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Genotype X environment interaction and stability analysis in upland rice (Oryza sativa L.) varieties in Ethiopia

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Abstract

Determination of the genotype x environment interaction (GEI) and stability of upland rice varieties for grain yield provides the basis to identify high-yielding and stable upland rice varieties across different environments and to delineate and identify rice mega environments in Ethiopia. Twenty rice varieties were laid out in a randomized complete block design with three replications and evaluated across six locations that represent the major rice growing agro-ecologies in the country. The combined analysis of variance over environments revealed significant differences among genotypes, environments and GEI for grain yield. The significant GEI implicated the differential response of the genotypes in different environments and demonstrated the remarkable effect of GEI on the performance of the genotypes. The partitioning of GEI based on the AMMI model revealed that only the first two terms of AMMI were significant. The E and GEI had a higher contribution than G for most of the traits, and GEI had larger contribution than G and E to the variations in the studied varieties for yield. The Interaction Principal Component Axis one (IPC1) and two (IPC2) contributed to 55.1% and 24.8% of the GEI sum of squares, respectively. NERICA-3, Hidasse and Chewaqa varieties were identified as responsive to changing environments and the first three best varieties across poor to most favorable environments. NERICA-12 and ADET were identified as the most stable and widely adapted varieties based on most of the stability parameters. NERICA-4, NERICA-13 and Getachew varieties were identified as stable varieties by most of the stability parameters and selected as the first three best varieties at poor to average environments. In conclusion, this study revealed that GE interactions were an important source of rice yield variation, and its AMMI biplots were forceful for visualizing the response of genotypes to environments.

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Change history

  • 09 September 2022

    Affiliation of Desta Abebe has been updated as well as some references.

References

  • Abdi Y, Yimenu Y (2020) Effect of rainfall and temperature on crop production in Quarit District. Int J Environ Monit Anal 8(4):88–95. https://doi.org/10.11648/j.ijema.20200804.12

  • Akter A, Hasan MJ, Kulsum MU, Lipi LF, Begum H, Rahman NMFTF, Baki MZI (2019) Stability and adaptability of promising hybrid rice genotypes in different locations of Bangladesh. Adv Plants Agric Res 9(1):35–39. https://doi.org/10.15406/apar.2019.09.00407

    Article  Google Scholar 

  • Alberts MJA (2004) Comparison of statistical methods to describe Genotype x environment interactions and yield stability in multi-location maize trials. M. Sc. Thesis, University of the Free State

  • Amare A (2015) Conservation challenges of Gibe Sheleko National Park, Southwestern Ethiopia. Nat Resour 6:286–289

  • Atlin GN, McRae KB, Lu X (2000b) Genotype × region interaction for two‐row barley yield in Canada. Crop Sci 40(1):1–6

  • Bose LK, Jambhulkar NN, Pande K, Singh ON (2013) Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions. Chil J Agric Res 74:3–9

  • Ceccarelli S (1989) Wide adaptation: How wide. Euphytica 40:197-205

  • Colombari Filho JM, de Resende MDV, de Morais OP, Pereira A, Guimarães EP, Pereira JA (2013) Upland rice breeding in Brazil: a simultaneous genotypic evaluation of stability, adaptability and grain yield. Euphytica 192:117–129

  • CSA (2021) Central Statistical Agency, Report on area and production of crops (Private peasant holdings, Meher season). Addis Ababa, Ethiopia

  • Donoso-Ñanculao G, Paredes M, Becerra V, Arrepol C, Balzarini M (2016) GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate. Chil J Agric Res 76(2):152–157

  • Eberhart SA, Russell WA (1966) Stability parameters for comparing varieties. Crop Sci 6(3):36–40

    Article  Google Scholar 

  • Ethiopian Institute of Agricultural Research (EIAR) (2019) Public Communication Directorate. http://www.eiar.gov.et/aarc. Accessed 25 Nov 2020

  • Ethiopian Mapping Authority (EMA). (1988). National Atlas of Ethiopia. Addis Ababa, Ethiopia, pp 4–21

  • EUCORD (European Cooperative for Rural Development) (2012) Rice sector development in East Africa, a desk study prepared for the Common fund for commodities

  • FAOSTAT (2019) Statistical database. Food and Agriculture Organizations of the United Nations

  • Fasahat P, Rajabi A, Mahmoudi SB (2015) An overview on the use of stability parameters in plant breeding. Biom Biostat Int J 2(5):149-159

  • Gauch HG (1988) Model selection and validation for yield trials with interaction. Biometrics 44(3):705–715

    Article  Google Scholar 

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

  • Gauch HG, Zobel W (1996) AMMI analysis of yield trials (Issue 1).

  • Gezie M (2019) Farmer's response to climate change and variability in Ethiopia: a review. Cogent Food Agric 5(1):1613770

  • Hopkins AA, Vogel KP, Moore KJ, Johnson KD, Carlson IT (1995) Genotype effects and genotype by environment interactions for traits of elite switchgrass populations. Crop Sci 35:125–132

    Article  Google Scholar 

  • Jadhav S, Balakrishnan D, Gouri Shankar V, Beerelli K, Chandu G, Neelamraju S (2019) Genotype by environment (G×E) interaction study on yield traits in different maturity groups of rice. J Crop Sci Biotech 22(5):425–449. https://doi.org/10.1007/s12892-018-0082-0

    Article  Google Scholar 

  • Kijima Y, Otsuka K, Sserunkuuma D (2008) Assessing the impact of NERICA on income and poverty in central and western Uganda. Agric Econ 38:327–337

    Article  Google Scholar 

  • Manneh B, Stam P, Struik PC, Bruce-Oliver S, van Eeuwijk FA (2007) QTL-based analysis of genotype-by-environment interaction for grain yield of rice in stress and non-stress environments. Euphytica 156:213–226. https://doi.org/10.1007/s10681-007-9368-8

    Article  Google Scholar 

  • Martin JH, Waldren RP, David LS (2006) Principles of field crop production (4th edition) (4th ed.)

  • Meron A (2016) The contributions and challenges of rice value chain development on the livelihood of Small Holder Rice

  • MoARD (2010) Ministry of agriculture and rural development national rice research and development strategy of Ethiopia. MOARD, Addis Ababa, Ethiopia

  • Oladosu Y, Rafii MY, Abdullah N, Magaji U, Miah G, Hussin G, Ramli A (2017) Genotype × environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia. Acta Agric Scand Sect B Soil Plant Sci. https://doi.org/10.1080/09064710.2017.1321138

    Article  Google Scholar 

  • Paudel MN (2011) Rice (Oryza sativa L.) cultivation in the highest elevation of the world. Agron J Nepal 2:31–41

  • Purchase JL, Hatting H, Van Deventer CS (2000) Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South Afr J Plant Soil 17(13):101–107. https://doi.org/10.1080/02571862.2000.10634878

    Article  Google Scholar 

  • SAS Institute (2004) SAS/STAT user’s guide. SAS Institute Inc., Cary, North Carolina, USA

  • 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 

  • Tadesse T, Atnaf M, Alemu D, Tadesse T, Shiratori K (2019) Advances in Rice Research and Development in Ethiopia. In: Advances in Rice Research and Development in Ethiopia (Issue February)

  • 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 Agric Sci 1:10–16

  • Yan W, Hunt LA (2001) Interpretation of genotype x environment interaction for winter wheat yield in Ontario. Crop Sci 41:19-25

  • Yan W, Rajcan I (2002) Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Sci 42:11–20

  • Yan W, Kang MS (2003) GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton, FL

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

  • Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE biplot vs AMMI analysis of genotype-by-environment data. Crop Sci 47(2):643–655. https://doi.org/10.2135/cropsci2006.06.0374

    Article  Google Scholar 

  • Zali H, Farshadfar E (2011) Non-parametric analysis of phenotypic stability in chickpea (Cicer arietinum L.) genotypes in Iran non-parametric analysis of phenotypic stability in chickpea (Cicer arietinum L.) genotypes in Iran. Crop Breed J 1(1):85–96

    Google Scholar 

  • Zewdu Z, Abebe T, Mitiku T, Worede F, Dessie A, Berie A, Atnaf M (2020) Performance evaluation and yield stability of upland rice (Oryza sativa L.) varieties in Ethiopia. Cogent Food & Agric 6(1):1842679. https://doi.org/10.1080/23311932.2020.1842679

  • Zobel RW (1996) Ammi analysis of yield trials. In : Genotype-by-environment interaction, kang ms and hg gauch (eds) 1–17

  • Zobel RW, Wright MJ, Gauch HG (1998) Statistical analysis of a yield trial. Agron J 80:388–393

    Article  Google Scholar 

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Acknowledgements

The author gratefully acknowledges to Dr. Abush Tesfaye, for his guidance and much helpful advice of my manuscript write-up. I am also thankful to the Ethiopian Institute of Agricultural Research (EIAR) for providing me the required financial support. My deepest gratefulness goes to Pawe Agricultural Research center for their support in field trial management and arrangement of the necessary facilities. The authors also extend gratefulness goes to Fogera National Rice Research and Training Center (FNRRTC), Jimma, Tepi and Maytsebri research centers for their great support in field trial management.

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Authors and Affiliations

  1. Ethiopian Institute of Agricultural Research, Pawe Agricultural Research Center, Pawe, Ethiopia

    Desta Abebe

  2. School of Plant Sciences, Haramaya University, Dire Dawa, Ethiopia

    Wassu Mohammed

  3. International Institute of Tropical Agriculture, Ibadan, Nigeria

    Abush Tesfaye

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  1. Desta Abebe
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  2. Wassu Mohammed
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  3. Abush Tesfaye
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Correspondence to Desta Abebe.

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Abebe, D., Mohammed, W. & Tesfaye, A. Genotype X environment interaction and stability analysis in upland rice (Oryza sativa L.) varieties in Ethiopia. J. Crop Sci. Biotechnol. 26, 51–62 (2023). https://doi.org/10.1007/s12892-022-00161-5

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