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Plant function and evolutionary biology
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Genomics-assisted breeding for drought tolerance in chickpea

Mahendar Thudi A , Pooran M. Gaur A , Lakshmanan Krishnamurthy A , Reyazul R. Mir A , Himabindu Kudapa A , Asnake Fikre B , Paul Kimurto C , Shailesh Tripathi D , Khela R. Soren E , Richard Mulwa C , Chellapilla Bharadwaj D , Subhojit Datta E , Sushil K. Chaturvedi E and Rajeev K. Varshney A F
+ Author Affiliations
- Author Affiliations

A International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad 502 324, India.

B Ethiopian Institute of Agricultural Research (EIAR), Debre Zeit, PO Box 2003, Ethiopia.

C Egerton University (EU), Egerton 20115, Kenya.

D Indian Agricultural Research Institute (IARI), New Delhi 110 012, India.

E Indian Institute of Pulses Research (IIPR), Kanpur 208 024, India.

F Corresponding author. Email: r.k.varshney@cgiar.org

This paper originates from a presentation at the Interdrought IV Conference, Perth, Australia, 26 September 2013.

Functional Plant Biology 41(11) 1178-1190 https://doi.org/10.1071/FP13318
Submitted: 30 October 2013  Accepted: 23 May 2014   Published: 22 July 2014

Journal Compilation © CSIRO Publishing 2014 Open Access CC BY-NC-ND

Abstract

Terminal drought is one of the major constraints in chickpea (Cicer arietinum L.), causing more than 50% production losses. With the objective of accelerating genetic understanding and crop improvement through genomics-assisted breeding, a draft genome sequence has been assembled for the CDC Frontier variety. In this context, 544.73 Mb of sequence data were assembled, capturing of 73.8% of the genome in scaffolds. In addition, large-scale genomic resources including several thousand simple sequence repeats and several million single nucleotide polymorphisms, high-density diversity array technology (15 360 clones) and Illumina GoldenGate assay genotyping platforms, high-density genetic maps and transcriptome assemblies have been developed. In parallel, by using linkage mapping approach, one genomic region harbouring quantitative trait loci for several drought tolerance traits has been identified and successfully introgressed in three leading chickpea varieties (e.g. JG 11, Chefe, KAK 2) by using a marker-assisted backcrossing approach. A multilocation evaluation of these marker-assisted backcrossing lines provided several lines with 10–24% higher yield than the respective recurrent parents.Modern breeding approaches like marker-assisted recurrent selection and genomic selection are being deployed for enhancing drought tolerance in chickpea. Some novel mapping populations such as multiparent advanced generation intercross and nested association mapping populations are also being developed for trait mapping at higher resolution, as well as for enhancing the genetic base of chickpea. Such advances in genomics and genomics-assisted breeding will accelerate precision and efficiency in breeding for stress tolerance in chickpea.

Additional keywords: backcrossing, Cicer arietinum, genome sequence, quantitative trait loci, yield.


References

Abdallah AA, Ali AM, Geiger HH, Parzies HK (2009) Marker-assisted recurrent selection for increased out crossing in Caudatum–race Sorghum. In ‘Proceedings of the International Conference on Applied Biotechnology’, 28–30 September 2009, Khartoum, Sudan.

Acharjee S, Sarmah BK, Kumar PA, Olsen K, Mahon R, Moar WJ, Moore A, Higgins TJV (2010) Transgenic chickpeas (Cicer arietinum L.) expressing a sequence-modified cry2Aa gene. Plant Science 178, 333–339.
Transgenic chickpeas (Cicer arietinum L.) expressing a sequence-modified cry2Aa gene.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXjtVSntbs%3D&md5=23438c23281f53fcf520a6f281a22b43CAS |

Agarwal G, Jhanwar S, Priya P, Singh VK, Saxena MS, Parida SK, Garg R, Tyagi AK, Jain M (2012) Comparative analysis of kabuli chickpea transcriptome with desi and wild chickpea provides a rich resource for development of functional markers. PLoS ONE 7, e52443
Comparative analysis of kabuli chickpea transcriptome with desi and wild chickpea provides a rich resource for development of functional markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXnsVKhug%3D%3D&md5=a53dc556a94dbd32adb524fcfa995de8CAS | 23300670PubMed |

Anbessa Y, Taran B, Warkentin TD, Tullu A, Vandenberg A (2009) Genetic analyses and conservation of QTL for Ascochyta blight resistance in chickpea. Theoretical and Applied Genetics 119, 757–765.
Genetic analyses and conservation of QTL for Ascochyta blight resistance in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXpsVeisrs%3D&md5=2c987b5f65c3f2c344720f61f2488f15CAS | 19517090PubMed |

Anuradha C, Gaur PM, Pande S, Gali KK, Ganesh M, Kumar J, Varshney RK (2011) Mapping QTL for resistance to Botrytis grey mould in chickpea. Euphytica 182, 1–9.
Mapping QTL for resistance to Botrytis grey mould in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtlCmurzE&md5=91c9baff95135b6b34a5caf962e13869CAS |

Aryamanesh N, Nelson MN, Yan G, Clarke HJ, Siddique KHM (2010) Mapping a major gene for growth habit and QTLs for Ascochyta blight resistance and flowering time in a population between chickpea and Cicer reticulatum. Euphytica 173, 307–319.
Mapping a major gene for growth habit and QTLs for Ascochyta blight resistance and flowering time in a population between chickpea and Cicer reticulatum.Crossref | GoogleScholarGoogle Scholar |

Bandillo N, Raghavan C, Muyco PA, Sevilla MAL, Lobina IT, Dilla-Ermita CJ, Tung C-W, McCouch S, Thomson M, Mauleon R, Singh RK, Gregorio G, Redoña E, Leung H (2013) Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding. Rice 6, 11
Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding.Crossref | GoogleScholarGoogle Scholar | 24280183PubMed |

Benko-Iseppon AM, Winter P, Huettel B, Staginnus C, Muehlbauer FJ, Kahl G (2003) Molecular markers closely linked to Fusarium resistance genes in chickpea show significant alignments to pathogenesis-related genes located on Arabidopsis chromosomes 1 and 5. Theoretical and Applied Genetics 107, 379–386.
Molecular markers closely linked to Fusarium resistance genes in chickpea show significant alignments to pathogenesis-related genes located on Arabidopsis chromosomes 1 and 5.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXlt1Whtbg%3D&md5=2d2511d9ea0f231e91c14cddbd6dcf62CAS | 12709786PubMed |

Bernardo R, Charcosset A (2006) Usefulness of gene information in marker-assisted recurrent selection: a simulation appraisal. Crop Science 46, 614–621.
Usefulness of gene information in marker-assisted recurrent selection: a simulation appraisal.Crossref | GoogleScholarGoogle Scholar |

Bidinger FR, Mahalakshmi V, Rao GDP (1987) Assessment of drought resistance in pearl millet [Pennisetum americanum (L.) Leeke]. II Estimation of genotype response to stress. Australian Journal of Agricultural Research 38, 49–59.
Assessment of drought resistance in pearl millet [Pennisetum americanum (L.) Leeke]. II Estimation of genotype response to stress.Crossref | GoogleScholarGoogle Scholar |

Blum A (2005) Drought resistance, water-use efficiency, and yield potential – are they compatible, dissonant, or mutually exclusive? Australian Journal of Agricultural Research 56, 1159–1168.
Drought resistance, water-use efficiency, and yield potential – are they compatible, dissonant, or mutually exclusive?Crossref | GoogleScholarGoogle Scholar |

Blum A (2006) Drought adaptation in cereal crops: a prologue. In ‘Drought adaptation in cereals’. (Ed. J-M Ribaut) pp. 3–15. (The Haworth Press Inc.: Binghamton, NY)

Blum A (2011) ‘Plant breeding for water-limited environments.’ (Springer: New York)

Buhariwalla HK, Jayashree B, Eshwar K, Crouch JH (2005) Development of ESTs from chickpea roots and their use in diversity analysis of the Cicer genus. BMC Plant Biology 5, 16
Development of ESTs from chickpea roots and their use in diversity analysis of the Cicer genus.Crossref | GoogleScholarGoogle Scholar | 16107212PubMed |

Charmet G, Robert N, Perretant MR, Gay G, Sourdille P, Groos C, Bernard S, Bernard M (2001) Marker assisted recurrent selection for cumulating QTLs for bread-making related traits. Euphytica 119, 89–93.
Marker assisted recurrent selection for cumulating QTLs for bread-making related traits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXlvVemurs%3D&md5=c6accfc14416adb5f284edbcb5af68fdCAS |

Choudhary P, Khanna SM, Jain PK, Bharadwaj C, Kumar J, Lakhera PC, Srinivasan R (2012) Genetic structure and diversity analysis of the primary gene pool of chickpea using SSR markers. Genetics and Molecular Research 11, 891–905.
Genetic structure and diversity analysis of the primary gene pool of chickpea using SSR markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XmsVGitLs%3D&md5=700e86f6106d8677b6d819f5bf0983e6CAS | 22576917PubMed |

Cobb JN, DeClerck G, Greenberg A, Clark R, McCouch S (2013) Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement. Theoretical and Applied Genetics 126, 867–887.
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement.Crossref | GoogleScholarGoogle Scholar | 23471459PubMed |

Cobos MJ, Fernández MJ, Rubio J, Kharrat M, Moreno MT, Gil J, Millán T (2005) A linkage map in chickpea (Cicer arietinum L.) in two populations from kabuli × desi crosses: location of a resistance gene for Fusarium wilt race 0. Theoretical and Applied Genetics 110, 1347–1353.
A linkage map in chickpea (Cicer arietinum L.) in two populations from kabuli × desi crosses: location of a resistance gene for Fusarium wilt race 0.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXjslOrtrY%3D&md5=7b14579fd2a014ec28edd0889ebf6b36CAS | 15806343PubMed |

Croser JS, Ahmad F, Clarke HJ, Siddique KHM (2003) Utilization of wild Cicer in chickpea improvement – progress, constraints and prospects. Australian Journal of Agricultural Research 54, 429–444.
Utilization of wild Cicer in chickpea improvement – progress, constraints and prospects.Crossref | GoogleScholarGoogle Scholar |

Deokar AA, Kondawar V, Jain PK, Karuppayil M, Raju NL, Vadez V, Varshney RK, Srinivasan R (2011) Comparative analysis of expressed sequence tags (ESTs) between drought-tolerant and-susceptible genotypes of chickpea under terminal drought stress. BMC Plant Biology 11, 70
Comparative analysis of expressed sequence tags (ESTs) between drought-tolerant and-susceptible genotypes of chickpea under terminal drought stress.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXlsVamsrc%3D&md5=14864ee091a1c90603e6b218b0df8640CAS | 21513527PubMed |

Eathington SR, Crosbie TM, Edwards MD, Reiter RS, Bull JK (2007) Molecular markers in a commercial breeding program. Crop Science 47, S154–S163.
Molecular markers in a commercial breeding program.Crossref | GoogleScholarGoogle Scholar |

Eggen A (2012) The development and application of genomic selection as a new breeding paradigm. Animal Frontiers 2, 10–15
The development and application of genomic selection as a new breeding paradigm.Crossref | GoogleScholarGoogle Scholar |

FAOSTAT (2012) Final 2012 data now available. (Food and Agriculture Organisation of the United Nations: Rome) Available online at: http://faostat.fao.org/site/567/DextopDEfault.aspx?PageID=567#ancor [Verified 9 June 2014].

Finkel E (2009) With ‘phenomics,’ plant scientists hope to shift breeding into overdrive. Science 325, 380–381.
With ‘phenomics,’ plant scientists hope to shift breeding into overdrive.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXpt1GjtL4%3D&md5=41b86d36ecd35e46790bfd33791584e7CAS | 19628831PubMed |

Garg R, Patel RK, Tyagi AK, Jain M (2011a) De novo assembly of chickpea transcriptome using short reads for gene discovery and marker identification. DNA Research 18, 53–63.
De novo assembly of chickpea transcriptome using short reads for gene discovery and marker identification.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXit1Wgsb4%3D&md5=e639bec0b72130777722a7a7066c1f59CAS | 21217129PubMed |

Garg R, Patel RK, Jhanwar S, Priya P, Bhattacharjee A, Yadav G, Bhatia S, Chattopadhyay D, Tyagi AK, Jain M (2011b) Gene discovery and tissue-specific transcriptome analysis in chickpea with massively parallel pyrosequencing and web resource development. Plant Physiology 156, 1661–1678.
Gene discovery and tissue-specific transcriptome analysis in chickpea with massively parallel pyrosequencing and web resource development.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtVOrur7J&md5=0ffc46610fad2c13616930eb06e7714eCAS | 21653784PubMed |

Gaur PM, Krishnamurthy M, Kashiwagi J (2008) Improving drought-avoidance root traits in chickpea (C. arietinum) – current status of research at ICRISAT. Plant Production Science 11, 3–11.
Improving drought-avoidance root traits in chickpea (C. arietinum) – current status of research at ICRISAT.Crossref | GoogleScholarGoogle Scholar |

Gaur PM, Thudi M, Srinivasan S, Varshney RK (2013) Advances in chickpea genomics. In ‘Legumes in the omic era’. (Eds N Nadarajan and DS Gupta) pp. 73–94. (Springer: New York)

Glaszmann J-C, Kilian G, Upadhyaya HD, Varshney RK (2010) Accessing genetic diversity for crop improvement. Current Opinion in Plant Biology 13, 167–173.
Accessing genetic diversity for crop improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXlsFahs74%3D&md5=cdd5ca2b92b810c9ed3b5a154f2cef86CAS | 20167531PubMed |

Gowda SJM, Radhika P, Kadoo NY, Mhase LB, Gupta VS (2009) Molecular mapping of wilt resistance genes in chickpea. Molecular Breeding 24, 177–183.
Molecular mapping of wilt resistance genes in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtVSisbrE&md5=4b912cfa8ec622aad251b3bc8bfc7e0cCAS |

Gowda SJM, Radzika P, Mhase LB, Jamadagni BM, Gupta VS, Kadro NY (2011) Mapping of QTLs governing agronomic and field traits in chickpea. Journal of Applied Genetics 52, 9–21.
Mapping of QTLs governing agronomic and field traits in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M7jvFSitg%3D%3D&md5=7ebd6c5185053267840d6aedcccdf0dcCAS |

Grenier C, Chatel MH, Ospina Y, Cao T, Guimaraes EP, Martinez CP, Tohme J, Courtois B, Ahmadi N (2012) Population improvement through recurrent selection in rice. Prospects for maker assisted recurrent selection and genome-wide selection. In ‘Plant and animal genome XX conference’, 14–18 January 2014, San Diego. P. W011.

Gujaria N, Kumar A, Dauthal P, Dubey A, Hiremath P, Bhanu Prakash A, Farmer A, Bhide M, Shah T, Gaur PM, Upadhyaya HD, Bhatia S, Cook DR, May GD, Varshney RK (2011) Development and use of genic molecular markers (GMMs) for construction of a transcript map of chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 122, 1577–1589.
Development and use of genic molecular markers (GMMs) for construction of a transcript map of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 21384113PubMed |

Gupta PK, Balyan HS, Gahlaut V, Kulwal P (2012) Phenotyping, genetic dissection, and breeding for drought and heat tolerance in common wheat: status and prospects. Plant Breeding Reviews 36, 85–168.

Hamwieh A, Imtiaz M, Malhotra RS (2013) Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 126, 1025–1038.
Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXkvF2iu7c%3D&md5=d3fdd21de44659bfb099018c55945850CAS | 23283512PubMed |

Hiremath PJ, Farmer A, Cannon SB, Woodward J, Kudapa H, Tuteja R, Kumar A, Prakash B, Mulaosmanovic B, Gujaria N, Krishnamurthy L, Gaur P, KaviKishor PB, Shah T, Srinivasan R, Lohse M, Xiao Y, Town CD, Cook D, May GD, Varshney RK (2011) Large-scale transcriptome analysis in chickpea (Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa. Plant Biotechnology Journal 9, 922–931.
Large-scale transcriptome analysis in chickpea (Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtlemtrnF&md5=321c2f244d61a3de145fbee4f5749390CAS | 21615673PubMed |

Huang BE, George AW, Forrest KL, Kilian A, Hayden MJ, Morell MK, Cavanagh CR (2012) A multi-parent advanced generation inter-cross population for genetic analysis in wheat. Plant Biotechnology Journal 10, 826–839.
A multi-parent advanced generation inter-cross population for genetic analysis in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsVensL7J&md5=5d3ee1c6f7fc3f1cfba4bc7450103564CAS | 22594629PubMed |

Iruela M, Rubio J, Cubero JI, Gil J, Milan T (2002) Phylogenetic analysis in the genus Cicer and cultivated chickpea using RAPD and ISSR markers. Theoretical and Applied Genetics 104, 643–651.
Phylogenetic analysis in the genus Cicer and cultivated chickpea using RAPD and ISSR markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XjtlSqtLs%3D&md5=ae1f34c18a3324f31bed1a62350ca0f8CAS | 12582669PubMed |

Iruela M, Rubio J, Barro F, Cubero JI, Millán T, Gil J (2006) Detection of two QTL for resistance to Ascochyta blight in an intraspecific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated to resistance. Theoretical and Applied Genetics 112, 278–287.
Detection of two QTL for resistance to Ascochyta blight in an intraspecific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated to resistance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtlajsr3I&md5=e92eca5804de758fefb047f70c80a55bCAS | 16328235PubMed |

Iruela M, Castro P, Rubio J, Cubero JI, Jacinto C, Millán T, Gil J (2007) Validation of a QTL for resistance to Ascochyta blight linked to resistance to Fusarium wilt race 5 in chickpea (Cicer arietinum L.). European Journal of Plant Pathology 119, 29–37.
Validation of a QTL for resistance to Ascochyta blight linked to resistance to Fusarium wilt race 5 in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |

Jain D, Chattopadhyay D (2010) Analysis of gene expression in response to water deficit of chickpea (Cicer arietinum L.) varieties differing in drought tolerance. BMC Plant Biology 10, 24
Analysis of gene expression in response to water deficit of chickpea (Cicer arietinum L.) varieties differing in drought tolerance.Crossref | GoogleScholarGoogle Scholar | 20144227PubMed |

Jain M, Misra G, Patel RK, Priya P, Jhanwar S, Khan AW, Shah N, Singh VK, Garg R, Jeena G, Yadav M, Kant C, Sharma P, Yadav G, Bhatia S, Tyagi AK, Chattopadhyay D (2013) A draft genome sequence of the pulse crop chickpea (Cicer arietinum L.). The Plant Journal 74, 715–729.
A draft genome sequence of the pulse crop chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXot1ehu7c%3D&md5=88a9db0195a630a669349dd96e7e6dabCAS | 23489434PubMed |

Johnson R (2004) Marker-assisted selection. Plant Breeding Reviews 24, 293–310.

Jukanti AK, Gaur PM, Gowda CLL, Chibbar RN (2012) Chickpea: nutritional properties and its benefits. The British Journal of Nutrition 108, S11–S26.
Chickpea: nutritional properties and its benefits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xht1GjurbK&md5=0d89d9eb03568aad80a3fe6cbcf4ef6dCAS | 22916806PubMed |

Kahl G, Molina C, Udupa SM (2007) Super SAGE: exploring the stress transcriptome in chickpea. In ‘Plant and animal genome XV conference,’ 13–17 January 2007, San Diego. P. W91.

Kashiwagi J, Krishnamurthy L, Upadhyaya HD, Krishna H, Chandra S, Vadez V, Serraj R (2005) Genetic variability of drought-avoidance root traits in the mini-core germplasm collection of chickpea (Cicer arietinum L.). Euphytica 146, 213–222.
Genetic variability of drought-avoidance root traits in the mini-core germplasm collection of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |

Kashiwagi J, Krishnamurthy L, Crouch JH, Serraj R (2006) Variability of root length density and its contribution to seed yield in chickpea (Cicer arietinum L.) under terminal drought stress. Field Crops Research 95, 171–181.
Variability of root length density and its contribution to seed yield in chickpea (Cicer arietinum L.) under terminal drought stress.Crossref | GoogleScholarGoogle Scholar |

Kaur H, Shukla RK, Yadav G, Chattopadhyay D, Majee M (2008) Two divergent genes encoding l-myo-inositol 1-phosphate synthase1 (CaMIPS1) and 2 (CaMIPS2) are differentially expressed in chickpea. Plant, Cell & Environment 31, 1701–1716.
Two divergent genes encoding l-myo-inositol 1-phosphate synthase1 (CaMIPS1) and 2 (CaMIPS2) are differentially expressed in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtl2hs7zM&md5=fd551c183a03a59961a1b6f7b9147ff7CAS |

Kimurto PK, Mulwa RMS, Towett BK, Cheruiyot EK, Gangarao R, Silim S, Rutto DK, Kirui G, Gaur P, Varshney RK (2013) Screening for drought and pod borer (Helicoverpa armigera) tolerance in selected chickpea (Cicer arietinum L.) germplasm in semi-arid areas of Kenya. Egerton Journal of Science and Technology 9, 23–30.

Knox J, Hess T, Daccache A, Wheeler T (2012) Climate change impacts on crop productivity in Africa and South Asia. Environmental Research Letters 7, 034032
Climate change impacts on crop productivity in Africa and South Asia.Crossref | GoogleScholarGoogle Scholar |

Kottapalli P, Gaur PM, Katiyar SK, Crouch JH, Buhariwalla HK, Pande S, Gali KK (2009) Mapping and validation of QTLs for resistance to an Indian isolate of Ascochyta blight pathogen in chickpea. Euphytica 165, 79–88.
Mapping and validation of QTLs for resistance to an Indian isolate of Ascochyta blight pathogen in chickpea.Crossref | GoogleScholarGoogle Scholar |

Kover PX, Valdar W, Trakalo J, Scarcelli N, Ehrenreich IM, Purugganan MD, Durrant C, Mott R (2009) A multi-parent advanced generation inter-cross to fine map quantitative traits in Arabidopsis thaliana. PLOS Genetics 5, e1000551
A multi-parent advanced generation inter-cross to fine map quantitative traits in Arabidopsis thaliana.Crossref | GoogleScholarGoogle Scholar | 19593375PubMed |

Krishnamurthy L, Johansen C, Sethi SC (1999) Investigation of factors determining genotypic differences in seed yield of non-irrigated and irrigated chickpea using a physiological model of yield determination. Journal Agronomy & Crop Science 183, 9–17.
Investigation of factors determining genotypic differences in seed yield of non-irrigated and irrigated chickpea using a physiological model of yield determination.Crossref | GoogleScholarGoogle Scholar |

Krishnamurthy L, Kashiwagi J, Gaur PM, Upadhyaya HD, Vadez V (2010) Sources of tolerance to terminal drought in the chickpea (Cicer arietinum L.) minicore germplasm. Field Crops Research 119, 322–330.
Sources of tolerance to terminal drought in the chickpea (Cicer arietinum L.) minicore germplasm.Crossref | GoogleScholarGoogle Scholar |

Krishnamurthy L, Kashiwagi J, Tobita S, Ito O, Upadhyaya HD, Gowda CLL, Gaur PM, Sheshshayee M, Singh S, Vadez V, Varshney RK (2013a) Variation in carbon isotope discrimination and its relationship with harvest index in the reference collection of chickpea germplasm. Functional Plant Biology 40, 1350–1361.
Variation in carbon isotope discrimination and its relationship with harvest index in the reference collection of chickpea germplasm.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhslyqt7fP&md5=af249116bbd89621c816c396db1b7b20CAS |

Krishnamurthy L, Kashiwagi J, Upadhyaya HD, Gowda CLL, Gaur PM, Singh S, Purushothaman R, Varshney RK (2013b) Partitioning coefficient – a trait that contributes to drought tolerance in chickpea. Field Crops Research 149, 354–365.
Partitioning coefficient – a trait that contributes to drought tolerance in chickpea.Crossref | GoogleScholarGoogle Scholar |

Kudapa H, Ramalingam A, Nayakoti S, Chen X, Zhuang WJ, Liang X, Kahl G, Edwards D, Varshney RK (2013) Functional genomics to study stress responses in crop legumes: progress and prospects. Functional Plant Biology 40, 1221–1233.
Functional genomics to study stress responses in crop legumes: progress and prospects.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhslyqt7nL&md5=47b76c8925794cee044e366f1ed925abCAS |

Kudapa H, Azam S, Sharpe AG, Taran B, Li R, Deonovic B, Cameron C, Farmer AD, Cannon SB, Varshney RK (2014) Comprehensive transcriptome assembly of chickpea (Cicer arietinum L.) using Sanger and next generation sequencing platforms: development and applications. PLoS ONE 9, e86039
Comprehensive transcriptome assembly of chickpea (Cicer arietinum L.) using Sanger and next generation sequencing platforms: development and applications.Crossref | GoogleScholarGoogle Scholar | 24465857PubMed |

Kujur A, Bajaj D, Saxena MS, Tripathi S, Upadhyaya HD, Gowda CL, Singh S, Jain M, Tyagi AK, Parida SK (2013) Functionally relevant microsatellite markers from chickpea transcription factor genes for efficient genotyping applications and trait association mapping. DNA Research 20, 355–374.
Functionally relevant microsatellite markers from chickpea transcription factor genes for efficient genotyping applications and trait association mapping.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXht1CktrrP&md5=e6c98403edda41980e674be437c8ab80CAS | 23633531PubMed |

Lichtenzveig J, Scheuring C, Dodge J, Abbo S, Zhang HB (2005) Construction of BAC and BIBAC libraries and their applications for generation of SSR markers for genome analysis of chickpea, Cicer arietinum L. Theoretical and Applied Genetics 110, 492–510.
Construction of BAC and BIBAC libraries and their applications for generation of SSR markers for genome analysis of chickpea, Cicer arietinum L.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhsVymsrg%3D&md5=51f3a55fa913144f0a55035585f91e83CAS | 15712010PubMed |

Mantri NL, Ford R, Coram TE, Pang EC (2007) Transcriptional profiling of chickpea genes differentially regulated in response to high-salinity, cold and drought. BMC Genomics 8, 303
Transcriptional profiling of chickpea genes differentially regulated in response to high-salinity, cold and drought.Crossref | GoogleScholarGoogle Scholar | 17764573PubMed |

Matsumura H, Ito A, Saitoh H, Winter P, Kahl G, Reuter M, Kruger DH, Terauchi R (2005) SuperSAGE. Cellular Microbiology 7, 11–18.
SuperSAGE.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXotlWkug%3D%3D&md5=099c12361c38e145c3e85e3ad33dabcfCAS | 15617519PubMed |

Mir RR, Zaman-Allah M, Sreenivasulu N, Trethowan R, Varshney RK (2012) Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops. Theoretical and Applied Genetics 125, 625–645.
Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhtFWhsLjF&md5=ba3df1a528017c4d0cea86012eb957f6CAS | 22696006PubMed |

Molina C, Rotter B, Horres R, Udupa SM, Besser B, Bellarmino L, Baum M, Matsumura H, Terauchi R, Kahl G, Winter P (2008) SuperSAGE: the drought stress-responsive transcriptome of chickpea roots. BMC Genomics 9, 553
SuperSAGE: the drought stress-responsive transcriptome of chickpea roots.Crossref | GoogleScholarGoogle Scholar | 19025623PubMed |

Molina C, Zaman-Allah M, Khan F, Fatnassi N, Horres R, Rotter B, Steinhauer D, Amenc L, Drevon J-J, Winter P, Kahl G (2011) The salt-responsive transcriptome of chickpea roots and nodules via deepSuperSAGE. BMC Plant Biology 11, 31
The salt-responsive transcriptome of chickpea roots and nodules via deepSuperSAGE.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXis1Sgsbk%3D&md5=b5d585a2924af0424289e0a6e5e9ff92CAS | 21320317PubMed |

Monneveux P, Ribaut J-M (2006) Secondary traits for drought tolerance improvement in cereals. In ‘Drought adaptation in cereals’. (Ed. J-M Ribaut) pp. 97–143. (The Haworth Press Inc.: Binghamton, NY)

Nayak SN, Zhu H, Varghese N, Datta S, Choi H-K, Horres R, Jüngling R, Singh J, Kavi Kishor PB, Sivaramakrihnan S, Hoisington DA, Kahl G, Winter P, Cook DR, Varshney RK (2010) Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome. Theoretical and Applied Genetics 120, 1415–1441.
Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXkvVymsb8%3D&md5=e03ac0e9de127555b18ee1faa91ab186CAS | 20098978PubMed |

Nguyen TT, Taylor PWJ, Redden RJ, Ford R (2004) Genetic diversity estimates in Cicer using AFLP analysis. Plant Breeding 123, 173–179.
Genetic diversity estimates in Cicer using AFLP analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXksFGls7Y%3D&md5=935b833cbc74dd3d6d978a8ee7586d18CAS |

Pandey A, Choudhary MK, Bhushan D, Chattopadhyay A, Chakraborty S, Datta A, Chakraborty N (2006) The nuclear proteome of chickpea (Cicer arietinum L.) reveals predicted and unexpected proteins. Journal of Proteome Research 5, 3301–3311.
The nuclear proteome of chickpea (Cicer arietinum L.) reveals predicted and unexpected proteins.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtFert7zI&md5=d84291bcd260514f28006187968ed5a5CAS | 17137331PubMed |

Pandey A, Chakraborty S, Datta A, Chakraborty N (2008) Proteomics approach to identify dehydration responsive nuclear proteins from chickpea (Cicer arietinum L.). Molecular & Cellular Proteomics 7, 88–107.
Proteomics approach to identify dehydration responsive nuclear proteins from chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtFOqurc%3D&md5=9ba380ab8e40a7b5c7585f444749c827CAS |

Passioura JB (2010) Scaling up: the essence of effective agricultural research. Functional Plant Biology 37, 585–591.
Scaling up: the essence of effective agricultural research.Crossref | GoogleScholarGoogle Scholar |

Peng H, Yu X, Cheng H, Shi Q, Zhang H, Li J, Ma H (2010) Cloning and characterization of a novel NAC family gene CarNAC1 from chickpea (Cicer arietinum L.). Molecular Biotechnology 44, 30–40.
Cloning and characterization of a novel NAC family gene CarNAC1 from chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsFOhtLrI&md5=13e0b91ae814e68675e89ab42c0941d4CAS | 19669952PubMed |

Rao L, Usha Rani P, Deshmukh P, Kumar P, Panguluri S (2007) RAPD and ISSR fingerprinting in cultivated chickpea (Cicer arietinum L.) and its wild progenitor Cicer reticulatum Ladizinsky. Genetic Resources and Crop Evolution 54, 1235–1244.
RAPD and ISSR fingerprinting in cultivated chickpea (Cicer arietinum L.) and its wild progenitor Cicer reticulatum Ladizinsky.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtVKks7bK&md5=2999154170526c0e617e9f8c9ea2f651CAS |

Rehman AU, Malhotra RS, Bett K, Tar’an B, Bueckert R, Warkentin TD (2011) Mapping QTL associated with traits affecting grain yield in chickpea (Cicer arietinum L.) under terminal drought stress. Crop Science 51, 450–463.
Mapping QTL associated with traits affecting grain yield in chickpea (Cicer arietinum L.) under terminal drought stress.Crossref | GoogleScholarGoogle Scholar |

Roorkiwal M, Rathore A, Das RR, Singh MK, Srinivasan S, Gaur PM, Bharadwaj C, Tripathi S, Hickey JM, Jannink JL, Varshney RK (2013) Towards deploying genomic selection in chickpea breeding. In ‘Interdrought IV Conference’, Perth, Australia. 2–6 September 2013.

Ruperao P, Chan C-KK, Azam S, Karafiátová M, Hayashi S, Čížková J, Saxena RK, Šimková H, Song C, Vrána J, Chitikineni A, Visendi P, Gaur PM, Millán T, Singh KB, Taran B, Wang J, Batley J, Doležel J, Varshney RK, Edwards D (2014) A chromosomal genomics approach to assess and validate the desi and kabuli draft chickpea genome assemblies. Plant Biotechnology Journal
A chromosomal genomics approach to assess and validate the desi and kabuli draft chickpea genome assemblies.Crossref | GoogleScholarGoogle Scholar | 24702794PubMed |

Sabaghpour SH, Mahmodi AA, Saeed A, Kamel M, Malhotra RS (2006) Study on chickpea drought tolerance lines under dryland condition of Iran. Indian Journal of Crop Science 1, 70–73.

Sabbavarapu MM, Sharma M, Chamarthi SK, Swapna N, Rathore A, Thudi M, Gaur PM, Pande S, Singh S, Kaur L, Varshney RK (2013) Molecular mapping of QTLs for resistance to Fusarium wilt (race 1) and Ascochyta blight in chickpea (Cicer arietinum L.). Euphytica 193, 121–133.
Molecular mapping of QTLs for resistance to Fusarium wilt (race 1) and Ascochyta blight in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |

Saxena NP (2003) Management of drought in chickpea – a holistic approach. In ‘Management of agricultural drought, agronomic and genetic options’. (Ed. NP Saxena) pp. 103–122. (Oxford & IBH Publishing Co. Pvt. Ltd: New Delhi)

Schefers JM, Weigel KA (2012) Genomic selection in dairy cattle: integration of DNA testing into breeding programs. Animal Frontiers 2, 4–9.
Genomic selection in dairy cattle: integration of DNA testing into breeding programs.Crossref | GoogleScholarGoogle Scholar |

Schneider SH, Semenov S, Patwardhan A (2007) Assessing key vulnerabilities and the risk from climate change. In ‘Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change’. (Eds ML Parry, OF Canziani, JP Palutikof, PJ van der Linden, CE Hanson) pp. 779–810. (Cambridge University Press: Cambridge, UK)

Sefera T, Abebie B, Gaur PM, Assefa K, Varshney RK (2011) Characterization and genetic diversity analysis of selected chickpea cultivars of nine countries using simple sequence repeat (SSR) markers. Crop and Pasture Science 62, 177–187.
Characterization and genetic diversity analysis of selected chickpea cultivars of nine countries using simple sequence repeat (SSR) markers.Crossref | GoogleScholarGoogle Scholar |

Sethy NK, Shokeen B, Edwards KJ, Bhatia S (2006) Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 112, 1416–1428.
Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XksFGks7k%3D&md5=294d99f3843cdb3f2d1a1ef5bbcea5a9CAS | 16534564PubMed |

Shukla RK, Tripathi V, Jain D, Yadav RK, Chattopadhyay D (2009) CAP2 enhances germination of transgenic tobacco seeds at high temperature and promotes heat stress tolerance in yeast. The FEBS Journal 276, 5252–5262.
CAP2 enhances germination of transgenic tobacco seeds at high temperature and promotes heat stress tolerance in yeast.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtFChtrbM&md5=3f42bfd73a11b1b5969e16670bb326feCAS | 19674105PubMed |

Sozzani R, Benfey PN (2011) High-throughput phenotyping of multicellular organisms: finding the link between genotype and phenotype. Genome Biology 12, 219
High-throughput phenotyping of multicellular organisms: finding the link between genotype and phenotype.Crossref | GoogleScholarGoogle Scholar | 21457493PubMed |

Sreenivasulu N, Kishor PBK, Varshney RK, Altschmied L (2002) Mining functional information from cereal genomics – the utility of expressed sequence tags. Current Science 83, 965–973.

Thudi M, Bohra A, Nayak SN, Varghese N, Shah TM, Penmetsa RV, Nepolean T, Srivani G, Gaur PM, Kulwal PL, Upadhyaya HD, KaviKishor PB, Winter P, Kahl G, Town CD, Kilian A, Cook DR, Varshney RK (2011) Novel SSR markers from BAC-end sequences, DArT arrays and a comprehensive genetic map with 1,291 marker loci for chickpea (Cicer arietinum L.). PLoS ONE 6, e27275
Novel SSR markers from BAC-end sequences, DArT arrays and a comprehensive genetic map with 1,291 marker loci for chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsFynur%2FI&md5=f13b260fbe8ec4ca1e236d7f47b6a0dfCAS | 22102885PubMed |

Thudi M, Li Y, Jackson SA, May GD, Varshney RK (2012) Current state-of-art of sequencing technologies for plant genomics research. Briefings in Functional Genomics 11, 3–11.
Current state-of-art of sequencing technologies for plant genomics research.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xisl2lsbk%3D&md5=500bd11e7a7eedd62dff5093af4abf44CAS | 22345601PubMed |

Tripathi V, Parasuraman B, Laxmi A, Chattopadhyay D (2009) CIPK6, a CBL-interacting protein kinase is required for development and salt tolerance in plants. The Plant Journal 58, 778–790.
CIPK6, a CBL-interacting protein kinase is required for development and salt tolerance in plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXnsVSqtrg%3D&md5=0e398214a46294aa0be1ea534f4db9c5CAS | 19187042PubMed |

Tuberosa R (2012) Phenotyping for drought tolerance of crops in the genomics era. Frontiers in Physiology 3, 347
Phenotyping for drought tolerance of crops in the genomics era.Crossref | GoogleScholarGoogle Scholar | 23049510PubMed |

Udupa SM, Baum M (2003) Genetic dissection of pathotype-specific resistance to ascochyta blight disease in chickpea (Cicer arietinum L.) using microsatellite markers. Theoretical and Applied Genetics 106, 1196–1202.

Upadhyaya HD, Ortiz R (2001) A mini core subset for capturing diversity and promoting utilization of chickpea genetic resources in crop improvement. Theoretical and Applied Genetics 102, 1292–1298.
A mini core subset for capturing diversity and promoting utilization of chickpea genetic resources in crop improvement.Crossref | GoogleScholarGoogle Scholar |

Upadhyaya HD, Dwivedi SL, Baum M, Varshney RK, Udupa SM, Gowda CLL, Hoisington DA, Singh S (2008) Genetic structure, diversity, and allelic richness in composite collection and reference set in chickpea (Cicer arietinum L.). BMC Plant Biology 8, 106
Genetic structure, diversity, and allelic richness in composite collection and reference set in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 18922189PubMed |

Upadhyaya HD, Thudi M, Dronavalli N, Gujaria N, Singh S, Sharma S, Varshney RK (2011) Genomic tools and germplasm diversity for chickpea improvement. Plant Genetic Resources 9, 45–58.
Genomic tools and germplasm diversity for chickpea improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXislCntLk%3D&md5=893fe47aaf43e5e4c3d9662f98a2d322CAS |

Upadhyaya HD, Kashiwagi J, Varshney RK, Gaur PM, Saxena KB, Krishnamuthy L, Gowda CLL, Pundir RPS, Basu PS, Singh IP (2012) Phenotyping chickpeas and pigeonpea for adaptation to drought. Frontiers in Physiology 3, 179
Phenotyping chickpeas and pigeonpea for adaptation to drought.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38npslWlsQ%3D%3D&md5=269a2eef4ecf1ef51124b5c06c233266CAS | 22675307PubMed |

Vadez V, Krishnamurthy L, Thudi M, Colmer TD, Turner NC, Siddique KHM, Gaur PM, Varshney RK (2012) Assessment of ICCV 2 × JG 62 chickpea progenies shows sensitivity of reproduction to salt stress and reveals QTLs for seed yield and seed number. Molecular Breeding 30, 9–21.
Assessment of ICCV 2 × JG 62 chickpea progenies shows sensitivity of reproduction to salt stress and reveals QTLs for seed yield and seed number.Crossref | GoogleScholarGoogle Scholar |

Valente F, Gauthier F, Bardol N, Blanc G, Joets J, Charcosset A, Moreau L (2013) OptiMAS: a decision support tool for marker-assisted assembly of diverse alleles. The Journal of Heredity 104, 586–590.
OptiMAS: a decision support tool for marker-assisted assembly of diverse alleles.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXpsFCisbo%3D&md5=7ef128ff704e9cedc3ef1eac56d81692CAS | 23576670PubMed |

Varshney RK, Graner A, Sorrells ME (2005) Genomics-assisted breeding for crop improvement. Trends in Plant Science 10, 621–630.
Genomics-assisted breeding for crop improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXht1Oms7%2FJ&md5=79fd20dde1bc669d980d97c520b4781dCAS | 16290213PubMed |

Varshney RK, Hoisington DA, Upadhyaya HD, Gaur PM, Nigam SN, Saxena K, Vadez V, Sethy NK, Bhatia S, Aruna R, Gowda MVC, Singh NK (2007) Molecular genetics and breeding of grain legume crops for the semi-arid tropics. In ‘Genomics-assisted crop improvement. Vol II. Genomics applications in crops’. (Eds RK Varshney, R Tuberosa) pp. 207–242. (Springer: The Netherlands)

Varshney RK, Hiremath PJ, Lekha PT, Kashiwagi J, Balaji J, Deokar AA, Vadez V, Xiao Y, Srinivasan R, Gaur PM, Siddique KHM, Town CD, Hoisington DA (2009a) A comprehensive resource of drought- and salinity-responsive ESTs for gene discovery and marker development in chickpea (Cicer arietinum L.). BMC Genomics 10, 523
A comprehensive resource of drought- and salinity-responsive ESTs for gene discovery and marker development in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 19912666PubMed |

Varshney RK, Nayak SN, May GD, Jackson SA (2009b) Next generation sequencing technologies and their implications for crop genetics and breeding. Trends in Biotechnology 27, 522–530.
Next generation sequencing technologies and their implications for crop genetics and breeding.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtVeitbbE&md5=af4fea38dd2e039e341521760f511de3CAS | 19679362PubMed |

Varshney RK, Glaszmann J-C, Leung H, Ribaut JM (2010a) More genomic resources for less-studied crops. Trends in Biotechnology 28, 452–460.
More genomic resources for less-studied crops.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtVKisr%2FN&md5=afd5cc34feb158a671e530c3ba408c4aCAS | 20692061PubMed |

Varshney RK, Thudi M, May GD, Jackson SA (2010b) Legume genomics and breeding. Plant Breeding Reviews 33, 257–304.

Varshney RK, Kudapa H, Roorkiwal M, Thudi M, Pandey KM, Saxena RK, Chamarthi SK, Murali Mohan S, Mallikarjuna N, Upadhyaya HD, Gaur PM, Krishnamurthy L, Saxena KB, Nigam SN, Pande S (2012a) Advances in genetics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies. Journal of Biosciences 37, 811–820.
Advances in genetics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhslCksrzO&md5=4b525a7e62ea4c686696d0d470f6b0e2CAS | 23107917PubMed |

Varshney RK, Luo M-C, Bhatia S, Tyagi A (2012b) A physical map of chickpea genome. (International Crop Research Institute for the Semiarid Tropics: Patancheru, India). Available online at: http://probes.pw.usda.gov:8080/chickpea/ [Verified 6 June 2014].

Varshney RK, Ribaut J-M, Buckler ES, Tuberosa R, Rafalski JA, Langridge P (2012c) Can genomics boost productivity of orphan crops? Nature Biotechnology 30, 1172–1176.
Can genomics boost productivity of orphan crops?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xhsl2lurjO&md5=cc7d1c07df5ada47ff00ee03011df4f2CAS | 23222781PubMed |

Varshney RK, Gaur PM, Chamarthi SK, Krishnamurthy L, Tripathi S, Kashiwagi J, Samineni S, Singh VK, Thudi M, Jaganathan D (2013a) Fast-track introgression of ‘QTL-hotspot’ for root traits and other drought tolerance traits in JG 11, an elite and leading variety of chickpea. The Plant Genome 6,
Fast-track introgression of ‘QTL-hotspot’ for root traits and other drought tolerance traits in JG 11, an elite and leading variety of chickpea.Crossref | GoogleScholarGoogle Scholar |

Varshney RK, Song C, Saxena RK, Azam S, Yu S, Sharpe A, Cannon S, Baek J, Rosen BD, Tar’an B, Milláan T, Zhang X, Ramsay LD, Iwata A, Wang Y, Nelson W, Farmer AD, Gaur PM, Soderlund C, Penmetsa RV, Xu C, Bharti AK, He W, Winter P, Zhao S, Hane JK, Garcia NC, Condie JA, Upadhyaya HD, Luo MC, Thudi M, Gowda CLL, Singh NP, Lichtenzveig J, Gali KK, Rubio J, Nadarajan N, Dolezel J, Bansal KC, Xu X, Edwards D, Zhang G, Kahl G, Gil J, Singh KB, Datta SK, Jackson SA, Wang J, Cook DR (2013b) Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement. Nature Biotechnology 31, 240–246.
Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhsVymtrY%3D&md5=53a8300621ee0433e826dbdbf93b9565CAS | 23354103PubMed |

Varshney RK, Mir RR, Bhatia S, Thudi M, Hu Y, Azam S, Zhang Y, Jaganathan D, You FM, Gao J, Riera-Lizarazu O, Luo M-C (2014a) Integrated physical, genetic and genome map of chickpea (Cicer arietinum L.). Functional & Integrative Genomics 14, 59–73.
Integrated physical, genetic and genome map of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXjslOntLs%3D&md5=844a6e200e8097da0618a8fabfcf432eCAS |

Varshney RK, Thudi M, Nayak SN, Gaur PM, Kashiwagi J, Krishnamurthy L, Jaganathan D, Koppolu J, Bohra A, Tripathi S, Rathore A, Jukanti AK, Jayalakshmi V, Vemula A, Singh S, Yasin M, Sheshshayee MS, Viswanatha KP (2014b) Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 127, 445–462.
Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvFelurrE&md5=58030c925e3504503b1732d17add5608CAS | 24326458PubMed |

Xu YB, Crouch JH (2008) Marker-assisted selection in plant breeding: from publications to practice. Crop Science 48, 391–407.
Marker-assisted selection in plant breeding: from publications to practice.Crossref | GoogleScholarGoogle Scholar |

Zhao Y, Gowda M, Liu W, Würschum T, Maurer HP, Longin FH, Ranc N, Reif JC (2012) Accuracy of genomic selection in European maize elite breeding populations. Theoretical and Applied Genetics 124, 769–776.
Accuracy of genomic selection in European maize elite breeding populations.Crossref | GoogleScholarGoogle Scholar | 22075809PubMed |