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Biplot analysis of genotype × environment interactions and identification of stable sources of resistance to Ascochyta blight in chickpea (Cicer arietinum L.)

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Abstract

Ascochyta blight (AB) caused by Ascochyta rabei (Pass.) Labr. is one of the most important constraints that limits the productivity of chickpea (Cicer arietinum L.). The absence of high levels of stable resistant sources to the pathogen has necessitated the continued search and identification of new sources of resistance. The main aim of this work was to identify new sources of resistance to AB and validate their stability across multi-environments. A collection of 424 elite chickpea genotypes were evaluated for AB resistance under controlled environmental conditions in 2005–2006 at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India. Fifty-one genotypes with AB severity ≤3.0 (based on the 1–9 scale) were selected for a second round of evaluation in 2006–2007 at ICRISAT. Based on the results obtained during both years, an Ascochyta Blight Nursery (ABN) was established to evaluate the selected 29 chickpea genotypes, including 4 germplasm lines, 24 breeding lines and a highly susceptible line. The nursery was evaluated at 3 locations (Almora, Dhaulakuan and Ludhiana) in India over three crop seasons (2007–2008, 2008–2009 and 2009–2010) and under controlled environment conditions at ICRISAT to further confirm the stable performance of these genotypes. Analysis of variance revealed highly significant effects of year, location (year), genotype and genotype × location (year) interaction. The genotype and genotype × environment (GGE) biplot analyses of multi-environment data showed that resistance of five genotypes (EC 516934, ICCV 04537, ICCV 98818, EC 516850 and EC 516971) had mean disease severity ≤3.0 on the 1–9 scale and the reactions were consistent across the environments. Genotype EC 516934 was found resistant to AB at the seedling stage in the controlled environment at ICRISAT. The remaining genotypes showed moderately resistant reaction (3.0–5.0) to AB under controlled environment conditions. A significant positive correlation was found between the performance of the genotypes under controlled environment and field screening conditions (r = 0.70; P < 0.01). The resistant genotypes identified in the present study would be useful in breeding programs as stable resistant donors to evolve agronomically desirable AB resistant varieties.

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References

  • Ambardar VK, Singh SK (1996) Identification and elucidation of Ascochyta rabiei isolates of chickpea in Jammu. Indian J Mycol Plant Pathol 26:4–8

    Google Scholar 

  • Atik O, Ahmed S, Abang MM, Imtiaz M, Hamwieh A, Baum M, Ahmed AE, Murad S, Yabrak MM (2013) Pathogenic and genetic diversity of Didymella rabiei affecting chickpea in Syria. Crop Prot 46:70–79

    Article  Google Scholar 

  • Basandrai AK, Pande S, Kishore GK, Crouch JH, Basandrai D (2005) Cultural, morphological and pathological variation in Indian isolates of Ascochyta rabiei, the chickpea blight pathogen. Plant Pathol J 21:207–213

    Article  Google Scholar 

  • Basandrai AK, Basandrai D, Pande S, Sharma M, Thakur SK, Thakur HL (2007) Development of Ascochyta blight (Ascochyta rabiei) in chickpea as affected by host plant resistance and plant age. Eur J Plant Pathol 119:77–86

    Article  Google Scholar 

  • Bhardwaj R, Sandhu JS, Kaur L, Gupta SK, Gaur PM, Varshney R (2010) Genetics of Ascochyta blight resistance in chickpea. Euphytica 171:337–343

    Article  Google Scholar 

  • Chen W, Coyne CJ, Peever TL, Muehlbauer FJ (2004) Characterization of chickpea differential for pathogenicity assay of Ascochyta blight and identification of chickpea accessions resistant to Didymella rabiei. Plant Pathol 53:759–769

    Article  Google Scholar 

  • Crossa J, Cornelius PL (1997) Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Sci 37:406–415

    Article  Google Scholar 

  • Food and Agriculture Organization of the United Nations. FAOSTAT. Rome. Retrieved 15 May 2012 from http://faostat.fao.org

  • Gan YT, Siddique KHM, MacLeod WJ, Jayakumar P (2006) Management options for minimizing the damage by Ascochyta blight (Ascochyta rabiei) in chickpea (Cicer arietinum L.). Field Crop Res 97(2–3):121–134

    Article  Google Scholar 

  • Haware MP, Van Rheenen HA, Prasad NSS (1995) Screening for Ascochyta blight resistance in chickpea under controlled environment and field conditions. Plant Dis 79:132–135

    Article  Google Scholar 

  • Jhorar OP, Mathauda SS, Singh G, Butler DR, Mavi HS (1997) Relationships between climatic variables and Ascochyta blight of chickpea in Punjab, India. Agric For Meteol 87:171–177

    Article  Google Scholar 

  • Jukanti AK, Gaur PM, Gowda CLL, Chibbar RN (2012) Nutritional quality and health benefits of chickpea (Cicer arietinum L.): a review. Br J Nutr 108:S12–S26

    Article  Google Scholar 

  • Kaur L, Singh VP, Sandhu JS (2012) Characterisation of Ascochyta rabiei isolates and evaluation of genotypic stability in chickpea. Arch Phytopathol Plant Prot 45(1):83–89

    Article  CAS  Google Scholar 

  • Pande S, Siddique KHM, Kishore GK, Bayaa B, Gaur PM, Gowda CLL, Bretag TW, Crouch JH (2005) Ascochyta blight of chickpea (Cicer arietinum L.): a review of biology, pathogenicity and disease management. Aust J Agric Res 56:317–332

    Article  Google Scholar 

  • Pande S, Sharma M, Gaur PM, Tripathi S, Kaur L, Basandarai A, Khan T, Gowda CLL, Siddique KHM (2011) Development of screening techniques and identification of new sources of resistance to Ascochyta blight disease of chickpea. Australas Plant Pathol 40:149–156

    Article  Google Scholar 

  • Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM (2010) GenStat for Windows (14th edition) introduction. VSN International, Hemel Hempstead

    Google Scholar 

  • Porta-Puglia A, Crino P, Mosconi C (1996) Variability in virulence to chickpea of an Italian population of Ascochyta rabiei. Plant Dis 80:39–41

    Article  Google Scholar 

  • Rubiales D, Avila CM, Sillero JC, Hybl M, Narits L, Sass O, Flores F (2012) Identification and multi-environment validation of resistance to Ascochyta fabae in faba bean (Vicia faba). Field Crop Res 126:165–170

    Article  Google Scholar 

  • Saraf CS, Rupela OP, Hegde DM, Yadav RL, Shivkumar BG, Bhattarai S, Razzaque MA, Sattar MA (1998) Biological nitrogen fixation and residual effects of winter grain legumes in rice and wheat cropping systems of the Indo-Gangetic plain. In: Kumar Rao JVDK, Johansen C, Rego TJ (eds) Residual effects of legumes in rice and wheat cropping systems of the Indo-Gangetic plain. Oxford and IBH Publishing Co. Pvt. Ltd, New Delhi, pp 14–30

    Google Scholar 

  • Sharma YR, Singh G, Kaur L (1995) A rapid technique for Ascochyta blight resistance in chickpea. Int Chickpea Pigeonpea Newsl 2:34–35

    Google Scholar 

  • Sharma M, Kiran Babu T, Gaur PM, Ghosh R, Rameshwar T, Chaudhary RG, Upadhyay JP, Gupta O, Saxena DR, Kaur L, Dubey SC, Anandani VP, Harer PN, Pande S (2012) Identification and multi-environment validation of resistance to Fusarium oxysporum f. sp. ciceris in chickpea. Field Crop Res 135:82–88

    Article  Google Scholar 

  • Sibiya J, Tongoona P, Derera J, Rij NV (2012) Genetic analysis and genotype by environment (G × E) for grey leaf spot disease resistance in elite African maize (Zea mays L.) germplasm. Euphytica 185:349–362

    Article  CAS  Google Scholar 

  • Singh M, Ceccarelli CS, Hamblin J (1993) Estimation of heritability from varietal trials data. Theor Appl Genet 86:437–441

    Article  Google Scholar 

  • Tivoli B, Baranger A, Avila CM, Banniza S, Barbetti M, Chen WD, Davidson J, Lindeck K, Kharrat M, Rubiales D, Sadiki M, Sillero JC, Sweetingham M, Muehlbauer FJ (2006) Screening techniques and sources of resistance to foliar diseases caused by major necrotrophic fungi in grain legumes. Euphytica 147:223–253

    Article  Google Scholar 

  • Vail S, Banniza S (2008) Structure and pathogenic variability in Ascochyta rabiei populations on chickpea in the Canadian prairies. Plant Pathol 57:665–673

    Article  Google Scholar 

  • Varshney R, Pande S, Kannan S, Mahendar T, Sharma M, Gaur P, Hoisington D (2009) Assessment and comparison of AFLP and SSR based molecular genetic diversity in Indian isolates of Ascochyta rabiei, a causal agent of Ascochyta blight in chickpea (Cicer arietinum L.). Mycol Prog 8(2):87–97

    Article  Google Scholar 

  • Yan W (2001) GGE biplot—a Windows application for graphical analysis of multi-environment trial data and other types of two way data. Agronomy 93:1111–1118

    Article  Google Scholar 

  • Yan W (2002) Singular-value partitioning in biplot analysis of multi-environment trial data. Agronomy 94:990–996

    Article  Google Scholar 

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

    Book  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Yan WK, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci 47:641–653

    Google Scholar 

  • Yan W, Fregeau-Reid J, Pageau D, Martin R, Mitchell-Fetch J, Etieenne M, Rowsell J, Scott P, Price M, de Hann B, Cummiskey A, Lajeunesse J, Durand J, Sparry E (2010) Identifying essential test location for oat breeding in eastern Canada. Crop Sci 50:504–515

    Article  Google Scholar 

  • Yang RC, Crossa J, Cornelius PL, Burgueno J (2009) Biplot analysis of genotype × environment interaction: proceed with caution. Crop Sci 49:1564–1576

    Article  Google Scholar 

Download references

Acknowledgments

This work was partially funded by the Council of Grain Growers Organization (COGGO), Western Australia under the research project CAN 091 122 039.

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Correspondence to M. Sharma.

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Pande, S., Sharma, M., Gaur, P.M. et al. Biplot analysis of genotype × environment interactions and identification of stable sources of resistance to Ascochyta blight in chickpea (Cicer arietinum L.). Australasian Plant Pathol. 42, 561–571 (2013). https://doi.org/10.1007/s13313-013-0219-x

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  • DOI: https://doi.org/10.1007/s13313-013-0219-x

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