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G × E interactions in QTL introgression lines of Spanish-type groundnut (Arachis hypogaea L.)

Euphytica volume 216, Article number: 85 (2020) Cite this article

Abstract

Multi-environment testing at five locations for rust and late leaf spot (LLS) resistance with 41 introgressed lines (ILs) bred using marker-assisted backcross breeding in the genetic background Spanish-type groundnut varieties identified significant genotype, and genotype × environment interactions (GEI) for LLS disease resistance and yield parameters. Significant GEI effects suggest the need to identify location specific breeding lines to achieve gains in pod yield and LLS resistance. The observed variable LLS disease reaction among the ILs in part suggests influence of background genotype on the level of resistance. A breeding scheme with early generation selection using molecular markers followed by phenotyping for LLS, and multi-location testing of fixed breeding lines was optimized to enhance selection intensity and accuracy in groundnut breeding. The ILs, ICGVs 14431, 14436 and 14438 with pooled LLS score at 90 DAS of 3.5–3.7 were superior to respective recurrent parent for pod yield, with early maturing similar to recurrent parents. The pod yield advantage in ILs is attributed by more number of pods, besides resistance to LLS that contributes to better filling.

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References

  • Alabi RO, Naqvi SH (1977) Production of cellulolytic and pectolytic enzymes by Cercospora arachidicola. Trans Brit Mycol Soc 68(2):296–298

    Google Scholar 

  • Bera SK, Manohar SS, Variath MT, Chaudhari S, Yaduru S, Thankappan R, Narayana M, Kurapati S, Pandey MK, Sudini HK, Shanmugavel S (2018) Assessing variability for disease resistance and nutritional quality traits in an interspecific collection of groundnut (Arachis hypogaea). Plant Breed 137(6):883–894

    CAS  Google Scholar 

  • Chu Y, Wu CL, Holbrook CC, Tillman BL, Person G, Ozias-Akins P (2011) Marker-assisted selection to pyramid nematode resistance and the high oleic trait in peanut. Plant Genome 4(2):110–117

    CAS  Google Scholar 

  • Dabessa A, Alemu B, Abebe Z, Lule D (2016) Genotype by environment interaction and kernel yield stability of groundnut (Arachis hypogaea L.) varieties in Western Oromia, Ethiopia. J Agric Crops 2(11):113–120

    Google Scholar 

  • Dwivedi SL, Crouch JH, Nigam SN, Ferguson ME, Paterson AH (2003) Molecular breeding of groundnut for enhanced productivity and food security in the semi-arid tropics: opportunities and challenges. Adv Agron 80:153–221

    CAS  Google Scholar 

  • FAOSTAT (2016) FAO Statistical Database, http://faostat.fao.org/

  • Farshadfar E, Sutka J (2006) Biplot analysis of genotype-environment interaction in durum wheat using the AMMI model. Acta Agron Hung 54(4):459–467

    Google Scholar 

  • Fávero AP, Moraes SA, Garcia AA, Valls JF, Vello NA (2009) Characterization of rust, early and late leaf spot resistance in wild and cultivated peanut germplasm. Sci Agric 66(1):110–117

    Google Scholar 

  • Gabriel KR (1971) The biplot graphic display of matrices with application to principal component analysis. Biometrika 58(3):453–467

    Google Scholar 

  • Gauch HG (1988) Model selection and validation for yield trials with interaction. Biometrics, 705–715

  • Holbrook CC, Timper P, Culbreath AK, Kvien CK (2008) Registration of ‘Tifguard’ peanut. J Plant Regist 2(2):92–94

    Google Scholar 

  • Islam MR, Anisuzzaman M, Khatun H, Sharma N, Islam Z, Akter A, Parta SB (2014) AMMI analysis of yield performance and stability of rice genotypes across different haor areas. Eco Friend Agril 7(2):20–24

    Google Scholar 

  • Janila P, Pandey MK, Manohar SS, Variath MT, Nallathambi P, Nadaf HL, Sudini H, Varshney RK (2016a) Foliar fungal disease-resistant introgression lines of groundnut (Arachis hypogaea L.) record higher pod and haulm yield in multilocation testing. Plant Breed 135(3):355–366

    Google Scholar 

  • Janila P, Pandey MK, Shasidhar Y, Variath MT, Sriswathi M, Khera P, Manohar SS, Nagesh P, Vishwakarma MK, Mishra GP, Radhakrishnan T (2016b) Molecular breeding for introgression of fatty acid desaturase mutant alleles (ahFAD2A and ahFAD2B) enhances oil quality in high and low oil containing peanut genotypes. Plant Sci J 242:203–213

    CAS  Google Scholar 

  • Kasno A (2015) Genotype-environment interaction analysis of peanut in Indonesia. SABRAO J Breed Genet 47(4):482–492

    Google Scholar 

  • Kaya Y, Akçura M, Taner S (2006) GGE-biplot analysis of multi-environment yield trials in bread wheat. Turk J Agric For 30(5):325–337

    Google Scholar 

  • Khedikar YP, Gowda MV, Sarvamangala C, Patgar KV, Upadhyaya HD, Varshney RK (2010) A QTL study on late leaf spot and rust revealed one major QTL for molecular breeding for rust resistance in groundnut (Arachis hypogaea L.). Theor Appl Genet 121(5):971–984

    CAS  PubMed  PubMed Central  Google Scholar 

  • Leal-Bertioli SC, José AC, Alves-Freitas DM, Moretzsohn MC, Guimarães PM, Nielen S, Vidigal BS, Pereira RW, Pike J, Fávero AP, Parniske M (2009) Identification of candidate genome regions controlling disease resistance in Arachis. BMC Plant Biol 9(1):112

    PubMed  PubMed Central  Google Scholar 

  • Matus-Cadiz MA, Hucl P, Perron CE, Tyler RT (2003) Genotype × environment interaction for grain color in hard white spring wheat. Crop Sci 43(1):219–226

    Google Scholar 

  • Motagi BN (2001) Genetic analyses of resistance to late leaf spot and rust vis-a-vis productivity in groundnut (Arachis hypogaea L.) (Doctoral dissertation, University of Agricultural Sciences; Dharwad)

  • Rono JK, Cheruiyot EK, Othira JO, Njuguna VW, Macharia JK, Owuoche J, Oyier M, Kange AM (2016) Adaptability and stability study of selected sweet sorghum genotypes for ethanol production under different environments using AMMI analysis and GGE biplots. Sci World J ID 4060857

  • Sabaghnia N, Sabaghpour SH, Dehghani H (2008) The use of an AMMI model and its parameters to analyse yield stability in multi-environment trials. J Agric Sci 146(5):571–581

    Google Scholar 

  • Simpson CE, Starr JL, Cunfer BM, Johnson JW, Buntin GD, Barnett RD, Roberts JJ, Morris CF, Konzak CF, Allan RE, Quick JS (2001) Registration of ‘COAN’ peanut. Crop Sci 41(3):933–934

    Google Scholar 

  • Simpson CE, Starr JL, Church GT, Burow MD, Paterson AH (2003) Registration of’NemaTAM’peanut. (Registrations of Cultivars). Crop Sci 43(4):1561–1562

    Google Scholar 

  • Singh AK, Mehan VK, Nigam SN (1997) Sources of resistance to groundnut fungal and bacterial diseases: an update and appraisal. International Crops Research Institute for the Semi-Arid Tropics Hyderabad, p 48

  • Subrahmanyam P, McDonald D, Waliyar F, Reddy LJ, Nigam SN, Gibbons RW, Rao VR, Singh AK, Pande S, Reddy PM, Rao PS (1995) Screening methods and sources of resistance to rust and late leaf spot of groundnut. Information Bulletin No. 47. International Crops Research Institute for the Semi-Arid Tropics Hyderabad, p 24

  • Sujay V, Gowda MV, Pandey MK, Bhat RS, Khedikar YP, Nadaf HL, Gautami B, Sarvamangala C, Lingaraju S, Radhakrishan T, Knapp SJ (2012) Quantitative trait locus analysis and construction of consensus genetic map for foliar disease resistance based on two recombinant inbred line populations in cultivated groundnut (Arachis hypogaea L.). Mol Breed 30(2):773–788

    CAS  Google Scholar 

  • Tashildar CB, Adiver S, Chattannavar SN, Palakshappa MG, Kenchanagaudar PV, Fakrudin B (2012) Morphological and isozyme variations in Puccinia arachidis Speg. causing rust of peanut. Karnataka J Agric Sci 25:340–345

    Google Scholar 

  • Trethowan RM, Van Ginkel M, Ammar K, Crossa J, Payne TS, Cukadar B, Rajaram S, Hernandez E (2003) Associations among twenty years of international bread wheat yield evaluation environments. Crop Sci 43(5):1698–1711

    Google Scholar 

  • Upadhyaya HD, Dwivedi SL, Vadez V, Hamidou F, Singh S, Varshney RK, Liao B (2014) Multiple resistant and nutritionally dense germplasm identified from mini core collection in peanut. Crop Sci 54(2):679–693

    Google Scholar 

  • Waliyar F, Bosc JP, Bonkoungou S (1993) Sources of resistance to foliar diseases of groundnut and their stability in West Africa. Oléagineux (Paris) 48(6):283–287

    Google Scholar 

  • Xu NY, Fok M, Zhang GW, Jian LI, Zhou ZG (2014) The application of GGE biplot analysis for evaluating test locations and mega-environment investigation of cotton regional trials. J Integr Agric 13(9):1921–1933

    Google Scholar 

  • Yan W (2001) GGEbiplot: a windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agron J 93(5):1111–1118

    Google Scholar 

  • Yan W (2002) Singular-value partition for biplot analysis of multienvironment trial data. Agro J 94:990–996. https://doi.org/10.2134/agronj2002.0990

    Google Scholar 

  • Yan W, Kang MS (2002) GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, London

    Google Scholar 

  • Yan W, Tinker NA (2006) Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci 86(3):623–645

    Google Scholar 

  • Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000) Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci 40(3):597–605

    Google Scholar 

  • Yan W, Cornelius PL, Crossa J, Hunt LA (2001) Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci 41(3):656–663

    Google Scholar 

  • Yang RC, Blade SF, Crossa J, Stanton D, Bandara MS (2005) Identifying isoyield environments for field pea production. Crop Sci 45(1):106–113

    Google Scholar 

  • Zhou L, Huo C, Liu J, Liu Z (1980) Studies on peanut rust in Guangdong Province. Acta Phytophyl Sin 7:65–74

    Google Scholar 

Download references

Acknowledgements

Authors would like to acknowledge CGIAR Research Program on Grain Legumes and Dryland Cereals (CRP-GLDC), former CRP-GL for financial assistance to conduct multi-location evaluations. Authors are thankful to Dr. Abhishek Rathore and Ms Roma Das from Bioinformatics Unit, ICRISAT for data analysis support.

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Authors and Affiliations

  1. Indian Council of Agricultural Research-Directorate of Groundnut Research (ICAR-DGR), Junagadh, Gujarat, 362 001, India

    A. L. Rathnakumar, P. P. Thirumalaisamy, Narendra Kumar, H. B. Lalwani & T. Radhakrishnan

  2. University of Agricultural Sciences (UAS), Dharwad, Karnataka, 580005, India

    Hajisaheb L. Nadaf, P. Nagaraju & Basavaraj Yenagi

  3. Oilseeds Research Station, Mahatma Phule Krishi Vidyapeeth (MPKV), Jalgaon, Maharashtra, 425 005, India

    Sudam C. Patil, S. S. Patil, J. Suryawanshi & J. Khatod

  4. Agricultural Research Station, MPKV, K. Digraj, Sangli, Maharashtra, 416 305, India

    Milind P. Deshmukh, C. T. Kumbhar & D. K. Kathmale

  5. Agricultural Research Station, Acharya NG Ranga Agricultural University (ANGRAU), Kadiri, Andhra Pradesh, 515591, India

    K. S. S. Naik, Prasanna Rajesh & K. Vemana

  6. Tamil Nadu Agricultural University (TNAU), Aliyarnagar, Tamil Nadu, 604 002, India

    S. Sundaravadana & N. Premalatha

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

    Surendra S. Manohar, Murali T. Variath, S. Chaudhari, Manish K. Pandey, Rajeev K. Varshney & Pasupuleti Janila

Authors
  1. A. L. Rathnakumar
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  2. Surendra S. Manohar
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  3. Hajisaheb L. Nadaf
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  4. Sudam C. Patil
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  5. Milind P. Deshmukh
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  6. P. P. Thirumalaisamy
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  7. Narendra Kumar
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  8. H. B. Lalwani
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  9. P. Nagaraju
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  10. Basavaraj Yenagi
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  11. S. S. Patil
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  12. J. Suryawanshi
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  14. C. T. Kumbhar
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  16. K. S. S. Naik
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  17. Prasanna Rajesh
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  18. K. Vemana
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  19. S. Sundaravadana
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  26. Pasupuleti Janila
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Contributions

PPT, NK, HBL and TR—conducted evaluation trial and recorded observations at DGR, Junagadh, Gujarat; HLN, PN, BY—conducted evaluation trial and recorded observations at UAS Dharwad, Karnataka; SCP, SSP, JS, JK—conducted evaluation trial and recorded observations at Jalgaon, Maharashtra; MPD, CTK and DKK—conducted evaluation trial and recorded observations at Kasbe Digraj, Maharashtra; KSSN, PR and KV—conducted evaluation trial and recorded observations at Kadiri, Andhra Pradesh; SS and NP—conducted evaluation trial and recorded observations at Aliyarnagar, Tamil Nadu; TVM, SC, SSM—conducted evaluation trial and recorded observations at ICRISAT; SSM—development of material, seed increase, genetic purity of material, and seed supply; TVM, SC—prepared tables and manuscript; MKP and RKV—genotyping; PJ—Developed the introgression lines, conceptualized the experiments, designed the evaluation trials, data analysis, interpretation of data, and edited manuscript; ALR—Designed and coordinated MLTs at different centers, data collection, edited manuscript, and advanced superior performing lines for AICRPG trials for release.

Corresponding author

Correspondence to Pasupuleti Janila.

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Rathnakumar, A.L., Manohar, S.S., Nadaf, H.L. et al. G × E interactions in QTL introgression lines of Spanish-type groundnut (Arachis hypogaea L.). Euphytica 216, 85 (2020). https://doi.org/10.1007/s10681-020-02613-x

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  • DOI: https://doi.org/10.1007/s10681-020-02613-x

Keywords

  • Groundnut
  • GGE biplot
  • Late leaf spot resistance
  • Genotype × environment interactions
  • Stability
  • Introgressed lines

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