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Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region

Year 2022, Volume: 8 Issue: 1, 41 - 52, 30.01.2022

Abstract

To determine yield stability and the effects of the interaction between the genotype and the environment, 101 wheat
genotypes were assessed over 2 years (2018-2020). The experiments were performed at different diverse locations in
Kashmir traversing a significant altitudinal range viz. Khudwani (34.38°N of latitude and 77.0°E of longitude) and Wadura
(34.52°N of latitude and 74.52°E of longitude) following recommended agronomical practices. Analysis of the main additive
effect and multiplicative interaction (AMMI) of the seed yield variance revealed a significant genotype, environmental
and genotype × environment interaction effect at p< 0.01% probability level. Three main principal components based
on AMMI explained most of the variation due to genotype × environment interaction at p<0.01% probability level. The
GGE biplot indicated that two mega-environments were present. The first section (large environment) contains the KH18
and WA18 test environments with genotypes G2, G38, and G16 with the highest yield (winner), the second section (large
environment) contains KH19 and genotypes G28, G19 and G3, KH19 and WA18 WA19 environment included. as a winner.
Plots of mean versus stability show that the genotypes exhibiting both high mean yield and stability scores at the test sites
are G2, G50, G26, G80, and G1. Hence, the above identified genotypes with superior yield and other desirable attributes
can be recommended as generally adapted or niche specific genotypes for broad and specific areas, respectively.

References

  • Abebe T, Alamerew S and Tulu L, (2017). Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oryza sativa L.) Genotypes at fogera and pawe, Ethiopia. Adv. Crop. Sci. Technol 5:270. DOI:10.4172/2329-8863.1000272.
  • Sallam A, Alqudah AM, Dawood MFA, Baenziger PS and Börner A, (2019). Drought stress tolerance in wheat and barley, Advances in Physiology, Breeding and Genetics Research. Int. J. Mol . Sci. 20:31-37.
  • Ajay BC, Aravind J, Bera SK, Singh AL, Narendra K, Gangadhar K and Kona P, (2020). Evaluation of GEI and yield stability Analysis in Peanut Under Phosphorus Stress Condition Using Stability Parameter of AMMI Model. Agric Res 9: 477- 486.,
  • Ajay BC, Aravind J and Abdul Fiyaz R, (2021). Ammistability: Additive main effects and multiplicative interaction Model Stability Parameters. R package version 0.1.1, https:// ajaygpb.github.io/ammistability/https://CRAN.Rproject. org/package=ammistability. Baranwal DK, Mishra VK, Vishwakarma MK, Punam, Yadav S and Arun B, (2012). Studies on genetic variability, correlation and path Analysis for Yield and Yield Contributing Traits in Wheat (T. aestivum L. EmThell.). Plant Arch 12: 99-104.
  • Ebdon J S and Gauch H G (2002). Additive main effect and multiplicative interaction analysis of national turf grass performance trials: II. Cultivar recommendations. Crop. Sci. 42: 497-506. FAOSTAT Statistics Division Online Database (2019- 2021). http://faostat.fao.org.
  • Frutos E, Galindo MP and Leiva V, (2014). An interactive biplot implementation in R for modelling genotype-by-environment interaction. Stoch Environ Res Risk Assess 28:1629-1641. Gauch HG Jr and Zobel RW, (1997). Identifying megaenvironments and targeting genotypes. Crop. Sci. 37: 311-326.
  • Kant S, Lamba RAS, Arya RK and Panwar IS, (2014). Effect of terminal heat stress on stability of yield and quality parameters in bread wheat in southwest Haryana. J Wheat Res 6(1): 64-73.
  • Kant S, Lamba RAS, Panwar IS and Arya RK, (2011). Variability and inter-relationship among yield and quality parameters in bread wheat. J Wheat Res3(2): 50-55.
  • Katsenios N, Sparangis P, Leonidakis D, Katsaros G, Kakabouki I, Vlachakis D and Efthimiadou A, (2021). Effect of genotype×Environment interaction on yield of maize Hybrids in Greece Using AMMI Analysis. Agronomy 11(3): 479.
  • Kaya Y, Akcura M and Taner S, (2006). GGE-biplot analysis of multi-environment yield trials in bread wheat. Turk J Agric For 30: 325-337.
  • Kroonenberg PM, (1995). Introduction to biplots for G×E tables. Department of Mathematics, Research Report #51, University of Queensland, 22.
  • Kumar P, Singh G, Kumar S, Kumar A and Ojha A, (2016). Genetic analysis of grain yield and its contributing traits for their implication in improvement of bread wheat cultivars. J Appl Nat Sci8(1): 350-357.
  • Ljubičić N, Popović V, Ćirić V, Kostić M, Ivošević B, Popović D, Pandžić M, El Musafah S and Janković S, (2021). Multivariate interaction analysis of winter wheat grown in environment of limited soil conditions. Plants 10(3): 604.
  • Mansouri A, Oudjehih B, Benbelkacem A, Elabidine Fellahi Z and Bouzerzour H, (2018). Varation and relationships among agronomic traits in durum wheat (Triticum turgidum L.) thell ssp. under south mediterranean growth conditions, stepwise and path analysis. Int J Agron 2018: https://Doi.Org/10.1155/2018/8191749.
  • Mitrovic B, Stanisavljevi D, Treski S, Stojakovic M, Ivanovic M, Bekavac G and Rajkovic M, (2012). Evaluation of experimental maize hybrids tested in multi-location trials using AMMI and GGE biplot analysis. Turkish J Field Crops 17(1): 35-40.
  • Mohammadi R, Etminan A and Shooshtari L, (2019). Agro-physiological characterization of durum wheat genotypes under drought conditions. Exp Agric 55: 484-499.
  • Mohammadi R, Armion M, Zadhasan E, Ahamadi MM and Amri MM, (2018). The use of AMMI model for interpreting GEI in durum wheat. Exp Agric 54: 670-683.
  • Mwadzingeni L, Shimelis H and Tsilo TJ, (2017). Variance components and heritability of yield and yield components of wheat under droughtstressed and non-stressed conditions. Aust J Crop Sci 11(11): 1425-1430
  • Nagar SS, Kumar P, Vishwakarma SR, Gyanendra and Tyagi BS, (2018). Assessment of genetic variability and character association for grain yield and its component traits in bread wheat (Triticum aestivum L.). J Appl Nat Sci10(2): 797-804.
  • Rad MN, Kadir MA, Rafii M.Y, Jaafar HZ, Naghavi MR and Ahmadi F, (2013). Genotype environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum L.) under normal and drought stress conditions. Aust J Crop Sci, 7(7): 956.
  • Rahmatollah K, Mohtasham M, Naser S, Ali A, Barzo R, Faramarz S and Fariba A, (2013). GGE biplot analysis of yield stability in multienvironment Trials of Lentil Genotypes under Rainfed Condition. Int J Res Rev 4(12): 7-12.
  • Shashikumara P, Harikrishna, Jain N, Sinha N, Chauhan D, Rahul MP, Ambati D, Singh JB, Sai Prasad SV, Singh GP, Prabhu KV and Singh PK, (2020). Genetic variability, GEI for grain Yield of Wheat (Triticum aestivum) backcross inbreed lines population under different regimes. Indian J Agric Sci90(9): 1687-84.
  • Verma A and Singh GP, (2021a). GxE interactions analysis of wheat genotypes evaluated under peninsular zone of the country by AMMI model. Am J Agric For 9(1): 29-36.
  • Verma A and Singh GP, (2021b). Stability, adaptability analysis of wheat genotypes by AMMI with BLUP for restricted irrigated multi location trials in peninsular zone of India. Agric Sci 12(3): 198-212.
  • Yan W, (2002). Singular value partitioning in biplot analysis of multi-environment trial data. Agron J 94: 990-996.
  • Yan W and Tinker NA, (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can J Plant Sci 86: 623-645 Yan W, (2001). GGE biplot-a windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agron J 93: 1111-1118.
  • Yan W and Hunt LA, (2002). Biplot analysis of diallel data. Crop Sci 42: 21-30.
  • Yan W, Hunt LA, Sheng Q and Szlavnics Z, (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci 40(3): 597-605.
  • Yan W and Kang MS, (2003). GGE biplot analysis : A graphical tool for breeders, geneticist, and agronomists. CRS PRESS. Boca Raton, FL. Yan W and Racjan I, (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci 42 : 11-20
  • Yang RC, Crossa J, Cornelius PL and Bugueno J, (2009). Biplot analysis of genotype× environment interaction: Proceed with caution. Crop Sci 49: 1564-1576
There are 30 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Articles
Authors

Adil Naık This is me

Shabir Hussain Wanı This is me

Sumira Rafıqee This is me

Mehrajuddin Sofı This is me

Najeebul Rehman Sofı This is me

Asif Bashir Shıkarı This is me

Ashaq Hussaın This is me

Fayaz Mohıddın This is me

Intikhab Aalum Jehangır This is me

Gazala Hassan Khan This is me

Muneer Ahmed Sofı This is me

Farooq Ahmed Sheıkh This is me

Mohammad Ashraf Bhat This is me

Mohammad Nisar Khan This is me

Zahoor Ahmed Dar This is me

Mehdi Rahımı This is me

Publication Date January 30, 2022
Published in Issue Year 2022 Volume: 8 Issue: 1

Cite

APA Naık, A., Wanı, S. H., Rafıqee, S., Sofı, M., et al. (2022). Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal of Crop Breeding and Genetics, 8(1), 41-52.
AMA Naık A, Wanı SH, Rafıqee S, Sofı M, Sofı NR, Shıkarı AB, Hussaın A, Mohıddın F, Jehangır IA, Khan GH, Sofı MA, Sheıkh FA, Bhat MA, Khan MN, Dar ZA, Rahımı M. Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal. January 2022;8(1):41-52.
Chicago Naık, Adil, Shabir Hussain Wanı, Sumira Rafıqee, Mehrajuddin Sofı, Najeebul Rehman Sofı, Asif Bashir Shıkarı, Ashaq Hussaın, Fayaz Mohıddın, Intikhab Aalum Jehangır, Gazala Hassan Khan, Muneer Ahmed Sofı, Farooq Ahmed Sheıkh, Mohammad Ashraf Bhat, Mohammad Nisar Khan, Zahoor Ahmed Dar, and Mehdi Rahımı. “Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum Aestivum L.) Genotypes of Himalayan Region”. Ekin Journal of Crop Breeding and Genetics 8, no. 1 (January 2022): 41-52.
EndNote Naık A, Wanı SH, Rafıqee S, Sofı M, Sofı NR, Shıkarı AB, Hussaın A, Mohıddın F, Jehangır IA, Khan GH, Sofı MA, Sheıkh FA, Bhat MA, Khan MN, Dar ZA, Rahımı M (January 1, 2022) Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal of Crop Breeding and Genetics 8 1 41–52.
IEEE A. Naık, “Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region”, Ekin Journal, vol. 8, no. 1, pp. 41–52, 2022.
ISNAD Naık, Adil et al. “Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum Aestivum L.) Genotypes of Himalayan Region”. Ekin Journal of Crop Breeding and Genetics 8/1 (January 2022), 41-52.
JAMA Naık A, Wanı SH, Rafıqee S, Sofı M, Sofı NR, Shıkarı AB, Hussaın A, Mohıddın F, Jehangır IA, Khan GH, Sofı MA, Sheıkh FA, Bhat MA, Khan MN, Dar ZA, Rahımı M. Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal. 2022;8:41–52.
MLA Naık, Adil et al. “Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum Aestivum L.) Genotypes of Himalayan Region”. Ekin Journal of Crop Breeding and Genetics, vol. 8, no. 1, 2022, pp. 41-52.
Vancouver Naık A, Wanı SH, Rafıqee S, Sofı M, Sofı NR, Shıkarı AB, Hussaın A, Mohıddın F, Jehangır IA, Khan GH, Sofı MA, Sheıkh FA, Bhat MA, Khan MN, Dar ZA, Rahımı M. Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region. Ekin Journal. 2022;8(1):41-52.