Marker-trait association study for protein content in chickpea (Cicer arietinum L.).Journal of genetics · 2015Article
- A combinatorial approach of comprehensive QTL-based comparative genome mapping and transcript profiling identified a seed weight-regulating candidate gene in chickpea.Scientific reports · 2015Article
- An integrated genomic approach for rapid delineation of candidate genes regulating agro-morphological traits in chickpea.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014Article
- Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect.Genetics and molecular biology · 2013Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Chickpea is one of the most important leguminous cool season food crops, cultivated prevalently in South Asia and Middle East. The main objective of this study was to identify quantitative trait loci (QTLs) associated with seven agronomic and yield traits in two recombinant inbred line populations of chickpea derived from the crosses JG62 × Vijay (JV population) and Vijay × ICC4958 (VI population) from at least three environments. Single locus QTL analysis involved composite interval mapping (CIM) for individual traits and multiple-trait composite interval mapping (MCIM) for correlated traits to detect pleiotropic QTLs. Two-locus analysis was conducted to identify the main effect QTLs (M-QTLs), epistatic QTLs (E-QTLs) and QTL × environment interactions. Through CIM analysis, a total of 106 significant QTLs (41 in JV and 65 in VI populations) were identified for the seven traits, of which one QTL each for plant height and days to maturity was common in both the populations. Six pleiotropic QTLs that were consistent over the environments were also identified. LG2 in JV and LG1a in VI contained at least one QTL for each trait. Hence, concentrating on these LGs in molecular breeding programs is most likely to bring simultaneous improvement in these traits.
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