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Intra-varietal stability performance of popular rice landrace ‘C14-8’ in the Andaman Islands

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Abstract

The multitude of agronomic merits of a traditionally tall and photosensitive japonica rice landrace C14-8 has enabled its popularity in the tropical Andaman and Nicobar Islands, India. However, we noticed distinct variation for grain husk colour in this culture. Field evaluation of four grain husk color selections over 4 years across three major rice growing islands revealed significant variation for agro-morphological traits studied. In the overall population, harvest index was identified as the potent selectable trait for indirect selection. Through AMMI stability analysis, the environmental, G × E interaction and genotype effects were recorded as 24.4%, 12.5% and 12.3%, respectively. The highest positive genotypic index was recorded at C14-8-11-108 (0.39) followed by C14-8-11-113 (0.29) and C14-8-11-91 (0.20) which also out-yielded the original population by about 20% across years thus indicating the consistency and favorability of these selections under marginal ecosystem. The findings of this paper will be useful for the breeding and conservation perspectives of such unique germplasm having climatically adaptive traits under marginal ecosystems.

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References

  1. Arunachalam V, Chaudhury SS, Sarangi SK, Ray T, Mohanty BP, Nambi VA, Mishra S (2006) Rising on rice: the story of Jeypore. M.S. Swaminathan Research Foundation, Chennai, p 37

    Google Scholar 

  2. Basic Statistics (2011 and 2014) Directorate of economics and statistics, Port Blair. Andaman Nicobar Islands, India

  3. Bellard C, Bertelsmeier C, Leadley P, Thuillera W, Couechamp F (2012) Impacts of climate change on the future of biodiversity. Ecol Lett 15:365–377

    Article  Google Scholar 

  4. Blanche SB, Utomo HS, Wenefrida I, Myers GO (2009) Genotype x environment interactions of hybrid and varietal rice cultivars for grain yield and milling quality. Crop Sci 49(6):2011–2018

    Article  Google Scholar 

  5. Brush S, Meng E (1998) Farmer’s valuation and conservation of crop genetic resource. Genet Resour Crop Evolut 45:139–150

    Article  Google Scholar 

  6. Ceccarelli S, Grando S, Singh M, Michael M, Shikho A, Al-Issa M, Al-Saleh A, Kaleonjy G, Al-Ghanem SM, Al-Hasan AL, Dalla H, Basha T (2003) A methodological study on participatory barley breeding II. Response to selection. Euphytica 133:185–200

    Article  Google Scholar 

  7. Chand S, Singh S, Shinoj P, Roy SD, Kumar A (2015) Explaining the status and scope of ecotourism development for livelihood security: Andaman and Nicobar Islands. Int J Sust Dev World 22(4):335–345

    Article  Google Scholar 

  8. Crossa J, Gauch HG, Zobel RW (1990) Additive main effects and multiplicative interactions analysis of two international maize cultivar trials. Crop Sci 30(3):493–500

    Article  Google Scholar 

  9. Dawson JC, Murphy KM, Jones SS (2008) Decentralized selection and participatory approaches in plant breeding for low input systems. Euphytica 160:143–154

    Article  Google Scholar 

  10. Frankel OH, Brown AHD, Burdon JJ (1995) The conservation of plant biodiversity. Cambridge University Press, Cambridge

    Google Scholar 

  11. Gauch HG (1992) Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam

    Google Scholar 

  12. Gauch HG, Zobel RW (1996) AMMI analyses of yield trials. In: Kang MS, Gauch HG (eds) Genotype by environment interaction. CRC, Boca Raton, pp 85–122

    Chapter  Google Scholar 

  13. Gautam RK, Singh PK, Sakthivel K, Srikumar M, Kumar N, Kumar K, Singh AK, Dam Roy S (2015) Analysis of pathogenic diversity of the rice bacterial blight pathogen (Xanthomonas oryzae pv. oryzae) in the Andaman Islands and identification of effective resistance genes. J Phytopathol 16:423–432

    Article  Google Scholar 

  14. Gautam RK, Singh PK, Zamir Ahmed SK, Kumar Naresh, Singh AK, Sakthivel K, Dam Roy S (2016) ANR38 (IC 0613963, INGR15014), a rice (Oryza sativa) germplasm with open floret. Ind J Plant Genet Resour 29(2):201

    Google Scholar 

  15. Gollob HF (1968) A statistical model which combines features of factor analytic and analysis of variance techniques. Psychometrika 33:73–115

    Article  CAS  Google Scholar 

  16. Hanson CH, Robinson HF, Comstock RE (1955) Biometrical studies of yield in segregating population of Korean lespedeza. Agron J 48:262–272

    Google Scholar 

  17. Haugerud A, Collinson PM (1990) Plants, genes and people improving the relevance of plant breeding in Africa. Exp Agr 26:341–362

    Article  Google Scholar 

  18. Katsura K, Tsujimoto Y, Oda M, Matsushima KI, Inusah B, Dogbe W, Sakagami JI (2016) Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a floodplain ecosystem in West Africa. Eur J Agron 73:152–159

    Article  Google Scholar 

  19. Krishnamurthy SL, Sharma SK, Sharma DK, Sharma PC, Singh YP, Mishra VK, Burman D, Maji B, Bandyopadhyay BK, Mandal S, Sarangi SK, Gautam RK, Singh PK, Manohara KK, Marandi BC, Singh DP, Padmavathi G, Vanve PB, Patil KD, Thirumeni S, Verma Khan AH, Tiwari S, Shakila M, Ismail M, Gregorio GB, Singh RK (2015) Analysis of stability and G × E interaction of rice genotypes across saline and alkaline environments in India. Cereal Res Commun 44(2):349–360

    Article  Google Scholar 

  20. Mathure S, Shaikh A, Renuka N, Wakte K, Jawali N, Thenane R, Nadaf A (2011) Characterization of aromatic rice (Oryza sativa L.) germplasm and correlation between their agronomic and quality traits. Euphytica 179:237–246

    Article  Google Scholar 

  21. Meena BS, Ram B, Narolia RS, Singh P (2015) Yield, quality, nutrient uptake and economics of spring sugarcane (Saccharum officinarum) as influenced by balanced fertilization in clay loam soils of Rajasthan. Indian J Agron 60:457–463

    CAS  Google Scholar 

  22. Mondal AB, Elanchezhian R, Majumder ND (2004) Genetic management for increased productivity of rice in Andaman and Nicobar Islands. Central Island Agricultural Research Institute, Port Blair, pp 18–19

    Google Scholar 

  23. Nayak D, Bose LK, Singh S, Nayak P (2008) Additive main effects and multiplicative interaction analysis of host-pathogen relationship in rice bacterial blight pathosystems. Plant Pathol J 24(3):337–351

    Article  Google Scholar 

  24. Rijal DK, Sherchand KK, Sthapit BR, Pandey YR, Adhikari N, Kadayat KB, Gautam YP, Chaudhary P, Poudyal CL, Gupta SR, Tiwari PR (1998) Strengthening the scientific basis for in situ conservation of agrobiodiversity: findings of site selection in Kaski, Nepal. NP Working Paper 1/98.NARC/LI-BIRD, Nepal and IPGRI, Rome, Italy

  25. Romagosa I, Fox PN, Del Moral LG, Ramos JM, Del Moral BG, De Togores FR, Molina-Cano JL (1993) Integration of statistical and physiological analyses of adaptation of near-isogenic barley lines. Theor Appl Genet 86(7):822–826

    Article  CAS  Google Scholar 

  26. 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 Agr Sci 146(5):571–581

    Article  Google Scholar 

  27. Saitoh K, Onishi K, Mikami I, Thidar K, Sano Y (2004) Allelic diversification at the C (OsC1) locus of wild and cultivated rice: nucleotide changes associated with phenotypes. Genetics 168(2):997–1007

    Article  CAS  Google Scholar 

  28. Samonte SOP, Wilson LT, McClung AM, Medley JC (2005) Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci 45(6):2414–2424

    Article  Google Scholar 

  29. Sharifi P, Aminpanah H, Erfani R, Mohaddesi A, Abbasian A (2017) Evaluation of genotype × environment interaction in rice based on AMMI model in Iran. Rice Sci 24(3):173–180

    Article  Google Scholar 

  30. Tariku S, Lakew T, Bitew M, Asfaw M (2013) Genotype by environment interaction and grain yield stability analysis of rice (Oryza sativa L.) genotypes evaluated in North Western Ethiopia. Net J Agr Sci 1(1):10–16

    Google Scholar 

  31. Tripp R (2001) Seed provision and agricultural development. Overseas Development Institute, London

    Google Scholar 

  32. Vandermeer J (1995) The ecological basis of alternative agriculture. Annu Rev Ecol Ecol Syst 26:201–224

    Article  Google Scholar 

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

    Article  Google Scholar 

  34. Zobel RW, Wright MJ, Gauch HG (1988) Statistical analysis of a yield trial. Agron J 80(3):388–393

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank the Director, ICAR-Central Island Agricultural Reserarch Institute, Port Blair for financial support to the Project HORTCARISIL201200100146.

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Authors and Affiliations

  1. ICAR-Central Island Agricultural Research Institute, Port Blair, Andaman & Nicobar Islands, 744105, India

    R. K. Gautam, P. K. Singh, K. Venkatesan, K. Sakthivel, S. K. Zamir Ahmed, S. Swain, K. Devakumar, K. Shyam Sunder Rao & B. L. Meena

  2. Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, Pusa, New Delhi, 110012, India

    M. A. Iquebal & S. Jaiswal

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  1. R. K. Gautam
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  2. P. K. Singh
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  3. K. Venkatesan
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  4. K. Sakthivel
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  5. S. K. Zamir Ahmed
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  6. S. Swain
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  7. K. Devakumar
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  8. K. Shyam Sunder Rao
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  9. B. L. Meena
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  10. M. A. Iquebal
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  11. S. Jaiswal
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Correspondence to R. K. Gautam.

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Communicated by T. Harangozo

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Gautam, R.K., Singh, P.K., Venkatesan, K. et al. Intra-varietal stability performance of popular rice landrace ‘C14-8’ in the Andaman Islands. CEREAL RESEARCH COMMUNICATIONS 48, 103–111 (2020). https://doi.org/10.1007/s42976-019-00003-1

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