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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Mapping of QTLs governing agronomic and yield traits in chickpea
Journal of Applied Genetics, Volume 52, No. 1, Year 2011
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Description
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. © Institute of Plant Genetics, Polish Academy of Sciences, Poznan 2010.
Authors & Co-Authors
Gowda, Manje S.
India, Pune
National Chemical Laboratory India
Germany, Stuttgart
Universität Hohenheim
Gupta, Vidya Shrikant
India, Pune
National Chemical Laboratory India
Kadoo, Narendra Yeshwant
India, Pune
National Chemical Laboratory India
Statistics
Citations: 44
Authors: 3
Affiliations: 3
Identifiers
Doi:
10.1007/s13353-010-0016-y
ISSN:
12341983
Research Areas
Food Security
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative