Literature DB >> 23283512

Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.).

A Hamwieh1, M Imtiaz, R S Malhotra.   

Abstract

A recombinant inbred line (RIL) population, comprising 181 lines derived from ILC588 × ILC3279, was evaluated in 10 environments across three locations with different moisture gradients. A drought resistance score (DRS) and three phenology traits-plant height (PLHT), days to flowering (DFLR), and days to maturity (MAT)-were recorded along with seven yield-related traits-grain yield (GY), biological yield (BY), harvest index (HI), the number of pods/3 plants (Pod), percentage of empty pods (%Epod), 100 seed weight (100 sw), and seed number/3 plants (SN). Two RILs (152, 162) showed the best GYs and DRSs under stressed and non-stressed environments. The quantitative trait loci (QTLs) analyses detected 93 significant QTLs (LOD ≥ 2.0) across the genome × environment interactions. The highest phenotypic variation (>24 %) was explained by the QTLDFLR in Terbol-11. Four common possible pleiotropic QTLs on LG3 and LG4 were identified as associated with DFLR, DRS, GY, MAT, HI, SN, and Pod. No significant epistatic interactions were found between these QTLs and the other markers. However, the QTL for DRS was detected as a conserved QTL in three late planting environments. The markers H6C-07 (on LG3) and H5G01 (on LG4) were associated with QTLs for many traits in all environments studied except two. The allele 'A' of marker H6C07 (from the tolerant parent ILC588) explained 80 % of the yield increase under late planting and 29.8 % of that under dry environments. Concentrating on LG3 and LG4 in molecular breeding programs for drought could speed up improvement for these traits.

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Year:  2013        PMID: 23283512     DOI: 10.1007/s00122-012-2034-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  13 in total

1.  Mapping of QTLs governing agronomic and yield traits in chickpea.

Authors:  S J M Gowda; P Radhika; L B Mhase; B M Jamadagni; V S Gupta; N Y Kadoo
Journal:  J Appl Genet       Date:  2010-12-23       Impact factor: 3.240

2.  Detection of two quantitative trait loci for resistance to ascochyta blight in an intra-specific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated with resistance.

Authors:  M Iruela; J Rubio; F Barro; J I Cubero; T Millán; J Gil
Journal:  Theor Appl Genet       Date:  2005-11-17       Impact factor: 5.699

3.  Extraction of DNA from milligram amounts of fresh, herbarium and mummified plant tissues.

Authors:  S O Rogers; A J Bendich
Journal:  Plant Mol Biol       Date:  1985-03       Impact factor: 4.076

4.  Construction of BAC and BIBAC libraries and their applications for generation of SSR markers for genome analysis of chickpea, Cicer arietinum L.

Authors:  J Lichtenzveig; C Scheuring; J Dodge; S Abbo; H-B Zhang
Journal:  Theor Appl Genet       Date:  2004-12-11       Impact factor: 5.699

5.  Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario.

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Journal:  Crop Sci       Date:  2002-01       Impact factor: 2.319

6.  Plant productivity and environment.

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7.  Mapping quantitative trait loci in chickpea associated with time to flowering and resistance to Didymella rabiei the causal agent of Ascochyta blight.

Authors:  Judith Lichtenzveig; David J Bonfil; Hong-Bin Zhang; Dani Shtienberg; Shahal Abbo
Journal:  Theor Appl Genet       Date:  2006-09-22       Impact factor: 5.699

8.  Pathotype-specific genetic factors in chickpea (Cicer arietinum L.) for quantitative resistance to ascochyta blight.

Authors:  Seungho Cho; Weidong Chen; Fred J Muehlbauer
Journal:  Theor Appl Genet       Date:  2004-05-14       Impact factor: 5.699

9.  Advancing the STMS genomic resources for defining new locations on the intraspecific genetic linkage map of chickpea (Cicer arietinum L.).

Authors:  Rashmi Gaur; Niroj K Sethy; Shalu Choudhary; Bhumika Shokeen; Varsha Gupta; Sabhyata Bhatia
Journal:  BMC Genomics       Date:  2011-02-17       Impact factor: 3.969

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Authors:  Neha Gujaria; Ashish Kumar; Preeti Dauthal; Anuja Dubey; Pavana Hiremath; A Bhanu Prakash; Andrew Farmer; Mangla Bhide; Trushar Shah; Pooran M Gaur; Hari D Upadhyaya; Sabhyata Bhatia; Douglas R Cook; Greg D May; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2011-03-08       Impact factor: 5.699

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  14 in total

1.  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.

Authors:  Shefali Gupta; Tapan Kumar; Subodh Verma; Chellapilla Bharadwaj; Sabhyata Bhatia
Journal:  Mol Biol Rep       Date:  2015-10-07       Impact factor: 2.316

2.  Analysis of QTL-allele system conferring drought tolerance at seedling stage in a nested association mapping population of soybean [Glycine max (L.) Merr.] using a novel GWAS procedure.

Authors:  Mueen Alam Khan; Fei Tong; Wubin Wang; Jianbo He; Tuanjie Zhao; Junyi Gai
Journal:  Planta       Date:  2018-07-06       Impact factor: 4.116

3.  Mapping resistance to Phytophthora root rot identifies independent loci from cultivated (Cicer arietinum L.) and wild (Cicer echinospermum P.H. Davis) chickpea.

Authors:  Amritha Amalraj; Julian Taylor; Sean Bithell; Yongle Li; Kevin Moore; Kristy Hobson; Tim Sutton
Journal:  Theor Appl Genet       Date:  2018-12-07       Impact factor: 5.699

4.  Genotyping-by-sequencing based intra-specific genetic map refines a ''QTL-hotspot" region for drought tolerance in chickpea.

Authors:  Deepa Jaganathan; Mahendar Thudi; Sandip Kale; Sarwar Azam; Manish Roorkiwal; Pooran M Gaur; P B Kavi Kishor; Henry Nguyen; Tim Sutton; Rajeev K Varshney
Journal:  Mol Genet Genomics       Date:  2014-10-25       Impact factor: 3.291

5.  Genome wide SNP identification in chickpea for use in development of a high density genetic map and improvement of chickpea reference genome assembly.

Authors:  Amit A Deokar; Larissa Ramsay; Andrew G Sharpe; Marwan Diapari; Anoop Sindhu; Kirstin Bett; Thomas D Warkentin; Bunyamin Tar'an
Journal:  BMC Genomics       Date:  2014-08-23       Impact factor: 3.969

6.  Prioritization of candidate genes in "QTL-hotspot" region for drought tolerance in chickpea (Cicer arietinum L.).

Authors:  Sandip M Kale; Deepa Jaganathan; Pradeep Ruperao; Charles Chen; Ramu Punna; Himabindu Kudapa; Mahendar Thudi; Manish Roorkiwal; Mohan Avsk Katta; Dadakhalandar Doddamani; Vanika Garg; P B Kavi Kishor; Pooran M Gaur; Henry T Nguyen; Jacqueline Batley; David Edwards; Tim Sutton; Rajeev K Varshney
Journal:  Sci Rep       Date:  2015-10-19       Impact factor: 4.379

7.  QTL-seq for rapid identification of candidate genes for 100-seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea.

Authors:  Vikas K Singh; Aamir W Khan; Deepa Jaganathan; Mahendar Thudi; Manish Roorkiwal; Hiroki Takagi; Vanika Garg; Vinay Kumar; Annapurna Chitikineni; Pooran M Gaur; Tim Sutton; Ryohei Terauchi; Rajeev K Varshney
Journal:  Plant Biotechnol J       Date:  2016-05-26       Impact factor: 9.803

8.  Investigating Drought Tolerance in Chickpea Using Genome-Wide Association Mapping and Genomic Selection Based on Whole-Genome Resequencing Data.

Authors:  Yongle Li; Pradeep Ruperao; Jacqueline Batley; David Edwards; Tanveer Khan; Timothy D Colmer; Jiayin Pang; Kadambot H M Siddique; Tim Sutton
Journal:  Front Plant Sci       Date:  2018-02-19       Impact factor: 5.753

9.  High-density linkage map construction and mapping of seed trait QTLs in chickpea (Cicer arietinum L.) using Genotyping-by-Sequencing (GBS).

Authors:  Subodh Verma; Shefali Gupta; Nitesh Bandhiwal; Tapan Kumar; Chellapilla Bharadwaj; Sabhyata Bhatia
Journal:  Sci Rep       Date:  2015-12-03       Impact factor: 4.379

10.  Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea.

Authors:  Alice Kujur; Hari D Upadhyaya; Deepak Bajaj; C L L Gowda; Shivali Sharma; Akhilesh K Tyagi; Swarup K Parida
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

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